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GPU Performance Engineer

External
Intel logoIntel · California, Folsom
Full-timeHybridToday
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Requirements

  • 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.
  • Bachelor's degree in electrical engineering, computer engineering, computer science. MSc is preferred
  • 6+ years of relevant industry experience
  • Relevant experience includes but is not limited to: Proven knowledge of GPU architecture, modern APIs and rendering techniques, shaders.
  • Hands-on experience with RTL/Model based debugs
  • Experience with modern 3D games and Benchmarks
  • Job Type:
  • Experienced Hire
  • Shift:
  • Shift 1 (United States of America)
  • Primary Location:
  • US, California, Folsom
  • Additional Locations:
  • US, California, Santa Clara
  • Business group:
  • Posting Statement:
  • 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: $141,910.00-269,100.00 USDWork Model for this RoleThis 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.*Health insurancePaid time offEquity / stock optionsPerformance bonus

Additional Information

Job Details: Job Description: As part of Intel's GPU performance team, the candidate will be working on Intel's new Graphics Processing Units and mainly focus on optimizing modern workloads to achieve the best in class performance. The key areas of focus are 3D graphics rendering techniques and algorithms, workload analysis, Hardware (HW) and Software (SW) debugs and performance bottleneck identification. You will be working with a group of HW and SW architects, designers/developers in a multi-disciplinary environment.


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