Senior AI DevTech Engineer — GPU-Accelerated AI

NVIDIA; Westford (MA); On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA seeks a Senior AI Developer Technology Engineer to accelerate generative AI training and inference on NVIDIA platforms. You will work with developers to optimize workloads, contribute to frameworks and libraries, and collaborate with academia to push performance on CPU/GPU architectures.

You will influence hardware/software stacks, publish breakthroughs, and partner with internal teams to shape future NVIDIA systems. Competitive salary ranges apply.

Qualifications

• MS in Computer Science, Computer Engineering, or related field (or equivalent).
• 8+ years of relevant work or research experience in software engineering and performance tuning.
• Programming fluency in C/C++ with deep understanding of algorithms and software development.
• Background in accelerated computing, with 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 problem solving and prioritization.

Responsibilities

• Develop cutting-edge techniques to GPU-accelerate workloads across generative AI, DL, and ML.
• Work with key developers to optimize generative AI training and inference on NVIDIA platform and contribute to frameworks and libraries.
• Collaborate with industry and academia to analyze and optimize AI algorithms on CPU/GPU architectures.
• Shape design of future hardware, system software, libraries, and programming models with internal teams.
• Publish breakthroughs by blogs and presentations at conferences.

Skills

C/C++

Parallel programming

Performance optimization

CPU/GPU architectures

Communication

Education

MS in Computer Science, Computer Engineering, or related field

Job description

NVIDIA seeks a Senior AI Developer Technology Engineer to accelerate generative AI training and inference on NVIDIA platforms. You will work with developers to optimize workloads, contribute to frameworks and libraries, and collaborate with academia to push performance on CPU/GPU architectures.

You will influence hardware/software stacks, publish breakthroughs, and partner with internal teams to shape future NVIDIA systems. Competitive salary ranges apply.