Senior Compiler Engineer - AI

NVIDIA; Redmond (WA); On-site; USD 184,000 - 287,500; Full time

Job summary

NVIDIA is seeking an experienced software engineer for a compiler development role in Redmond, WA. The candidate will drive innovative solutions through applied machine learning and AI, collaborating with engineers on next-gen compiler capabilities.

Applicants should have a strong foundation in computer science, with 8+ years of relevant experience. A competitive salary range of 184,000–287,500 USD, along with equity and benefits, is offered. Applications accepted until May 19, 2026.

Qualifications

• 8+ years of software engineering and AI/ML experience, preferably in tools or systems development.
• Strong knowledge of compilers, code generation, and GPU architecture.
• Hands-on experience with LLVM/MLIR-based compiler development.

Responsibilities

• Design and implement end-to-end compiler optimization workflows.
• Develop and integrate learning-based decision systems into compiler passes.
• Lead experimentation, evaluation, and deployment with strong standards for reliability.

Skills

Software engineering

AI/ML experience

Knowledge of compilers

Proficiency in Python

Proficiency in C/C++

Education

BS/MS/PhD in Computer Science or related field

Tools

LLVM

MLIR

Job description

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 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.

What We Need To See

• BS/MS/PhD in Computer Science or a related field (or equivalent experience), 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.

Ways to Stand Out From the Crowd

• 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.
• Strong 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.

Compensation and Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 19, 2026.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

NVIDIA uses AI tools in its recruiting processes.