AI Developer Technology Engineer

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 124,000 - 242,000; Full time

Job summary

NVIDIA Corporation seeks an AI Developer Technology Engineer to accelerate generative AI training and inference on NVIDIA platforms. You will partner with developers to optimize workloads for GPU efficiency and contribute to frameworks and libraries.

Role focuses on low-level optimizations, parallel programming, and collaboration with engineering teams to shape future hardware and software stacks. Strong background in CPU/GPU architectures is required.

Qualifications

• MS in Computer Science, Computer Engineering, or related field (or equivalent).
• 1+ years in software engineering and performance tuning.
• Fluency in C/C++ and algorithms knowledge.
• Background in accelerated computing and parallel programming.
• Experience with low-level performance optimizations.
• Understanding modern CPU/GPU architectures.
• Strong communication and organization skills.

Responsibilities

• Develop GPU-accelerated techniques for generative AI workloads.
• Work with developers to optimize training and inference on NVIDIA platform.
• Build and optimize algorithms for performance gains.
• Contribute to frameworks, libraries, and open-source projects.
• Collaborate with experts to analyze and optimize AI algorithms.

Skills

C/C++ programming

Parallel programming

Performance optimization

Low-level optimization

CPU/GPU architectures

Problem solving

Education

MS in CS/CE or related field

Equivalent experience

Tools

None specified

Job description

We are seeking an AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. Our team is the bridge connecting the NVIDIA platform with developers worldwide. We dive deep into customer projects to accelerate performance, eliminate bottlenecks, and partner with a vibrant developer community to deliver outstanding performance on NVIDIA systems. If you are passionate about accelerating the world's most advanced AI models and want your insights to directly influence the future of NVIDIA hardware and software stacks, we want you to be on our team.

What you will be doing:

Develop cutting-edge techniques to GPU-accelerate complex workloads across state-of-the-art generative AI (including LLMs, diffusion models, and multimodal systems), deep learning, and machine learning domains. Work directly with key developers to optimize and accelerate generative AI training and inference on NVIDIA platform. Build and optimize algorithms to deliver the best performance, and contribute to training and inference frameworks, low-level software libraries, and open-source projects. Partner directly with top technical experts in industry and academia to perform in-depth analysis and optimization of complex AI algorithms on modern CPU and GPU architectures. Shape the design of next-generation hardware, system software, libraries, and programming models through tight collaboration with NVIDIA’s internal engineering and research teams. Share your breakthrough optimization techniques by publishing in developer blogs and presenting at industry conferences.

What we need to see:

MS in Computer Science, Computer Engineering, or related computational field (or equivalent experience) 1+ years of relevant work or research experience in software engineering and performance tuning. Programming fluency in C/C++ with a deep understanding of algorithms and software development. A background in accelerated computing, with comprehensive knowledge of parallel programming, performance analysis and optimization. Hands on experience doing low-level performance optimizations. Foundational understanding of modern CPU and GPU architectures. Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

PhD in a relevant field. Experience with training and inference stacks, serving frameworks, pre-training and post-training pipelines. Strong foundation in linear algebra and numerical methods.

What's DevTech?

We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the cutting edge of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate findings that benefit the Developer Community and provides guidance to our engineering teams to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and our Developer Technology Engineering team has been steadily growing to meet the demands for our services. #LI-Hybrid

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 October 6, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.