Your Browser is Not Supported
Your Browser is Not Supported
To ensure jobstore run smoothly, please use the latest version of the following supported browsers:
At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 17,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day.
The Director of Data Engineering plays a critical role in the enterprise Advanced Analytics organization and is responsible for creating and executing the data strategy as well as leading and mentoring a team of skilled Data Engineers. This team plays a crucial part in managing the data infrastructure, creating data assets and data products across the company, ensuring data quality and governance, while facilitating data-driven decision-making in partnership with analytics, data science team, business leaders and other internal and external stakeholders.
Key responsibilities:
Experiences necessary for success:
Skills and competencies necessary for success:
The following qualifications are desired, but not necessarily essential:
Oshkosh is committed to working with and offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability for any part of the recruitment process, please contact our reception desk by phone at +1 (920) 502.3009 or our talent acquisition team by email corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is an Equal Opportunity and Affirmative Action Employer. This company will provide equal opportunity to all individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Information collected regarding categories as provided by law will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.
Official account of Jobstore.
We are looking to hire a System Test Engineering Manager who will work in test solutions group at NVIDIA developing manufacturing test solutions for Datacenter System products. Through your leadership, HW and SW expertise you will guide engineers to drive towards solutions that translate to processes and methodologies that have long lasting impact. As a System Test Engineering Manager you will explore the challenging areas of test, test automation and delivering high quality products to customers.
What you'll be doing:
Define manufacturing test solutions for System products translating them to methodologies and processes applicable across Datacenter and Automotive product segments.
Investigate and introduce new manufacturing test technology and methodology to enhance production efficiency.
Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software.
Review and provide feedback for DFT in early design stages.
Build automated diag generation and validation infrastructure.
Lead and advise a team of engineers to handle a product line.
Guide teams in resolving technical problems.
What we need to see:
8+ overall years of experience with test or validation experience Datacenter products.
4+ years of management experience or leading technical teams and projects
BS Degree in Electrical or Computer Engineering, or equivalent experience
Familiarity with manufacturing, chip to system.
Python programming and bash scripting experience.
Excellent communication and people skills
With competitive salaries and a generous benefits package, we are widely considered to be technology industry's best employers. If you're a creative and system testing engineering leader with a real passion for technology, we want to hear from you. Come build the future with us!
The base salary range is 184,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are looking for a software engineering manager to lead our development efforts for math libraries in the AI, HPC, and Quantum Computing (QC) domains. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies include LLMs, Computer Vision, Encryption, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?
In this role, you will lead an engineering team designing, developing, and optimizing software to accelerate various elements of the software stack. Ideal candidates will not only have experience leading software product engineering teams, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!
What you will be doing:
Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
Work closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of scientific computing, programming systems, and AI to help collect requirements for your products as well as contribute to the development of technology roadmaps.
Interact with external partners and researchers to understand their use cases and requirements.
What we need to see:
PhD or MSc degree in Computer Science, Applied Math, or related science or engineering field is preferred or equivalent experience.
8+ years of overall experience in developing high-performance numerical software.
3+ years of experience recruiting, training and leading software engineering teams.
Strong fundamentals in numerical methods such as computational linear algebra.
Hands-on experience with object oriented design, development, testing, maintenance, and performance optimization of HPC software using C++ and Python.
Strong collaboration, communication, and documentation habits.
Experience with agile software development practices using project management tools such as JIRA.
Ways to stand out from the crowd:
Experience working in a globally distributed organization.
Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.
Good knowledge of CPU and/or GPU hardware architecture.
Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks (e.g., PyTorch, JAX, TensorFlow...).
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 220,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are now looking for a Technical Program Manager that can coordinate across multiple supply chain engineering teams to alleviate technical constraints with creative solutions.
NVIDIA Corporation is a world leader in visual computing technology. Collaborating with your peers across various supply chain engineering and operations teams, you will successfully launch and sustain new NVIDIA HGX AI Supercomputing Platforms in mass production. These purpose-built systems bring together the full power of NVIDIA GPUs, NVIDIA NVLink and NVIDIA CPUs. With its end-to-end performance and flexibility, NVIDIA HGX enables researchers and scientists to combine simulation, data analytics, and AI to drive scientific progress. This product family represents the company’s fastest growing line of business as well as its largest total available market opportunity. We are looking for an experienced engineering and manufacturing operations leader to drive key technical solutions for operational challenges within our enterprise and datacenter platforms. This leader will bring deep knowledge and experience in datacenter product manufacturing as well as system level engineering capabilities on datacenter technologies.
What you’ll be doing:
In this capacity you will enhance the engineering deliverables into multiple manufacturing operations supporting the mass production of Nvidia’s datacenter products.
You'll be able to architect the test methodology for enterprise platform manufacturing tests; refine, revise and overhaul test and manufacturing flows; influence and drive software tools/infrastructure required for new product development, validation, and productization.
Opportunity to work closely with architecture, hardware, software and product engineering teams through the product development sustaining lifecycle.
Be ready to be challenged to assess new hardware features and architect manufacturing diagnostic tests and complex process flows.
You'll cultivate a deep understanding of NVIDIA's hardware and software architecture and NVIDIA's manufacturing processes.
What we need to see:
Bachelors or Masters degree in electrical engineering and computer science or equivalent experience
5+ years of experience managing complex supply chain projects.
10+ overall years of experience managing outsourced manufacturing operations for complex server products at volume
Strong engineering and/or program/project management background
Track record of successfully leading complex projects with geographically diverse and large teams.
Proven self-initiative, interpersonal skills, and flexibility to adapt to new technology.
Strong problem solving and debugging expertise; track record of institutionalizing root-cause analysis and corrective actions.
Deep expertise in software and hardware interaction
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, best-in-class teams are rapidly growing. If you’re creative and autonomous with a real passion for your work, we want to hear from you!
The base salary range is 188,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
The DGX team at NVIDIA builds groundbreaking AI Solutions, Systems and cloud offerings, this role will be a key person in the technical team helping our customers make the most of their DGX solutions. This individual will work across the TME team to build compelling content that help customers use and optimize their DGX solutions.
What you’ll be doing:
As a Technical Marketing Engineering Content Creator, you will focus on accelerating the adoption of NVIDIA Enterprise technology by our customers.
This role will work with the other members of the technical marketing team, our ISV partners and our business leaders defining and creating a wide range of written deliverables and assets to showcase how NVIDIA Enterprise products improve and accelerate graphical and AI based workflows.
You should have backgrounds in graphics and AI related workloads, system architecture and ecosystem software and hardware to help bring together complex technical concepts in easy to demonstrate deployment guides, videos, and whitepapers.
Working with NVIDIA marketing, field partners and customers, you will define and create assets to best showcase our technologies to a broad range of customers and vertical segments. These assets will be used in settings such as industry trade shows, hands on labs and training, with the goal of building the right level of content for the audience we are serving.
Public speaking at industry events, internal and external trainings and webcasts will be a key part of the job.
Some travel is required to support events.
What we need to see:
Experience in technical applications and their respective workflows
Experience with git, including a basic level of comfort with the commandline interface
Hardware, and software solutions development background, and proven ability to work with complex solutions
Balance multiple projects and constituents and can prioritize under tight deadlines
Ability to delve into technical details of products and strong ability to defend opinions with both business and technical partners within the organization
Bachelors in computer science or engineering or equivalent experience
4+ years of experience
Ways to stand out from the crowd:
Do you exude high energy and a positive attitude?
Experience in AI/Deep Learning solutions
Experience with Slurm / Kubernetes
Background in Data science
Do you have published work you authored or created?
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are now looking for a highly motivated HPC Operations Manager to join this multifaceted and innovative infrastructure team to craft global and dynamic HPC clusters used by Nvidia’s hardware design teams. We are looking for leaders to help us grow and evolve a reliable computing environment to enable our hardware designers to build the next generation of GPUs and SOCs.
What You'll be Doing:
A huge part of the day-to-day job is collaborating with partners to develop programs driving around storage, networking, and compute in our growing fleet of data centers.
Lead, cultivate, and mentor a multi-national team of sysadmins and devops engineers, in support of the chip design teams
Ensure the highest reliability of HPC clusters. Develop critical metrics, program schedules to measure program health, predictability, and achievements
Identify failures, lead retrospective analysis, and help to develop improvement action plans. Build standard methodologies that cut through complexity and can be used across Nvidia and influence other partners for continuous improvement
Evaluate the latest technologies (hardware and cloud computing) and recommend future evolution of the infrastructure. Plan deployments and refresh of hardware (compute, storage, network equipment), and associated software stack (e.g. OS)
Work multi-functionally with hardware engineering leaders to support their future chip design needs, understand their workflow characteristics, and engineer an efficient HPC environment. Work with IT and engineering infrastructure teams on the different subsystems that comprise the computing environment.
Lead all aspects of the HPC scheduler (LSF), set/adjust policy, ensure delivery of forecasted compute demand to each hardware division, and drive high utilization.
Track software licensing servers and drive efficient license utilization
Develop and manage program schedules, milestones and deliverables. Adjust in the face of a highly fluid customer product roadmap.
Regularly communicate program status and key issues to senior management at NVIDIA’s headquarters. Accurately represent the importance of issues and call out issues appropriately. Be the evangelist of data driven project management
What We Need to See:
B.S. or M.S. in Computer Science, Computer Engineering, Information Science (or equivalent experience)
15+ years overall
5+ years managing IT infrastructure teams of 10+ people
10+ years experience running Linux servers, NFS storage, and Ethernet networks
Knowledge of HPC schedulers (IBM LSF preferred)
Knowledge of hardware design workflows (EDA tools and methodology)
Experience using project management and capacity planning software
Datacenter operations (rack and stack, maintenance)
Ways to stand out from the crowd:
HPC storage (e.g. Netapp, Pure Storage, Lustre, ZFS, Isilon)
Infiniband (operations, debugging, performance tuning)
Software development, especially in a devops context
Knowledge of relational databases, data lakes, metrics/visualization/analytics platforms
Deploying and maintaining FlexLM-based software license servers
Established relationships with enterprise-level equipment suppliers
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes.
Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision?
What you will be doing:
Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries.
This is a technical leadership role so you will participate in feature design and implementation.
Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap.
Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner.
What we need to see:
10+ overall years of experience in the software industry with specialization in HPC networking or system software.
4+ years of management experience.
BS, MS, or Ph.D. in CS, CE, EE (related technical field) or equivalent experience.
Prior systems software or communication runtime or high performance networking software development experience with a successful track record of taking several complex software features or products through the full product life cycle.
Strong understanding of computer system architecture, operating systems principles (aka systems software fundamentals), HW-SW interactions and performance analysis/optimizations.
Excellent C/C++ programming and debugging skills in Linux.
Experience balancing multiple projects with competing priorities.
Flexibility to work and communicate effectively across different teams and timezones.
Ways to stand out from the crowd:
Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). Experience with programming using CUDA, MPI, OpenMP, OpenACC, pthreads.
Background with RDMA, high-performance networking technologies (InfiniBand, RoCE, Ethernet, EFA), network architecture and network topologies. Knowledge of HPC and ML/DL fundamentals.
Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
We are seeking a talented SW Engineering Manager with strong leadership and mentoring skills to join our Deep Learning Compiler Team. We develop technologies to solve hard problems in compiling Deep Learning models for current and future generations of GPU. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and artificial intelligence. As deep learning models are becoming more versatile, using compiler technologies to achieve both high performance and high productive becomes essential. Join the team to build the software that will boost the entire deep learning community.
What you'll be doing:
Manage a team of experienced compiler engineers to analyze deep learning networks and develop compiler optimizations.
Establish team objectives to meet schedules and goals, establish and evolve policies and procedures that affect the immediate organization, communicate with senior management for team vision and development.
Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
What we need to see:
Bachelors, Masters or Ph.D. or equivalent in Computer Science, Computer Engineering, related field (or equivalent experience)
A software engineer with 9+ years of overall experience with at least 2+ of those years with hands on management
Strong software design fundamentals and a deep understanding of compilers and programming languages
Knowledge of software engineering principles
Ways to stand out from the crowd:
Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience
Experience with MLIR, XLA, MLIR, TVM, deep learning models and algorithms, and deep learning framework design.
Knowledge of compiler internals
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
The base salary range is 220,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
By submitting your resume, you’re expressing interest in one of our 2024 Hardware Engineering internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internships.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.
Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Hardware teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.
Potential Internships in this field included (but not limited to):
System Validation
These positions are responsible for system validation and post-production activities for NVIDIA datacenter server products, such as HGX baseboards, DGX Servers or DGX Workstations. You will need to maintain a close relationship with all members of the architecture, HW & SW design teams to guarantee they are prepared to rigorously test and debug all new features and changes made during the product development.
Hardware Design
Team is looking for talented Hardware Design Interns with strong backgrounds in electrical engineering, who have a curiosity about pursuing a career in the hardware product design industry. We are seeking people with passion for working with a close knit, multi-disciplinary team, who enjoy hands-on work with cutting edge visual computing platforms and devices. Primary responsibilities will include Hardware Testing, Debug and Validation of new NVIDIA products to ensure they meet performance, functional and quality objectives.
Mechanical Engineering
Help craft and test new products. You will be part of a diverse multi-functional team researching and developing new concepts and materials for our next generation of products. You must demonstrate excellent interpersonal skills and strong academic mechanical engineering background.
Silicon Solutions
Working the Silicon Solutions Engineering Team at NVIDIA, you will be responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.
What we need to see:
Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field
Depending on role, prior experience or knowledge requirements could include programming skills and technologies such as: Python, Java, Perl, Tcl, board-level design, datacenter systems, Linux, experience in lab environments & tools, CAD software/programming languages (i.e. Solidworks, ProE, Creo, Catia, Unigraphics, etc.), MATLAB, MOSFETs, etc
Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
By submitting your resume, you’re expressing interest in one of our 2024 NVIDIA Software Engineering internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internships.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.
Our internships offer an excellent opportunity to expand your career and get hands on with one of our industry leading Software teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.
Potential Internships in this field included (but not limited to):
Software Cloud
Understanding the overall architecture and design of our cloud storage infrastructure
Implementing, managing, and troubleshooting storage and data platform tools/technology, and automating storage infrastructure end-to-end
Software Tools Infrastructure
A software team that enables architects to build the next generation of amazing hardware, including GPU Development Tools, Chip Design, Validation, and Workflow Tools & Metrics, Process Management, and Compute Infrastructure teams
Data Science
Building GPU accelerated next generation AI Streaming platforms for Big Data and AI streaming workloads using parallel programming on GPUs leveraging CUDA
Web Development
Working on multiple web-based tools and applications, ensuring the framework/libraries are flexible and performs to meet all users’ requirements
What we need to see:
Currently pursuing a Bachelor's, Master's, or PhD degree within a relevant or related field
Depending on role, prior experience or knowledge requirements could include programming skills and technologies such as: C, C++, Python, Perl, Java, JavaScript, Unix/Shell Scripting, Graphics & GPGPU APIs (Vulkan, DirectX, OpenGL, CUDA, OpenCL), Data Processing Tools (ElasticSearch, Kibana, Grafana, MongoDB), OOP, GitLab, Linux, Go, SPARK, RAPIDS, REST API, CI/CD, Container Tools (Docker/Containers, Kubernetes), Infrastructure Platforms (AWS, Azure, GCP), Data Technologies (Kafka, ELK, Cassandra, Apache Spark), HTML, CSS, React, Angular, Kubernetes, and/or Ruby
Relevant academic of professional experience in Data Structures and Algorithms, Operating Systems, Distributed Systems, GPU Development, and/or Data Science
Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors.
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
Join the Enterprise AI & Automation team in NVIDIA IT to drive the development of outstanding AI-powered employee productivity solutions to improve employee experience, and business productivity. As part of this initiative, we are building generative AI-based conversational virtual assistants, copilots for enterprise applications, and other forward-looking solutions across IT and other business functions including sales, HR, and supply chain by using NVIDIA’s own technology stack. As the director of engineering you will lead the engineering team to build and deliver world-class AI-infused employee productivity tools. You will collaborate with product managers in shaping the vision, building the roadmaps, and delivering world-class products to improve the productivity of NVIDIA employees in various roles. We use NVIDIA’s own top-notch generative AI workflows, LLM models, speech recognition, avatars, and other technologies in our work. If you can envision the future of employee productivity powered by AI, join us, and make an inspiring impact!
What you will be doing:
Lead the engineering team to build world-class AI-driven employee productivity tools and automations by instituting software development discipline and agile software development methodologies.
Collaborate with product managers to shape the strategy and roadmaps. Lead the engineering team to perform requirements analysis, release iteration planning, Git/Jira issue management, CI/CD process development, software development effort estimation, performance analysis, testing, and delivering world-class scalable and reliable software.
Collaborate with other engineering leaders in the employee productivity organization to ensure that your team’s roadmaps align with the projects and technical advancements happening with the rest of the organization.
Build and grow a diverse and high performing team.
Leverage NVIDIA’s latest AI products and workflows including Large Language Models (LLMs), Retrieval augmented generation (RAG) technologies, GPU-optimized training and inference compute stack, Speech recognition, and other NVIDIA products and AI workflows in building enterprise solutions.
Collaborate with various partners in enterprise business functions in gathering requirements and in crafting and delivering generative AI-infused solutions for NVIDIA.
Drive user studies, product evaluations, and case studies and collaborate with product teams to provide valuable feedback and help improve the products.
Be a reference client for NVIDIA’s products in its own enterprise transformation.
What we need to see:
Bachelor’s degree in Computer Science (or equivalent experience). Preferably a graduate degree in Computer Science, or other related engineering fields.
10+ overall years of demonstrated experience in engineering leadership positions in building and shipping customer facing or employee facing products resulting in significant business impact.
4+ years of demonstrated hands-on engineering leadership in building AI-infused products involving Machine Learning, generative AI, traditional deep learning, and statistical machine learning techniques.
Deep expertise in computer science and an insatiable curiosity to keep learning. Ability to guide the team in making informed, well-analyzed, prudent, and practical technical decisions.
A proven track record of delivering complex, scalable, and reliable software by leading and mentoring talented cross-functional engineers.
Strong experience in building web applications and managing containerized application deployments which run in Public Clouds such as AWS.
An elevated sense of ownership and focus on driving business value. A leadership style focused on building relationships, establishing trust with diverse colleagues, executive stakeholders, and business partners.
Ability to prioritize multiple projects at once and thrive in a fast-paced environment.
Expertise in managing release workflows for large distributed applications.
Ways to stand out from the crowd:
Hands on prototyping skills in Python. Can build and deploy containerized software on Cloud.
Proven hands-on expertise and familiarity of working with LLMs, RAGs, open-source frameworks such as Lang Chain, and Langflow.
Excellent writing skills to write, and publish case studies, and papers.
Familiarity with NVIDIA’s products, GPU-optimized compute stack, familiarity with NVIDIA software strategy & products.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and enjoy learning while having fun, then what are you waiting for? Apply today!
The base salary range is 284,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
Join the NVIDIA Developer Tools team to drive the development of ground breaking AI-powered developer tools to foster the development of accelerated computing applications. As part of this initiative, we are building generative AI-based copilots and other AI-driven technologies dedicated to improve application developers' lives. From future looking IDE integration to enhancing our Nsight developer tools product portfolio, you will be charting new waters in software development. As the director of engineering you will lead the engineering team to build and deliver world-class AI-assisted developer activities - such as code generation, debugging, profiling, code refactoring, and more. You will collaborate with product managers in shaping the vision, researching leading AI technologies by collaborating with NVIDIA Research and internal teams, building the roadmaps, and delivering world-class products and solutions to improve the productivity of developers on NVIDIA platforms. We use NVIDIA’s own top-notch generative AI workflows, LLM models, and other technologies in our work to deliver end to end solutions - in the Cloud, on premise and local systems. If you can envision the future of accelerated computing applications development driven by AI, join us, and make a transformational impact in how software is written!
What you will be doing:
Lead the development of AI-assisted developer tools features and end to end solutions involving tight collaboration with Nsight product teams, NVIDIA research and other AI experts within the company.
Recruit a team to enable prototyping solutions and productizing within the Nsight developer tools suite
Expand the use of AI-assisted developer tools activities beyond code generation to unleash the power of AI to tackle difficult and time consuming tasks surrounding accelerating computing adoption and code maintenance.
Build and manage a multi-level software development team, ensuring high-quality output and adherence to project timelines.
Collaborate proactively with QA, UX/UI, product management and development, and upper management to ensure the product vision is realized.
Collaborate with various teams across geographies on implementation and problem solving.
Continuously explore emerging technologies and methodologies in software
Establish and grow a software team to develop key deep learning solutions.
What we need to see:
MS or PhD in Computer Science, Computer Engineering, or equivalent experience.
15+ years of relevant experience in software development, with 5+ years in a leadership role.
Knowledge of deep learning frameworks and libraries like PyTorch and TensorFlow.
Experience with GIT source control and Jira project management tools.
Strong programming skills in C++, and scripting language (Python) and Experience building tools on top of AWS and Azure backends.
Proven ability in managing local and remote teams with strong communication skills.
Proven track record of developing applications from initial vision to successful product release and maintenance.
Background in computer graphics, application development for desktop and cloud, and a passion for emerging technologies.
Experience in building and leading a multi-level software development team.
Demonstrated ability to work independently as a self-starter, tackling complex problems.
Ways to Stand Out from the Crowd
Experience in evaluating Large Language Models (LLMs), developing chatbots, applying machine learning concepts in desktop and web development.
Knowledge of GPU architecture, CUDA and GPU programming (compute and graphics shaders)
GPU performance analysis and profiling tools
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
NVIDIA's Cloud data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. At the heart of our data centers (DCs) is the ability to engineer mechanical and electrical designs in close coupling to NVIDIA's industry-leading GPU and DGX products! We are seeking a skilled and hardworking 3D CAD Intern with expertise in crafting detailed equipment and DC drawings and play a crucial role in the design and visualization of DC infrastructure, chipping in innovative solutions.
What you'll be doing:
Build a detailed 3D models of equipment and DCs layouts, ensuring accuracy and alignment to project specifications.
Generate comprehensive and precise 2D drawings from 3D models, including detailed schematics, layouts, and assembly drawings of DCs components.
Apply Geometric Dimensioning and Tolerancing (GD&T) principles to ensure the accurate representation of tolerances and dimensions in CAD models and drawings.
Incorporate Design for Manufacturability (DFM) principles in the CAD design process, optimizing designs for efficient and cost-effective manufacturing.
Contribute to the development of visually compelling presentations and renderings for DCs proposals, showcasing proposed layouts and equipment configurations.
Perform regular checks on CAD drawings to ensure accuracy, completeness, and compliance with industry standards.
What we need to see:
Currently pursuing a Bachelor's degree in Mechanical Engineering, Computer- Aided Design, or a related field
Strong expertise in Geometric Dimensioning and Tolerancing (GD & T)
Knowledge of Design for Manufacturability (DFM) principles and Operational
Experience in 3D CAD software such as Creo, Windchill, SolidWorks, and Fusion 360
Ability to work in a fast-paced environment and handle multiple tasks simultaneously
Ways to stand out from the crowd:
Familiarity with Data Center Safety Standards
Excellent communication and teamwork skills
Strong communication and partnership skills
Excellent problem-solving skills and attention to detail
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
NVIDIA's Cloud data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. At the heart of our data centers (DCs)is the ability to engineer mechanical and electrical designs in close coupling to NVIDIA's industry-leading GPU and DGX products. We are seeking a highly- motivated and diligent individual to join the team as a Data Center Cooling Distribution Units (CDUs) Intern. In this role, you will have the opportunity to work closely with our data center operations team, gaining hands-on experience with CDU test and qualifications, and the efficiency and reliability of DCs cooling systems.
What you'll be doing:
Conduct detailed analysis including Flow Network Model (FNM) and contribute to the selection and design of L2A, L2L, L2R CDUs.
Collaborate with cross-disciplinary and multi-functional teams to ensure detailed integration of CDUs into the overall data center infrastructure.
Participate in the development of innovative cooling solutions to address the evolving needs of data centers.
Participate in meetings to discuss ongoing projects and operational improvements.
Chip into the creation and refinement of data center reference design for reliable cooling solutions.
Stay on top of industry trends and standard processes to advise and improve design strategies.
What we need to see:
Pursuing a Master or Ph.D. degree in Mechanical Engineering with a strong thermal and optimization background
Strong understanding of thermal management principles and fluid dynamics
In-depth knowledge of sophisticated cooling solutions, energy-efficient
Understanding of industry standards and regulatory requirements for single and two phase CDUs
Ways to stand out from the crowd:
Hardware, and innovative data center designs
Excellent problem-solving skills and attention to details
Strong communication and partnership skills
Eagerness to learn and adapt to new technologies and concepts
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!a
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
NVIDIA's Cloud data centers host ground-breaking products across computing to machine learning applications for autonomous vehicles and healthcare. At the heart of our data centers (DCs) is the ability to engineer mechanical and electrical designs in close coupling to NVIDIA's industry-leading GPU and DGX products! We are seeking an Omniverse Intern passionate about DCs CFD plugin in Omniverse twins, which are virtual representations of physical DC infrastructure, providing real-time insights and predictive analytics to chip in the development of CFD-integrated DTs for Data Centers.
What you'll be doing:
Collaborate with the DCE team to build and improve digital twin models.
integrate data from various sources, such as IoT sensors, monitoring systems,
and network devices, into digital twin environment.
Assist real-time monitoring dashboards development and alerts within the digital twin to ensure accurate representation and analysis of data center conditions.
Simulate various scenarios and analyze the impact on DC operations, including capacity planning, energy efficiency optimization, and fault prediction.
Maintain comprehensive documentation of digital twin configurations, data sources, and simulation results for future reference and knowledge sharing.
Collaborate with cross-functional teams, including DCs operations, IT, and engineering, to bring together requirements and align digital twin development with operational needs.
Stay up to date with the latest trends in data center technologies, digital twins, and data analytics to bring innovative solutions to the project.
What we need to see:
Pursuing a master's or Ph.D. degree program in Computer Science, Mechanical engineering, data science, or a related field.
Experience of working with Cadence 6Sigma Software.
Strong programming skills, with experience in languages such as Python, Java, or C++.
Basic understanding of data center’s thermodynamics, CFD, infrastructure and operations.
Ways to stand out from the crowd:
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork skills.
Eagerness to learn and adapt to new technologies and concepts.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The hourly rate for our interns is 16 USD - 88 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Official account of Jobstore.
