Staff Engineer, Machine Learning Engineering ( Automation Frameworks)
About The Position
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.
Requirements
- 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 GitHub Actions and/or GitLab CI.
- Strong command of databases ( SQL etc. ).
- Strong team player, communicator, presenter, mentor, and teacher.
Nice To Haves
- Familiarity with automation frameworks ( for example 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Computer and Electronic Product Manufacturing
Number of Employees
5,001-10,000 employees
