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Remote Robotics Engineer Jobs in California (NOW HIRING)

About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground ... We don't believe culture can be engineered - but when it falls into place, it's a once-in-a ...

Senior Director, AI

Bodega Bay, CA ยท On-site +1

$257K - $402K/yr

D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

UX/UI Designer

Fremont, CA ยท On-site +1

$128K - $200K/yr

... robotic systems. You will work closely with engineers, product managers, and researchers to ... This is a remote-friendly role with a preference for candidates located near one of our offices for ...

Senior System Test Engineer, Perception

San Diego, CA ยท On-site +1

$110K - $151K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... An advanced degree in Engineering, Computer Science, Robotics, or other relevant technical field OR ...

Systems Architect

Mountain View, CA ยท On-site +1

$190K - $300K/yr

We are a team of mission-driven engineers with experience across aerospace, robotics and self ... This role can be remote, or located at our facility in Mountain View, California. Must be willing ...

Technical Support Engineer

San Francisco, CA ยท On-site +1

$100K - $160K/yr

Are you a self-driven problem solver passionate about advancing robotics technology? Join our team ... Remote work is not an option. * The position is available immediately. We may use artificial ...

AI Engineer

San Francisco, CA ยท Remote

$150K - $210K/yr

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... and RPA stack, with real exception-handling and audit requirements. You will work at the ...

Technical Support Engineer

San Francisco, CA ยท On-site +1

$100K - $160K/yr

Are you a self-driven problem solver passionate about advancing robotics technology? Join our team ... Remote work is not an option. * The position is available immediately. We may use artificial ...

Senior Technical Recruiter

Fremont, CA ยท On-site +1

$122K - $190K/yr

Manage full-cycle recruiting for software and hardware engineering roles, from intake through offer ... Bonus Points * Experience recruiting within robotics, AI, autonomous systems, or other deep ...

Showing results 41-60

Remote Robotics Engineer information

See California salary details

$28.6K

$104.2K

$166.8K

How much do remote robotics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote robotics engineer in California is $104,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $125,300.00 per year, depending on experience, location, and employer.

What is a remote robotics engineer?

A Remote Robotics Engineer designs, develops, and tests robotic systems while working from a remote location. They use simulation tools, software, and cloud-based platforms to build and program robots for various industries, such as manufacturing, healthcare, and automation. Communication and collaboration with teams are typically done through video calls, online project management tools, and remote coding environments. This role requires expertise in robotics software, hardware integration, and control systems, alongside strong problem-solving skills.

What are some typical challenges a remote robotics engineer might face, and how are they addressed?

Remote Robotics Engineers often encounter challenges related to hardware access, coordination with on-site teams, and troubleshooting physical systems from a distance. To address these issues, engineers frequently utilize remote desktop tools, simulation platforms, and detailed documentation to diagnose and resolve problems without being physically present. Regular video meetings, thorough written communication, and close collaboration with on-site personnel help bridge the gap between remote and in-person work. Proactively coordinating schedules for hands-on testing and leveraging cloud-based development environments can also improve project efficiency and outcomes.

What are the key skills and qualifications needed to thrive as a remote robotics engineer, and why are they important?

To thrive as a Remote Robotics Engineer, you need a strong background in robotics engineering, programming (such as Python or C++), and experience with embedded systems, supported by a relevant degree in engineering or computer science. Familiarity with industry tools like ROS (Robot Operating System), simulation software (Gazebo or MATLAB), and version control systems (Git) is commonly required, along with relevant certifications. Strong problem-solving skills, self-motivation, effective communication, and the ability to work independently are highly valued in remote settings. These abilities ensure the successful design, testing, and deployment of robotics solutions while collaborating virtually with interdisciplinary teams.

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

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

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

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

Infographic showing various Remote Robotics Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $104,222 per year, or $50.1 per hour.

ML Infra Engineer

Humble Robotics

San Francisco, CA โ€ข On-site, Remote

Full-time

Re-posted 13 hours ago


Job description

About Humble Robotics
Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network.
We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure.
Progress has never felt so present.
Position Overview
We're looking for an ML infrastructure engineer to help design, build, and scale the foundational systems we need to realize our ambitious vision. You'll work on tooling and infrastructure that supports every stage of the ML training flywheel and be an important voice in the technical and organizational decisions that shape our work. From areas spanning vehicle compute to data collection to dataset curation to large-scale model training and deployment, help us build reliable, performant, and secure infrastructure that every team at Humble Robotics can rely on. It's fun here. We are doing cool stuff.
The ideal candidate is a first-principles thinker who is comfortable being a broad generalist. Work on every layer of the stack to help make the software iteration loop as fast and efficient as possible. We're a small team, and your input, experience, and knowledge will play a critical role in shaping every system we build, operate, and depend on to achieve our mission.
Key Responsibilities
  • Work on data collection infrastructure that moves sensor data reliably and efficiently from our vehicles into our ML platform
  • Develop batch compute pipelines for cataloging, exploring, and curating raw data into high-quality training sets
  • Design and scale distributed ML training on our GPU clusters
  • Take ownership of performance, observability, efficiency, and security across the full pipeline
  • Partner with the ML team to understand their workflows and translate them into reliable infrastructure that accelerates their work

Minimum Qualifications
  • Experience building and operating high-availability web services on cloud infrastructure
  • Experience with infrastructure-as-code and configuration management tools (we use Terraform and Ansible)
  • Experience building and maintaining CI/CD pipelines and managing deployments
  • Fluent in security fundamentals including Linux hardening, network security, and cryptographic principles
  • Hands-on experience with cluster scheduling systems for running large-scale batch computation
  • Comfortable reading, writing, and extending non-trivial code (not just scripting)
  • Eligible to work in the United States

Preferred Qualifications
  • Hands-on experience managing large, high-performance ML training clusters
  • Working knowledge of distributed training frameworks and high-performance networking for ML workloads
  • Prior infrastructure experience at an early-stage autonomous vehicle or robotics company
  • Comfort operating as an early team member-high ownership, low ego, fast iteration

Compensation
This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.
Additional Information
As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact **[email protected]** to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.