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Senior Software Engineer
Motorola Solutions · Los Angeles, United States
About The Role
Join a talented team as a Senior Software Engineer, where you'll design and build data processing pipelines for machine learning methods. Your work will directly impact customers through products and services that utilize signal processing technology. You'll address data security and availability, manage algorithm distribution across cloud infrastructure, and implement data science algorithms at scale. This role offers flexible work models, paid time off, health care benefits, and more.
- Design and build data processing pipelines to support machine learning methods that require access to large RF datasets.
- Manage the distribution of algorithms across cloud infrastructure and implement data science algorithms at scale.
- Collaborate with designers to ensure responsive backend services and leverage leadership skills to develop reusable components.
- Experience with Linux, DevOps (command line)
- 7+ years experience as a software engineer
- Strong written and oral communication skills
- Experience managing projects with Jira, Azure DevOps or similar tooling
- Experience with containerized infrastructure (Docker, Kubernetes)
- Expert knowledge in Python and NodeJS
- Familiarity with RF signal processing
- Familiarity with cloud-based infrastructure: Azure and/or AWS
- AND 6+ years of Python and NodeJS experience
- 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 or Azure DevOps
- AND 6+ years experience with containerized infrastructure (Docker, Kubernetes)
- Strong mathematics background, particularly in linear algebra
- Familiarity with relational and NoSQL databases
- AND 6+ years experience with Linux, DevOps (command line)
- Bachelors degree with 8+ years of software engineering experience
- Familiarity with regulated environments, such as sovereign clouds
- 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
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