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Remote Embedded Systems Jobs in California (NOW HIRING)

Deft AI, Inc.

Systems Engineer

San Francisco, CA · On-site +1

$100K - $200K/yr

... remote diagnostics in deployed environments. ● Experience working with embedded Linux build systems such as Yocto or similar tools. ● Evidence of building or contributing to complex systems ...

CoreWeave

Senior Firmware Engineer

Sunnyvale, CA · On-site +1

$153K - $242K/yr

Proficiency in C/C++ for embedded systems. * Familiarity with hardware interfaces and protocols ... Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles. * Basic ...

Brex

Staff Product Manager, Embedded

San Francisco, CA · On-site +1

$280K - $350K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the ... Technical fluency in APIs, data models, distributed or financial systems, and architecture ...

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What is the difference between Remote Embedded Systems vs Remote Firmware Engineer?

AspectRemote Embedded SystemsRemote Firmware Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related; knowledge of embedded hardware and softwareBachelor's in Electrical Engineering, Computer Engineering, or related; expertise in firmware development and microcontroller programming
Work EnvironmentDesigning, developing, and testing embedded hardware/software systems remotelyWriting, testing, and debugging firmware for embedded devices remotely
Employer & Industry UsageElectronics, automotive, IoT, consumer devicesConsumer electronics, IoT, industrial automation

Remote Embedded Systems professionals focus on designing and integrating embedded hardware and software, while Remote Firmware Engineers specialize in developing firmware for microcontrollers and embedded chips. Both roles require similar technical skills and often overlap, but their core responsibilities differ in scope and focus.

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Remote Embedded Systems jobs near you
Infographic showing various Remote Embedded Systems job openings in California as of September 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Robotics/Mechatronics Expert - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 15 days ago

Job description

Job Title: Robotics & Mechatronics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Robotics and Mechatronics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will apply your engineering knowledge to real-world robotics and mechatronics challenges while demonstrating how advanced AI coding agents can support complex technical workflows.

The ideal candidate combines hands-on expertise in robotics, mechatronics, system design, and engineering problem-solving with practical experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork.

No prior experience in AI training is required—your domain expertise, technical judgment, and ability to apply AI agents to sophisticated engineering problems are what matter most.

Scope of Work
  • Analyze and solve practical robotics and mechatronics problems using advanced AI coding agents.
  • Design, implement, test, and document solutions to challenging technical scenarios involving robotics and mechatronic systems.
  • Demonstrate how AI agents can be applied to complex, ambiguous, or large-scale engineering problems.
  • Use AI coding agents for tasks such as navigating large codebases, debugging complex issues, developing features, and optimizing technical workflows.
  • Document agent-driven workflows, including the technical context, decisions, prompts or instructions, generated code sequences, iterations, and outcomes.
  • Evaluate AI-generated solutions for technical correctness, reliability, maintainability, and practical engineering relevance.
  • Provide structured written and verbal feedback on AI agent performance, usability, limitations, and effectiveness.
  • Contribute real-world examples involving end-to-end feature development, system design, architectural changes, debugging, and workflow automation.
  • Collaborate remotely with project stakeholders to identify opportunities for using AI agents to accelerate robotics and mechatronics development.
Required Skills
  • Robotics
  • Mechatronics
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • System Design
  • Debugging Complex Codebases
  • End-to-End Feature Development
  • Technical Documentation
  • Problem-Solving
  • Written and Verbal Communication
  • Remote Collaboration
Preferred Qualifications
  • Current or recent professional experience in robotics, mechatronics, automation, controls, embedded systems, or a related STEM discipline.
  • Demonstrated hands-on experience with robotics or mechatronics projects involving software, hardware, control systems, sensors, actuators, or system integration.
  • Proven experience using Codex, Claude Science, Claude Code, and Claude Cowork to generate and execute multi-step code sequences for real-world engineering applications.
  • Experience applying AI coding agents beyond simple code generation, including debugging, system design, architecture, optimization, testing, and technical workflow automation.
  • Experience working with large or complex codebases and implementing end-to-end technical features.
  • Familiarity with major architectural changes, refactoring, system integration, and troubleshooting complex engineering software.
  • Ability to clearly document technical workflows and explain how AI agents contributed to engineering decisions and outcomes.
  • Strong written and verbal communication skills with the ability to communicate complex technical concepts clearly.
  • Experience working independently in remote, collaborative engineering environments.
  • Ability to provide concrete examples demonstrating how AI agentic workflows have improved technical problem-solving, development speed, or engineering productivity.