Motorola Solutions · Los Angeles, United States
Join our team as a Senior Software Engineer and contribute to our mission of "Keeping Our Heroes Connected." In this role, you will design and build data processing pipelines to support machine learning methods that require access to large RF datasets. Your work will directly impact our customers through products and services that utilize signal processing technology. You will address data security and availability, manage algorithm distribution across cloud infrastructure, implement data science algorithms at scale, collaborate with designers, and leverage your leadership skills to develop reusable components.
- Experience with Linux, DevOps (command line)
- Experience managing projects with Jira, Azure DevOps or similar tooling
- Strong written and oral communication skills
- Expert knowledge in Python and NodeJS
- Experience with AWS cloud-based infrastructure
- Experience with containerized infrastructure (Docker, Kubernetes)
- 7+ years experience as a software engineer
- AND 6+ years of Python and NodeJS experience
- AND 6+ years experience with Linux, DevOps (command line)
- AND 6+ years experience with containerized infrastructure (Docker, Kubernetes)
- Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract
- AND 6+ years experience managing projects with Jira, Azure DevOps, AWS CodeCatalyst, and/or GitHub Issues
- Bachelors degree with 8+ years of software engineering experience
- AND 6+ year experience with AWS cloud-based infrastructure
- If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team
- Familiarity with relational and NoSQL databases
- Familiarity with regulated environments, such as sovereign clouds
- Familiarity with RF signal processing
- Strong mathematics background, particularly in linear algebra
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