Senior AI DevTech Engineer — GPU-Accelerated GenAI

NVIDIA; Santa Clara (CA); On-site; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, California seeks a Senior AI Developer Technology Engineer to accelerate generative AI training and inference on NVIDIA hardware and software stacks, collaborating with developers worldwide. You will implement GPU-accelerated techniques for LLMs, diffusion, and multimodal models, optimizing training and inference and working with internal experts to push CPU/GPU performance.

This role emphasizes strong C/C++ skills, low-level optimization, and the ability to publish

Qualifications

• MS in Computer Science, Computer Engineering, or related field.
• 8+ years of software engineering and performance tuning experience.
• Proficient in C/C++ with strong algorithms skills.
• Background in accelerated computing, parallel programming, and optimization.
• Hands-on experience with low-level performance optimizations.
• Strong understanding of modern CPU and GPU architectures.
• Excellent communication and organizational skills.

Responsibilities

• Develop GPU-accelerated techniques for cutting-edge generative AI workloads.
• Optimize training and inference on NVIDIA platforms; contribute to frameworks and libraries.
• Collaborate with industry and academia to optimize AI algorithms on CPU/GPU architectures.
• Shape hardware/software design through collaboration with internal teams.
• Publish breakthroughs in developer blogs and present at conferences.

Skills

C/C++

Algorithms

Parallel programming

Performance tuning

CPU/GPU architectures

Communication

Education

MS in Computer Science/Engineering or related field

Job description

NVIDIA in Santa Clara, California seeks a Senior AI Developer Technology Engineer to accelerate generative AI training and inference on NVIDIA hardware and software stacks, collaborating with developers worldwide. You will implement GPU-accelerated techniques for LLMs, diffusion, and multimodal models, optimizing training and inference and working with internal experts to push CPU/GPU performance.

This role emphasizes strong C/C++ skills, low-level optimization, and the ability to publish