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Manager Robotics Engineer Localization Jobs in Westland, MI

Robotics Engineer - AMR

Warren, MI · On-site

$52 - $68/hr

Manage robotic inventory, including tracking hardware, parts, tools, and equipment * Assemble ... Collaborate with robotics engineers and operators during testing and data collection * Maintain ...

We are looking for a skilled and innovative Robotics Engineer to support the design, integration ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

We are looking for a skilled and innovative Robotics Engineer to support the design, integration ... Final decisions are always made by the hiring manager and the hiring team. Importantly, no ...

Implements changes and improvement following the change management system. Develops/supports TPM ... Program and configure robots using appropriate programming languages and control systems. * Develop ...

Implements changes and improvement following the change management system. Develops/supports TPM ... Program and configure robots using appropriate programming languages and control systems. * Develop ...

Program Manager - Robotics & Drones We are Aptiv - a global technology company with 200,000 ... You will partner closely with engineering, product management, autonomy, localization, safety ...

Program Manager - Robotics & Drones We are Aptiv - a global technology company with 200,000 ... You will partner closely with engineering, product management, autonomy, localization, safety ...

Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a ... Functional proficiency with Software concepts such as memory management, threading, databases and ...

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Manager Robotics Engineer Localization information

See Westland, MI salary details

$26.6K

$97K

$155.2K

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

As of Sep 5, 2026, the average yearly pay for manager robotics engineer localization in Westland, MI is $96,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,700.00 and $116,700.00 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 cities near Westland, MI are hiring for Manager Robotics Engineer Localization jobs?

Cities near Westland, MI with the most Manager Robotics Engineer Localization job openings:

Infographic showing various Manager Robotics Engineer Localization job openings in Westland, MI as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $96,999 per year, or $46.6 per hour.

Senior Machine Learning Engineer - Localization

Torc Robotics

Ann Arbor, MI • On-site, Remote

$119K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Key responsibilities

  • Design, develop, and deploy production ML models for ego-motion estimation and localization using various vehicle sensors.

  • Develop scalable training and evaluation workflows with PyTorch and large-scale real-world datasets.

  • Analyze vehicle data to assess performance, identify failure modes, and improve models and systems.


Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Accurate and highly available information about vehicle motion and position is fundamental to the safe operation of autonomous trucks. Core capabilities such as perception, prediction, planning, and control depend on reliable ego-motion and localization estimates to ensure safe and efficient vehicle behavior.
The Ego-Motion & Localization Team develops the ML models, state estimation algorithms, and production software responsible for estimating vehicle pose, velocity, and acceleration in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready localization and sensor fusion solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications.
What You'll Do
  • Design, develop, and deploy production ML models for ego-motion estimation and localization, including learned pose estimation, sensor extrinsic calibration, map matching, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.
  • Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.
  • Design and improve state estimation and sensor fusion algorithms for robust vehicle pose, velocity, and acceleration estimation.
  • Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.
  • Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.
  • Define evaluation, verification, and validation strategies to ensure localization quality, robustness, and safety across diverse operating conditions.
  • Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.
  • Collaborate with perception, mapping, planning, controls, and platform teams to deliver integrated autonomous driving capabilities.
  • Provide technical leadership through design reviews, code reviews, mentoring, and development of engineering best practices.

What You'll Need to Succeed
  • Bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field with 6+ years of relevant industry experience, or a Master's degree with 3+ years of relevant industry experience, or a PhD with 1+ year of relevant industry experience.
  • Experience with AV or robotics localization systems (e.g., LiDAR-based localization, visual odometry, SLAM, or map-based pose estimation).
  • Strong experience developing and deploying ML models for perception, localization, or sensor fusion domains.
  • Proficiency with PyTorch and modern ML tooling for training, inference, and optimization.
  • Solid understanding of 3D geometry, probabilistic estimation, coordinate transforms, and robotics fundamentals.
  • Demonstrated ability to work with large multimodal datasets and build scalable pipelines for processing, labeling, and evaluation.
  • Strong software engineering fundamentals in Python and C++, including algorithms, data structures, testing, debugging, and performance optimization.
  • Strong written and verbal communication skills and the ability to work effectively on cross-functional teams.

Bonus Points
  • Experience with state estimation techniques such as factor graphs, Kalman filtering, nonlinear optimization, or related probabilistic estimation methods.
  • Familiarity with distributed computing tools such as Ray, Kubernetes, or similar orchestration frameworks.
  • Knowledge of embedded and real-time constraints for on-vehicle deployment.
  • Experience in simulation, synthetic data generation, and uncertainty-aware ML modeling.
  • Contributions to open-source robotics, perception, or ML frameworks.
  • Familiarity with functional safety standards and automotive development processes, including ISO 26262.

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102894
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD