Compiler Engineer, Agentic Compilation Systems - New College Grad 2027

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 108,000 - 195,500 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["Problem-solving","Software engineering fundamentals","Multidisciplinary collaboration"]

Build intelligent compiler and coding-agent systems that generate, transform, debug, optimize, and validate code across software and hardware boundaries. Develop agent workflows with tool use, planning, memory, execution, and feedback loops, and create training/evaluation/verification environments to improve correctness and robustness. Collaborate with compiler, CUDA, runtime, library, and hardware teams to productize compiler-aware agentic capabilities and improve reliability and performance in production settings.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Compiler Engineer, Agentic Compilation Systems - New College Grad 2027

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Last checked: 6 hours agoStatus: Live

Job Summary

Build intelligent compiler and coding-agent systems that generate, transform, debug, optimize, and validate code across software and hardware boundaries. Develop agent workflows with tool use, planning, memory, execution, and feedback loops, and create training/evaluation/verification environments to improve correctness and robustness. Collaborate with compiler, CUDA, runtime, library, and hardware teams to productize compiler-aware agentic capabilities and improve reliability and performance in production settings.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Entry level

Key Responsibilities

  • •Build and improve coding-agent systems for code generation, transformation, debugging, optimization, validation, and developer assistance.
  • •Develop agent workflows for tool use, planning, memory, execution, and feedback loops across software engineering and compiler-related tasks.
  • •Create training, evaluation, and verification environments to improve agent quality, correctness, robustness, and usefulness.
  • •Reason about source code, intermediate representations, and low-level performance behavior to identify optimization opportunities across GPU-centric workloads.
  • •Collaborate with compiler, CUDA, runtime, library, and hardware teams; analyze failures and improve reliability, scalability, and performance.

Pay and Benefits

Salary: USD 108,000 - 195,500 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field, or equivalent experience.
  • •Academic, research, or internship experience in coding agents, AI systems, machine learning systems, developer tools, compilers, programming systems, or high-performance computing.
  • •Strong Python and C/C++ programming skills with solid software engineering fundamentals; Rust experience is a plus.
  • •Strong interest in coding agents, agent systems, compiler automation, AI-assisted software engineering, or program analysis.
  • •Exposure to compilers (e.g., LLVM/MLIR), program analysis, code generation, CUDA/GPU programming, parallel computing, or performance optimization.
Experience:Coding agentsAI systemsMachine learning systemsDeveloper toolsCompilersHigh-performance computing
Education:Bachelor's
Skills:Problem-solvingSoftware engineering fundamentalsMultidisciplinary collaboration
Tech Stack:PythonC/C++RustLLVMMLIRTritonPTXCUDAGPU programmingParallel computing

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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