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Remote Robotics Engineer Jobs in California (NOW HIRING)

Reliable Robotics

Sr. Guidance Engineer

Mountain View, CA · On-site +1

$215K - $300K/yr

As a Sr. Guidance Engineer at Reliable Robotics, you will be a part of the Guidance, Navigation, and Control team. You will contribute to the design, implementation, and testing of the guidance ...

Deft AI, Inc.

Systems Engineer

San Francisco, CA · On-site +1

$100K - $200K/yr

What You'll Do ● Develop and maintain core software infrastructure supporting the robot data ... remote diagnostics in deployed environments. ● Experience working with embedded Linux build ...

Humble Robotics

ML Infra Engineer

San Francisco, CA · On-site +1

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 ...

Agility Robotics

Senior Director, AI

Bodega Bay, CA · 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 ...

Waymo

Senior System Test Engineer, Perception

San Diego, CA · 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 ...

Reliable Robotics

Systems Architect

Mountain View, CA · 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 ...

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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 Sep 9, 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 are popular job titles related to Remote Robotics Engineer jobs in California?

For Remote Robotics Engineer jobs in California, the most frequently searched job titles are:

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

The top searched job categories for Remote 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:

Remote Robotics Engineer jobs near you
Infographic showing various Remote Robotics Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,222 per year, or $50.1 per hour.

Onboard AV Software Engineer

San Francisco, CA • On-site, Remote

Humble Robotics
See more jobs at Humble Roboticsexternal

Full-time

Re-posted 28 days 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 a software engineer to optimize and deploy ML models on our trucks' onboard compute, and to own performance across the full autonomous driving stack. You'll take models from our ML team and make them run fast, efficiently, and reliably on embedded GPUs-using TensorRT, custom CUDA kernels, and low-level systems engineering. Beyond inference, you'll profile and optimize the entire onboard software pipeline to meet hard real-time deadlines. This is a rare chance to bridge ML and embedded systems for production autonomous freight, with the freedom and responsibility that comes with a small team tackling a massive problem.
Key Responsibilities
  • Optimize and deploy neural network models for onboard inference using TensorRT and custom CUDA kernels
  • Profile and reduce end-to-end latency across the autonomous driving stack-from sensor ingestion to control
  • Build and maintain the onboard C++ and Rust software infrastructure, including real-time data pipelines, inter-process communication, and hardware abstraction layers
  • Implement model quantization, pruning, and other optimization techniques to maximize throughput on embedded GPU platforms
  • Collaborate with ML engineers to ensure models are designed for efficient deployment, and with vehicle systems engineers to meet real-time safety constraints

Minimum Qualifications
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field-or equivalent industry experience
  • Strong proficiency in C++ and/or Rust for performance-critical systems
  • Hands-on experience with GPU-accelerated computing-CUDA, TensorRT, or similar inference optimization toolchains
  • Familiarity with ML model architectures (transformers, CNNs) and the ability to reason about computational cost and memory footprint
  • Eligible to work in the United States

  • Experience with onboard software for autonomous vehicles, robotics, or IoT/edge devices
  • Deep knowledge of CUDA, TensorRT, model quantization, and kernel-level optimization
  • Experience with Bazel or similar build systems for complex codebases
  • Familiarity with real-time robotic systems
  • Experience profiling and optimizing full-system performance (CPU, GPU, memory, I/O) on embedded platforms
  • 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.

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