Senior DevTech Engineer: GPU-Accelerated Performance

NVIDIA AI; Town of Santa Clara (NY); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA’s Developer Technology Engineering team seeks a Senior Developer Technology Engineer to accelerate CSP workloads on NVIDIA platforms. You will optimize complex workloads across CPUs, GPUs, and interconnects and collaborate with customers to achieve peak performance on current and next-generation hardware.

You will work with libraries, tools, system software architecture, hardware, and research teams to influence design of programming models and architectures.

Qualifications

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

Responsibilities

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

Skills

C/C++ programming

Parallel programming

CUDA C/C++

Low-level optimization

CPU/GPU architecture

Linear algebra

Communication skills

Education

Master's degree in CS/ CE or related

Job description

NVIDIA’s Developer Technology Engineering team seeks a Senior Developer Technology Engineer to accelerate CSP workloads on NVIDIA platforms. You will optimize complex workloads across CPUs, GPUs, and interconnects and collaborate with customers to achieve peak performance on current and next-generation hardware.

You will work with libraries, tools, system software architecture, hardware, and research teams to influence design of programming models and architectures.