ZipRecruiter

Log In

2

Remote Robotics Engineer Localization Jobs in California

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 ...

Ambi Robotics

Senior Field Engineer

Berkeley, CA · Remote

$120K - $140K/yr

Ambi Robotics builds and operates production AI-powered robotic systems that run 24/7 in customer ... Develop and improve tooling, diagnostics, and remote infrastructure to ensure fleet excellence You ...

Ambi Robotics

Senior Field Engineer

Berkeley, CA · Remote

$120K - $140K/yr

Ambi Robotics builds and operates production AI-powered robotic systems that run 24/7 in customer ... Develop and improve tooling, diagnostics, and remote infrastructure to ensure fleet excellence You ...

Reliable Robotics

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 ...

AeroVect

Infrastructure Engineer

South San Francisco, CA · On-site +1

$129K - $169K/yr

... localization, motion planning, and control capabilities for a range of airport driving scenarios ... Familiarity with robotics software and middleware like ROS * Startup Experience Additional ...

Corvus Robotics

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 ...

Cyngn

Field Service Engineer

Mountain View, CA · On-site +1

$90K - $108K/yr

We aren't robots. We just develop them. We're a welcoming, diverse team of sharp thinkers and kind ... Proficiency with Linux terminal, remote troubleshooting, and basic shell scripting. * Strong hands ...

Cyngn

Field Service Engineer

Mountain View, CA · On-site +1

We aren't robots. We just develop them. We're a welcoming, diverse team of sharp thinkers and kind ... Proficiency with Linux terminal, remote troubleshooting, and basic shell scripting. * Strong hands ...

next page

Showing results 1-20

All JobsRobotics Engineer Localization JobsRemote Robotics Engineer Localization JobsRemote Robotics Engineer Localization Jobs in California

Remote Robotics Engineer Localization information

What are the key skills and qualifications needed to thrive as a Remote Robotics Engineer specializing in Localization, and why are they important?

To excel as a Remote Robotics Engineer in Localization, you need a solid background in robotics, computer science, and mathematics, often supported by a relevant degree and experience in localization algorithms. Proficiency with tools like ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping) frameworks, and simulation environments such as Gazebo is typically required. Strong problem-solving, communication, and self-management skills are essential for collaborating effectively across distributed teams. These competencies ensure accurate robot navigation, successful project execution, and seamless remote teamwork in this technically demanding field.

What are Remote Robotics Engineer Localization jobs?

Remote Robotics Engineer Localization jobs involve developing and implementing algorithms and systems that enable robots to determine their position and orientation within an environment, all while working remotely. These engineers typically work on projects related to autonomous vehicles, drones, or industrial robots, focusing on technologies such as SLAM (Simultaneous Localization and Mapping), GPS, and sensor fusion. Their responsibilities can include software development, simulation, data analysis, and integration of localization solutions into robotic platforms. The remote aspect allows these professionals to collaborate with teams and deploy code from anywhere, often using virtual environments and remote access to robotic systems.

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

AspectRemote Robotics Engineer LocalizationRemote Robotics Technician
CredentialsBachelor's or higher in Robotics, Engineering, or related fields; certifications like ROS or embedded systemsTechnical diploma or associate degree; certifications in robotics or automation
Work EnvironmentDesign, development, and testing of robotic systems remotely; collaboration with engineering teamsMaintenance, troubleshooting, and installation of robotic systems remotely or on-site
Industry UsageUsed in robotics development companies, research labs, and manufacturingCommon in manufacturing plants, automation services, and technical support

Remote Robotics Engineer Localization focuses on designing and developing robotic systems remotely, requiring advanced engineering skills. In contrast, Remote Robotics Technician handles installation, maintenance, and troubleshooting, often with more hands-on tasks. Both roles are essential in the robotics industry but differ in responsibilities and required expertise.

How does a Remote Robotics Engineer specializing in Localization typically collaborate with cross-functional teams to ensure accurate robot navigation?

As a Remote Robotics Engineer focused on localization, you’ll frequently collaborate with software developers, hardware engineers, and data scientists to integrate and refine localization algorithms. Communication often involves regular virtual meetings, code reviews, and collaborative troubleshooting sessions to align system updates and deployment strategies. You’ll also work closely with QA teams to validate performance in diverse environments and may contribute to documentation to facilitate seamless integration across the robotics platform. This cross-functional teamwork is essential to ensure that robots can accurately determine their position and navigate reliably in real-world scenarios.
What are the most commonly searched types of Robotics Engineer Localization jobs in California? The most popular types of Robotics Engineer Localization jobs in California are:
What are popular job titles related to Remote Robotics Engineer Localization jobs in California? For Remote Robotics Engineer Localization jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Robotics Engineer Localization jobs in California look for? The top searched job categories for Remote Robotics Engineer Localization jobs in California are:
What cities in California are hiring for Remote Robotics Engineer Localization jobs? Cities in California with the most Remote Robotics Engineer Localization job openings:
Remote Robotics Engineer Localization jobs near you
Sr. ML Ops Engineer

Sr. ML Ops Engineer

Corvus Robotics

Mountain View, CA • On-site, Remote

$123K - $169K/yr

Full-time

Posted 28 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