Machine Learning RD

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$140,800–$211,200 / yr
Posted
54 days ago
Freshness
Confirmed live 2 days ago
Closes
Jan 16, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k
This role $176k
$126k most similar roles pay here $280k

This role pays less than 83% of similar roles. Most pay $197,631–$254,750 — the shaded band above. At the midpoint, this role pays about $176k versus about $226k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 621 open roles on FindRole.

Listed pay typically runs $147,900–$222,500 across 601 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Machine Learning RD

Machine Learning RD joins the Applied ML R&D for HW Design team to provide technical execution and leadership in Machine Learning and Generative AI applications for chip design. This individual will lead an interdisciplinary team of researchers and engineers to develop Agentic AI tools, identify impactful research directions, and manage complex project pipelines from idea to execution. The role focuses on solving challenges in the chip design process by creating algorithmic-based tools that improve quality and performance. Required expertise includes foundational model architectures, embedding models, LLM post-training optimization, and MLOps. Candidates must be proficient in Python, Java, or C++, and experienced with frameworks like TensorFlow, PyTorch, and scikit-learn. Specific technical skills include hands-on experience with Agentic AI tools such as Langchain, Codex, Claude Code, OpenCode, and Agno to drive innovation in hardware design software.

What you'll do

  • Design and deliver Agentic AI solutions for hardware design processes.
  • Identify and pursue impactful research directions for Generative AI applications in chip design.
  • Lead the technical development of LLM and agentic AI post-training optimizations.
  • Manage complex machine learning software project pipelines from R&D to product deployment.
  • Coach and lead an interdisciplinary team of ML researchers, software engineers, and hardware designers.
  • Resolve technical gaps by collaborating with cross-functional teams to deliver integrated solutions.
  • Stay current on advancements in AI, systems, and hardware-software integration for chip design.

What we're looking for

  • A PhD in Computer Science, Engineering, Information Systems, or a related field is preferred.
  • A Bachelor's degree and 2 years of experience, or a Master's degree and 1 year of experience in engineering fields is accepted.
  • At least 2 years of industry experience in Machine Learning, Generative AI, and MLOps.
  • Experience in ML/AI product development, deployment, and foundation model development.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Hands-on expertise in Agentic AI tools and frameworks including Langchain or Agno.
  • Proven ability to lead technical projects, coach team members, and manage complex project timelines.

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