Senior Developer Technology Engineer

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits package

Hybrid work model

Job summary

NVIDIA Corporation in Santa Clara, California, is seeking a Senior Developer Technology Engineer to advance GPU-accelerated computing. You will research techniques to accelerate CSP workloads on NVIDIA's platform, work directly with key customers to optimize complex workloads, and collaborate across libraries, tools, and hardware teams to influence next-generation programming models and architectures.

The role emphasizes strong C/C++ and CUDA expertise, deep knowledge of parallel programming and

Qualifications

• Masters degree in Computer Science, Computer Engineering, or related field.
• 8+ years of relevant work experience or research.
• Proficiency in C/C++ with strong software design and algorithms.
• Background in parallel programming, ideally CUDA C/C++.
• Hands-on experience with low-level performance optimizations.
• In-depth CPU/GPU architecture fundamentals.
• Strong math skills including linear algebra.
• Good communication, organization and prioritization skills.

Responsibilities

• Research and develop techniques to accelerate CSP workloads on NVIDIA's platform, including CPUs, GPUs and interconnects.
• Analyze and optimize complex workloads with customers to ensure peak performance on current and next-generation hardware.
• Collaborate with libraries, tools, system software, architecture, hardware and research teams to influence next-generation programming models, software and architectures.

Skills

C/C++ programming

CUDA C/C++

Parallel programming

Performance optimization

CPU/GPU architecture

Mathematics

Communication skills

Education

Master's degree in Computer Science/Engineering or related field

Job description

We're currently seeking a Senior Developer Technology Engineer! NVIDIA's Developer Technology Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA's leadership. If you're passionate about optimizing large application workloads, eliminating system bottlenecks, and collaborating on cutting-edge technology breakthroughs, consider joining our team.

What you will be doing:

In this role, you will research and develop techniques to accelerate top CSP workloads on NVIDIA's computing platform including advanced CPUs, GPUs and interconnects. Work directly with key customers to perform in-depth analysis and optimization of complex workloads to ensure the best possible performance on current and next-generation hardware. Collaborate with libraries, tools, system software architecture, hardware, and research teams at NVIDIA to influence the design of next-generation programming models, software, and architectures.

What we need to see:

• A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• You have 8+ years of relevant work experience or research.
• Programming proficiency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
• A background that includes parallel programming, ideally CUDA C/C++.
• Hands on experience doing low-level performance optimizations.
• In-depth expertise with CPU and GPU architecture fundamentals.
• Strong math skills, including linear algebra, for problem-solving and performance modeling
• Good communication, organization and prioritization skills

Ways to stand out from the crowd:

• Designed highly optimal parallel algorithms and data structures for applications with high bytes to compute ratio, such as processing directly on compressed data and kernel fusion.
• You optimized end-to-end performance of applications spanning many layers of software, from OS to high-level frameworks.
• You influenced hardware feature design leveraging your application and domain knowledge.

The Developer Technology Engineer (DevTech) plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate performance of their applications, design parallel algorithms and implement optimizations in a GPU accelerated computing environment. As recognized experts in the field we publish our findings in developer blogs or at relevant conferences and workshops. With visibility to our customers, the industry, and academia we are important representatives of NVIDIA as a technology leader. Within NVIDIA we contribute valuable application expertise that influences next generation hardware and software products. As critical problem solvers, we deepen our expertise, expand our knowledge, and work across domains and organizations. Whether you are a leading industry luminary or early in your career, the Developer Technology Team provides ample opportunity for growth in the exciting field of GPU accelerated computing!

#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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 9, 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.