Intel Logo

Intel

GPU Compiler Engineer

Sorry, this job was removed at 04:10 p.m. (PST) on Tuesday, Jul 01, 2025
Be an Early Applicant
In-Office
Santa Clara, CA, USA
170K-240K Annually
In-Office
Santa Clara, CA, USA
170K-240K Annually

Similar Jobs

17 Days Ago
In-Office or Remote
Santa Clara, CA, USA
152K-242K Annually
Senior level
152K-242K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Guide the design and implementation of a new LLVM based backend JIT compiler targeting NVIDIA GPUs while collaborating with teams to enhance compiler performance.
Top Skills: C++CudaDirectxLlvmOpenglVulkan
15 Days Ago
In-Office
Santa Clara, CA, USA
140K-224K Annually
Mid level
140K-224K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The role involves analyzing compiler performance, automating tests, driving performance regressions to resolution, and enhancing testing processes in a team-oriented environment.
Top Skills: CC++CudaPerlPythonShell
7 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
100K-120K Annually
Senior level
100K-120K Annually
Senior level
Edtech • Kids + Family • Social Impact • Software
The Instructional Specialist, Multilingual Learning designs instructional frameworks, ensures content aligns with language standards, coaches internal teams, and leads research on multilingual education trends.
Top Skills: Digital Authoring ToolsGoogle Workspace
Job Details:

Job Description: Join Intel and build a better tomorrow. We create world-changing technologies that improve the life of each person on the planet every day. We are looking for a GPU Compiler Engineer to join our team who is ready to make significant impact on client graphics via functional features and advanced optimizations. - Design and develop state of the art compiler translations and optimizations targeting GPU. - Investigate and prototype new optimizations to improve performance and efficiency for GPU systems. - Collaborate with GPU HW architects to to implement new uArch features for future Intel graphics IPs. - Performance measurement and workload analysis to evaluate and improve the compilation technology on new HW features.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:

Bachelor's degree in Electrical/Computer/Software Engineering, Computer Science or any related field with 4+ years of relevant experience, OR Master's degree in Electrical/Computer/Software Engineering, Computer Science or any related field with 3+ years of relevant experience, OR PhD in Electrical/Computer/Software Engineering, Computer Science or any related field with 2+ years of relevant experience.

Relevant experience should be of the following:

  • C/C++ programming skills

Preferred Qualifications:

  • Knowledge of LLVM compiler internals and/or GPU compiler technology supported by professional experience in the domain.

  • Familiar with GPU Programming Models and 3D rendering pipeline using 3D/Compute APIs e.g. DirectX, DirectML, OpenGL, OpenCL, Vulkan, etc.

  • Experience with analysis and tuning of compiler transformations and optimizations.

  • Design and development of a product compiler, e.g. in transformations, dataflow/control-flow/dependence analysis, optimizations, and code generation.

  • Hands-on development of compiler tools, such as assembler, linker, debugger, etc.

  • Experience with performance monitoring and HW considerations that can affect measuring methodologies.

  • Experience in using software development infrastructure - GitHub, JIRA, cmake, scripting languages.

  • Experience with systems programming and tooling in support of automation and development activities, including service configuration and management.

  • Experience with database design, structured data, and interacting with API endpoints in languages such as Python.

  • Experience and knowledge of statistical methods and methodologies for measuring and monitoring performance and key performance and quality indicators.

          

Job Type:Experienced Hire

Shift:Shift 1 (United States of America)

Primary Location: US, Oregon, Hillsboro

Additional Locations:US, California, Folsom, US, California, Santa Clara

Business group:The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

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/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:

$169,820.00-$239,750.00

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.

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

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