Staff Engineer, Machine Learning Engineering ( Automation Frameworks

Position: Staff Engineer, Machine Learning Engineering ( Automation Frameworks)
Company:
Qualcomm Technologies, Inc.

Job Area:
Engineering Group > Machine Learning Engineering

General

Summary:

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 enable the wide deployment of intelligent solutions on all possible devices – like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge.

We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge – including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey.

In this particular role, you will work in a dynamic research environment, be 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.

The successful applicant should have a strong theoretical background and proven hands‑on experience with enabling on-device AI using modern software engineering best practices.

Must have experience and skills:

• Strong Python and C/C++ design and implementation skills.

• 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 Git Hub Actions and/or Git Lab 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.

• Java / C# programming skills.

• Experience developing visualization platforms (Dashboard, 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 related field and 5+ years of work experience in Software Engineering, Machine Learning/AI and/or Systems Engineering.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or 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 related field and 3+ years of hardware, software, or systems engineering work experience.

• OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of hardware, software, or systems engineering work experience.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e‑mail  or call Qualcomm's toll‑free number. Upon request, reasonable accommodations will be provided to support individuals with disabilities to participate in the hiring process.

EEO

Employer:

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.

Pay range: $ – $. The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. In addition to base salary, Qualcomm offers a competitive annual discretionary bonus program and RSU grants. For more information about benefits, please visit Qualcomm's US benefits page.

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