GPU Compiler Engineer

Job Details:

Job Description:

 Job Description Responsible for the definition, design, development, test, debugging, release, enhancement, and maintenance of software tools for domain specific programming languages. May work directly with hardware design team, companies and communities developing compilers, and participate in language and standards groups.

We are seeking a senior compiler candidate who will be working on Intel graphics compiler project that involves DX shader, OpenGL, OpenCL and SYCL.

Key Responsibilities The job responsibilities consist of:

• Intermediate representation interface: Design and integrate the IR interface between FE components and Intel graphics compiler

• Optimizer: Design and develop optimization algorithms

• Generated code analysis: Analyze compiler generated code, identify inefficiency and propose compiler optimizations or HW enhancements to address performance issues

• Architecture research: Work with HW architects on collecting data and evaluating for advanced features for future Intel Graphics processors

Qualifications:

Minimum Qualifications: 

• MS or Ph.D. degree in Computer Science and Electrical and Computer Engineer

• 3+ years of academic or work experience in/with

 C/C++ programming experience

• 1+ years academic or work experience

 in compiler development

Preferred qualifications:

• Familiarity with compiler optimizations, front-end translation and back-end code generation

• Familiarity with computer and graphics architecture

• Familiarity with GPGPU programming model

• Knowledge of LLVM infrastructure is a big plus

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

          

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: $149,600.00-211,200.00 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.