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Remote Robotics Jobs in California (NOW HIRING)

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to ... hybrid or remote role with periodic trips to HQ in Mountain View, CA. Must Haves * 2-3 years ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute ... This is a fully remote role with the option to work hybrid if a commutable distance from our Salem ...

This may include occasional remote work, starting the day with morning meetings from home before ... Passion for next-generation, scalable autonomy and robotics Don't meet every single requirement? If ...

Systems Architect

Mountain View, CA · On-site +1

$190K - $300K/yr

... Robotics. With the support of the entire team, you will be making key aircraft architectural design decisions to drive our core mission forward. This role can be remote, or located at our facility in ...

Senior Software Engineer

Mountain View, CA · On-site +1

$170K - $230K/yr

We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to ... Travel with the CEO to customer sites to learn from user feedback This role is hybrid or remote (US ...

Sr. Systems Engineer

Mountain View, CA · On-site +1

$190K - $300K/yr

As a Sr. Systems Engineer at Reliable Robotics, you will be a part of the System Development team ... This role can be remote, or located at our facility in Mountain View, California. Must be willing ...

Showing results 21-40

Remote Robotics information

See California salary details

$82.9K

$94.7K

$115K

How much do remote robotics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote robotics in California is $94,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $100,700.00 per year, depending on experience, location, and employer.

What is a remote robotics job?

A Remote Robotics job involves designing, programming, monitoring, or maintaining robotic systems from a remote location. This can include teleoperating robots, developing automation software, or troubleshooting robotic hardware via cloud-based platforms. Remote robotics professionals work in industries such as manufacturing, healthcare, aerospace, and logistics. These roles often require expertise in robotics engineering, programming, and network communications. Advances in AI and IoT have made remote robotics more accessible and crucial for automation and efficiency.

What are the key skills and qualifications needed to thrive in the remote robotics position, and why are they important?

To thrive in Remote Robotics, you need a strong foundation in robotics engineering, computer programming (especially Python, C++, or ROS), and experience with remote system monitoring and troubleshooting. Familiarity with teleoperation platforms, cloud-based control systems, and remote diagnostics tools is essential, with relevant certifications such as CSWA or ROS Developer often preferred. Excellent problem-solving skills, attention to detail, and effective communication are valuable soft skills for collaborating across distributed teams. These skills ensure you can efficiently design, monitor, and maintain robotic systems from a distance while collaborating with colleagues and clients in dynamic environments.

What are some typical challenges faced by professionals in remote robotics roles?

One of the most common challenges in Remote Robotics is troubleshooting hardware and software issues without direct, on-site access, which requires strong analytical and remote diagnostic skills. Professionals in this field often navigate time zone differences and coordinate closely with local technical staff or end users to resolve issues quickly. Effective communication and clear documentation become critical to ensure remote instructions are followed accurately. Additionally, staying up-to-date with evolving technologies and security protocols is essential for maintaining optimal system performance and data safety.

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

The most popular types of Robotics jobs in California are:

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

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

What cities in California are hiring for Remote Robotics jobs?

Cities in California with the most Remote Robotics job openings:

Infographic showing various Remote Robotics job openings in California as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 9% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,742 per year, or $45.5 per hour.

Sr. ML Ops Engineer

Mountain View, CA • On-site, Remote

Corvus Robotics
Trucking • 11 - 50 employees

$123K - $169K/yr

Full-time

Re-posted 2 days ago


Job description

About Corvus
Every physical good spends time in a warehouse, and every warehouse tracks their inventory. Today, nearly 100% of warehouses track their inventory manually using barcode scanners and climbing forklifts.
We're Corvus Robotics. Our fully autonomous Corvus One™ drones use computer vision & robotics to automatically track inventory, improving worker safety and increasing labor efficiency. We believe that data-driven, safe inventory management will optimize the global physical economy and improve economic prosperity for humanity.
About the Role
With a growing fleet of autonomous drones and an expanding customer base, we're now ready to multiply ML iteration speed and unblock more advanced ML product delivery.
We're hiring a systems-oriented Senior Software Engineer to build the data infrastructure, training pipelines, and internal tooling that our ML team needs to move faster.
Specifically in this role you will:
  • Build and maintain the data pipeline infrastructure that consolidates internal infra, labeling tools, S3, and other data sources into a unified, queryable system
  • Build tooling for dataset selection and curation that can programmatically target specific data (by environment, object type, etc.)
  • Own ML data infra from robot to training run, accessible to the ML team without backend engineering help
  • Build model evaluation and regression testing infrastructure -- real metrics, not vibes or "someone complained in prod"
  • Automate the model retuning loop for standard tasks so ML engineers can be mostly hands-off on routine updates

This is a hybrid or remote role with periodic trips to HQ in Mountain View, CA.
Must Haves
  • 2-3 years shipping real production ML infrastructure for big datasets, not just scripts
  • Experience building distributed data pipelines that consolidate multiple sources
  • Demonstrated understanding of data flow from raw collection, labeled training set, to trained models
  • Experience building systems from scratch, or contributed heavily to a small-team infra build where the playbook didn't exist
  • Ability to thrive in a startup environment with high ambiguity. You'll figure out what to build

Nice to Haves
  • Experience setting up annotation tooling and workflows
  • Background in robotics autonomy and computer vision

Experience integrating with tools like Kubeflow, SLURM, or similar for scalable training workflows