JobsSenior Compiler Engineer - AI
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Senior Compiler Engineer - AI

NVIDIA

Location

remote, Austin, TX, Redmond, WA, Santa Clara, CA

Type

Full-time

Posted

5/17/2026

Compensation

$184,000 - $287,500 per year

Undergraduate with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025

Job description

NVIDIA is seeking an AI Compiler Engineer to join their team, focusing on building AI-driven compiler intelligence for production compiler pipelines. The role involves collaborating with world-class engineers to enhance compiler capabilities and improve performance and efficiency. Candidates should have a strong background in machine learning and compiler technologies. This position offers the opportunity to make a significant impact in the field of AI and compiler development.

Requirements

  • BS/MS/PhD in Computer Science or a related field with a focus on machine learning and compiler/developer tools.
  • 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
  • Strong knowledge of compilers, code generation, and GPU architecture.
  • Demonstrated proficiency in Python and C/C++.
  • Strong mathematical and scientific foundation relevant to AI/ML and compiler technologies.
  • Hands-on experience with LLVM/MLIR-based compiler development, including optimization passes, code generation, or frontend integration.
  • Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.

Responsibilities

  • Join a team driving innovative solutions in compilers and developer tools through applied machine learning and AI.
  • Collaborate with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products.
  • Design and implement end-to-end compiler optimization workflows, from feature engineering and model development to compiler integration and production rollout.
  • Develop and integrate learning-based decision systems into compiler passes, code generation flows, and optimization pipelines.
  • Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations, decision support, and workflow automation.
  • Partner with compiler, architecture, and performance teams to validate impact on representative workloads and benchmark suites.
  • Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance.

Benefits

  • Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.

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