Senior Software Engineer - Deep Learning Compiler CI Infrastructure

Nvidia

Quick summary

Work type: On-site
Location: Santa Clara, CAHillsboro, ORNew York, NYSeattle, WA
Salary: $140,000–$224,250 / yr
Posted: 47 days ago
Nearby: 99+ roles within 25 mi

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Competitive pay

How this pay compares to similar roles

Similar $186k

This role $182k

$129k most similar roles pay here $239k

This role pays less than 52% of similar roles. Most pay $146,500–$225,400 — the shaded band above. At the midpoint, this role pays about $182k versus about $186k for comparable roles.

Based on 240 similar postings.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 994 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer - Deep Learning Compiler CI Infrastructure

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As a Senior CI/CD Engineer on NVIDIA’s deep learning compiler team, you will own and evolve the continuous integration and delivery infrastructure that supports the development lifecycle of complex deep learning compiler stacks. Your responsibilities include designing and operating scalable CI systems to orchestrate machine learning workloads across diverse GPU and accelerator environments, ensuring reliable correctness and performance signals. You will apply automation, AI, and agent-based workflows to reduce manual operations, speed up failure triage, and enhance developer efficiency. The role requires expertise in Python, strong software engineering skills, and experience with CI/CD tools like GitLab CI or Jenkins. Familiarity with deep learning frameworks and compiler infrastructure such as LLVM/MLIR is beneficial, as you will work closely with compiler, infrastructure, and release teams to build reusable and self-service CI platforms that support multiple products and configurations.

Skills

GitLab CI GitHub Actions Jenkins Python Kubernetes Slurm Terraform Docker CI/CD Prometheus Grafana LLVM MLIR XLA cuTile Triton IR AWS Azure Google Cloud Platform PostgreSQL MongoDB Git GitHub Bitbucket Jira Confluence

What you'll do

Design and maintain CI systems for NVIDIA’s deep learning compiler stacks across GPU environments.
Enhance CI reliability by reducing flaky tests and improving failure diagnostics.
Automate CI operations to speed up developer efficiency and failure triage.
Build reusable CI platforms supporting multiple products, projects, and hardware targets.
Apply AI/agent-based workflows to improve continuous integration and developer productivity.

What we're looking for

5+ years experience designing, scaling, and operating CI/CD for complex software systems.
Proven track record building end-to-end CI platforms using GitLab CI, Jenkins, etc.
Strong Python skills and ability to design, implement distributed systems.
Experience with AI/LLM-based systems improving developer efficiency and signal quality.
Familiarity with DL/GPU environments and operating CI for multi-GPU/node workloads.

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