Graphics Engineer / GPU High-Level Modelling Engineer

Job Responsibilities:

•    Bachelor''s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
Master''s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.

Preferred Qualifications:

•    Master''s degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
•    8+ years of relevant GPU experience.

Principal Duties and Responsibilities:

•    Applies GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.

•    Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures performance and power goals are met.

•    Programs and runs graphics tests using tools and methods to assess functionality, performance, and power and identify issues. 

•    Collaborates with teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.

•    Develops driver and compiler software to support GPU products. 

•    Writes detailed technical documentation and feature descriptions for GPU projects to guide users and/or customers to use or implement software.

Level of Responsibility:
•    Works under 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.
•    Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.