Senior Research Scientist, AI Accelerator Design and VLSI
Nvidia
At a glance
AI generatedAs a Qualcomm Machine Learning Researcher, you will join the cutting-edge research team at Qualcomm Technologies to develop innovative machine learning methodologies that surpass current state-of-the-art performance in large language model (LLM) inference efficiency algorithms and efficient model architecture design. Your day-to-day responsibilities include researching and implementing creative solutions for practical challenges on devices, evaluating these solutions through simulation and real-world testing, and collaborating with cross-functional teams to enhance mobile, edge, auto, and IoT products. The ideal candidate has a strong background in deep learning and Transformers, along with extensive experience in Python and PyTorch, and preferred qualifications include PhD-level research expertise, LLM efficiency research, on-device AI deployment, and top-tier conference publications.
Skills
What you'll do
What we're looking for
Market check
This $159,100–$238,700 range sits above 33% of similar postings on FindRole.
Peer median band
$184,000–$262,400
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$186,200–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 595 open roles on FindRole.
Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.
Most-posted roles
More like this
Nvidia
Equifax
Qualcomm
Cisco
Adobe
Intuit