NVIDIA
Senior Software Engineer - Omniverse Developer Infrastructure
NVIDIA, New York, New York, us, 10261
At NVIDIA, we are known world-wide for our groundbreaking GPU technologies, and our portfolio continues to expand and innovate in the areas of AI, simulation, deep learning, and more. Our technology has been redefining the art of the possible in industries like gaming, automotive, and virtual reality. Now, our vision is to create a holistic platform for 3D and digital twin collaboration and innovation through our groundbreaking Omniverse platform. We are looking for talented and motivated Software Engineers to join our Omniverse platform infrastructure team. You will play a crucial role in ensuring the success of the revolutionary Omniverse platform by optimizing our development and release processes, creating world-class developer tools and maintaining a high standard of excellence in our build system, testing frameworks and release engineering tools and processes.
What You'll Be DoingDevelop, maintain, and improve CI/CD tools for on-prem and cloud deployment of our software, enable sophisticated cross-platform build systems, and bring world-class release engineering to NVIDIA's Omniverse platform and cloud deployment process.Collaborate with developers and product teams to improve build system tooling for Windows and Linux (both x86_64 and ARM).Analyze and optimize build and test performance for efficient resource utilization and accelerated development cycles.Implement automation and continuous improvement methodologies to identify bottlenecks and inefficiencies in existing workflows and allow developers to ship features faster.Ensure code quality by setting up and maintaining static and dynamic analysis tools.Contribute to the documentation of best practices, guidelines, and procedures related to CI/CD, performance, build systems, and release engineering, particularly where AI can be used to ease workloads.Stay up-to-date with industry trends and emerging technologies, and incorporate relevant innovations to improve processes and systems.What We Need To SeeBachelor's degree or higher in Computer Science, Software Engineering, or a related field or equivalent experience.8+ years of experience with large and complex software development environments. Experience with large code bases (300k+ LoC) is a plus.Knowledge of the C++ and/or Python programming language.Experience creating and maintaining distributed, scalable systems that are fault tolerant and reliable.Proficiency with popular CI/CD tools (e.g., Jenkins, GitLab CI, Travis CI, CircleCI), dependency managers (e.g., Conan, PyPi/pip, apt, yum), build systems (e.g., CMake, Bazel, Premake), and version control systems (e.g., Git, Perforce).Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure).Excellent problem-solving and debugging abilities (e.g., gdb, lldb, MSVC).Compiler experience using gcc, clang, and MSBuild.Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, cross-functional team.Ways To Stand Out From The CrowdExperience with GPU-accelerated applications or technologies.Knowledge of C++ and Python build and packaging systems.Proficiency in both Linux and Windows operating systems.The base salary range is 176,000 USD - 333,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What You'll Be DoingDevelop, maintain, and improve CI/CD tools for on-prem and cloud deployment of our software, enable sophisticated cross-platform build systems, and bring world-class release engineering to NVIDIA's Omniverse platform and cloud deployment process.Collaborate with developers and product teams to improve build system tooling for Windows and Linux (both x86_64 and ARM).Analyze and optimize build and test performance for efficient resource utilization and accelerated development cycles.Implement automation and continuous improvement methodologies to identify bottlenecks and inefficiencies in existing workflows and allow developers to ship features faster.Ensure code quality by setting up and maintaining static and dynamic analysis tools.Contribute to the documentation of best practices, guidelines, and procedures related to CI/CD, performance, build systems, and release engineering, particularly where AI can be used to ease workloads.Stay up-to-date with industry trends and emerging technologies, and incorporate relevant innovations to improve processes and systems.What We Need To SeeBachelor's degree or higher in Computer Science, Software Engineering, or a related field or equivalent experience.8+ years of experience with large and complex software development environments. Experience with large code bases (300k+ LoC) is a plus.Knowledge of the C++ and/or Python programming language.Experience creating and maintaining distributed, scalable systems that are fault tolerant and reliable.Proficiency with popular CI/CD tools (e.g., Jenkins, GitLab CI, Travis CI, CircleCI), dependency managers (e.g., Conan, PyPi/pip, apt, yum), build systems (e.g., CMake, Bazel, Premake), and version control systems (e.g., Git, Perforce).Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud platforms (e.g., AWS, GCP, Azure).Excellent problem-solving and debugging abilities (e.g., gdb, lldb, MSVC).Compiler experience using gcc, clang, and MSBuild.Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, cross-functional team.Ways To Stand Out From The CrowdExperience with GPU-accelerated applications or technologies.Knowledge of C++ and Python build and packaging systems.Proficiency in both Linux and Windows operating systems.The base salary range is 176,000 USD - 333,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.NVIDIA accepts applications on an ongoing basis.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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