Senior Software Engineer
Motorola Solutions, Inc.
Los Angeles, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 200KJob location
Los Angeles, United States of America
Tech stack
Amazon Web Services (AWS)
JIRA
Azure
Command-Line Interface
Linux
DevOps
Python
Node.js
NoSQL
Signal Processing
Software Engineering
Cloud Platform System
Kubernetes
Docker
Requirements
- 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, * 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.
Benefits & conditions
paid holidays, 401(k), * Incentive Bonus Plans
- Medical, Dental, Visionbenefits
- 401K with Company Match
- 10 Paid Holidays
- GenerousPaidTime Off Packages
- Employee Stock Purchase Plan
- PaidParental & Family Leave
- and more!
About the company
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.
Department OverviewSilvus Technologies is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide vital communications for mission-critical applications in the harshest environments from underground tunnels to high-altitude balloons.
Silvus StreamCaster radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law Enforcement agencies, all the way to the Superbowl, Grammys, and industry-leading drone, robot, and unmanned systems manufacturers.
We're excited about the work we are doing in AI. Founded on our many years of experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc. Job Description
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