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Work From Home Embedded Systems Software Engineer Jobs in California

Support software integration activities involving sensors, LiDAR systems, photogrammetry, embedded ... Ability to work independently in a remote environment while supporting geographically distributed ...

Senior Software Engineer, Operator Tools

Byron, CA ยท On-site +1

$135K - $178K/yr

... with engineers from a wide variety of disciplines including embedded systems, control systems ... What You'll Work On * Desktop application development for mission planning, real-time telemetry ...

Senior Software Engineer

Palo Alto, CA ยท On-site +1

$144K - $189K/yr

At our scale, every technical decision matters -- you'll tackle complex distributed systems ... FromHome #RemoteWork #WFH #Remote #Hiring #TechJobs #EngineeringJobs #EmbeddedLinux ...

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Work From Home Embedded Systems Software Engineer information

See California salary details

$61.7K

$135.5K

$189.5K

How much do work from home embedded systems software engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for work from home embedded systems software engineer in California is $135,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $161,400.00 per year, depending on experience, location, and employer.

How do remote Embedded Systems Software Engineers typically collaborate with hardware teams when working from home?

Remote Embedded Systems Software Engineers often collaborate with hardware teams through video meetings, shared documentation, and remote access to test hardware. They may use simulation tools or connect to physical devices via VPNs to test their code. Communication is key, so regular stand-ups and clear documentation help bridge the distance. Some companies also ship prototype hardware to engineers' homes, allowing them to conduct hands-on debugging and development.

What is a Work From Home Embedded Systems Software Engineer?

A Work From Home Embedded Systems Software Engineer is a professional who designs, develops, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working remotely. These engineers use programming languages like C or C++ to create software that controls devices ranging from household appliances to industrial machines. They collaborate with teams virtually, using online tools to communicate and manage projects. Their role involves both hardware and software knowledge, as well as strong problem-solving skills.

What is the difference between Work From Home Embedded Systems Software Engineer vs Embedded Systems Firmware Developer?

AspectWork From Home Embedded Systems Software EngineerEmbedded Systems Firmware Developer
CredentialsBachelor's in Computer Engineering or related field; certifications like ARM or IoT are commonSimilar educational background; often requires knowledge of hardware-specific certifications
Work EnvironmentRemote, flexible hours, collaboration via online toolsPrimarily on-site or hybrid, working closely with hardware teams
Industry UsageUsed across IoT, consumer electronics, automotive, and industrial sectorsPrimarily in embedded hardware, automotive, aerospace, and consumer electronics

While both roles involve embedded systems development, the Work From Home Embedded Systems Software Engineer focuses on software development remotely, often integrating with hardware teams virtually. The Embedded Systems Firmware Developer typically works on low-level firmware directly on hardware, often onsite. The remote role offers flexibility, whereas the firmware developer role emphasizes hardware interaction.

What are the key skills and qualifications needed to thrive as a Work From Home Embedded Systems Software Engineer, and why are they important?

To thrive as a Work From Home Embedded Systems Software Engineer, you need a strong background in computer science or electrical engineering, proficiency in C/C++ programming, and experience with embedded systems design. Familiarity with tools like debuggers, oscilloscopes, version control systems (such as Git), and real-time operating systems (RTOS) is typically required, along with relevant certifications like Certified Embedded Systems Engineer. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help engineers stand out in this remote role. These skills and qualities ensure the efficient development, testing, and maintenance of reliable embedded solutions while collaborating effectively with distributed teams.
What are popular job titles related to Work From Home Embedded Systems Software Engineer jobs in California? For Work From Home Embedded Systems Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Work From Home Embedded Systems Software Engineer jobs in California look for? The top searched job categories for Work From Home Embedded Systems Software Engineer jobs in California are:
What cities in California are hiring for Work From Home Embedded Systems Software Engineer jobs? Cities in California with the most Work From Home Embedded Systems Software Engineer job openings:
Infographic showing various Work From Home Embedded Systems Software Engineer job openings in California as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,476 per year, or $65.1 per hour.

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 14 days ago


Job description

Company Description
Job Description
Applied AI Engineer, Work From Home
We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows. The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys. This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems. We have multiple openings for this position. This position is 100% Remote.
Applied AI Engineer Responsibilities:
- Build AI-powered product features integrated into real insurance workflows.
- Design and optimize LLM-based interactions across customer and internal systems.
- Develop prompts, reasoning flows, and structured AI outputs for production use cases.
- Evaluate model performance using real-world data, feedback loops, and experiments.
- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.
- Design and implement AI-driven automation features (chat, recommendations, decision support).
- Analyze user behavior and model responses to continuously improve AI performance.
- Collaborate with product, design, and engineering teams to ship end-to-end AI features.
- Contribute to AI system design decisions focused on usability and real-world impact.
Applied AI Engineer Outcomes
- AI features are reliable, consistent, and production-ready across workflows.
- User-facing AI interactions are intuitive and improve task completion rates.
- Model outputs are measurable, testable, and continuously improving.
- AI-driven automation reduces manual work in insurance processes.
- Product teams can safely deploy AI features with controlled behavior.
Qualifications
Applied AI Engineer Qualifications:
- Strong software engineering background in production environments.
- Experience working with LLMs (OpenAI, Anthropic, or open-source models).
- Familiarity with prompt engineering, structured outputs, and tool use patterns.
- Experience building or integrating AI features into real products.
- Strong understanding of API-based system integration.
- Ability to evaluate AI outputs critically using data and user feedback.
- Experience with experimentation, A/B testing, or evaluation frameworks.
- Strong product sense and focus on user experience.
- Comfortable working in fast-paced, globally distributed teams.
- Tech Stack: A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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Additional Information
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