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Manager Robotics Engineer Localization Jobs in San Francisco, CA

Robotics Engineer

San Francisco, CA · On-site

$150 - $200/hr

This is a role for an engineer who wants their code running on physical robots in customer ... Develop and harden core autonomy: 3D SLAM and navigation, localization, dynamic obstacle handling ...

New

You'll work on the platform that manages product content, translation workflows, and localization infrastructure across our products. This role sits at the intersection of AI systems, developer ...

Great people don't need to be managed. * Speed. We achieve great things on incredible timelines. We ... As Lead Robotics Engineer, you are the founding technical lead for this discipline, and you own the ...

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Manager Robotics Engineer Localization information

See San Francisco, CA salary details

$34.2K

$124.4K

$199.1K

How much do manager robotics engineer localization jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager robotics engineer localization in San Francisco, CA is $124,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $149,600.00 per year, depending on experience, location, and employer.

What does a manager robotics engineer localization do?

A Manager Robotics Engineer Localization leads teams that develop and refine the technology enabling robots to determine their precise position and orientation in various environments. This role involves overseeing projects focused on algorithms and systems for mapping, navigation, and sensor fusion. The manager collaborates with engineers and cross-functional teams to ensure robust and efficient localization solutions for robotic applications, such as autonomous vehicles or warehouse automation. Responsibilities also include mentoring staff, setting technical direction, and ensuring projects meet performance and safety standards.

What are the key skills and qualifications needed to thrive as a manager robotics engineer localization?

To thrive as a Manager Robotics Engineer Localization, you need expertise in robotics, localization algorithms (such as SLAM), and a relevant engineering degree, often paired with experience in project or team management. Familiarity with ROS (Robot Operating System), C++/Python programming, and simulation tools like Gazebo, as well as certifications in robotics or project management, are commonly required. Strong leadership, effective communication, and problem-solving abilities help you lead teams and coordinate complex, multidisciplinary projects. These skills ensure the successful development and deployment of accurate localization solutions in robotics systems, driving innovation and team performance.

What are some common challenges faced by a manager robotics engineer localization, and how can they be addressed?

Managers in robotics engineering localization often encounter challenges such as integrating localization algorithms with real-world sensor data, ensuring robust performance in diverse environments, and managing cross-functional teams with varied expertise. Addressing these challenges requires strong communication skills, proactive problem-solving, and fostering close collaboration between software developers, hardware engineers, and research scientists. Regular team meetings, continuous testing in different scenarios, and investing in professional development can help ensure successful project outcomes and innovation in localization solutions.

What is the difference between Manager Robotics Engineer Localization vs Robotics Engineer Localization?

AspectManager Robotics Engineer LocalizationRobotics Engineer Localization
CredentialsBachelor's/Master's in Robotics, Engineering, or related; leadership experienceBachelor's/Master's in Robotics, Mechanical, Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, development, testing of localization systems
Employer & Industry UsageRobotics companies, tech firms, manufacturingRobotics development, research labs, automation firms

The Manager Robotics Engineer Localization oversees localization projects, manages teams, and aligns strategies with company goals. In contrast, the Robotics Engineer Localization focuses on technical development and implementation of localization systems. Both roles require engineering expertise, but the manager role emphasizes leadership and project oversight.

What are the most commonly searched types of Robotics Engineer Localization jobs in San Francisco, CA?

The most popular types of Robotics Engineer Localization jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Manager Robotics Engineer Localization jobs?

Cities near San Francisco, CA with the most Manager Robotics Engineer Localization job openings:

Robotics Engineer

Openmind

San Francisco, CA • On-site

$150 - $200/hr

Other

Posted 3 days ago

New


Job description

The Role

You will make robots work. OpenMind supports multiple platforms today, from quadrupeds to full-size humanoids, and now our own robots are here. You will own core autonomy capabilities across perception, SLAM, navigation, and manipulation, and you will bring up new hardware platforms from unboxing to deployment-ready.

This is a role for an engineer who wants their code running on physical robots in customer environments, not in a simulator queue.

What You Will Do
  • Develop and harden core autonomy: 3D SLAM and navigation, localization, dynamic obstacle handling, and multi-floor traversal

  • Bring up new robot platforms: sensor integration, calibration, firmware interfaces, and SDK integration across vendors

  • Build shared fleet capabilities such as common memory and map sharing so that mapping one robot means mapping the fleet

  • Work on real-time performance: perception latency, compute budgeting on embedded platforms (NVIDIA Jetson and Thor), and sensor pipelines

  • Support deployments by making the software robust to the messiness of real environments: slopes, crowds, poor lighting, and unreliable networks

What We Look For
  • Experience building software for physical robots, with strong engineering fundamentals in languages such as Python, Go, and/or C++

  • Hands-on depth in at least two of: SLAM, motion planning, perception, manipulation, sensor calibration

  • Experience with ROS2 and embedded compute platforms

  • Comfort owning problems across the stack, from driver-level issues to high-level behavior

  • Shipped software running on real hardware outside a lab

Nice to Have
  • Experience with humanoids, quadrupeds, or other form factors such as wheeled robots

  • Experience building on top of pretrained vision-language-action foundation models and adapting them to new embodiments and tasks

  • Experience applying reinforcement learning to robot control problems such as locomotion, whole-body control, or manipulation, using frameworks like Isaac Lab or MJLab

  • Familiarity with NVIDIA Isaac, GMSL camera pipelines, or real-time middleware

  • Contributions to open-source robotics software

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