Senior GPU Machine Learning Engineer

4 weeks ago


San Diego, California, United States Qualcomm Full time
Job Summary

Qualcomm is seeking a highly skilled Senior GPU Machine Learning Engineer to join our team. As a leading technology innovator, we push the boundaries of what's possible to enable next-generation gaming, XR, and AI experiences.

The successful candidate will be responsible for architecting, designing, implementing, verifying, and optimizing the structure and performance of GPU hardware, drivers, features, applications, and tools. They will collaborate with cross-functional teams to meet and exceed customer needs.

Key Responsibilities:

  • Design and develop high-performance GPU software and machine learning algorithms
  • Collaborate with cross-functional teams to meet and exceed customer needs
  • Architect and design GPU hardware and software systems
  • Implement and verify GPU software and machine learning algorithms
  • Optimize GPU performance and power consumption

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field and 2+ years of software engineering experience
  • Strong C/C++ programming skills
  • Strong knowledge of machine learning theory and deep learning frameworks
  • Familiarity with GPU programming and GPGPU APIs
  • Excellent interpersonal and analytical skills

Preferred Qualifications:

  • Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Experience with device driver development and GPU programming
  • Familiarity with graphics APIs and GPGPU application development

Qualcomm is an equal opportunity employer and welcomes applications from diverse candidates. We offer a competitive salary, bonus program, and benefits package.



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