NVIDIA

AI

SeniorCompilerEngineer

$184–288k Austin, Texas, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Compiler Engineer at NVIDIA. Skills: AI Compiler Engineering, Compiler Technologies, Machine Learning, LLVM/MLIR, LLM integration. building AI-driven compiler intelligence for production compiler pipelines. delivering measurable improvements in performance and efficiency”

What You'll Achieve.

measurable improvements in performance and efficiency; runtime gains; compile-time improvements; efficiency improvements on real-world workloads

Industry & Context.

AI
Problems you'll solve

compiler optimization; performance and efficiency improvements; decision support; workflow automation

What They're Looking For.

Must Have

BS/MS/PhD in Computer Science or a related field (or equivalent experience), 8+ years of software engineering and AI/ML experience, knowledge of compilers, code generation, and GPU architecture, Demonstrated proficiency in Python and C/C++, 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

Nice to Have

Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling, and complex systems, Proven track record of deploying AI/ML solutions in production and embedded environments, experience integrating LLMs into systems workflows with attention to reliability, latency, and evaluation quality, Demonstrated measurable outcomes such as runtime gains, compile-time improvements, or efficiency improvements on real-world workloads, Publications, open-source contributions, or patents in compilers, AI/ML systems, or performance engineering

What You'll Do.

building AI-driven compiler intelligence for production compiler pipelines

delivering measurable improvements in performance and efficiency

advancing LLM-enabled workflows for compiler decisioning and developer productivity

shaping next-generation compiler capabilities

Design and implement end-to-end compiler optimization workflows

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

and deployment with standards for reliability

How You'll Work.

Team & Collaboration

Collaborate with world-class engineers; Partner with compiler, architecture, and performance teams

Full Job Description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking an AI Compiler Engineer with deep expertise in compiler technologies to join our team. The ideal candidate brings broad experience across machine learning, including reinforcement learning, genetic/evolutionary algorithms, predictive modeling, complex systems, and high-dimensional data analysis, along with strong foundations in compiler design and domain-specific languages. This role is focused on building AI-driven compiler intelligence for production compiler pipelines, delivering measurable improvements in performance and efficiency, and advancing LLM-enabled workflows for compiler decisioning and developer productivity. **What you 'll be doing:** * 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 optimizati

Free ATS check

Applying for this Senior Compiler Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about NVIDIA?

Real rants from real employees. Read before you apply.

Read Company Rants →