AI Compiler Engineer- New College Grad 2027

NVIDIA
Santa Clara, Seattle, Pennsylvania
Workplace: OnsiteFull timeUSD 108,000 - 195,500 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Innovation","Collaboration","Automation","Research","Problem-solving"]

Develop machine learning compiler and systems technologies that accelerate modern AI workloads on NVIDIA hardware. Design, implement, and optimize compilers and kernel generations for high-impact LLM inference and training. Build agent-driven solutions to automate parts of the development flow, and co-design agent system approaches with compiler technologies. Partner closely with internal software and hardware teams to translate the latest research into production-ready acceleration.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
1 day ago

AI Compiler Engineer- New College Grad 2027

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Develop machine learning compiler and systems technologies that accelerate modern AI workloads on NVIDIA hardware. Design, implement, and optimize compilers and kernel generations for high-impact LLM inference and training. Build agent-driven solutions to automate parts of the development flow, and co-design agent system approaches with compiler technologies. Partner closely with internal software and hardware teams to translate the latest research into production-ready acceleration.
Location: Santa Clara, Seattle, Pennsylvania
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Innovate and develop machine learning compiler and systems technologies.
  • •Design, implement, and optimize compilers for high-impact AI workloads.
  • •Build agent-driven solutions to automate the overall development flow.
  • •Co-design agent system solutions with current and future AI compiler technologies.
  • •Collaborate with other engineering teams to build machine learning acceleration solutions.

Pay and Benefits

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

Key Requirements

  • •Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
  • •Experience developing machine learning systems, including ML compilers, LLM inference kernels, and kernel generations.
  • •Strong Python and C/C++ skills, with GPU programming experience.
  • •Expertise in machine learning compilers (e.g., Apache TVM, MLIR).
  • •Background in AI agent-driven solutions and automation; open source project ownership or contributions preferred.
Experience:Machine learning systemsLLM inferenceCompiler technologiesOpen sourceAI agents
Education:Bachelor's in Computer Science, Electrical Engineering, or related field
Skills:InnovationCollaborationAutomationResearchProblem-solving
Tech Stack:PythonC/C++GPU programmingApache TVMMLIRLLM inference kernelsKernel generationFlashInferFlash Attention

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
WebsiteLinkedInGlassdoor