Nvidia Senior Manager Software Engineering - NIM Factory 

United States, Texas 

747590759

What you'll be doing:

• Lead the NIM Factory engineering team (containers, orchestration, workflow, observability, platform APIs); attract, hire, onboard, and grow top talent.

• Define vision, strategy, and roadmap for how we build, ship, and operate NIM from day‑0 launch through enterprise‑grade hardening (security, reliability, performance, compliance).

• Own end‑to‑end delivery of cross‑functional programs; align stakeholders and manage dependencies.

• Drive predictable delivery across multiple programs; manage priorities, resourcing, schedules, and dependencies

• Establish engineering excellence: code health and reviews, documentation, CI/CD, testing.

• Collaborate with research and platform teams on inference architecture and scalable deployment patterns.

What we need to see:

• 10+ overall years building and delivering production software systems, including 5+ years leading engineering teams as a manager; experience leading multiple teams or managing managers is a plus.

• Proven track record driving complex, cross‑functional programs from inception to successful production launch and scale.

• Strong foundation in cloud‑native engineering (containers, Kubernetes, microservices) and modern SDLC practices (CI/CD, testing, observability).

• Proficiency with cloud languages such as ython; ability to read code, guide designs, and drive high‑quality engineering outcomes.

• Demonstrated ability to hire, coach, and develop senior engineers/tech leads; build inclusive teams and a culture of ownership and excellence.

• Excellent communication and stakeholder management; ability to influence across product, research, security, and operations.

• A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience.

Ways to stand out from the crowd:

• Led teams that built and operated large‑scale LLM inference or model‑serving platforms (Triton, TensorRT‑LLM, vLLM) in production.

• Experience architecting next-generation container build systems or CI/CD platforms at scale.

• Built organizations across multiple time zones; established durable engineering processes that improved quality and velocity.

• Proven success building talent pipelines, mentoring managers/tech leads, and increasing team engagement and retention.

• Contributions to open‑source ecosystems, technical publications, or talks in containers, Kubernetes, GPU, or inference communities.