We are seeking a highly skilled and experienced Senior DevOps Engineer to join our dynamic NVIDIA Robotics team. The ideal candidate will have a strong background in managing and optimizing software development and deployment processes, with expertise in Monorepo, Bazel, Git, Linux, Jenkins, Docker, Kubernetes, and Python. You will be working on many open-source and non-open-source applications and packages in the robotics field within a small but highly efficient team. This role will involve leading the DevOps efforts in one or many areas, collaborating with other teams, and ensuring the reliability, scalability, and efficiency of our software infrastructure and tools.
What you’ll be doing
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Automation and Scripting: Develop and maintain scripts for automation of various tasks, including build, deployment, and monitoring.
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Build and CI/CD Management: Set up and manage continuous integration and continuous deployment (CI/CD) pipelines using tools like Bazel and Git.
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Infrastructure Management: Lead all aspects of the deployment, management, and scaling of applications using Docker and Kubernetes.
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System Administration: Perform system administration tasks on Linux servers, ensuring high availability and performance.
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Collaboration and Mentorship: Work closely with software engineers and QA engineers to ensure smooth deployment and operation of software. Mentor junior team members and provide guidance on industry standards.
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Monitoring and Solving: Resolve issues in development and testing environments.
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Security and Compliance: Implement and maintain security standards and compliance requirements in the DevOps processes.
What we need to see
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Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
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Minimum of 5 years of experience in a DevOps role, with at least 3 years in a senior position.
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Proficiency in Python for scripting and automation.
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Experience with Bazel for build and CI/CD processes.
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Solid understanding of Git for version control and source code management.
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Expertise in Linux.
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Proficiency with Docker for containerization and in Kubernetes for orchestration and management of containerized applications.
Ways to stand out from the crowd:
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Experience with other programming languages such as C++.
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Familiarity with cloud platforms like AWS or Azure.
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Experience with monitoring tools like ELK, Prometheus, and Grafana.
The base salary range is 148,000 USD - 276,000 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
