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Staff Engineer, Machine Learning Engineering ( Automation Frameworks)
Staff Engineer, Machine Learning Engineering ( Automation Frameworks)Qualcomm • San Diego, CA, United States
Staff Engineer, Machine Learning Engineering ( Automation Frameworks)

Staff Engineer, Machine Learning Engineering ( Automation Frameworks)

Qualcomm • San Diego, CA, United States
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Join to apply for the Staff Engineer, Machine Learning Engineering (Automation Frameworks) role at Qualcomm .

Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enabling the wide deployment of intelligent solutions on all possible devices – such as smartphones, laptops, autonomous vehicles, robotics and IoT devices. Qualcomm is creating building blocks for the intelligent edge.

We are part of Qualcomm AI Research, focusing on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. In this role you will work in a dynamic research environment as part of a multi‑disciplinary team of researchers and software engineers who work with cutting‑edge AI frameworks and tools. You will architect, design, develop, test, and deploy on‑ and off‑device frameworks enabling optimization.

Must Have Experience and Skills

  • Strong Python and C++ design and implementation skills.
  • Advanced Linux user.
  • Working experience with AI tools for software development.
  • Proven hands‑on experience with bash shell scripting and Linux environments.
  • Strong analytical, debugging and problem‑solving skills.
  • General knowledge in ML and Gen AI.
  • Proven hands‑on experience establishing a high‑quality software delivery process using industry best‑practices (code reviews, CI / CD, automation, etc.).
  • Strong command of GitHub Actions and / or GitLab CI.
  • Strong command of databases (SQL, etc.).
  • Strong team player, communicator, presenter, mentor, and teacher.

Preferred Experience / Skills

  • Familiarity with automation frameworks (e.g., Jenkins).
  • Previous experience with Docker / Kubernetes.
  • Experience developing visualization platforms (dashboards, UIs, etc.).
  • Experience developing cloud platforms.
  • Testing frameworks like Selenium.
  • Experience in multi‑node setups and networking.
  • Knowledge of NPUs / ML accelerators.
  • Preferred Qualifications

  • Master's and / or PhD degree in Computer Science, Engineering, Information Systems, or a related field and 5+ years of experience in Software Engineering, Machine Learning / AI, and / or Systems Engineering.
  • Minimum Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • OR Master's degree in Computer Science, Engineering, Information Systems, or a related field and 3+ years of Hardware, Software, or Systems Engineering experience.
  • OR PhD in Computer Science, Engineering, Information Systems, or a related field and 2+ years of Hardware, Software, or Systems Engineering experience.
  • Pay Range and Other Compensation & Benefits

    $158,400.00 – $237,600.00 (location dependent). This pay scale reflects the broad, minimum to maximum, pay scale for this job code for the posted location. In addition to base salary, Qualcomm offers a competitive annual discretionary bonus program and the opportunity for annual RSU grants. A highly competitive benefits package is available to support your success at work, at home, and at play.

    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.

    If you are an individual with a disability and need accommodations during the application / hiring process, you may e‑mail disability‑accommodations@qualcomm.com or call Qualcomm’s toll‑free number. Qualcomm will provide reasonable accommodations to support individuals with disabilities in the hiring process.

    To obtain more information about this role, please contact Qualcomm Careers.

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