Senior Deep Learning Kernel Software Performance Architect

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA Deep Learning @ 7 GPU @ 4 HPC Machine Learning @ 7 Parallel Programming @ 4 Performance Analysis @ 4 Profiling @ 4 Python @ 6

Details

NVIDIA is seeking a Senior Kernel Performance Architect for Deep Learning Software to develop processor and system architectures that accelerate machine learning, data analytics, and high-performance computing applications.

Responsibilities

Craft GPU-accelerated system architectures that advance deep learning performance.
Prototype high-performance software for deep learning and data analytics workloads.
Analyze, visualize, and optimize software performance using analytical models, simulators, and test suites.
Collaborate with CUDA Compiler teams to identify performance issues.
Work with AI/ML training and inference performance teams to identify and optimize critical deep learning layers.
Collaborate with hardware architecture performance teams to define expectations for emerging deep learning hardware features.
Help build real-time, cost-effective AI computing platforms.

Requirements

Master's or PhD in Computer Science, Electrical Engineering, or Computer Engineering, or equivalent experience.
5+ years of relevant industry or research experience.
Strong foundation in machine learning and deep learning fundamentals, combined with expertise in computer architecture.
Strong background in high-performance kernels such as CUTLASS.
Experience with math library performance analysis and profiling to identify performance bottlenecks.
Fluency in Python, C, and C++.
Experience with GPU computing and parallel programming models.
Firsthand experience with analytical performance modeling, profiling, and analysis.

Compensation and Benefits

The base salary depends on location, experience, and the pay of employees in similar positions. The base salary range is USD 152,000–218,500 for Level 3 and USD 184,000–287,500 for Level 4. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until January 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.