Total 63 software architect job vacancies in Education / Training category in Malaysia

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

• Develop and maintain web applications using Python, HTML, and ReactJS.
• Design and implement front-end interfaces using modern JavaScript frameworks.
• Collaborate with the design team to create user-friendly and visually appealing interfaces.
• Write clean, maintainable, and efficient code following best practices.
• Perform code reviews to ensure code quality and adherence to coding standards.
• Troubleshoot and debug issues across the entire stack.
• Optimize applications for maximum speed and scalability.
• Stay updated on emerging technologies and trends in web development.
• Work closely with cross-functional teams to gather requirements and translate them into technical solutions.
• Participate in sprint planning, daily stand-ups, and other agile ceremonies.

Qualifications

• Masters's degree in Computer Science, Engineering, or related field.
• Proven experience as a Full Stack Developer or similar role.
• Proficiency in Python, HTML, CSS, JavaScript, and ReactJS.
• Strong understanding of web development concepts such as RESTful APIs, MVC architecture, and responsive design.
• Experience with version control systems such as Git.
• Familiarity with database systems such as SQL and NoSQL.
• Excellent problem-solving and analytical skills.
• Ability to work independently and in a team environment.
• Strong communication and interpersonal skills.
• Attention to detail and a passion for writing clean, well-organized code.

Preferred Qualifications

• Experience with other front-end frameworks such as Angular or Vue.js.
• Knowledge of server-side technologiesP such as Flask or Django.
• Experience with cloud platforms such as AWS or Azure.
• Understanding of DevOps principles and CI/CD pipelines.
• Familiarity with Agile methodologies such as Scrum or Kanban.

Join us in building innovative and cutting-edge web applications that make a difference. If you're passionate about technology and enjoy working in a collaborative environment, we'd love to hear from you.

Apply now and take the next step in your career as a Full Stack Developer!

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Heat Resilience & Performance Centre (HRPC) is a first-of-its-kind research centre, established at the National University of Singapore (NUS), to spearhead and conduct research and development to address the challenges arising from climate change & extreme heat.

We are seeking a Software Research Engineer who will play a key role in assisting in the development, execution and maintenance of the centre’s data lake. The data lake will not only serve as HRPC’s central archive of research data and findings but play an important role in the centres knowledge generation and hypothesis testing journey. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include:

• Building and maintaining HRPC’s data lake, while implementing functionalities agreed on with HRPC’s Data Manager and researchers;
• Develop and implement best practices and processes for HRPC’s data infrastructure;
• If applicable, collaborate with and learn from other teams brought in to work on the data lake with a view towards building in-house expertise;
• Provide guidance and training to researchers on how to use the data lake.

As HRPC expands the successful candidate will take on more responsibilities and progress towards potentially leading a team responsible for our data engineering needs.

Qualifications

Qualifications and requirements of the role are as follows:

• Bachelor’s degree in Software Engineering, Information Systems, or related disciplines;
• Familiarity with web and database development with modern tech stacks and technologies;
• Team player with excellent communication and interpersonal skills;
• Ability to build a collaborative working relationship with people at all levels.

The role is based in Singapore.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Morgan Hunt are currently recruiting for a high regarded public sector organisation in Belfast who require a Research Software Engineer-Team Lead on a Full Time Contract available for 24 months

The chosen candidate will be responsible for the effective planning and day to day management of activities relating to the delivery of the High Performance Computing (HPC) and Research Data Storage (RDS) services.

Role Responsibilities

• Mange the technical development and maintenance of the HPC, RDS and related systems and services.
• Assist in the management of the NI-HPC RSE technical team.
• Manage the Kelvin2 and Tier2 services for researchers.
• Collaborate with eh Network, Security and Active Directory teams

Role Requirements

• Hold minimum of a degree or MSc (or equivalent qualification) in a Science or closely related relevant discipline (e.g. Engineering or Medicine)
• Experience in a large-scale computing environment.
• Experience working with one Linux.
• History of team management
• Knowledge of Big Data and/or A.I.
• Experience supporting HPC clusters (High Performance Computing)

Role Details

• 2-year fixed term
• Full Time
• Hybrid Working-must attend office 2 times a week.
• Belfast based.
• £46,000-£57,000 per annum
• Great pension and holidays

Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.

Job Description

Position: ICT Trainer

Location: Xinmin Primary School, 9 Hougang Ave 8, Singapore 538784

Contract Period: July 1, 2024, to June 30, 2025, with an option to extend for 10 months.

Hours of Deployment:

• Mondays to Fridays: 7:00am to 4:00pm (inclusive of 1-hour lunch break)
• No service required on Saturdays, Sundays, gazetted public holidays, and June and December school holidays.
• Service not required and not paid during June and December school holidays.

Scope of Services:

1. Conducting ICT Lessons: Conduct ICT lessons for Primary 1 to Primary 6 students, ensuring lesson objectives are met. Adapt and teach new or unfamiliar tools/software.
2. Planning ICT Lessons: Work with SH (ICT) to gather school's ICT needs, propose beneficial lessons, and draft Scheme of Work. Prepare detailed lesson plans.
3. Upkeep of Computer Labs: Ensure cleanliness and tidiness of computer labs, maintain order before, during, and after lessons, and decorate walls with relevant materials.
4. Ad-hoc Lessons on Coding/Robotics Programme: Conduct lessons on Scratch or Micro:bit programming as required.
5. Maintaining Records of ICT Assets: Assist ICT Manager in designing inventory management system using Excel VBA. Conduct stocktake and maintain records.
6. Working with Other ICT Staff: Collaborate with Desktop Engineer, ICT Manager, and teaching staff.

Other Tasks:

• Assist teachers in administrative ICT tasks, including online surveys.
• Design posters and banners for school events.
• Record and edit photos and videos.
• Assist in administrative tasks during school and national E-Oral examinations.
• Set up PA system during school assemblies.
• Take photographs during school events.

Qualification, Skills & Experience:

• Certifications in Google G Suite/Workspace Training, fundamental Python programming, basic Micro:bit Training, and Photoshop/Digital Media skills.
• At least 3 years of experience as an ICT Trainer in an MOE school.
• Proficiency in Apple presentation apps (Clips, Keynote, iMovie), Microsoft Office tools, and Google Suite for Education.
• Proficiency in video/photo editing using Photoshop and PremierPro, multimedia/graphic design, Scratch programming, and Micro:bit usage.
• Experience in handling school AV equipment and Apple Device Management System.

Job Title

Education Architect

Job Description

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates.  Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer/Disabled/Veteran and maintains a drug-free workplace.

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.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.

#deeplearning

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.

What You'll Be Doing:

• The software architecture group at NVIDIA has openings for Deep Learning Architect. We scale the DNN models and frameworks to the systems with hundreds of thousands of nodes. 

• This position involves tracking advancements in deep learning frameworks, models, and the latest deep learning research, both internally and externally. You will then translate these findings into scaling and networking requirements.

• Collaborate across NVIDIA to provide guidance on scaling deep learning frameworks and models, working with teams spanning from hardware to software, and research to production.

• Understand, analyze, profile, and optimize deep learning training workloads using new hardware and software platforms.

• Scale deep learning training workloads on systems equipped with deep learning accelerators, InfiniBand, and ROCE networks.

• Provide guidance for the development of future generations of deep learning processors and network hardware.

What We Need to See:

• A Ph.D., Masters, or BS in Computer Science (CS), Electrical Engineering (EE), Computer Science and Electrical Engineering (CSEE), or closely related field or equivalent experience.

• 5+ years of experience in DNNs, Scaling of DNNs, Parallelism of DNN frameworks, or deep learning training workloads.

• Background in machine learning and neural networks, particularly in the area of training.

• Experience in analyzing and optimizing application performance on cutting-edge hardware.

• Deep understanding of parallelism techniques including Data Parallelism, Pipeline Parallelism, Tensor Parallelism, and FSDP.

• Proficiency in developing code for one or more deep neural network (DNN) training frameworks, such as Caffe, TensorFlow, or Torch.

• Strong programming skills in C++ and Python.

• Familiarity with GPU computing, including CUDA and OpenCL and familiarity with InfiniBand and RoCE networks.

Ways to Stand Out from the Crowd:

• Prior contributions to one or more DNN training frameworks as part of your previous work experience.

• Deep understanding and contributions to the scaling of Large-Scale Language Models.

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. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you!

The base salary range is 148,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.

NVIDIA is seeking outstanding AI Solution Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solution architects work across many teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Deep Learning (DL) and Generative AI (GenAI). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with GenAI, DL and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

What You Will Be Doing

• Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions

• Dynamically engaging with developers, scientific researchers, data scientists, which will give you experience across a range of technical areas

• Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform

• Analyze performance and power efficiency of deep learning inference workloads

• Some travel to conferences and customers may be required

What We Need To See

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

• 5+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow

• Strong fundamentals in programming, optimizations and software design, especially in Python

• Excellent knowledge of theory and practice of DL and GenAI inference

• Excellent presentation, communication and collaboration skills

• Desire to be involved in multiple diverse and creative projects

Ways To Stand Out From The Crowd

• Prior experience with DL training at scale, deploying or optimizing DL inference in production

• Experience with NVIDIA GPUs and software libraries, such as NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM

• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

• Familiarity with parallel programming and distributed computing platforms

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services 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.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.

We are now looking for a Deep Learning Performance Architect!

NVIDIA is seeking outstanding Performance Analysis Architects with a background in performance modeling, architecture simulation, and profiling to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

What you’ll be doing:

• Develop innovative architectures to extend the state of the art in deep learning performance and efficiency

• Prototype key deep learning and data analytics algorithms and applications

• Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites

• Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications

• Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

What we need to see:

• A Masters Degree or PhD in Computer Science, Electrical Engineering, Computer Engineering or related relevant field (or equivalent experience)

• 5+ years of relevant work experience in computer architecture

• Strong foundation in machine learning and deep learning

• Strong programming skills in Python, C, C++

• Experience with performance modeling, architecture simulation, profiling, and analysis

Ways to stand out from the crowd:

• Background with GPU Computing and parallel programming models such as CUDA and OpenCL

• Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT)

• Experience with the architecture of or workload analysis on other DL accelerators

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU-accelerated Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, and widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Are you a creative, motivated deep learning architect with a passion for performance and always up for a challenge? If so, we want to hear from you! Come, join our Deep Learning Architecture team, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly growing field.

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.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.

NVIDIA is seeking extraordinary architects to develop processor and system architectures that accelerate machine learning, data analytics and high-performance computing applications. This position offers the chance to create a meaningful impact in a dynamic, technology-focused company.

What you will be doing:

• As a member of our deep learning architecture team, you will craft system and processor architectures to extend the state of the art in deep learning efficiency and performance that are energy efficient.

• Prototype key deep learning and data analytics algorithms and applications.

• Analyze trade-offs in performance, cost and power developing analytical models, simulators and test suites.

• Analyze architecture performance and energy efficiency considering deep learning workloads, modeling and explore efficient architectures.

• Collaborate across the company to guide the direction of machine learning, working with software, research and product teams.

What we need to see:

• Master's Degree, PhD (or equivalent experience) in Computer Science, Electrical Engineering or Computer Engineering.

• 6+ years of relevant work or research experience.

• A strong foundation in machine learning and deep learning fundamentals to complement your expertise in computer architecture.

• A strong background in high performance power efficient designs, energy efficient high performance computing, performance analysis and profiling to identify performance bottlenecks.

• Fluency in programming languages such as Python, C, C++.

• Experience and familiarity with GPU computing and parallel programming models.

• You have firsthand work experience with analytical performance modeling, profiling, and analysis.

The GPU started out as the engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA’s GPU runs deep learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and artificial intelligence come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for deep learning, and NVIDIA is 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. Are you creative and seeking new challenges? 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 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.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.

We are now seeking a Senior Deep Learning Performance Architect!

NVIDIA is looking for outstanding Performance Analysis Architects with a background in performance modeling, deep learning, architecture simulation, profiling, and analysis to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

What you’ll be doing:

• Develop innovative architectures to extend the state of the art in deep learning performance and efficiency

• Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites

• Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications

• Develop, analyze, and harness groundbreaking Deep Learning frameworks, libraries, and compilers

• Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

What we need to see:

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience

• 6+ years of meaningful work experience

• Strong background in GPU or Deep Learning ASIC architecture for training and/or inference

• Experience with performance modeling, architecture simulation, profiling, and analysis

• Solid foundation in machine learning and deep learning

• Strong programming skills in Python, C, C++

Ways to stand out from the crowd:

• Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, Tensorflow, TensorRT)

• Experience with relevant libraries, compilers, and languages - CUDNN, CUBLAS, CUTLASS, MLIR, Triton, CUDA, OpenCL

• Experience with the architecture of or workload analysis on other DL accelerators

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots and self-driving cars that can perceive and understand the world. Increasingly known as “the AI computing company”, NVIDIA wants you! Come, join our Deep Learning Architecture team, where you can help build real-time, efficient computing platforms driving our success in this exciting and rapidly 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.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.

At NVIDIA Lightspeed Studios we are passionate about pushing the boundaries of technology and are seeking a skilled Deep Learning Software Engineer to join our team. If you're enthusiastic about deep learning research in the area of real-time perception and gameplay control logic, content generation for games (2D/3D), animation, large or small language models, and have the technical background to apply deep learning solutions to real world problems, we want to hear from you!

Recent projects from our team:

• RTX Remix: https://www.nvidia.com/en-us/geforce/rtx-remix/

• RacerX: https://blogs.nvidia.com/blog/2022/09/29/racer-rtx-demo/

• Avatar Cloud Engine for Games: https://www.nvidia.com/en-us/geforce/news/nvidia-ace-for-games-generative-ai-npcs/

What you'll be doing:

• Keep up to date with the latest AI research in the area of real-time inference, generative content, animation and language models.

• Apply existing research to real world problems in game development.

• Collaborate with applied research teams to bring the latest AI technology to real products.

• Play a pivotal role in steering applied research efforts to unlock innovative solutions and push the boundaries of what's possible in game development.

• Use version control systems like Git, participate in code reviews, and support continuous integration processes and testing.

• Collaborate on Linux or Windows environments.

What we need to see:

• Strong experience with deep learning tools and APIs (PyTorch, CuDNN, TensorRT).

• BS level education or equivalent experience in Computer Science or related field

• 4+ years of relevant work experience.

• Strong proficiency in Python, Rust or C++, with a deep understanding of software design patterns and architecture.

• Experience in optimizing neural networks for execution on CPU or GPU.

• Experience developing modularized applications.

• Proficiency in live debugging and performance profiling.

• Background with 2D/3D content pipelines for games.

• Understanding of large language models.

• Knowledge of game engine development is preferred.

• Prior exposure to any/all of the following: Unreal Engine 5, Unity Engine, Pixar’s OpenUSD and APIs or Digital Content Creation software.

With highly competitive salaries and a comprehensive benefits package, 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 on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, 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.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.

We are looking for a Software Test Development Architect in NVIDIA’s Deep Learning SWQA team.

The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops test strategies to improve quality of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This position collaborates with multiple AI product teams to develop new products; identify test gaps in test plans, improve test coverage, and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness, and teamwork. You should constantly develop and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world!

What you’ll be doing:

• Work closely with DL engineering teams to develop a keen understanding of DL QA goals, test strategies, and technical needs.

• Collaborate with diverse inter-groups, including DL Researchers, Product, and engineering teams to identify gaps, and improve processing.

• Lead bug lifecycle and co-work with QA test developers to analyze customer bugs and user scenarios to improve test coverages.

What we need to see:

• MS/PhD (PhD preferred) in CS, EE, Math or closely related fields or equivalent experience.

• 10+ years of software development experience in DL/ML, DL Framework (Especially JAX and PyTorch), Neural Networks, DL Service deployment, user scenario analysis and SDKs.

• Able to design test strategies for diverse DL products to optimize test plans and identify the most essential and risky use cases.

• Excellent C/C++, Python programming skills; Strong written and oral communications skills in English.

Ways to stand out from the crowd:

• Be familiar with deep neural network training, inference, optimization in typical Frameworks.

• Experience software development with popular AI models (e.g., LLM models)

• Background with GPU computing and parallel programming such as CUDA/OpenCL.

The base salary range is 200,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.

Job Description: ICT Trainer

Position: ICT Trainer
Location: Xinghua Primary School, 45 Hougang Avenue 1, Singapore 538882

Contract Period: 1 Jun 2024 to 31 Dec 2024 (with an option to extend from 1 Jan 2025 to 31 Dec 2025)
Working Hours:

• Mondays to Thursdays: 7:30am to 5:00pm (inclusive of 1hr lunch break)
• Fridays: 7:30am to 4:30pm (inclusive of 1hr lunch break)
• Service not required on Saturdays, Sundays, and gazetted public holidays

Objective:
The ICT Trainer will be responsible for supporting the ICT operations of Xinghua Primary School by deploying competent personnel. The Trainer will assist in various ICT-related tasks including project assistance, administrative support, teaching and learning integration, resource management, and training.

Scope of Services:

1. Planning:Assist in school-initiated projects and provide project updates.
   Aid in the implementation of ICT programs, ensuring adherence to MOE policies.
   Support ICT inventory and asset management.
   Coordinate tasks with other ICT Support Personnel.
   Plan structured ICT training programs for staff and students.
   Set up monitoring processes for ICT-related activities.
   
2. Administrative:Design and maintain the school website.
   Create posters and collaterals for events.
   Handle photography and videography needs.
   Compile students’ ICT works for showcase and archival.
   Conduct online surveys to evaluate ICT courses.
   Assist in physical setup of e-Oral and e Listening Comprehension exams.
   
3. Support in Teaching and Learning:Integrate ICT tools in teaching and learning.
   Promote an e-learning ICT culture.
   Implement e-learning activities.
   
4. Management of Resources:Manage school ICT resources including equipment replacement and loaning.
   Optimize Learning Management System (LMS) tools and resources.
   
5. Training:Conduct baseline ICT training for students.
   Familiarize students with ICT tools and e-learning platforms.
   Assist in training teachers on ICT and AV equipment usage.
   Review and improve training programs.
   Conduct CCA training as needed.
   Prepare students for ICT-related competitions.
   

Qualifications & Experience:

• Minimum diploma in multimedia, design, computer studies, or related field.
• At least 12 months of relevant work experience, preferably in a school environment.
• Fluent in English.
• Proficient in Microsoft 365 Suite, Google Office Suite, Adobe Media editing software, Apple Media editing software, and Design Media Software.
• Candidates must provide samples/demo of previous media work.

We are now looking for a Senior Deep Learning Software Engineer!

At NVIDIA, we are pushing the boundaries of what is possible in AI. To advance the future of NVIDIA's hardware and software, we are seeking a talented Software Engineer who will deliver innovative quantization and sparsity algorithms into our flagship products. In this role, you will rigorously explore, implement, and evaluate new concepts, bridging the realms of hardware and software while setting new benchmarks in AI acceleration. Your work will play a crucial role in influencing our flagship GPU and software roadmaps, enabling major customer wins, and advancing our mission to fulfill the promise and future of AI.

What You'll Be Doing:

• Implementing, optimizing, and benchmarking state-of-the-art sparsity and quantization algorithms on real-world AI models running on ground breaking hardware.

• Collaborate closely with hardware, software, and research teams to assess and adopt deep learning algorithmic advancements in sparsity and quantization

• Provide engineering support to customers using innovative HW and SW approaches

• Work closely with production teams to develop and integrate the latest deep learning approaches into state-of-the-art libraries and frameworks

What We Need to See:

• A minimum of a Master's degree in Computer Science, Artificial Intelligence, Applied Math or a related field, or equivalent experience

• 5+ years of relevant software development experience

• A strong foundation in deep learning, specifically in quantization, numerics, and sparsity

• Strong proficiency with modern frameworks such as PyTorch and TensorFlow

• Familiarity with computer architecture and how it relates to AI algorithms development

• Previous experience working directly with AI hardware and software development teams.

Ways to Stand Out From the Crowd:

• Background with benchmarking accuracy and performance of AI models 

• Experience with CUDA programming and GPU performance optimizations

• Published research or significant contributions to the field of AI, particularly in algorithm development for hardware-software co-design.

As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. We collaborate with a broad cross section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams. As our team grows, and as we seek to identify and take advantage of long term opportunities, our skill-set needs are expanding as well.

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.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.