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Structural Systems Design Engineer
Peterborough, ON
The Rolls-Royce Canada Limited team has an exciting opportunity as a Structural Systems Design Engineer (Finite Element Analysis Specialist). This is a new role will be based out of the Peterborough Ontario site and forms part of the core Engineering team. In this role, you shall perform and audit analysis on key structural components designed in house and COTS parts when required. You will provide guidance on the best practices and methods to use at our local facility, and when called upon at other Rolls-Royce facilities.
Dream Big & Make an Impact
As a Structural Systems Design Engineer, you will also be responsible to work with on site manufacturing engineering to support production queries where a higher level of problem complexity is encountered. This role will have some interactions with customers and vendors to resolve technical issues and direction, as well as providing information to support.
Innovation is our DNA at Rolls-Royce. At our Peterborough, Ontario location we develop custom electro-mechanical solutions for our Naval Defence and Marine customers.
Key Accountabilities:
Basic Requirements:
Preferred Requirements:
Join us and you’ll develop your skills and expertise to the very highest levels, working in an international environment for a company known the world over for brilliance and innovation.
We are an equal opportunities employer. We’re committed to developing a diverse workforce and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we’ll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realize their full potential. You can learn more about our global Diversity and Inclusion strategy here.
Closing date:
January 23rd 2024
Official account of Jobstore.
About Pierce, an Oshkosh company
At Pierce Manufacturing, we build trucks that protect people and communities around the world. To our team, there is no room for anything less than providing the absolute best. Since 1913, building truck bodies on Model T Ford chassis in an old converted church has evolved to creating highly customized, carefully designed and engineering pumpers, aerials, tankers and rescue units that have no equal. Today, you'll find more than 30,000 Pierce apparatuses on the road that are making a difference in people's lives, every day. To us, every step in the process of building our trucks is personal. From innovation and expertise, to the customization and service. Our trucks are designed to perform under the toughest conditions.
Summary of Job Description
The position, Computer/Pump/DOL Technician, is responsible for being a day-to-day liaison between the manufacturing floor personnel and Engineering. The position is responsible for designing new, modified, or improved vehicle components and subsystems to support the commercial and custom fire apparatus markets and will possess relevant experience with heavy truck, agriculture, automotive, or heavy construction product design. This position is also responsible for performing floor engineering which consists of the layout of special parts needed on the job.
Essential Functions
Minimum Qualifications
Preferred Qualifications to complete Essential Functions
Other Physical Requirements
*All positions require the ability to perform the essential functions of the position with or without reasonable accommodations. Detailed physical job analysis available upon request.
Work Environment
Working conditions will be inside and outside where temperatures will vary from extreme heat to extreme cold for extended periods of time. This position is regularly exposed to vibration and loud noises.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
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 for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!
What You’ll Be Doing:
A considerable part of the day-to-day job is staying up on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud that are built with the latest NVIDIA GPU supercomputers.
Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will assist them in building AI-accelerated data centers by leveraging GPU and DPU capabilities, ensuring optimal returns on their investment.
Lead and develop proof-of-concepts (PoCs) for solutions applied to enterprise and industrial applications such as LLM, RAG, recommender systems and image recognition using ML/DL frameworks.
Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers in building innovative NVIDIA technology solutions.
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.
What We Need To See:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
4+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments.
Deep understanding of dense data-center design including compute, storage, networking, cloud APIs and IaaS.
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.
Comfortable working in a customer-facing environment.
Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across teams.
Ways To Stand Out From The Crowd
External customer-facing skill-set and background.
Skilled in deploying ML/DL models at scale on cloud computing clusters in production.
Development experience with NVIDIA software libraries and GPUs or DPUs.
Knowledge of MLOps, DevOps and Cloud oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments etc.
Knowledge of MLPerf, LLM, RAG, AWS, Azure or GCP.
We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences. We are excited to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, and graphics.
The base salary range is 120,000 USD - 230,000 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.
NVIDIANs work, think and learn as a team and thrive in a very inspiring environment, and are motivated by a culture that demands innovation and the highest standards. Our employees are passionate about parallel and visual computing. Our technology impacts the visual experience in video game development, film production, space exploration, medicine, computational finance, and automotive design, and we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people to help us pursue some of these unusual opportunities. The rewards are sweet and include collaborating with some of the best minds in the industry, and the opportunity to work on products that transform the way people work and play.
As an API Architect, you will be designing & developing highly scalable APIs to support large data volumes from ERP, Salesforce, SaaS, varied data sources such as Data Lake, Databases, distributed systems, applications, cloud & SaaS to name a few. You will help architecting companywide API landscape, drive API adoption, lead from the front for API/Microservices-led development strategy, and build DevOps models for self-service API deployment. You use Agile methodologies to design and develop the back-end using our software stack to improve speed & agility among integrated application environments. If you have a passion for innovation and driving large scape APIs/integration/ handling large data sets, we are looking for you.
What you’ll be doing:
Develop roadmap & framework to bring APIs developed via tools, platforms, Gateways, and standalone APIs to Enterprise API HUB
Lead & collaborate with multi-functional teams to drive API strategy
Define the API's features, security setup, internal/external onboarding process, scalability, centralized governance, a reference architecture for the API led Integration pattern to bring standardization across the organization
The focus is to enable Self-Service across workstreams, bring Product mindset to provide services to customers where the end-to-end API framework is Service, think about re-usability, and how one is able to use the platform without any handholding. Build metrics, Key performance indicators for API use, and monetization
Experience with Hybrid multi-cloud (Mix of IaaS, PaaS, SaaS & on-prem) applications, build the framework to drive reusability using API.
Strong technical expertise for the creation of API guidelines - standard methodologies, authentication, authorization frameworks by adopting industry-standard methodologies.
Understand concepts of threat modeling, Containerization and Scalability
What we need to see:
Bachelor’s/Master’s degree in Computer Science or equivalent experience
10+ years of experience in end-to-end API lifecycle from design, development
Validated expertise across multiple API platforms, gateways, have established API strategy for large organizations, and have defined Unified API Strategy, bringing standardization and API governance
Lead API strategy/roadmap initiatives while aligning the strategy to the business objectives for API personas such as Developers, Partners, Customers, Business Users
Experience in building large scale Developer Portal and is the ability to drive the entire API development lifecycle from design & build to governance & management
Expertise in containerization, micro-services architecture & multi-cloud integration patterns
Expert level knowledge in MuleSoft, CPIS, SAP APIM to include API proxies, mashups, rate limiting, security, analytics, monetization and developer portals.
Experience with design, development, and deployment of SOA based architecture for a large organization demonstrating multiple COTS Business applications is preferred Experience with Tomcat, XML, JMS, XSLT, WS-*, SOA/Integration, and API Management technologies and standards Experience with using a JAVA IDE (Eclipse, Intelli J, Netbeans)
Experience with common web connectivity and integration standards/protocols such as XML, SOAP, REST, JSON and JDBC
Programming Languages: Node.js, Java, J2EE, EJB, JSP, XML, Java Mail, JNDI, SOA, servlet, Struts, J2EE pattern Proficient in writing multi-threaded processes using MuleSoft APIs, Mule batch jobs, and Mule flows with Anypoint Platform
Ways to stand out from the crowd:
Prior experience demonstrating knowledge of Integrating Business process in functional areas like Planning, Order-to-Cash, Operations, and Finance.
Have established API-HUB for large enterprise supporting product driven APIs framework
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 164,000 USD - 304,750 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.
Interested in developing innovative AI solutions with the world's top Retail, CPG, and QSR companies ?
At NVIDIA, our passion is working with the world's most challenging problems in Computer Vision, Accelerated Analytics and Visualization using our innovative platforms. We are looking for a Senior Solution Architect with experience in developing and performance-tuning workloads on Apache Spark Data Science platforms. We need a passionate, hard-working, and creative individual to help us pursue major opportunities in the Retail Industry. A Solution Architect brings focus and technical expertise about NVIDIA technological advances to our partners and customers.
What you’ll be doing:
You will be part of our North America Retail Solution Architecture Team working with key Fortune 100 customers to drive NVIDIA technology adoption and secure innovative design wins in both Data Center, Edge and Cloud Deployments.
Develop and demonstrate solutions to customers based on NVIDIA’s ground breaking Spark RAPIDS platform.
Perform in-depth analysis of customer SPARK workloads to ensure the optimized performance on GPU architectures.
Work closely with customers to build innovative blueprints for key Retail Industry use-cases such as forecasting, supply chain optimization, recommendation, and cybersecurity.
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers and growth of NVIDIA product features through customer feedback.
What we need to see:
BS in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
5+ years experience as a Data Scientist, Data Engineer, or Software Engineer with proven track record in writing code in Python
Ability to communicate your ideas/code clearly through GitHub, documentation, and presentations
Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team
Ways to stand out from the crowd:
External customer facing skill-set and background
Development experience with NVIDIA software platforms, libraries and GPUs
Experience working in commercial SPARK Platforms - Apache Spark, Databricks, Dataproc
Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc
We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work location. We look forward to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers.
The base salary range is 148,000 USD - 276,000 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 Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies. Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!
What You’ll Be Doing
A considerable part of the day-to-day job is staying up on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud that are built with the latest NVIDIA GPU supercomputers.
Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will assist them in building AI-accelerated data centers by leveraging GPU and DPU capabilities, ensuring optimal returns on their investment.
Lead and develop proof-of-concepts (PoCs) for solutions applied to enterprise and industrial applications such as LLM, RAG, recommender systems and image recognition using ML/DL frameworks.
Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers in building innovative NVIDIA technology solutions.
Partner with NVIDIA Engineering, Product, Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.
What We Need To See
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments,
Deep understanding of dense data-center design including compute, storage, networking, cloud APIs and IaaS.
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Clear written and oral communication skills with the ability to effectively collaborate and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.
Comfortable working in a customer-facing environment.
Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across teams.
Ways To Stand Out From The Crowd
External customer-facing skill-set and background.
Skilled in deploying ML/DL models at scale on cloud computing clusters in production.
Development experience with NVIDIA software libraries and GPUs or DPUs.
Knowledge of MLOps, DevOps and Cloud oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments etc.
Knowledge of MLPerf, LLM, RAG, AWS, Azure or GCP.
We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences. We are excited to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, and graphics.
The base salary range is 148,000 USD - 276,000 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.
Job Description:
Pacific Life is investing in bright, agile, and diverse new talent to contribute to our mission of innovating our business and creating a superior customer experience. We’re actively seeking a talented Enterprise Architect to join our Pacific Life Technology Architecture Team in Newport Beach, CA. This role can be hybrid or fully remote.
As a Division level Enterprise Architect (Division Architect), you’ll play a key role in Pacific Life’s growth and long-term success by focusing on the development and execution of the division’s business, value stream, and product strategy for the Consumer Markets Division, and architecture for the enterprise. You will fill a new role that closely collaborates with 20+ Architects embedded in Value Stream and product delivery teams within the Consumer Markets division. Your colleagues will include Enterprise Architects, Product Architects, Business Architects, Data Architects, Business Partners, Enterprise Strategy, Innovation Enablement, and fellow technology professionals. Pacific Life have adopted Agile as our predominant development methodology and our technology professionals are measured by delivery of business outcomes.
How you will make an impact:
Supports Formulation of Strategy and Guides Execution
Builds and Maintains Relationships
Orchestrates the Delivery of Business Outcomes
Facilitates and Enables Innovation
Plans and Manages the Value Stream and Platform Portfolios and Enabling Technology Ecosystem
Qualifications you bring:
What will make you stand out:
More reasons to join:
At Pacific Life, the work we do matters. We work passionately each day to drive our company forward while enjoying job security, flexible scheduling, and great opportunities for career growth.
If you’re seeking a thriving career doing the type of meaningful work that’s all too rare at a Fortune 500 Company, Pacific Life is the place for you. If you are a self-starter who appreciates creativity and individuality in your colleagues – even better. We look forward to receiving your application.
Want to learn more about life at Pacific Life? Take an inside look at our company culture: Instagram.com/lifeatpacificlife.
Base Pay Range:
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
$180,000.00 - $210,000.00
Base Pay Range:
The base pay range noted represents the company’s good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay.
Your Benefits Start Day 1
Your wellbeing is important to Pacific Life, and we’re committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we’ve got you covered.
Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
Paid Parental Leave as well as an Adoption Assistance Program
Competitive 401k savings plan with company match and an additional contribution regardless of participation
EEO Statement:
Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.
Official account of Jobstore.
We are now looking for a Logic Design Engineer with Physical Design background!
As a member of our CPU Logic Design Team, you will be responsible for the design of CPU on-chip interconnect network and last-level caches, working closely with the physical design team on implementation, synthesis and timing closure as well as working on micro-architectural definition and RTL coding/debug. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What you'll be doing:
As a member of our core CPU team, you'll be a liaison between Logic design and Physical design teams responsible for achieving timing, area, performance and power goals of the unit.
Help define the architecture for next-generation Nvidia coherent interconnects and system-level caches.
Collaborate with our verification team to verify the correctness of the design.
What we need to see:
Master’s Degree in Electrical Engineering, Computer Engineering or Computer Science or equivalent experience.
5+ years of experience in processor or other related high-performance semiconductor designs.
Physical design expertise including hands-on synthesis experience and in-depth knowledge of industry standard physical design tools is required.
A background in high-speed interconnect/cache physical design is preferred.
Verilog expertise is required as is a deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, global team.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you.
The base salary range is 164,000 USD - 304,750 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.
NVIDIA is seeking to hire a senior verification architect to design verification methodology for our next generation SOCs with AI capabilities for self-driving cars, high performance computing, gaming consoles & other automated machines (see NVIDIA Grace CPU and Arm Architecture | NVIDIA)
What you'll be doing:
Understand verification challenges with current and next generation SoCs.
Design and implement new verification methodology solutions, including TB architecture, test frameworks, VIPs and other verification related flows
Design and put in practice new verification processes and criteria for end-to-end verification.
Work with architects, RTL designers, FPGA, emulation engineers and testplan owners to understand the verification requirements and cater solutions to those.
What we need to see:
12+ years of experience in ASIC DV
5 years of experience in crafting verification methodology and architecture.
Exceptional ability to learn fast and identify new problems
Familiarity with verification challenges at all levels of verification
Strong analytical skills and problem solving skills
Deep understanding of verification concepts
Experience with SOCs containing CPUs or other embedded processors
Bachelors or Master Degree in EE, CS, CE or equivalent experience
Way to stand out from the crowd:
Ability to learn fast, identify forward looking challenges, propose solutions and work with larger team to implement those.
Ambitious and highly motivated to solve problems.
With competitive salaries and a generous benefits package, NVIDIA is one of the tech's most desirable employer where one can grow a long term and satisfying career. We have some of the most forward-thinking and hardworking employees in the world driving our unprecedented growth. Are you a creative and autonomous engineer with a real passion for improving design verification efficiency and pushing barriers? If so, we want to hear from you!
The base salary range is 196,000 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.
We are now looking for a Senior system and high-speed interconnect (HSIO) architect! NVIDIA is seeking outstanding system architects to design the next generation GPU system interface. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting the field of artificial intelligence and product lines ranging from consumer graphics to self-driving cars. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
What you’ll be doing:
As a member of the architecture team, you will be responsible for understanding how the HSIO sub-system modules interoperate and interact with overall system
You will architect and plan features in concert with software, hardware, and verification teams across the globe to implement the next iteration of GPUs
Create functional and performance models, often in python (or C++), along with test plans to validate the features you design
Actively support post-silicon validation activities
Constantly learning and growing!
What we need to see:
Proven ASIC microarchitecture expertise, ideally with ASIC design, verification, and bring-up experience. The ideal candidate will be skilled in modeling ASIC blocks for performance, power, and area optimization.
BS or MS in Compute Architecture, Computer Science, or Electrical Engineering (or related degree) or equivalent experience
Knowledge of Perl or Python
At least 5+ years of meaningful work experience
Course work or industry experience in Computer Architecture, Operation systems, and/or system architecture
Industry experience in high-speed interconnect protocols like PCIE (or similar)
Ways to stand out from the crowd:
Knowledge of memory isolation and security, firmware, process scheduling, OpenGL, DX, CUDA, DL/ML
Work experience coding in C or C++
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. Do you want to work at the boundary of software, hardware, and forefront of technology? Would you love the challenge of crafting the highest performance chips in the industry? If so, we want to hear from you.
The base salary range is 148,000 USD - 276,000 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 NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. NVIDIA is a leader in the AI Datacenter field, and we are constantly looking for ways to improve our GPU monitoring and management in the data center. In this position, you will be working with other world-class architects on modeling and validating chip architectures, microcontrollers, and server baseboard components. You will work with various software teams to help define and implement a simulation model that enable our data center software teams to left shift.
What you'll be doing:
Modeling of GPU and other baseboard components and features
Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models.
Familiarize with the different models functional and performance that are used at NVIDIA and help with feature implementation as required.
Develop tests, test plans, and testing infrastructure for new architectures/features.
Code coverage analysis and reporting
Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change.
Help develop AI based tools to increase efficiency.
What we need to see:
Bachelor’s degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering)
8+ years of meaningful work experience or MS with demonstrated ability or PhD with 2+ years of experience.
Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)
Computer Architecture background with experience in modeling with SystemC & TLM preferred.
Familiarity with Synopsys VDK, Docker, Jenkins, Python, Perl
Excellent communication and interpersonal skills and ability to work in a distributed team environment.
NVIDIA’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company” 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. Do you love the challenge of crafting the highest-performance silicon GPUs and SoCs possible? If so, we want to hear from you! Come, join our Architecture Simulation and Modelling team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
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.
NVIDIA is an innovative technology company dedicated to advancing camera technologies. We are at the forefront of AI and computer vision innovation, enhancing the quality of visual data for a wide range of applications including autonomous vehicles, robots, and smart cities. We are seeking creative, dedicated, and highly motivated individuals to join our team for a challenging, exciting, and rewarding experience. In this Senior ISP Architect role, you will have the opportunity to push the boundaries of camera imaging technologies for both human and machine vision systems. Join us to shape the next-generation camera imaging technology and enable a safe, smart, and fun future!
What you'll be doing:
Explore novel camera image pipeline algorithms and architectures for future ISP including deep learning methods to achieve unprecedented image quality (IQ)
Engage with new camera application areas to understand needs and constraints, and discover opportunities to innovate beyond the state of the art
Articulate problem statement on improvement areas by analyzing existing ISP technologies and facilitate development of effective solutions
Develop ISP architecture specifications, functional models, and tests by working closely with other IP architects, ASIC designers, and software teams
Represent new and existing NVIDIA ISP capabilities to internal groups, senior leaders, partners, and customers
What we need to see:
MS in Electrical Engineering, Computer Science, or a related field or equivalent experience
5+ years of meaningful experience; or equivalent qualification
Experience in developing camera imaging, machine vision, and deep learning algorithms and applications
Ability to understand system/product requirements and connect them to ISP requirements
Strong foundation in image quality assessment and algorithm complexity analysis
Proficiency in C/C++, MATLAB, Python, DL framework (TensorFlow, PyTorch, Keras)
Solid analytical and problem-solving skills, with the ability to work independently and as part of a team
Excellent communication skills for productive personal interactions as well as effective documentation and presentation
Ways to stand out from the crowd:
PhD in relevant field and ISP development experience for automotive and consumer cameras
Background in image science covering optics, image sensors, and color management
Solid understanding of HDR image sensor technologies and applications and Experience in embedded system architecture and development
Knowledge of industry standards and benchmarks for consumer, automotive, and medical imaging systems
Track record in building a culture of imaging excellence based on fundamentals and attention to detail through mentorship, teaching, and personal examples
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. Are you creative and collaborative? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, we want to hear from you!
The base salary range is 148,000 USD - 276,000 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 Senior Hardware SoC Architect! Do you want to be a part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects to define the next generation SoC? NVIDIA is seeking an exceptional SOC architect for our Tegra Architecture Team to help us build high-performance, power-efficient SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company developing state-of-the-art processor and system architectures that are at the forefront of accelerating machine learning, autonomous vehicles, high-performance computing and edge computing applications.
We have built a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. Our SoC architects excel at pushing the state of the art, while making the best engineering trade-offs.
What you’ll be doing:
Define future aspects of our architectures that bring together CPUs, NVIDIA GPUs, custom processors and accelerators into a single chip.
Hardware architecture end-to-end lifecycle ownership.
Drive Architecture/Software/Hardware co-design and collaboration on features set.
Cross-disciplinary role, coordinating with IP architects, designers, verification, Physical Design, Software, DFT, VLSI, Security, Automotive Safety and platform teams.
Capture requirements, create hardware specifications, conduct technical reviews, support customer documentation
Review upstream product requirements, downstream specifications and verification plans in ASIC, software and/or platform to ensure requirements are followed.
Create architectural validation plans and drive execution.
System C model development to validate architecture
Patenting novel parts of system architecture
Improving processes and methodologies that improve team productivity and quality of deliverables
What we need to see:
BS degree (or equivalent experience) in Computer or Electrical Engineering with at least 5 years of experience or MS degree in Computer or Electrical Engineering with at least 3 years of experience in architecture, design and/or verification experience
Strong knowledge and industry expertise in multiple aspects of SoC architecture definition such as Clocks, Resets, Power-Sequencing, Power Management, Interrupts, Interconnects, Boot, Virtualization, Security, System Performance, IO technologies, (PCIE, Camera Interfaces, etc), Platform integration.
Strong understanding of platform architecture considerations - power, reset, clock sequencing and I/O interfaces
Strong scripting skills in languages such as Perl or Python
Good understanding of ASIC design/verification/implementation flows
You are comfortable communicating and solving issues at all levels of architecture definition from micro-architecture to system level to software architecture.
Excellent written, verbal and negotiation skills, to work with others and build consensus
Amazing analytical and independent problem-solving skills
Ways to stand out from the crowd:
Architecture experience with platform power, reset, clock sequencing and I/O interfaces
System C or C++ development skills, or relevant programming experience
Proven record of implementing processes and methodologies
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, autonomous and love a challenge, we want to hear from you!
The base salary range is 148,000 USD - 276,000 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.
NVIDIA is seeking seasoned computer architects to help design processor and system architectures that will enable compelling Deep Learning performance, architecture and efficiency improvements. This role offers the opportunity to directly impact the future hardware roadmap in a fast-growing technology company that leads the AI revolution.
What you’ll be doing:
Understand, analyze, profile, and optimize deep learning training workloads on state-of-the-art hardware and software platforms.
Guide development of future generations of deep learning processors and computing platforms.
Develop detailed performance models and simulators for computing systems accelerating DL training.
Collaborate across the company to guide the direction of machine learning at NVIDIA; spanning teams from hardware to software and research to production.
Drive HW/SW co-design of NVIDIA’s full deep learning platform stack, from silicon to DL frameworks.
What we'd like to see:
PhD in CS, EE or CSEE and 8+ years; or MS (or equivalent experience) and 10+ years of relevant work experience.
Strong background in computer architecture, with a proven track record of delivering world-class high-performance processors.
Background in machine learning and neural networks, in particular training.
Experience analyzing and tuning application performance on state-of-the-art hardware.
Experience with processor and system-level performance modelling.
Programming skills in C++ and Python.
Familiarity with GPU computing (CUDA, OpenCL).
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. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you! Come, join our DL Architecture team and help build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field.
The base salary range is 220,000 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 looking for a Solutions Architect, Omniverse. If you are passionate about the Industrial Metaverse and how it can be applied to the real world, we should talk. We’re seeking a Software engineer to join our fast-growing Partners Enablement Solutions Architect team. NVIDIA is the world leader in simulation technologies, artificial intelligence, and accelerated computing. Developers like you will enable customers craft, build and deploy Enterprise Digital Twin Simulations at scale on the Omniverse and NVIDIA AI platforms.
Doing what's never been done before takes vision, innovation, and passion. At NVIDIA, you will join the world’s outstanding talent in a diverse, encouraging environment where everyone is impowered to be the very best. Come join us in making a lasting impact on the world.
What you will be doing:
Enable our service delivery partners ecosystem to build services for manufacturing workflows using Omniverse and Generative AI. You will collaborate and work closely with Solutions Architects, engineers, and product teams to translate requirements for an end-to-end workflow.
Support partners and customers in developing tools that allow common-place 3D CAD, simulation engines and asset database to be easily integrated and connected with Omniverse.
Provide technical guidance for partners to build USD data aggregation pipelines for automotive, manufacturing, retail, and other industries working with customers and partners to assess development processes, find opportunities for improvement, and share feedback with internal product development team.
Work with partners and customers to understand their technical needs and find enablement opportunities to expand adoption and utilization of Omniverse. This includes assessing 3D workloads, such as large-scale data aggregation and optimization and streaming, multi-user collaboration, product design and synthetic data generation and simulation.
You will detail and communicate standard processes, build repeatable reference architecture, and understand solution trade-offs.
What we need to see:
BS/MS/PhD in Computer Science, Physics, or other Engineering fields or equivalent experience.
5+ years of Solution Engineering experience.
Strong proficiency in either Python or C++, with experience in both languages.
Proven track record of developing enterprise software systems or engine features within 3D real-time interactive DCC tools (Unity, Unreal Engine, Maya) or CAD and BIM softwares (Revit, NX, Microstation etc.) or simulation and modeling applications (Discrete event simulation: Process Simulate, Plant Simulate, Visual Components, Isaac Sim, etc.).
DevOps and experience in developing software in hybrid cloud environments (Cloud, hybrid and on-prem).
The successful candidate is passionate about working with data manipulation and translation skills around 3D geometry, animation and materials into code.
Ways to stand out from the crowd:
Experience writing plug-ins for DCC tools and scripting knowledge in the 3D interactive domain, including understanding of Universal Scene Description, MDL (Material Definition Language), and physics.
Knowledge of NVIDIA Omniverse and AI platforms including Kit SDK, Isaac Sim, NeMo framework.
Domain expertise in either automotive, manufacturing engineering, robotics, or mechanical engineering industry workflows, including product data management (PDM) solutions.
Experience in customer facing role as well as ability to scope projects and estimate required effort to build end-to-end applications.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Official account of Jobstore.
