Compiler Engineer - GPU Programming

Triton Compiler Engineer

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 about the technology.

Qualifications:

Minimum Requirements: Bachelor's degree in Computer Science, Computer Engineering or related field and 8+ years of experience in GPU programming for AI Workload OR Master's in Computer Science, Computer Engineering or related field and 6+ years of experience in GPU programming for AI Workload OR PhD in Computer Science, Computer Engineering or related field and 4+ 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 (India)

Primary Location: 

India, Bangalore

Additional Locations:

Business group:

At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners.

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

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.