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Manager Robotics Engineer Localization Jobs in Lowell, MA

Tutor Intelligence

Robot Perception Engineer

Watertown, MA · On-site

$125K - $180K/yr

As an AI robotics company that deploys its inventions directly into the facilities that need them ... managed 401(k), and regular in-office meals. We host social events and maintain a collaborative ...

Aptiv

Senior Product Manager, Robotics & Drones

Boston, MA · On-site

$137K - $181K/yr

Senior Product Manager, Robotics & Drones We are Aptiv - a global technology company with 200,000 ... Define technical requirements in collaboration with Engineering and ensure alignment with customer ...

Aptiv PLC

Senior Product Manager, Robotics & Drones

Boston, MA · On-site

$137K - $181K/yr

Senior Product Manager, Robotics & Drones We are Aptiv - a global technology company with 200,000 ... Define technical requirements in collaboration with Engineering and ensure alignment with customer ...

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All JobsRobotics Engineer Localization JobsManager Robotics Engineer Localization JobsManager Robotics Engineer Localization Jobs in Lowell, MA

Manager Robotics Engineer Localization information

See Lowell, MA salary details

$28.8K

$104.7K

$167.6K

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

As of Jul 19, 2026, the average yearly pay for manager robotics engineer localization in Lowell, MA is $104,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $126,000.00 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.

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Manager Robotics Engineer Localization jobs near you
Robotics Forward Deployed Engineer

Robotics Forward Deployed Engineer

Tutor Intelligence

Watertown, MA

$80K - $160K/yr

Full-time

Re-posted 4 days ago

Job description

The Company
Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.
 
Founded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy.
 
The Role

We're looking for a technically credible, customer-oriented engineer to own a portfolio of customer sites running Tutor robots in production. You'll be the primary partner for each of your sites — the person their operations, engineering, and maintenance teams call first when something matters — and you'll be accountable for the operational and technical success of those deployments over time.

This isn't a traditional customer success role, and it isn't core product engineering. You won't own the product roadmap or build new robotic capabilities — that's R&D. But you will write code: the scripts, tooling, dashboards, and playbook logic that turn today's manual interventions into things that run themselves. The point of the job is to make your sites need you less over time, and to solve the hard, multi-factor problems that no playbook covers yet. You'll develop deep working knowledge of how our robots actually behave in the real world, diagnose issues across software, mechanical, and process dimensions, and partner with engineering to drive the deeper fixes — bringing the field context, prioritization, and validation that makes those fixes right.

The role is also genuinely relationship-driven. The customers in your portfolio will know you, trust you, and rely on you. You'll spend real time on-site at your facilities, remote time on diagnosis, tuning, and building, and ongoing time partnering with your customers' engineering and operations leaders. Your insights from the field will directly shape our product roadmap. This role sits at the intersection of robotics, operations, and customer partnership — and the right person is energized by all three.

 
Responsibilities
  • Own a portfolio of customer sites end-to-end: be the primary technical partner for each, build deep trust with their operations, engineering, and maintenance teams, and be accountable for the operational and technical success of those deployments.
  • Automate yourself out of the repetitive work. Convert recurring manual interventions into tooling, scripts, and playbooks that your customers and our remote team can run without you. The fleet grows; your manual workload shouldn't. This is the core of the job, not a side effect.
  • Develop deep working knowledge of our robot systems — software, hardware, and operational characteristics — sufficient to diagnose issues credibly and build real solutions at the boundary of the product.
  • Diagnose and resolve ambiguous, multi-factor issues in real-world environments — across software configuration, mechanical adjustment, process change, and root-cause analysis — and own the ones with no playbook yet.
  • Partner with engineering on the deeper fixes: package high-confidence cases with repro conditions, logs, and a likely root cause, and bring field validation rather than just a complaint.
  • Track the health and performance of your fleet — uptime, reliability, throughput, customer satisfaction — and act proactively on early signals.
  • Be the voice of your customers in our internal roadmap conversations; translate field reality into structured product insight.
  • Partner with Account Executives on expansion conversations, where operational success creates natural openings for growth.
Requirements

You clear a real technical floor, and then we select hard on judgment and people skills. Both halves matter; the second is what we weight most.

The technical floor (pass/fail):

  • 3–7+ years in a technical, ideally customer-facing role: applications/field engineering, robotics deployment, solutions engineering, technical account management, or similar.
  • Technical depth in at least one of: robotics, industrial automation, controls, mechatronics, manufacturing systems, or warehouse/logistics technology.
  • Comfortable working hands-on with both software and physical systems in messy operational environments. You can read logs and telemetry, reason about a system you didn't build, and write the scripts/tooling to automate a manual process — you don't need to have built the robot from scratch.

What we actually rank on:

  • Thrives in ambiguity — can take a vague, half-described, multi-factor problem with no clear owner and drive it to resolution. This is the single quality we weight most heavily.
  • Strong judgment about what to fix yourself, what to automate, and what to escalate.
  • Genuine relationship orientation — you take pride in being trusted by a customer over years, not just in shipping a project.
  • Clear communication in both directions: technically credible with customer engineering and ops teams, and plain-spoken with non-technical operators and leaders.

The reality of the job:

  • Roughly 30% travel to customer sites. The work happens on factory and warehouse floors — early shifts, PPE, noise, and real industrial environments. If that energizes you, great; if it doesn't, this isn't the role.
Nice to haves (zero or more)
  • Direct experience deploying or supporting robotics in production.
  • Background in warehouse, manufacturing, or other industrial operations.
  • Experience bringing field context into engineering decisions to resolve technical issues.
  • Deep interest in robotics, automation, or the future of physical AI.
Why This Role Is Unique
  • Work at the intersection of cutting-edge robotics and real-world industrial operations.
  • Own the success of real customers running real robots in production — your work directly determines whether the future of physical AI happens in their facility.
  • Join during a period of rapid growth, where this function is central to scaling the fleet.
  • Help define what this function looks like at Tutor — you'll be among the people who build the tooling and playbooks that later hires inherit.
Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team. All offers include fully covered health + dental and unlimited PTO.