Senior Compiler Engineer - AI
$184k - $288k • Remote • US, TX, Austin
Posted 1d ago
Job Location
US, TX, Austin
Tech Stack
Remote Work Policy
Fully remote
Categories
LLM Engineer
About the job
NVIDIA is seeking an AI Compiler Engineer with deep expertise in compiler technologies to join their team. This role focuses on building AI-driven compiler intelligence for production compiler pipelines, aiming to deliver measurable improvements in performance and efficiency. The engineer will advance LLM-enabled workflows for compiler decisioning and developer productivity, working within a diverse and supportive environment that fosters innovation. The position involves collaborating with world-class engineers to shape next-generation compiler capabilities that power large-scale, high-impact products.
Responsibilities
- Drive innovative solutions in compilers and developer tools through applied machine learning and AI.
- Shape next-generation compiler capabilities for large-scale products.
- Design and implement end-to-end compiler optimization workflows, including feature engineering, model development, and production rollout.
- Develop and integrate learning-based decision systems into compiler passes, code generation, and optimization pipelines.
- Build robust interfaces between LLM systems and compiler infrastructure for optimization recommendations and workflow automation.
- Partner with compiler, architecture, and performance teams to validate impact on representative workloads.
- Lead experimentation, evaluation, and deployment with strong standards for reliability, scalability, and performance.
Requirements
- BS/MS/PhD in Computer Science or 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.
- 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 (optimization passes, code generation, or frontend integration).
- Experience building or integrating LLM-based systems, agents, or developer tooling in production environments.
- 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.
Benefits
- Equity
- Benefits package
- Competitive salaries