Senior Research Engineer for On-Device LLM Efficiency

A leading technology innovator that pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation.
$179,000 - $268,600
Machine Learning
Senior Software Engineer
In-Person
5000+ Employees
4+ years of experience
AI

Description For Senior Research Engineer for On-Device LLM Efficiency

Qualcomm Technologies, Inc. is seeking a Senior Research Engineer to join their team focusing on On-Device LLM Efficiency. This role represents an exciting opportunity to work at the forefront of AI innovation, specifically in optimizing large language models for device-level implementation.

The position combines cutting-edge research with practical engineering applications, requiring expertise in both theoretical machine learning and hands-on implementation. As a Senior Research Engineer, you'll be responsible for developing innovative solutions for LLM inference and decoding efficiency, while considering the unique constraints and challenges of on-device deployment.

The ideal candidate will bring a strong foundation in computer science and deep learning, complemented by practical experience in LLM optimization and acceleration. You'll work alongside world-class researchers and engineers, contributing to groundbreaking research while implementing solutions that impact millions of devices globally.

Qualcomm offers an environment that promotes innovation and professional growth, backed by competitive compensation including base salary, annual bonuses, and equity grants. The company's comprehensive benefits package supports both professional development and personal wellbeing, including medical coverage, continuous learning programs, and mentorship opportunities.

This role presents a unique opportunity to shape the future of on-device AI while working for a global leader in mobile technologies. You'll be at the intersection of research and practical implementation, contributing to publications while developing solutions that advance the field of efficient AI computing.

The position requires a combination of technical expertise, research acumen, and practical problem-solving skills. You'll be expected to balance theoretical research with practical implementation, ensuring solutions are both innovative and deployable in real-world scenarios. This role offers the chance to work on challenging problems while contributing to the advancement of AI technology in mobile and edge devices.

Last updated a month ago

Responsibilities For Senior Research Engineer for On-Device LLM Efficiency

  • Research and engineering on efficiency of LLM inference and decoding
  • Generation of creative solutions with consideration of practical challenges and restrictions on devices
  • Implementation and evaluation of possible solutions in both simulation and on-device environments
  • Contribution to research paper publications

Requirements For Senior Research Engineer for On-Device LLM Efficiency

Python
  • Master's degree in AI, Computer Science, Engineering, Information Systems, or related field and 3+ years of machine learning research experience
  • Strong background in computer science and deep learning basics
  • Strong programming skills in Python and PyTorch
  • Experience in LLM reasoning or inference acceleration research

Benefits For Senior Research Engineer for On-Device LLM Efficiency

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
  • Competitive annual discretionary bonus program
  • Annual RSU grants
  • Comprehensive benefits package
  • Medical coverage
  • Tuition reimbursement
  • Mentorship programs
  • Continuous learning and development programs

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