Software Engineer developing high - performance web applications and windows services in the HR solutions domain. Collaborating with tech teams and ensuring seamless integration into product offerings.
About the role
- Infrastructure Software Engineer developing and automating deep learning libraries for NVIDIA. Collaborating with diverse teams to enhance development velocity and deliver high-performance platforms.
Responsibilities
- 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, Github, Gitlab, Jira, etc)
- Advancing state of the art in those industry-standard tools
Requirements
- BS or equivalent experience or higher degree in Computer Science or Computer Engineering
- 2+ years of relevant experience
- Strong programming skills in Python (or similar) and familiarity with C/C++ development
- Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins)
- Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)
- A pragmatic approach to solving problems and collaboration
- Passion for "it just works" automation and enabling team members
- Experience designing and developing automation in Jenkins with Groovy (or similar)
- Background with distributed systems and cluster/cloud computing, especially with Kubernetes
- Experience designing and developing unit and integration test frameworks
- Hands-on experience with code coverage and static code analysis tools
- Experience with GPU, mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, L4T, or similar)
Job title
Job type
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Not specified
Degree requirement
Tech skills
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