Senior System Software Engineer, Computer Vision Performance @ NVIDIA | Jobright.ai
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NVIDIA · 1 day ago

Senior System Software Engineer, Computer Vision Performance

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

C++CUDAPythonMulti-threaded developmentDistributed software developmentPerformance metricsComputer visionHigh-performance computingMathematical fundamentalsMachine learningCollaboration skills

Required

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.

Preferred

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

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity· undefined

Leadership Team

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Jensen Huang
CEO and Founder
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Chris Malachowsky
Co-Founder, SVP
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Company data provided by crunchbase
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