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GPU development engineer
1 month ago
Job Title: GPU development engineer
Work Location: Santa Clara, CA 95054
Duration: 9 Months
Work Type: Contract
Job Type: Onsite
Pay Rate: $57.79 - 86.69/Hourly/W2
Overview:
TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. This Client is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets. global company that specializes in manufacturing semiconductor devices used in computer processing. The company also produces flash memories, graphics processors, motherboard chip sets, and a variety of components used in consumer electronics goods.
Job Description:
THE ROLE:
- This position is for an experienced engineer with GPU programming and optimizations skills, with a proven ability to analyze GPU codes and delivery of highly parallel solutions.
- You will be part of a team developing and tuning a computational geometry application for Client CPU and GPU platforms.
THE PERSON:
- Software development engineer with experience writing GPU code to solve problems in the computational geometry domain and a track record of collaboration.
- Must be self-motivated and possess the ability to work well within a team environment.
ACADEMIC CREDENTIALS AND EXPERIENCE:
- Bacheor’s in Computer Science, or related subjects, or equivalent experience
- 3-5 years of relevant industry experience
KEY RESPONSIBILITIES:
- Develop and optimize application code Client CPU and GPU systems
- Provide domain specific knowledge to other groups at Client
- Engage with Client product groups to drive resolution of application and customer issues
- Develop initial documentation for GPU library code
PREFERRED EXPERIENCE:
- In depth knowledge of computational geometry, electronic design automation
- Extensive experience with modern C++
- Experience debugging and profiling highly parallel code
- Strong performance analysis skills for both CPU and GPU
- Experience in implementing and optimizing parallel methods on GPU accelerators in distributed memory systems with CUDA, HIP, OpenCL.
- Experience with CUDA/ROCm libraries like Thrust, CUB etc preferred
- Experience with build system tools and CI systems
- In-depth knowledge of software development practices including debug, test, revision control, documentation, and bug tracking
- Strong team development skills including demonstrated expertise with git and Jira
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
