Senior Developer Technology Engineer - AI

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity opportunities

Diverse work environment

Job summary

NVIDIA Gruppe is seeking a Senior Developer Technology Engineer in Santa Clara, California, to innovate AI workloads through GPU acceleration. This role involves deep research into optimizing algorithms for deep learning and enhancing CPU and GPU architecture designs.

Ideal candidates will possess a Master's degree in Computer Science and extensive experience in programming, especially C/C++. The position offers a competitive salary range between $184,000 and $356,500 depending on experience and level.

Qualifications

• 8+ years of relevant work experience or research.
• In-depth expertise with CPU and GPU architecture fundamentals.
• Good logical problem-solving and prioritization skills.

Responsibilities

• Research and develop GPU acceleration techniques for AI workloads.
• Optimize complex AI and HPC algorithms on CPU and GPU architectures.
• Publish and present optimization techniques to engage the developer community.
• Collaborate in designing next-generation hardware and software.

Skills

Programming fluency in C/C++

Parallel programming (e.g., CUDA, OpenACC, OpenMP)

Low-level performance optimizations

Understanding of algorithms and software development

Communication and organization skills

Education

Masters degree in Computer Science or related field

Job description

We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures?

What you will be doing:

• Research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.
• Work directly with other technical experts in industry and academia to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure the best possible AI solutions on modern CPU and GPU architectures.
• Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.
• Influence the design of next-generation hardware architectures, software and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.

What we need to see:

• A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• 8+ years of relevant work experience or research.
• Programming fluency in C/C++ with a deep understanding of algorithms and software development.
• Background that includes parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, etc.
• Hands‑on experience doing low‑level performance optimizations.
• In‑depth expertise with CPU and GPU architecture fundamentals.
• Good communication and organization skills, with a logical approach to problem solving and prioritization skills.

Ways to stand out from the crowd:

• Expertise in parallelization and performance optimization of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender Systems, etc.
• Excellent understanding of linear algebra.

Compensation & Benefits:Base salary range: Level4 – \$184,000–\$287,500; Level5 – \$224,000–\$356,500 (based on location, experience and market rates). Eligible for equity and additional benefits.

Applications for this job will be accepted until March21,2026.

NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate 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.