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Remote Surgical Robotics Engineer Jobs (NOW HIRING)

Corvus Robotics

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 ...

Kraken Robotics

Software Developer Level 2, SAS

Kraken Robotics is currently seeking a Software Developer Level II , SAS to join our team in the United States. This position could be Remote, US or in one of our US Offices. The Software Developer ...

Symmetrio

Medical Training and Education Lead

San Diego, CA · On-site +1

$125K - $150K/yr

... service engineers, and other internal stakeholders. * Ensure field teams can effectively ... Experience in medical device training, clinical education, surgical robotics, navigation, enabling ...

Carbon Robotics

Wiring Harness Engineer

Seattle, WA · On-site +1

$125K - $150K/yr

... remote supervision for real-time interventions if required. Carbon Robotics is based in Seattle ... YouTube | X | Instagram | LinkedIn | News As a Wiring Harness Engineer at Carbon Robotics be a key ...

Serve Robotics

Remote Supervision Coordinator

Miami, FL · On-site +1

$55K - $64K/yr

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is ... Coordinate with internal operations, engineering, and support teams to escalate issues, communicate ...

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Remote Surgical Robotics Engineer information

See salary details

$29K

$105.6K

$169K

How much do remote surgical robotics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote surgical robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Surgical Robotics Engineer vs Surgical Robotics Technician?

AspectRemote Surgical Robotics EngineerSurgical Robotics Technician
Required CredentialsBachelor's or higher in engineering, certifications in robotics or medical devicesAssociate's or technical diploma, certifications in surgical robotics maintenance
Work EnvironmentDesign, develop, and test robotic systems remotely or in labsInstall, troubleshoot, and maintain surgical robots on-site in hospitals or clinics
Employer & Industry UsageMedical device companies, research institutions, hospitalsHospitals, surgical centers, medical equipment service providers

The Remote Surgical Robotics Engineer focuses on designing and developing robotic systems remotely, often working in labs or offices. In contrast, the Surgical Robotics Technician primarily handles installation, maintenance, and troubleshooting of surgical robots on-site. Both roles require specialized certifications, but their work environments and daily tasks differ significantly.

More about Remote Surgical Robotics Engineer jobs

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Remote Surgical Robotics Engineer jobs near you
Infographic showing various Remote Surgical Robotics Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Sr. ML Ops Engineer

Corvus Robotics

Mountain View, CA • On-site, Remote

$123K - $169K/yr

Full-time

Re-posted 9 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

Apply