GPU Compiler Engineer

Staff GPU Compiler Engineer – UK REMOTE

Minimum Qualifications:

• Bachelor’s degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
  OR

• Master’s degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
  OR

• PhD in Science, Engineering, or related field.

Preferred Qualifications:

• Master’s degree in Electrical/Electronic Engineering, Computer Engineering, or Computer Science.
• 3+ years of ASIC design, verification, validation, integration, or related work experience.
• 2+ years of experience with architecture and design tools.
•  2+ years of experience with scripting tools and programming languages.
• 2+ years of experience with design verification methods.

Principal Duties and Responsibilities:

• Applies GPU knowledge to assist in the architecture, design, implementation, verification, and/or optimization of the performance and power of GPU cores.
• Assists in building functional model simulations, developing software, and testing for various graphics to verify correctness.
• Programs and runs graphics tests using tools and methods to assess functionality, performance, and power.
• Collaborates with team members to  guide implementation and ensure alignment with needs and goals.
• Assists in the development of driver and compiler software to support GPU products. 
• Writes technical documentation and feature descriptions for GPU projects.

Level of Responsibility:

• Works independently with minimal supervision.
• Decision-making may affect work beyond immediate work group.
• Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.  
• Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions).
• Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.