Senior Developer Technology Engineer

NVIDIA•Us, CA

4d•Hybrid

About The Position

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. 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! NVIDIA is widely considered to be one of technology’s most desirable employers. We have a world class team with some of the most forward-thinking and hardworking people in the world working here. Does contributing to and pushing the boundaries of state-of-the-art in GPU Accelerated Computing, HPC and Artificial Intelligence excite you? If so, we want to hear from you!

Requirements

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

Nice To Haves

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.

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.