GPU Research Engineer

A leading technology company specializing in semiconductor and telecommunications equipment.
$133,600 - $200,400
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI

Description For GPU Research Engineer

Qualcomm Technologies is seeking a talented GPU Research Engineer to join their GPU Research Team. This role focuses on advancing cutting-edge capabilities in AI, Machine Learning, and General-Purpose GPU applications. The position offers an exciting opportunity to work with state-of-the-art technology and contribute to the development of new GPU architectural features, particularly for ML/AI and large language models (LLM).

The ideal candidate will collaborate closely with various teams, including software, hardware design, and standardization bodies, while participating in ML/AI open-source projects. The role requires expertise in GPU architectures, programming models, and applications, with essential knowledge of various APIs and programming languages.

Qualcomm offers a comprehensive benefits package, including competitive salary ($133,600 - $200,400), annual bonuses, RSU grants, and extensive health and wellness benefits. The company's commitment to innovation, coupled with its supportive, inclusive culture, makes this an excellent opportunity for someone looking to make significant contributions to the future of GPU technology and AI applications.

Working at Qualcomm means joining a global leader in technology innovation, with opportunities for continuous learning, professional growth, and collaboration with some of the industry's brightest minds. The company's focus on work-life balance and employee wellbeing, combined with its technological leadership, creates an ideal environment for career development and personal growth.

Last updated 2 hours ago

Responsibilities For GPU Research Engineer

  • Help advance state-of-the-art capabilities in AI, Machine Learning and GPGPU
  • Collaborate with software team, hardware design team, standardization bodies
  • Develop and design new GPU architectural features for ML/AI and GPGPU use cases
  • Work on large language models (LLM) applications
  • Participate in ML/AI open-source projects

Requirements For GPU Research Engineer

Python
Java
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of experience
  • Strong understanding of GPU architectures, programming models, and applications
  • Familiarity with APIs such as OpenCL, CUDA, Vulkan, or D3D12
  • Working knowledge of C/C++
  • Python programming skills (preferred)

Benefits For GPU Research Engineer

Medical Insurance
401k
Mental Health Assistance
Education Budget
  • Competitive annual discretionary bonus program
  • Annual RSU grants
  • Medical coverage for employees and dependents
  • 401k retirement planning
  • Educational assistance
  • Mental health and wellbeing programs
  • Work-life balance support

Interested in this job?

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