Senior Developer Technology Engineer
Nvidia
About the role
About
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.
Responsibilities
- 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.
Requirements
- A Master’s degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
- 8+ years of relevant work experience or research.
- Programming proficiency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
- 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.
Preferred Qualifications (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.
- Optimized end‑to‑end performance of applications spanning many layers of software, from OS to high‑level frameworks.
- Influenced hardware feature design leveraging your application and domain knowledge.
Role Overview
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!
Compensation & Benefits
- Base salary range: $184,000 – $287,500 USD for Level 4, and $224,000 – $356,500 USD for Level 5 (determined by location, experience, and comparable employee pay).
- Eligibility for equity and benefits.
Application Details
- Applications will be accepted at least until March 20, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Equal Opportunity Statement
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and 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.
JR2014768
Requirements
- 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
Responsibilities
- 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.
Benefits
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free