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Remote Firmware Engineer Jobs in California (NOW HIRING)

Sr. Product Line Leader

Newark, CA · On-site +1

$142K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

That engineering expertise positions us to power the next generation of AI workloads, from training ... Champion the on-time delivery of critical product release requirements (hardware, firmware ...

... or remote work. Our office is located in Berkeley, CA. What you'll do * Own the design ... Partner with hardware, firmware, manufacturing, and product teams to build software that integrates ...

Customer Reliability Engineer

San Francisco, CA · On-site +1

$120K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote/SF-Hybrid • Full-Time About Andromeda Andromeda gives AI companies access to the kind of ... Not all compute is equal: interconnect, networking, OEM, firmware, and cluster age all vary across ...

Showing results 41-60

Remote Firmware Engineer information

What are the key skills and qualifications needed to thrive as a remote firmware engineer?

To thrive as a Remote Firmware Engineer, you need expertise in embedded systems programming (typically in C/C++), microcontroller architectures, and debugging hardware-software interactions, often supported by a degree in electrical engineering, computer engineering, or computer science. Familiarity with tools like JTAG debuggers, in-circuit emulators, version control systems (e.g., Git), and sometimes certifications like Embedded Systems Professional are valuable. Strong problem-solving skills, effective written communication, and self-motivation help you excel in a remote setting and collaborate with distributed teams. These skills ensure reliable product development, seamless integration of hardware and software, and efficient teamwork across distances.

What does a typical day look like for a remote firmware engineer?

A typical day for a Remote Firmware Engineer often involves writing and reviewing embedded code, debugging firmware issues with hardware prototypes, and collaborating with hardware and software teams through video calls or project management tools. Engineers may spend time reading datasheets, integrating new features, and participating in code reviews to maintain code quality. Coordination with cross-functional teams, such as hardware engineers or QA, is common to ensure seamless product development. The role also includes documenting designs and troubleshooting customer-reported issues, making strong communication and time management essential for success in a remote environment.

What is a remote firmware engineer?

A Remote Firmware Engineer designs, develops, and tests low-level software (firmware) that runs on embedded systems, often working with hardware components. They collaborate with cross-functional teams to ensure seamless hardware-software integration. This role requires proficiency in programming languages like C and C++, as well as an understanding of microcontrollers, processors, and communication protocols. Working remotely, they utilize version control systems, debugging tools, and cloud-based collaboration platforms to contribute efficiently.

What are the most commonly searched types of Firmware Engineer jobs in California?

The most popular types of Firmware Engineer jobs in California are:

What job categories do people searching Remote Firmware Engineer jobs in California look for?

The top searched job categories for Remote Firmware Engineer jobs in California are:

What cities in California are hiring for Remote Firmware Engineer jobs?

Cities in California with the most Remote Firmware Engineer job openings:

Infographic showing various Remote Firmware Engineer job openings in California as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution.

AI Software Engineer Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$100 - $200/hr

Part-time

Posted 2 days ago

New


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.