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Part Time Embedded Software Jobs in Long Island, NY

TripleTen

FDE Instructor (Part-time)

New York, NY · On-site +1

They've shipped real software for years and are moving deliberately into forward-deployed AI work ... Has worked embedded with a customer team as their primary technical resource, or held a customer ...

New

TripleTen

FDE Teaching Expert (Part-time)

New York, NY · Remote

They've shipped real software for years and are moving deliberately into forward-deployed AI work ... Has worked embedded within a customer team as their primary technical resource, or held a customer ...

New

Fora

Engineering Manager, Platform

New York, NY · On-site

Oversee relationships with contractors and embedded vendor resources, ensuring work is well-scoped ... software or infrastructure engineering, with meaningful depth in platform, DevOps, or ...

All JobsEmbedded Software JobsPart Time Embedded Software JobsPart Time Embedded Software Jobs in Long Island, NY

Part Time Embedded Software information

See Long Island, NY salary details

$71.2K

$156K

$177K

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

As of Aug 12, 2026, the average yearly pay for part time embedded software in Long Island, NY is $155,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,700.00 and $175,900.00 per year, depending on experience, location, and employer.

What is a part time embedded software engineer?

A Part Time Embedded Software Engineer is a professional who works less than full-time hours to develop, test, and maintain software that runs on embedded systems. These systems are specialized computing devices found in products like cars, home appliances, and medical devices. Part time roles often offer flexible schedules, allowing engineers to balance work with other commitments while contributing to software development, debugging, and hardware integration. Responsibilities can vary depending on the employer's needs and the project requirements.

What is the difference between Part Time Embedded Software vs Part Time Firmware Engineer?

AspectPart Time Embedded SoftwarePart Time Firmware Engineer
Required SkillsProgramming (C, C++), RTOS, hardware integrationEmbedded C, microcontrollers, hardware debugging
Work EnvironmentHardware labs, development teams, product testingMicrocontroller programming, hardware testing, prototyping
Industry UsageConsumer electronics, automotive, medical devicesConsumer electronics, IoT devices, industrial equipment

Part Time Embedded Software focuses on developing software that runs on embedded systems, often involving real-time operating systems and hardware integration. Part Time Firmware Engineer specializes in programming firmware directly into microcontrollers or hardware components. While both roles require similar skills and work environments, Embedded Software may encompass broader software development, whereas Firmware Engineering is more hardware-specific.

What are the key skills and qualifications needed to thrive as a part time embedded software engineer, and why are they important?

To thrive as a Part Time Embedded Software Engineer, you need a solid background in computer science or electrical engineering, with proficiency in C/C++ programming and understanding of embedded systems fundamentals. Familiarity with microcontroller development environments, real-time operating systems (RTOS), and tools such as debuggers and version control (e.g., Git) is typically required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills for collaborating with teams and managing time efficiently. These skills and qualifications are important to ensure reliable, efficient development and maintenance of embedded systems within limited work hours.

How does a part time embedded software engineer typically collaborate with full time team members and manage project handoffs?

As a part-time embedded software engineer, you will often coordinate closely with full-time team members to ensure smooth progress on projects. This typically involves regular status updates, clear documentation of your contributions, and participating in team meetings, often virtually. Since embedded software development can require deep integration with hardware teams, proactive communication and thorough handoff notes are crucial to avoid delays or misunderstandings. Many organizations use agile methodologies and version control systems, which help keep part-time contributors aligned with project goals and timelines.
What are the most commonly searched types of Embedded Software jobs in Long Island, NY? The most popular types of Embedded Software jobs in Long Island, NY are:
What are popular job titles related to Part Time Embedded Software jobs in Long Island, NY? For Part Time Embedded Software jobs in Long Island, NY, the most frequently searched job titles are:
What cities near Long Island, NY are hiring for Part Time Embedded Software jobs? Cities near Long Island, NY with the most Part Time Embedded Software job openings:
Part Time Embedded Software jobs near you
Infographic showing various Part Time Embedded Software job openings in Long Island, NY as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $155,985 per year, or $75 per hour.

FDE Instructor (Part-time)

TripleTen

New York, NY • On-site, Remote

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Description
TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching complete beginners - people with no prior tech background - through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed, and we serve a large, active student base across both regions.
We're looking for the person who brings a Forward Deployed Engineering curriculum to life for students: hosts the group live events, reviews the work, runs the solution design and delivery reviews, and sets the technical bar for the people supporting alongside you. The curriculum is built by a team of senior authors.
This is a teaching and review role. You'll be the senior technical presence students learn from week to week. You'll run group live events, give real engineering feedback on student deployment deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually gone into client environments and carried AI deployments to production, has opinions about what a sound deployment looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: Working production engineers, not career changers. Six to fifteen years in, mostly backend, with senior and staff engineers and the occasional engineering manager in the room. They've shipped real software for years and are moving deliberately into forward-deployed AI work; some are already interviewing for FDE roles while they study. What they're missing is agentic systems and the client-facing half of delivery.
Format: Group live events, 1:1s, and workshops timed around US Eastern Time - mostly 2:00 PM to 9:00 PM ET. Estimated 15 to 25 hrs/week.
Please submit all resumes or CVs in English.
What you will do
  • Host live events focused on deploying AI systems inside a client's environment: discovery and scoping, agentic architecture, integration with enterprise systems, rollout, and adoption
  • Run 1:1 sessions and tech mock interviews for students working through projects
  • Review student projects against rubrics, including the client-facing side of the work: scoping decisions, demos, and how they explain a system to a non-technical stakeholder
  • Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point

Requirements
  • 7+ years of professional engineering experience, currently working at senior level or above (Senior/Lead/Staff Engineer, Forward Deployed Engineer, Solutions Architect, or technical lead on customer-facing delivery)
  • Has personally owned deployments end to end in real client or enterprise environments - first call through production go-live and adoption
  • Depth across the FDE spine: customer discovery and design sessions, scoping and delivery planning under ambiguity, stakeholder management without formal authority; LLM and agent systems in production (prompting, tool/function calling, orchestration frameworks such as LangGraph/LangChain/CrewAI, guardrails, evals, RAG over enterprise data); APIs and integrations (REST, webhooks, JSON/GraphQL), Python, and deployment on at least one major cloud
  • Can explain why an architecture or scoping decision was made, not just how it was implemented, and can diagnose and critique someone else's work live
  • Strong technical communication: translating between technical and business audiences, comfortable leading a live session, whiteboarding a solution, and writing clear, specific review feedback
  • Strong English C1+ - instruction and review are in English for a US-based audience
  • Comfortable using AI tools in day-to-day technical work

Preferred experience:
  • Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction
  • Has worked embedded with a customer team as their primary technical resource, or held a customer-facing engineering role (solutions engineer, solutions architect, technical consultant)
  • Production experience with agentic frameworks (LangGraph, LangChain, CrewAI) and MCP-based tool integrations into client systems
  • Work experience at a recognizable company
  • Familiarity with online education platforms or running programs

What we can offer you
  • Fully remote work, with live sessions scheduled within US afternoon and evening hours.
  • A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
  • Professional trust and autonomy: no micromanaging.
  • A diverse, international, close-knit team excited to work with you!

Apply