NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA’s Software Configuration Management (SCM) systems are at the core of NVIDIA’s rapidly growing AI, SW, and HW engineering and research teams who are building the future of computing. Our Infrastructure organization is seeking an experienced Engineering Manager to grow and lead a fast-paced team to define and deliver on a roadmap that enhances the customer experience for our large scale, globally distributed on-prem and cloud based SCM systems. In this position, you will collaborate with internal partners, senior management, security, IT, vendors, and CSP partners to deliver and deploy highly reliable and scalable solutions that dramatically boost the productivity and time to market for NVIDIA’s products and services.
What you'll be doing:
Collaborate with internal and external customers, partners, and leadership to define an “AI Ready” roadmap for SCM systems that enables our customers to increase product development efficiency.
Lead a team to develop, deploy, and operate infrastructure, tools, and services for our large and continuously growing SCM eco-system.
Foster a culture of operational excellence, encouraging teams to continuously strive to improve the customer experience and drive impactful results.
Regularly communicate program status. Accurately represent the importance of issues and call out issues appropriately. Be an enthusiast of data driven project management.
Lead, grow, and coach your team to develop technical expertise, support their advancement, and prepare them to excel in new challenges.
Work with customers, partners, and finance to forecast and manage the SCM budget, including deployments and refresh.
What we need to see:
B.S. or M.S. in Computer Science, Computer Engineering, or equivalent experience
8+ years overall relevant experience with 4+ years of leadership experience
Track record leading an infrastructure team to improve efficiency and reliability driven by critical metrics and customer focused KPIs.
Proficiency in project management including requirement gathering planning, scheduling, and staffing
Knowledge of SCM methodologies with experience in GIT and/or Perforce
Ability to evaluate modern hardware and software technologies, including AI assistants, to scale services and reduce operational overhead.
History of building automation to scale services and reduce operational overhead.
Outstanding problem-solving skills and the ability to work collaboratively with customers and across teams and organizations.
Strong SW engineering process skills including development, test, and deployment using infrastructure-as-code and CI/CD automation.
Ways to stand out from the crowd:
Experience developing and leading adoption of comprehensive Incident management processes, including customer communication.
Expert level expertise building and running large scale Perforce, Gerrit, GitLab, or GitHub infrastructure.
Understanding of hardware design workflows (EDA tools and methodology)
Accountable for forecasting and budgeting.
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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.”
