Senior Software Engineer - Deep Learning Compiler CI Infrastructure

at Nvidia
📍 Santa Clara, United States
USD 140,000-224,200 per year
SENIOR
✅ On-site

Used Tools & Technologies

Machine Learning

Required Skills & Competences

Jenkins @ 7 Kubernetes @ 4 Python @ 7 GitHub @ 7 GitHub Actions @ 7 CI/CD @ 4 Distributed Systems @ 7 Hiring @ 4 Mathematics @ 4 Debugging @ 3 LLM @ 4 GPU @ 4 Deep Learning @ 4 Observability @ 7 AI @ 4 Slurm @ 4 LLVM @ 3

Details

NVIDIA is hiring a Senior Software Engineer to own and evolve the CI/CD infrastructure that powers the development lifecycle of NVIDIA's deep learning compiler stacks. The role focuses on designing and operating scalable CI systems that orchestrate ML workloads across diverse GPU and accelerator environments, deliver reliable correctness and performance signals, and serve as a technical point of contact for CI health, project onboarding, and new architecture bring-up.

Responsibilities

  • Build, maintain, and improve CI infrastructure that supports development, verification, and release of NVIDIA’s deep learning compiler stacks across GPU and accelerator environments.
  • Improve CI reliability and signal quality by reducing flakes, improving reproducibility, strengthening diagnostics, and making correctness and performance failures easier to understand and act on.
  • Apply automation, AI, and agent-based workflows to reduce manual CI operations, speed up failure triage, and improve developer efficiency.
  • Build reusable and self-service CI platforms that support multiple products, projects, model suites, hardware targets, and software configurations while partnering closely with compiler, infrastructure, and release teams.

Requirements

  • BS, MS, or PhD (or equivalent experience) in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field.
  • 5+ years of experience designing, scaling, and operating CI/CD, build/release, or developer infrastructure for complex software systems.
  • Proven experience building CI platforms end-to-end using systems such as GitLab CI, GitHub Actions, Jenkins, or similar tools, including pipeline orchestration, compute/runner management, artifact and package systems, and observability, with strong emphasis on reliability, reproducibility, and debuggability.
  • Strong software engineering skills (Python required), with the ability to design, implement, and debug distributed systems end-to-end.
  • Proven track record of designing, building, and deploying AI/LLM-based systems in real engineering workflows, demonstrating skill in evaluating trade-offs, failure modes, maintainability, and measurable impact on developer productivity, signal quality, or operational efficiency.

Ways to stand out

  • Experience crafting and shipping sophisticated AI/agent-based systems that improve continuous integration or developer efficiency (intelligent test selection, automated triage/routing, regression localization, autonomous remediation, developer-assist workflows).
  • Experience operating CI for deep learning / GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms.
  • Familiarity with compiler IRs and infrastructure such as LLVM/MLIR, XLA/HLO, Triton IR, cuTile, or TileIR, especially in the context of testing, debugging, and validating compiler-driven workloads.

Compensation & Additional Information

  • Base salary range: 140,000 USD - 224,250 USD (actual base salary determined by location, experience, and pay of employees in similar positions).
  • Eligible for equity and benefits.
  • Applications accepted at least until May 3, 2026. This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to a diverse work environment.