Careers
Quick summary
- Work type
- On-site
- Location
- San Diego, CA
- Posted
- 32 days ago
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.
Based on 239 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 749 open roles on FindRole.
Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.
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At a glance
TL;DR · Careers
As a Senior Machine Learning Engineer on the Automation Frameworks team, you will be responsible for architecting, designing, developing, testing, and deploying both on- and off-device frameworks to optimize machine learning and generative AI models. Your day-to-day tasks will involve leveraging Python and C++ to create robust software solutions while ensuring high-quality delivery through best practices such as code reviews, CI/CD pipelines, and automation tools like GitHub Actions or GitLab CI. You must possess strong analytical skills, be proficient in Linux environments, and have hands-on experience with AI development tools. Preferred candidates will also have familiarity with Jenkins, Docker/Kubernetes, bash scripting, and visualization platforms, along with knowledge of NPUs and ML accelerators. This role requires a deep understanding of software engineering principles and the ability to work effectively within a collaborative team environment.
Skills
What you'll do
- Design and implement machine learning frameworks using Python and C++.
- Develop and optimize AI models for both on-device and off-device use cases.
- Establish high-quality software delivery processes with CI/CD pipelines.
- Debug complex issues and enhance performance of ML systems.
- Automate testing and deployment workflows using GitHub Actions or GitLab CI.
- Collaborate on multi-node setups and networking configurations for ML projects.
What we're looking for
- Strong Python and C++ design and implementation skills.
- Extensive hands-on knowledge in ML and generative AI models.
- Expertise in establishing high-quality software delivery processes using best practices.
- Proficient in GitHub Actions or GitLab CI for automation.
- Advanced Linux user with strong analytical and problem-solving abilities.
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