Lead System Software Engineer, Computer Vision Performance

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

NVIDIA is a world-leader in high speed computer vision, artificial intelligence, and deep learning. Our team builds and optimizes computer vision AI models, SDKs, and cloud services to bring real-time hardware-accelerated AI to data centers, gaming rigs, cars, robots, buildings, medical devices, and more. We are now looking for an expert in system-level software optimization to own the performance of our core computer vision SDKs and services. The right candidate will bring insight into challenges of delivering performance at scale and passion for multi-disciplinary teamwork and efficient, well-crafted software. In this role, you will profile, debug, and optimize data-center and edge computer vision workloads for efficiency, latency, and throughput. You will implement and improve computer vision and image processing algorithms using CUDA, establish and drive product-critical performance metrics, and influence software architecture and technical roadmaps to ensure outstanding performance. Additionally, you will contribute to large codebases combining custom C++ and Python with distributed architectures (microservices, Kubernetes, Triton) to deliver computer vision at scale. You will also provide technical leadership in high-performance computing to computer vision teams across NVIDIA.

Responsibilities

• Profile, debug, and optimize data-center and edge computer vision workloads for efficiency, latency, and throughput.
• Implement and improve computer vision and image processing algorithms using CUDA.
• Establish and drive product-critical performance metrics.
• Influence software architecture and technical roadmaps to ensure outstanding performance.
• Contribute to large codebases combining custom C++ and Python with distributed architectures (microservices, Kubernetes, Triton) to deliver computer vision at scale.
• Provide technical leadership in high-performance computing to computer vision teams across NVIDIA.

Requirements

• Master's of Science in Computer Science or Electrical Engineering (or equivalent experience).
• 10+ years practical experience.
• Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).
• Proven track record developing, testing and releasing production-grade, complex software.
• Proficiency with C++, CUDA, and Python.
• Strong fundamentals with multi-threaded and distributed software development.
• Experience with performance-critical data center applications.
• Proven track record defining and driving performance metrics to ensure product success and differentiation.
• Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.
• Strong collaboration skills to partner with algorithm designers, application developers, and infrastructure and MLOps teams.
• Ability and desire to learn new technologies.

Nice-to-haves

• Experience with classical and machine-learning based computer vision including ML-Ops.
• Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.
• History of creativity and innovation around performance in multiple problem domains.

Benefits

• Equity and benefits eligibility.