Intel Logo

Intel

Compiler Engineer

Reposted Yesterday
Be an Early Applicant
In-Office
Santa Clara, CA, USA
129K-182K Annually
Mid level
In-Office
Santa Clara, CA, USA
129K-182K Annually
Mid level
As a Compiler Engineer at Intel, you will design, develop, and maintain their LLVM-based compiler stack, collaborate with hardware teams, and enhance performance through optimizations and debugging.
The summary above was generated by AI
Job Details:

Job Description: 

The Role and Impact
Join Intel's Compiler Engineering team, where you will collaborate on cutting-edge technologies driving the next generation of software innovation. As a Compiler Engineer, you will play a critical role in designing, developing, testing, debugging, and maintaining Intel's industry-leading LLVM-based compiler stack, including C, C++, SYCL, and Fortran compilers. Your contributions will directly impact Intel's processor platforms, enabling developers worldwide to harness CPUs, GPUs, and accelerators to achieve extraordinary breakthroughs in AI, high-performance computing, and beyond. This is your opportunity to work with leaders in the LLVM community and make meaningful contributions to software ecosystems that empower global innovation.
Key Responsibilities:
- Design and develop advanced compiler features and optimizations tailored to Intel Architectures.
- Collaborate with hardware engineering teams to support new processor features and architectures through compilers.
- Contribute to the development and maintenance of Clang, DPC++, SYCL technologies, and associated tools.
- Write and maintain test cases to cover new functionality, ensuring high code coverage and overall reliability.
- Work upstream with clang open-source communities, driving industry-wide collaboration for optimal solutions.
- Ensure robust support for parallelization and vectorization techniques, enhancing the performance of Intel compilers.
- Engage with external partners, language standards groups, and companies developing compilers to align on best practices and innovative solutions.
- Investigate and resolve complex software bugs through efficient debugging and problem-solving techniques.

Professional traits:

- Demonstrated problem-solving, Communication skills and  

the ability to work independently.

Qualifications:

Minimum Qualifications:
- Bachelor's degree in Computer Science, Applied Mathematics, Informatics, or a related technical discipline.
- 3+ years of experience in C/C++ programming, object-oriented design principles, and data structures.
- 3+ years of LLVM compiler technology experience.
- 2+ years of experience in open-source projects.

Preferred Qualifications:

- Master’s degree in a related field.
- 3+ years of experience developing and maintaining production-grade compilers.
- Familiarity with clang, LLVM, or MLIR compiler frameworks.
- Experience in parallel and offload programming models like OpenMP, SYCL, CUDA, or GPU programming.
- Knowledge of performance analysis, optimization, and debugging techniques.
Seize the opportunity to be part of Intel's mission to create world-changing technology that enriches lives and shapes the future. Apply today and contribute to innovations that matter.

          

Job Type:Experienced Hire

Shift:Shift 1 (United States of America)

Primary Location: US, California, Santa Clara

Additional Locations:US, Massachusetts, Beaver Brook, US, Oregon, Hillsboro, US, Texas, Austin

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 TrustN/ABenefits

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: $128,880.00-181,940.00 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.
HQ

Intel Santa Clara, California, USA Office

Robert Noyce Building, Santa Clara, CA, United States, 95052

Intel Santa Clara, California, USA Office

2200 Mission College Blvd. , Santa Clara, CA, United States, 95054

Similar Jobs

10 Days Ago
In-Office
Mid level
Mid level
Artificial Intelligence • Cloud • Hardware • Software • Semiconductor
Develop a deep-learning compiler stack that converts neural network descriptions into optimized code for embedded and special-purpose platforms. Implement and optimize NN operations, use LLVM/MLIR, benchmark on DSPs/accelerators, devise multiprocessor partitioning/scheduling, validate runtimes, and collaborate with hardware designers and partners.
Top Skills: CC++Ir Construction/Transition/LoweringLinuxLlvmLoop OptimizationMlirPolyhedral ModelsWindows
10 Days Ago
In-Office
Mid level
Mid level
Artificial Intelligence • Cloud • Hardware • Software • Semiconductor
Develop and optimize a deep learning compiler stack (using LLVM/MLIR) that lowers neural networks from frameworks (PyTorch/TensorFlow/Caffe) to efficient code for embedded/special-purpose platforms, implement NN operation kernels, create optimization and scheduling strategies for multicore/DSP/accelerators, benchmark performance, and collaborate with hardware designers and partners.
Top Skills: CC++CaffeCnnDmaDspGlowLinuxLlvmMlirNnefOnnxPythonPyTorchRnnTensorFlowTvmWindowsXlaXtensa
10 Days Ago
Hybrid
Expert/Leader
Expert/Leader
3D Printing
Design, implement, and scale an AI compiler toolchain for Renesas SoCs using AI agents. Develop graph transforms, lowering, scheduling, and codegen for CPUs and custom accelerators. Integrate with PyTorch/TensorFlow/ONNX, optimize quantization, operator fusion, memory/layout, and tune for latency, throughput, and power. Lead validation, benchmarking, diagnostics, and developer experience improvements while collaborating across hardware and software teams.
Top Skills: Ai AgentsCC++CodegenCompiler IrsCpuDspGpuGraph OptimizationLayout TransformationsLlvmMemory PlanningMlirNpuOnnxOperator FusionPerformance ProfilingPythonPyTorchQuantizationSchedulingSocTensorFlowTvm

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account