Senior Systems Software Engineer – Datacenter Software and Firmware Release Lifecycle Management
NVIDIA’s invention of the GPU in 1999 fueled the growth of PC gaming, redefined modern computer graphics, and revolutionized parallel computing. GPU deep learning has since ignited a new chapter in computing, powering AI systems that can perceive and interpret the world. Today, NVIDIA is recognized as the AI computing company, and we’re continuing to expand our teams with outstanding talent.
NVIDIA DGX, HGX, and MGX servers' power the globe’s foremost enterprise AI infrastructure. In the role of a Senior System Software Engineer for Datacenter Software and Firmware Release Lifecycle Management, you will develop the infrastructure using CI/CD automation pipelines. These pipelines enable workflows for assembling, validating and delivering of NVIDIA’s firmware and software across all NVIDIA's GPU-based servers. You will partner closely with various Software and Firmware development, QA, and diagnostics teams to ensure reliable, efficient, and high-quality releases.
What you’ll be doing:
Collaborate with firmware, hardware, software, and QA teams to gather requirements and help deliver quality firmware and software release solutions.
Support the ingestion and packaging of software and firmware binaries to prepare them for deployment across various platforms
Build, develop and maintain tools and infrastructure for software and firmware release lifecycle.
Implement automation pipelines and assist with system tools like Jenkins, Docker, and Kubernetes. Pipelines should build, test and deploy software and firmware artifacts.
Documentation of release notes and effective communication to internal and external collaborators
Troubleshoot and debug software and firmware packaging and deployment processes.
Providing tested releases of software and firmware to partners.
Document processes and contribute to team discussions to improve firmware release workflows.
What we need to see:
BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience) with 5+ years of relevant software and firmware release management experience.
Strong programming skills in Python.
Hands-on experience using CI/CD tools like Jenkins, GitLab CI, or similar.
Familiarity with containerization and orchestration (Docker, Kubernetes).
Proven understanding of source control (Git) and agile development workflows
Passion for automation, scalable software, and continuous learning
Strong problem-solving skills and attention to software quality and maintainability.
Ways to stand out from the crowd:
Proven record of doing Software and Firmware Release engineering for multiple customers
Defect triaging and defect management experience of system software and firmware releases. Having released for x86_64 and arm64 architectures
Prior experience of having worked on Datacenter Products, good knowledge of system software and Linux environments. Knowledge of web and backend frameworks (React, Angular, Flask, Spring, or similar) and artifact management tools (JFrog, Nexus)
Join us and help shape the future of scalable release infrastructure at NVIDIA. NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Similar Jobs
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.”
