Job Details:
Job Description:
This is an excellent opportunity to join Intel if you are interested in working on GPU compiler technologies.
The Role and Impact Join us in shaping the future of cutting-edge compiler technologies at Intel. As a Senior Compiler Engineer, you will play a critical role in defining, designing, and advancing software tools for domain-specific programming languages. Collaborating closely with hardware design teams and Intel development community, your contributions will directly impact Intel's next-generation GPU architectures. By driving innovations in compiler design and optimization, you will enable transformative performance and efficiency gains, empowering groundbreaking applications in AI and high-performance computing.
Core Responsibilities
- Develop, enhance, test, debug, release, and maintain compiler software for Intel's GPU programming models, including OpenCL, SYCL, OpenMP, and more
- Design and integrate intermediate representation (IR) interfaces between front-end components and the Intel Graphics Compiler
- Create and implement optimization algorithms to maximize code performance and efficiency
- Collaborate with GPU hardware architects to define new microarchitecture features and instruction set architecture (ISA) for future Intel GPUs
- Conduct generated code analysis to identify inefficiencies and propose compiler optimizations or hardware enhancements
- Evaluate workload performance, identify bottlenecks, and refine compilation technology to address advanced use cases
- Author technical specifications, design documents, and contribute to innovation through patents
Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
**Minimum Qualifications **
- Bachelor's in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or in a STEM related field
- 5+ years of experience in C/C++ programming, data structures, and object-oriented programming principles
- 2+ years of experience in compiler architecture, compilation phases, and code optimizations
- Experience using development tools (e.g. GitHub, Jira, CMake, etc.)
- Experience in scripting languages (e.g. Python or Shell)
- Experience developing software on Linux and Windows environments
Preferred Qualifications
- Post graduate Degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or in a STEM related field
- LLVM/MLIR expertise
- GPU programming model knowledge
- Compiler optimization experience
- Performance tuning skills
**Why This Role Matters **
This position offers the opportunity to work on cutting-edge compiler technology that directly impacts:
- AI and machine learning performance
- High-performance computing applications
- Future GPU architecture development
- Industry-leading optimization techniques
The role combines deep technical compiler work with collaborative hardware-software co-design, making it ideal for engineers passionate about both compiler technology and GPU computing.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, California, Santa Clara
Additional Locations:
Business group:
The Software 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, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $149,600.00-284,580.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
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.
- 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.