Senior DevTech Engineer: GPU Performance & Parallelization

NVIDIA

California (MO)

On-site

USD 184,000 - 357,000

Full time

14 days+

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Job summary

NVIDIA’s Developer Technology Engineering team seeks a Senior Developer Technology Engineer to advance performance for CSP workloads on NVIDIA hardware and partner with customers and internal teams to optimize complex workloads.

The role emphasizes researching acceleration techniques across CPUs/GPUs, collaborating across libraries, tools, and hardware groups to shape future programming models and architectures, and delivering high-impact optimizations.

Qualifications

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 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.

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.