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Manager Robotics Engineer Localization Jobs in Berkeley, CA

... robotics and autonomous systems. They are looking for a pivotal Solutions Engineer to build ... Responsibilities : • Partner with Scale Account Executives and Engagement Managers to deliver new ...

... robotics and autonomous systems. They are seeking a Solutions Engineer to build technical ... Responsibilities : • Partner with Scale Account Executives and Engagement Managers to deliver new ...

... robotics and autonomous systems. They are seeking a Solutions Engineer to build relationships with ... Responsibilities : • Partner with Scale Account Executives and Engagement Managers to deliver new ...

In this role, you will work closely with product managers, engineers, designers, and international ... Develop and execute localization strategies aligned with product roadmaps and overall business ...

Lab Robotics Engineer

San Francisco, CA · On-site

$175K - $235K/yr

Building and managing a fleet of robots and monitoring systems to proactively identify and address ... programming in Python (web frameworks like Flask/Django a plus!) * Familiarity with molecular ...

What you'll do Pronto is looking for a Robotics Engineer who thrives at system-level debugging and ... localization, planning, controls). * Comfort operating in ambiguity-able to define scope ...

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Manager Robotics Engineer Localization information

See Berkeley, CA salary details

$35.5K

$129.3K

$206.9K

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

As of Jun 16, 2026, the average yearly pay for manager robotics engineer localization in Berkeley, CA is $129,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $155,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a Manager Robotics Engineer specializing in 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 are the key skills and qualifications needed to thrive as a Manager Robotics Engineer Localization, and why are they important?

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 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 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 popular job titles related to Manager Robotics Engineer Localization jobs in Berkeley, CA? For Manager Robotics Engineer Localization jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Manager Robotics Engineer Localization jobs in Berkeley, CA look for? The top searched job categories for Manager Robotics Engineer Localization jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Manager Robotics Engineer Localization jobs? Cities near Berkeley, CA with the most Manager Robotics Engineer Localization job openings:

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Full-time

Posted 16 days ago


Job description

Company Overview
Maven Robotics is building the world's leading general-purpose AI robots.
We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.
Role Description
We are looking to recruit an exceptional Machine Learning Engineer - Robot Perception to design, implement, test, and deploy robot perception algorithms that power our robots' ability to understand and interact with the world.
In this role you will:
  • Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.
  • Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.
  • Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments.
  • Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.
  • Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.
  • Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.
Qualifications
Must-have:
  • MS or PhD in machine learning, computer science, robotics, or a related field.
  • Strong background in computer vision, deep learning, and sensor fusion.
  • Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.
  • Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).
  • Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.
  • Experience with data collection, preprocessing, and management in the context of training ML models.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:
  • Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
  • Experience in:
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • General knowledge of robotics principles, including kinematics, dynamics, and control.