Senior Manager, Software Engineering - NIM Factory

Details

NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a deeply technical, hands-on Senior Engineering Manager to lead the NVIDIA Inference Microservices (NIM) Factory team. You will lead and scale a world-class engineering organization that delivers day‑0 model launches and follows through with enterprise‑grade software—to delight customers with reliable, performant, and secure AI services at massive scale. You will partner closely with product, research, SRE, and security to define strategy, drive execution across multiple workstreams, and safeguard the long‑term technical health of the platform.

Responsibilities

• 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.

Requirements

• 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 Python; 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

• 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.

Compensation & Benefits

• Base salary range: 272,000 USD - 425,500 USD (final base salary determined by location, experience, and internal pay comparisons).
• Eligible for equity and company benefits (see NVIDIA benefits page).

Other details

• Location: Santa Clara, California, United States.
• Employment type: Full time.
• Applications accepted at least until: September 18, 2025.
• NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.