Staff Engineer, Machine Learning Engineering ( Automation Frameworks)
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have experience in Software design?, Do you have a Master's degree?, 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++ design and implementation skills.
- Linux advanced 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 ( for example Jenkins).
- Previous experience with Docker/Kubernetes.
- 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., * 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, * 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., Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Benefits & conditions
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.
Pay range and Other Compensation & Benefits : $158,400.00 - $237,600.00
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. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. 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 .
