GPU Logic Design Engineer

Intel Corporation; Santa Clara (CA); Hybrid; USD 106,000 - 200,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Vacation

Job summary

Intel Corporation in California is hiring a GPU Logic Design Engineer to develop RTL code and optimize GPU IP blocks for next‑generation SoC designs. You will work on architecture features, verify RTL, and collaborate with cross‑functional teams to ensure robust, power-efficient GPUs.

The role requires strong SystemVerilog skills, experience in RTL design, and the ability to work across firmware, digital logic, and physical design, with a hybrid work model in the US.

Qualifications

• Bachelor’s degree in Electrical/Computer Engineering, CS or related field with 4+ years RTL design and SystemVerilog expertise.
• Master’s degree in Electrical/Computer Engineering, CS or related field with 3+ years RTL design and SystemVerilog experience.
• PhD in Electrical/Computer Engineering, CS or related field with 6+ months RTL experience.

Responsibilities

• Develop RTL code and implement optimized logic designs for GPU IPs.
• Perform power, performance, area, and timing optimization during physical implementation.
• Define architecture and microarchitecture features for GPU blocks.
• Execute unit-level verification and debug RTL tests to ensure correctness.
• Use formal equivalence verification (FEV) techniques across development stages.
• Collaborate with SoC customers to ensure high-quality integration of GPU blocks into full chip designs.

Skills

RTL design

SystemVerilog

Digital logic

Power optimization

Education

Bachelor's degree

Master's degree

PhD (related field)

Tools

FEV

Static timing analysis

TCL scripting

Job description

GPU Logic Design EngineerApply: US, California, Santa Clara: US, California, Folsom: Full time: Posted Yesterday: JR0287451

Job Details:

Job Description:

As a GPU Logic Design Engineer, you will play a vital role in developing cutting-edge graphics IPs required for next-generation GPU designs. By leveraging your expertise in logic design and RTL coding, you will contribute to the creation of functional units, GPU IP blocks, and their integration into system-on-chip (SoC) designs.You will collaborate with diverse teams to define architecture and microarchitecture features, optimizing logic to meet power, performance, area, and timing targets. Your work will directly impact Intel's leadership in graphics technology, enabling innovative solutions for a wide range of applications and products.

• Develop RTL code and implement optimized logic designs for GPU IPs, ensuring alignment with architecture and microarchitecture specifications.
• Perform power, performance, area, and timing optimization to meet design goals during physical implementation.
• Participate in defining architecture and microarchitecture features for GPU blocks, contributing to innovation and technology leadership.
• Execute unit-level verification, debug failing RTL tests, and resolve design issues to achieve correctness, functionality, and robustness at all verification hierarchies.
• Utilize formal equivalence verification (FEV) techniques to ensure design accuracy and fidelity across development stages.
• Collaborate with SoC customers to ensure seamless and high-quality integration of GPU blocks into full chip designs.
• Drive microarchitecture-level enhancements and provide technical documentation to support design and development activities.

Qualifications:

Minimum Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 4+ or more years of experience in RTL design and logic development with expertise in System Verilog. OR
• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 3+ or more years of experience in RTL design and logic development with expertise in System Verilog. OR
• PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field with 6+ or more months of experience in RTL design and logic development with expertise in System Verilog.

Preferred Qualifications,

• Proficiency in low-power design techniques, including UPF coding and debugging.
• Experience with static timing analysis and formal equivalence verification (FEV).
• Understanding of GPU architecture fundamentals and digital design principles.
• Technical proficiency in TCL scripting for design automation tasks.
• Demonstrated ability to debug microarchitecture and hardware simulations effectively.
• Advanced knowledge of microarchitecture fundamentals and GPU validation methodologies.
• Experience with power and performance validation and debugging in large-scale GPU designs.
• Strong communication and collaboration skills, with a track record of working in cross-functional teams to solve complex problems.

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:US, California, Folsom

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, 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: $105,650.00-200,340.00 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.