Senior Developer Technology Engineer - AI

2100 NVIDIA USA; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Developer Technology Engineer, AI to research and develop techniques to accelerate AI workloads on advanced computer architectures.

You will collaborate with industry and academia to analyze and optimize AI/HPC algorithms for CPU and GPU architectures, publish findings, and influence hardware and software design across NVIDIA teams.

Qualifications

• Masters degree required or equivalent experience.
• 8+ years of relevant work experience or research.
• Fluent in C/C++ with strong algorithms knowledge.
• Background in parallel programming (CUDA, OpenACC, OpenMP, MPI, pthreads).
• Hands-on experience with low-level performance optimizations.
• Deep understanding of CPU and GPU architecture fundamentals.
• Good communication and organization skills.

Responsibilities

• Research and develop techniques to GPU accelerate workloads in deep learning, ML or other AI domains.
• Collaborate with industry and academia to analyze and optimize complex AI/HPC algorithms for CPU and GPU architectures.
• Publish and present optimization techniques in developer blogs or conferences.
• Influence design of next-generation hardware, software, and programming models with multiple NVIDIA teams.

Skills

C/C++

CUDA

OpenACC

OpenMP

MPI

Pthreads

Performance optimization

CPU/GPU architecture

Communication

Education

Master's degree in CS/CE or related

Job description

We’re currently seeking a Senior Developer Technology Engineer, Artificial Intelligence at NVIDIA to research and develop techniques 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 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

• 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).
• 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.

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 and benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000USD–287,500USD for Level4, and 224,000USD–356,500USD for Level5. You will also be eligible for equity and benefits.

Equal Employment Opportunity Statement

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. NVIDIA highly values diversity in our current and future employees and does not discriminate, including in 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.