We are seeking an experienced manager of Software Engineers to develop automation running reliable AI infrastructure services at scale; both close to the bare metal and over VMaaS. In this organization, you will develop one or more teams to ensure that our internal and external facing cloud services atop of our hardware for accelerated computing are running as reliably as needed.What you’ll be doing:<ul><li>Recruit and retain talent managing career development for your organization.</li><li>Accountable for deliverables of team(s) in scope.</li><li>Be accountable for cross team and cross company communications.</li><li>Participate in KPI-driven strategic planning.</li><li>Foster a collaborative environment.</li></ul>What we need to see:<ul><li>7+ overall years of experience</li><li>BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.</li><li>3+ years of management experience with prior hands-on experience as an individual contributor.</li><li>A proven track record of impactful project deliveries while managing Software Engineers focused on cloud infrastructure or cloud application services.</li><li>Experience with DevOps and/or SRE practices and/or Platform Engineering.</li><li>Systematic problem-solving approach, coupled with strong communications skills and a sense of ownership and drive.</li></ul>Ways to stand out from the crowd:<ul><li>Developing ML/AI infrastructure. Developing bare metal as a service (BMaaS) associated systems. Developing multi-cloud infrastructure services.</li><li>Teaching reliability (e.g. SRE) or more general cloud systems good practices to peers or to other companies (e.g. CRE). Running private or public cloud systems based on one or more of Kubernetes, OpenStack, NVIDIA BCM, Docker or Slurm</li><li>No prior experience having worked in a team of any particular name or having worked in a ML/AI focused team are required but also a nice to have. Experience managing team(s)</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you! 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 deep learning - 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, we are increasingly known as “The AI Computing Company.” Were looking to grow our company and establish teams with the most thoughtful people in the world.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until September 10, 2025.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.