Cloud AI Power & Limits Management Staff Software Engineer

Qualcomm is a leading technology innovator that pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.
$134,800 - $202,200
Cloud
Staff Software Engineer
In-Person
4+ years of experience
AI

Description For Cloud AI Power & Limits Management Staff Software Engineer

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. Coming up with diverse and innovative approaches in software is very critical in solving these broad and deep cutting-edge technical problems. Interested in playing a key role in optimizing power and constrained performance of next generation cloud accelerators? Join Qualcomm's Power & Limits Software team to work on bleeding edge cloud accelerator products to make a difference in the industry. Join QUALCOMM's team in San Diego, CA, and work closely with System engineers, Software and Hardware developers in a world-class team. Enjoy life in sunny San Diego on the Pacific coast of California.

In this role, the candidate is expected to own and drive the analysis of complex system level AI use cases involving Computer Vision Networks, Recommendation Systems and Gen AI workloads. The candidate is expected to partner closely with various ecosystem stake holders in optimizing power and constrained performance of AI workloads on Qualcomm's cutting edge inference accelerators. An ideal candidate would have prior experience working on Power/Thermal/Limits analysis at the product level, preferably with prior experience and/or background in AI products/use cases. In addition, the candidate is also expected to contribute to development of algorithms and techniques to optimize power consumption and thermal performance of various use cases, perform system level software optimizations using hardware and software power/thermal management techniques and finally, exploration of advanced machine learning techniques in solving system level power and limits management problems.

Qualcomm is an equal opportunity employer and is committed to providing reasonable accommodations for individuals with disabilities during the application/hiring process. The company offers a competitive salary range, annual discretionary bonus program, RSU grants, and a comprehensive benefits package designed to support your success at work, at home, and at play.

Last updated a month ago

Responsibilities For Cloud AI Power & Limits Management Staff Software Engineer

  • Own and drive the analysis of complex system level AI use cases involving Computer Vision Networks, Recommendation Systems and Gen AI workloads
  • Partner closely with ecosystem stakeholders in optimizing power and constrained performance of AI workloads on Qualcomm's cutting edge inference accelerators
  • Contribute to development of algorithms and techniques to optimize power consumption and thermal performance of various use cases
  • Perform system level software optimizations using hardware and software power/thermal management techniques
  • Explore advanced machine learning techniques in solving system level power and limits management problems

Requirements For Cloud AI Power & Limits Management Staff Software Engineer

Java
Python
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience OR Master's degree and 3+ years of experience OR PhD and 2+ years of experience
  • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
  • Experience in ARM assembly language, C, C++, Python
  • Strong familiarity with ARM architecture
  • Good understanding of System On Chip architectural concepts
  • Experience in Power/Thermal/Performance optimizations to improve product level KPIs
  • Prior experience with AI use cases and/or products is a plus
  • Knowledge of real-time operating systems, multi-threaded processor architectures
  • Strong communication skills, effective team player, able to work independently
  • Strong analytical and problem-solving skills

Benefits For Cloud AI Power & Limits Management Staff Software Engineer

  • Competitive salary range
  • Annual discretionary bonus program
  • RSU grants
  • Comprehensive health benefits
  • Financial planning and wealth-building programs
  • Emotional/mental strength and resilience support
  • Wellbeing programs and resources

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