
Software Engineer, DL Libraries Infrastructure
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Santa Clara • California • Colorado • United States
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Salary
💰 $108,000 - $178,250 per year
About the role
- Designing and developing software for testing and analysis of our codebases
- Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries
- Developing throughout the software stack, from the user experience down to the cluster and database layers
- Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc)
- Advancing innovative in those industry-standard tools and upstreaming contributions to the open source community
Requirements
- Bachelors or Masters in Computer Science or Computer Engineering (or equivalent experience).
- Strong programming skills in Python (or similar) and familiarity with C/C++ development
- Experience setting up, maintaining, and automating continuous integration systems
- Proficiency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)
- A pragmatic approach to solving problems collaboratively with a passion for “it just works” automation to enable team members
- Experience designing and developing automation in Jenkins, Gitlab CI/CD, or Github Actions and background with distributed systems and cluster/cloud computing (e.g. Slurm, containers, Kubernetes, etc)
- Experience designing and developing unit and integration test frameworks with hands-on experience using code coverage and static code analysis tools
- Success leading a team of engineers and/or experience as an active contributor to a software project involving many developers
- Knowledge of GPU computing systems and experience with mobile/embedded platforms and multiple operating systems (Ubuntu, CentOS, Windows, L4T, or similar)
- Track record of identifying useful new technologies and incorporating them into SW development flows
Benefits
- equity
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Applicant Tracking System Keywords
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Hard Skills & Tools
PythonC/C++continuous integrationautomationunit testingintegration testingcode coveragestatic code analysisGPU computingcloud computing
Soft Skills
problem solvingcollaborationleadershipinnovationpassion for automation
Certifications
Bachelors in Computer ScienceMasters in Computer ScienceBachelors in Computer EngineeringMasters in Computer Engineering