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Embedded Software Engineer Part Time Jobs in New York

Software Engineer The Opportunity: As a full-stack developer, you can resolve a problem with a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Embedded Software Engineer Part Time information

See New York salary details

$76.6K

$167.8K

$190.4K

How much do embedded software engineer part time jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded software engineer part time in New York is $167,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,900.00 and $189,300.00 per year, depending on experience, location, and employer.

What is an embedded software engineer?

A Part-Time Embedded Software Engineer designs, develops, and tests software for embedded systems while working fewer hours than a full-time role. Responsibilities typically include coding in languages like C or C++, debugging firmware, and collaborating with hardware teams. Part-time roles may be project-based, remote, or flexible in schedule. Companies hire part-time engineers to support development efforts without requiring a full-time commitment. This role is ideal for professionals seeking work-life balance or supplementary experience.

What does an embedded software engineer do?

As a part-time Embedded Software Engineer, your responsibilities often include writing and testing firmware, debugging hardware-software interactions, and supporting the integration of embedded systems into products. Part-time engineers usually work on specific project phases or support ongoing development efforts, collaborating closely with hardware engineers, product managers, and quality assurance teams. While hours may be flexible, clear communication and timely task completion are crucial for synchronizing work with full-time team members. This role offers the opportunity to tackle challenging technical problems while balancing career, education, or personal commitments.

What are the key skills and qualifications needed to thrive as an embedded software engineer?

To thrive as an Embedded Software Engineer Part Time, you need strong programming skills in C/C++, understanding of embedded systems, experience with hardware interfacing, and a relevant engineering or computer science background. Familiarity with development tools like debuggers, oscilloscopes, and version control systems, as well as industry certifications such as Certified Embedded Systems Engineer (CESE), is often beneficial. Effective communication, troubleshooting ability, and time management are key soft skills for part-time engineers who frequently collaborate with cross-functional teams under tight schedules. These skills ensure reliable product development, efficient problem-solving, and smooth collaboration in dynamic and often resource-constrained environments.

What are the most commonly searched types of Embedded Software Engineer jobs in New York?

The most popular types of Embedded Software Engineer jobs in New York are:

What are popular job titles related to Embedded Software Engineer Part Time jobs in New York?

For Embedded Software Engineer Part Time jobs in New York, the most frequently searched job titles are:

What job categories do people searching Embedded Software Engineer Part Time jobs in New York look for?

The top searched job categories for Embedded Software Engineer Part Time jobs in New York are:

What cities in New York are hiring for Embedded Software Engineer Part Time jobs?

Cities in New York with the most Embedded Software Engineer Part Time job openings:

Infographic showing various Embedded Software Engineer Part Time job openings in New York as of August 2026, with employment types broken down into 100% Part Time. Highlights an 87% In-person, 6% Hybrid, and 7% Remote job distribution, with an average salary of $167,807 per year, or $80.7 per hour.

AI Software Engineer Expert - Remote

YO AI Labs

New York, NY โ€ข Remote

$100 - $200/hr

Part-time

Posted 10 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.