Compiler Engineer, Agentic Compilation Systems - New College Grad 2027 — San Francisco
NVIDIA · US, CA, Santa Clara
Posted Posted 15 mins ago
Refyne take
This Compiler Engineer, Agentic Compilation Systems - New College Grad 2027 role at NVIDIA was posted in the last 5 days. Before applying, run your resume through the checker on the right — most rejections here are keyword and formatting mismatches, not qualifications.
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 looking for an outstanding Compiler Engineer to help build the next generation of intelligent compiler technologies for NVIDIA's accelerated computing stack. Our team works at the intersection of compilers, agentic systems, numerical correctness, and verification to create systems that can reason about, generate, optimize, and validate code transformations across software and hardware boundaries. This is an excellent opportunity for new graduates who are excited about coding agents, AI-assisted software engineering, developer tools, and GPU computing. In this role, you will work with experienced engineers and researchers to build agentic systems and compiler-aware tooling that improve developer productivity, code quality, and system performance across NVIDIA's software and hardware stack.
What you'll be doing:
• Build and improve coding-agent systems for tasks such as code generation, transformation, debugging, optimization, validation, and developer assistance.
• Develop agent workflows involving tool use, planning, memory, execution, and feedback loops for software engineering and compiler-related tasks.
• Help create training, evaluation, and verification environments to improve agent quality, correctness, robustness, and usefulness in real-world developer workflows.
• Work on systems that reason about source code, intermediate representations, low-level performance behavior, and optimization opportunities across GPU-centric workloads.
• Collaborate with compiler, CUDA, runtime, library, and hardware teams to develop and productize new agentic and compiler-aware capabilities.
• Analyze failures, investigate correctness issues, and improve system reliability, scalability, and performance in production-oriented settings.
What we need to see:
• 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 one or more of the following areas: 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; experience with Rust is a plus.
• Strong interest in coding agents, agent systems, compiler automation, AI-assisted software engineering, or program analysis.
• Exposure to one or more of the following is highly desirable: compilers, LLVM/MLIR, program analysis, code generation, CUDA, GPU programming, parallel computing, or performance optimization.
• Strong problem-solving skills and the ability to work effectively across software layers and multidisciplinary teams.
Ways to stand out from the crowd:
• Internship, research, or project experience building coding assistants, software engineering agents, autonomous developer tools, or AI-assisted programming workflows.
• Experience with compiler infrastructure such as LLVM, MLIR, Triton, PTX, or related IR/codegen frameworks.
• Experience with evaluation, testing, verification, or feedback systems for AI or agentic workflows.
• Hands-on experience with CUDA, GPU systems, or performance tuning for parallel workloads.
• Publications, open-source contributions, or strong academic projects in coding agents, AI systems, compilers, programming systems, or high-performance computing.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 25, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
Explore related searches
Browse the wider category, city and company pages this role belongs to.
More jobs at NVIDIA
- Manager, Solutions Architecture - AI Infrastructure Build ReadinessNVIDIA · US, CA, Santa ClaraonsitemidPosted 15 mins ago
- Senior Machine Learning Engineer, Perception - Autonomous DrivingNVIDIA · US, CA, Santa ClaraonsiteseniorPosted 15 mins ago
- Senior Software Control Integration Engineer - Autonomous VehiclesNVIDIA · US, CA, Santa ClaraonsiteseniorPosted 15 mins ago
- Senior Software Engineer, Test - Autonomous VehiclesNVIDIA · US, CA, Santa ClaraonsiteseniorPosted 15 mins ago
- Senior Synthetic Data Engineer - Autonomous DrivingNVIDIA · US, CA, Santa ClaraonsiteseniorPosted 15 mins ago
- ASIC Verification EngineerNVIDIA · US, CA, Santa ClarahybridmidPosted 15 mins ago