Remote Software Engineer — AI Models & Enablement

Motorola Solutions; Philadelphia (Philadelphia County); Remote; USD 95,000 - 105,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical Benefits

Dental Benefits

Vision Benefits

401K with Company Match

Paid Holidays

Paid Time Off

Stock Purchase Plan

Parental & Family Leave

Job summary

Motorola Solutions is seeking a Software Engineer to design, develop, and optimize enablement applications for deployment engineering resources using AI models and algorithms. You will work on modern development languages, applying strong software engineering principles and experience with large language models.

The role emphasizes translating AI/ML models into efficient code, creating tests, participating in code reviews, and staying current with AI advancements in a security-conscious

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field is required or equivalent experience.
• 2-5 years of software development experience with emphasis on performance optimization.
• Experience implementing and deploying AI models is highly desired.
• Proficiency in Python and/or JavaScript for scripting and tooling.

Responsibilities

• Design, develop, and test high-performance modern code for implementing AI models.
• Translate AI/ML models into efficient implementations.
• Develop and maintain unit and integration tests.
• Participate in code reviews and contribute to best practices and documentation.
• Stay up-to-date with the latest advancements in AI and LLM systems.

Skills

Python

JavaScript

Performance optimization

Unit testing

Debugging

Communication

Problem solving

Education

Bachelor's degree in Computer Science

Masters degree (plus)

Tools

Git

GitHub Actions

Azure DevOps

n8n

Embedded Linux

Job description

Motorola Solutions is seeking a Software Engineer to design, develop, and optimize enablement applications for deployment engineering resources using AI models and algorithms. You will work on modern development languages, applying strong software engineering principles and experience with large language models.

The role emphasizes translating AI/ML models into efficient code, creating tests, participating in code reviews, and staying current with AI advancements in a security-conscious