Principal Developer Technology Engineer

About the Role

We’re currently seeking a Principal Developer Technology Engineer! Are you interested in developing techniques to accelerate large application workloads on advanced computer architectures? Do you find it rewarding to investigate, find, and eliminate system bottlenecks to achieve the best possible performance on state-of-the-art computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this opportunity.

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!

What You Will Be Doing

• 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

• Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
• You have 10+ 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.

Key skills/competency

• NVIDIA platform
• GPU acceleration
• C/C++ programming
• Parallel programming
• CUDA C/C++
• Performance optimization
• CPU architecture
• GPU architecture
• Linear algebra
• Algorithms