Senior System Software Engineer @ NVIDIA | Jobright.ai
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NVIDIA · 7 hours ago

Senior System Software Engineer

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Artificial Intelligence (AI)GPU
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Dayna W.
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Responsibilities

Build infrastructure solutions from first principles needed to deliver Triton Inference Server
Apply software design skills to define the processes and best practices for performing continuous integration, testing, and releasing builds
Ensure the cross-platform compatibility of Triton Inference Server across a wide range of operating systems and architecture systems
Influence how we design our customer facing technology and tools to enable an optimized pipeline for building and deploying our product
Collaborate with cross-functional teams to integrate pipelines from deep learning frameworks and components

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.

Python programmingCI/CDBashDistributed systems programmingCloud platformsDockerKubernetesSoftware designDebuggingPerformance analysisTest designAgile team environmentOpen-source contribution

Required

Masters degree or equivalent experience
3+ years of experience in Computer Science, computer architecture, or related field
Ability to work in a fast-paced, agile team environment
Excellent Bash, CI/CD, Python programming and software design skills, including debugging, performance analysis, and test design.
Experience in administering, monitoring, and deploying systems and services on GitHub and cloud platforms. Support other technical teams in monitoring operating efficiencies of the platform, and responding as needs arise.
Knowledge of distributed systems programming.

Preferred

Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems experience.
Experience driving efficiencies in software architecture, creating metrics, implementing infrastructure as code and other automation improvements.
Background deploying cloud-native services using modern technologies such as Docker, and Kubernetes, optimizing software for scalable and efficient deployment in cloud environments.
Experience contributing to a large open-source deep learning community - use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.
Excellent problem solving abilities spanning multiple software (storage systems, kernels and containers) as well as collaborating within an agile team environment to prioritize deep learning-specific features and capabilities within Triton Inference Server, employing advanced troubleshooting and debugging techniques to resolve complex technical issues.

Benefits

Equity
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

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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