Senior Software Engineer

Motorola Solutions

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Quick summary

Work type: On-site
Location: Los Angeles, CA
Salary: $180,000–$200,000 / yr
Employment: Full-time
Posted: 61 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $164k

This role $190k

$109k $224k

below market most similar roles pay here above market

This role pays more than 83% of similar roles. Most pay $149,500–$177,781 — the blue band above. At the midpoint, this role pays about $190k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Motorola Solutions

Motorola Solutions, Inc. (NYSE: MSI) is a leading American technology company providing mission-critical communications, video security, and analytics for public safety and enterprise customers.

Motorola Solutions currently has 156 open roles on FindRole.

Listed pay typically runs $100,000–$135,000 across 120 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer

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The Senior Software Engineer joins the Silvus Technologies team to design and build data processing pipelines supporting machine learning methods for large RF datasets. This role involves managing data security and availability for data streams, distributing algorithms across cloud infrastructure, and implementing data science algorithms with real-time performance benchmarking. The engineer will collaborate with designers to ensure responsive backend services and develop reusable components to bridge research and production teams. Key technical requirements include expert knowledge in Python and NodeJS, along with experience in Linux, DevOps, Docker, Kubernetes, and AWS cloud-based infrastructure. Candidates must also be proficient with Jira or Azure DevOps. The work focuses on signal processing technology for mission-critical Mobile Ad-hoc Network radios used in harsh environments like underground tunnels or high-altitude balloons.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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Skills

Python NodeJS Linux Docker Kubernetes AWS Azure DevOps Jira NoSQL Machine Learning RF Signal Processing

What you'll do

Design and build data processing pipelines to support machine learning methods for large RF datasets.
Address data security and availability for data processed as streams.
Manage the distribution of algorithms across cloud infrastructure.
Implement data science algorithms at scale with real-time performance benchmarking and iterative improvement.
Work with designers to ensure the development of responsive backend services.
Develop reusable components to enable collaboration between research and production teams.

What we're looking for

8+ years of software engineering experience.
6+ years of experience with Python and NodeJS.
6+ years of experience with Linux, DevOps (command line), and containerized infrastructure (Docker, Kubernetes).
6+ years of experience managing projects with Jira, Azure DevOps, AWS CodeCatalyst, and/or GitHub Issues.
6+ years of experience with AWS cloud-based infrastructure.
Must be a U.S. citizen with the ability to obtain necessary security clearance.
Familiarity with relational and NoSQL databases (preferred); familiarity with RF signal processing (preferred); strong mathematics background (preferred).
Bachelors degree.

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