At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
Would you like to join a talented group of people, doing challenging work, with the mission of “Keeping Our Heroes Connected”?
You will be designing and building data processing pipelines in support of machine learning methods that require access to large RF datasets. Your work will directly impact our customers in the form of products and services that make use of signal processing technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the workflows impacting people's lives in moments that matter.
Roles and Responsibilities
Address data security and availability of data as streams
Manage the distribution of algorithms across cloud infrastructure
Implement data science algorithms at scale with real-time performance benchmarking and iterative improvement
Collaborate with designers to ensure responsive backend services
Leverage leadership skills to develop reusable components and enable collaboration between research and production teams
Required Skills
7+ years experience as a software engineer
Expert knowledge in Python and NodeJS
Experience with Linux, DevOps (command line)
Experience with containerized infrastructure (Docker, Kubernetes)
Experience managing projects with Jira, Azure DevOps or similar tooling
Strong written and oral communication skills
Desired Skills
Familiarity with relational and NoSQL databases
Familiarity with cloud-based infrastructure: Azure and/or AWS
Familiarity with RF signal processing
Strong mathematics background, particularly in linear algebra
Familiarity with regulated environments, such as sovereign clouds
Target Base Salary Range: $180,000 USD - $200,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
As a part of the application process, we encourage you to include a link to code you’ve written.
Note: This role is 100% on-site in our Los Angeles office.
#LI-MP2
#LI-ONSITE
Bachelors degree with 8+ years of software engineering experience
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)
AND 6+ years experience managing projects with Jira or Azure DevOps
Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.
Our U.S. Benefits include:
Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave
and more!
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. 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.
We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.