Qualcomm

Qualcomm

Machine Learning R&D

San Diego, California, United States of America

Sponsorship not specified$141k-$211kDetected 2 days ago
PythonJavaRESTMachine LearningTensorFlowPyTorchscikit-learnLLMsAgentic AISystems EngineeringElectrical EngineeringHardware DesignAPI TestingResearchLeadershipCommunicationProblem SolvingMentoring

About the role

  • The candidate will provide leadership by coaching others to complete tasks as well as contribute to the technical delivery of the overall project.

Responsibilities

  • Executes on the design and delivery of Agentic AI for HW design.
  • Identifies and enables the pursuit of measurably impactful technical ideas and research directions for GenAI applications in HW design.
  • Collaborates with and coaches others to complete tasks and achieve goals.
  • Manages ambiguity across situations while ensuring deadlines are met.
  • Engages with cross-functional teams to identify and deliver solutions for technical gaps and opportunities.
  • Develops effective working relationships with cross-functional and/or external stakeholders.
  • Communicates effectively with partner teams, providing timely updates on project status and expectations.
  • Stays current on AI, systems, and hardware-software advances relevant to the field of AI for chip design.

Requirements

  • Industry experience in ML/AI product development and deployment.
  • Deep knowledge of foundational model architectures and industry experience in foundation model development.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Hands-on industry expertise in Agentic AI tools, frameworks, and best practices (e.g. Codex, Claude Code, OpenCode, Langchain, Langchain, Agno).
  • Strong communication skills and ability to work collaboratively in a team environment.
  • Ability to encourage continuous improvement and alternative viewpoints to challenge ingrained practices.
  • Ability to set clear expectations.
  • Ability to provide constructive feedback to encourage skills growth
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Compensation

  • Even more importantly, please note that salary is only one component of total compensation at Qualcomm.

Benefits

  • We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).
  • In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.
  • Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
  • At least 2 years of industry experience in Machine Learning/GenAI and MLOps.

Company info

  • Qualcomm Technologies, Inc.
  • Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary:
  • Qualcomm's Applied ML R&D for HW Design team develops ML/AI or algorithmic based design tools which improve the overall chip design process and quality through NRE and/or AuC reduction or performance improvement.
  • We are an interdisciplinary team with backgrounds in Computer Science, ML/AI, Electrical Engineering, Computer Engineering, Physics, Neuroscience, Economics, and VLSI Design, united by our passion to solve challenging problems.
  • We work cross-functionally over the entire chip design process and are motivated by the chance to pursue technical innovations which provide real value to the Qualcomm product line.
  • The ultimate goal for our research is to be productized and packaged into a design tool used in the Qualcomm chip design execution process.
  • Our Careers Site is only for individuals seeking a job at Qualcomm.
  • Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited.
  • Qualcomm does not accept unsolicited resumes or applications from agencies.
  • Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location.
  • Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Equal opportunity

  • Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
  • Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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This listing is sourced directly from Qualcomm's careers page and normalized into a canonical job model.