Job description

Today, NVIDIA is 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, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code. What you will be doing: • Study and develop state of the art techniques in deep learning, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures • Provide the best AI solutions using GPUs working directly with key customers • Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models What we need to see: • Pursuing or recently completed a MS or PhD in an engineering or Computer Science related discipline or equivalent experience • You'll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms • Experience with parallel programming, ideally CUDA C/C++ • Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills Ways to stand out from the crowd: • A background that includes low-level performance optimizations and computer architecture. • Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

Study and develop state of the art techniques in deep learning, machine learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
Provide the best AI solutions using GPUs working directly with key customers
Collaborate closely with the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models
Pursuing or recently completed a MS or PhD in an engineering or Computer Science related discipline or equivalent experience
You'll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms
Experience with parallel programming, ideally CUDA C/C++
Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills
A background that includes low-level performance optimizations and computer architecture.
Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: eightfold
Effort: medium

Benefits

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Vision