> Markdown version of [/jobs/ext/4609325-manager-software-engineering](https://www.wearedevelopers.com/jobs/ext/4609325-manager-software-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Software Engineering - **Company:** NVIDIA Corporation - **Location:** Westford, MA, United States - **Experience:** Expert - **Salary:** $224,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Clusters, Computer Engineering, Computer Graphics, Data Systems, Distributed Data Store, Distributed Systems, Open Source Technology, Software Engineering, Reinforcement Learning, Computer Gaming, Graphics Processing Unit (GPU), Kubernetes, Information Technology - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/manager-software-engineering-westford-ma--0d8e2921-25c3-4600-8c26-ac80a6d064d6 ## About the Role Software Engineering, Computer Graphics, Artificial Intelligence (AI), GPU (Graphics Processing Unit), Computer Games, Vehicle Fleets, Reinforcement Learning, Cloud Computing, Training/Teaching, Engineering Management, * BS or MS in Computer Science, Computer Engineering or a related field, or equivalent experience. * 12+ overall years in software engineering, with 5+ years managing engineering teams, including leading tech leads or managers. * A track record of building and running large-scale distributed systems in production: clusters, platforms or infrastructure services used by other engineers. * Hands-on depth in at least one of: workload scheduling and resource management, distributed storage and data systems, or Kubernetes-based platforms. * Hiring and growing senior engineers, and building teams that keep quality high under pressure. * Experience owning reliability for critical services: on-call, incident response, postmortems and the fixes that follow. * Clear written communication. You can take a contested technical question across several teams to a decision, and write it down. Ways to stand out from the crowd: * Experience with GPU clusters for AI training at scale: thousands of GPUs, large training runs, high-speed interconnects. * Experience with reinforcement learning or post-training workloads and what they need from infrastructure. * Contributions to open-source infrastructure projects, or experience taking an internal platform open source. * Has led teams across time zones. * Uses AI coding and operations tools in daily work and has raised a team's productivity with them.