Triton Compiler Engineer

25 Minutes ago • 2 Years + • Software Development & Engineering • $161,740 PA - $228,340 PA

Job Summary

Job Description

Triton-lang is an open-source programming language and compiler for creating highly efficient custom GPU kernels, widely adopted in stacks like Pytorch, SGLang, and vLLM. This role involves developing Triton front-end and back-end components for Intel GPUs. Key responsibilities include defining, designing, developing, testing, debugging, releasing, enhancing, and maintaining software tools for domain-specific programming languages, working with hardware design teams and programming communities, and participating in language and standards groups. The ideal candidate is collaborative, a fast learner, and passionate.
Must have:
  • Define, design, develop, test, debug, release, enhance, and maintain software tools for domain-specific programming languages.
  • Work directly with hardware design teams, compiler development companies, and programming communities.
  • Participate in language and standards groups.
  • Design and implement Triton compiler front-end and back-end components.
  • Develop optimization passes for supported kernels.
  • 6+ years of experience in GPU programming for AI Workload (or 4+ with Master's, 2+ with PhD).
  • Programming skills in C, C++, and Python.
  • Experience with compiler stages, code generation, and optimization techniques.
  • Experience with GitHub development environment.
  • Familiarity with PyTorch attention techniques for transformer models.
Good to have:
  • Experience with LLVM, MLIR, and Triton compiler architecture.
Perks:
  • Competitive pay
  • Stock
  • Bonuses
  • Health benefits
  • Retirement benefits
  • Vacation

Job Details

Job Details:

Job Description:

Role Overview:

Triton-lang is a open-source programming language and compiler for creating highly efficient custom GPU kernels. Its widely adopted in several stacks like Pytorch, SGLang, vLLM etc. Come join us to develop Triton front end and back end components for Intel GPUs.

Key Responsibilities:

• Define, design, develop, test, debug, release, enhance, and maintain software tools for domain-specific programming languages

• Work directly with hardware design teams, compiler development companies, and programming communities

• Participate in language and standards groups

• Design and implement Triton compiler front-end and back-end components

• Develop optimization passes for supported kernels

The ideal candidate should exhibit Collaborative skills, fast learner, and be passionate

Qualifications:

Minimum Requirements:

Bachelor's degree in Computer Science, Computer Engineering or related field and 6+ years of experience in GPU programming for AI Workload

OR Master's in Computer Science, Computer Engineering or related field and 4+ years of experience in GPU programming for AI Workload

OR PhD in Computer Science, Computer Engineering or related field and 2+ years of experience in GPU programming for AI Workload

The experience must include:

• Programming skills in C, C++, and Python

• Experience with compiler stages, code generation, and optimization techniques

• Experience with GitHub development environment

• Familiarity with PyTorch attention techniques for transformer models

Preferred Qualifications:

• Experience with LLVM, MLIR, and Triton compiler architecture

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, Texas, Austin

Additional Locations:

US, Arizona, Phoenix, US, California, Santa Clara

Business group:

The Software and AI (SAI) Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:

https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003

Annual Salary Range for jobs which could be performed in the US:

$161,740.00-$228,340.00

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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