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Slam Engineer Jobs (NOW HIRING)

Tutor

Robot Perception Engineer

Watertown, MA · On-site

As a Robot Perception Engineer, you will design and deploy perception systems, working on core problems in SLAM, segmentation, and tracking to enable production-ready autonomy. Responsibilities : • ...

Motional

Senior Engineer

Boston, MA · On-site

$113K - $155K/yr

Senior Engineer (Autonomy - Localization). Ref. No. N270 BOSTON - REMOTE U.S. ONLY FULL-TIME What ... SLAM) development, and optimizing code for deployment. Ref Job No. N270

Brain Corp

Staff Autonomy Engineer

San Diego, CA · On-site

Set technical direction for major areas of the autonomy stack - perception, SLAM, prediction ... Partner with engineering managers, product, and hardware on staffing, sequencing, and risk; serve ...

Bleum USA, Inc.

Machine Vision Engineer

Englewood, CO · On-site

We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self ...

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Slam Engineer information

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How much do slam engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for slam engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a slam engineer?

A SLAM (Simultaneous Localization and Mapping) Engineer develops algorithms and systems that enable machines, like robots or AR/VR devices, to map their environment while tracking their own position. They work with sensor fusion, computer vision, and machine learning to enhance real-time navigation and spatial awareness. This role is crucial in robotics, autonomous vehicles, and augmented reality applications. A SLAM Engineer typically has expertise in C++, Python, ROS, and technologies like LiDAR and visual odometry.

How much do slam engineers make?

Slam engineers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and industry. They often require knowledge of robotics, automation, and programming tools such as ROS or C++ to perform their duties effectively.

What are the main projects and responsibilities I can expect as a slam engineer?

As a SLAM Engineer, you'll typically be responsible for developing, optimizing, and integrating algorithms that enable robots or autonomous devices to navigate and map their environments. This may involve working with sensor data from LiDAR, cameras, or IMUs, implementing real-time data processing pipelines, and testing your solutions in both simulated and real-world scenarios. You’ll often collaborate closely with robotics hardware engineers, software developers, and research scientists to ensure reliable system performance. Additionally, you may participate in field deployments, debugging sessions, and ongoing enhancements to keep up with the latest research and industry trends.

What are the key skills and qualifications needed to thrive in the slam engineer position, and why are they important?

To thrive as a SLAM Engineer, you need expertise in robotics, computer vision, and probabilistic state estimation, usually supported by a degree in computer science, robotics, or electrical engineering. Familiarity with tools like ROS (Robot Operating System), C++/Python programming, and experience with libraries such as OpenCV, PCL, or GTSAM are typically required. Strong problem-solving ability, attention to detail, and effective teamwork are crucial soft skills in this position. These capabilities are vital for developing and maintaining robust simultaneous localization and mapping solutions, ultimately ensuring high-performance autonomous systems.

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Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Robot Perception Engineer

Tutor

Watertown, MA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Tutor Intelligence is building innovative technology for robots in American factories and warehouses. As a Robot Perception Engineer, you will design and deploy perception systems, working on core problems in SLAM, segmentation, and tracking to enable production-ready autonomy.
Responsibilities:
• Design and implement perception modules used in real-world robotic systems
• Own projects end-to-end, from early concept and prototyping through production deployment
• Work closely with Engineering, Operations, Product, and Leadership to define and ship solutions
• Improve system reliability, scalability, and observability in production environments
• Debug complex perception and systems-level issues across hardware and software
• Help shape technical direction, best practices, and team workflows as Tutor scales
Qualifications:
Required:
• 3+ years of experience in perception, robotics, or a closely related engineering role
• Strong foundations in computer vision, robotics, or related fields
• Comfortable writing production-quality code (e.g. C++, Python) and working with real sensor data
• Experience operating in fast-moving, resource-constrained environments
• Clear communicator who collaborates well across technical and non-technical teams
• Strong sense of ownership and a bias toward shipping meaningful work
• Genuine interest in robotics, AI, and solving hard real-world problems
Preferred:
• Experience with SLAM, multi-sensor fusion, or manipulation / grasp planning
• Hands-on work with robots in production or fielded environments
• Prior startup experience, especially at early or growth-stage companies
• Exposure to 24/7 systems, operational tooling, or customer-facing deployments
• Interest in technical leadership, mentorship, or project ownership
Company:
Tutor was founded to build the intelligence that lets machines see, learn, and act alongside people in the most complex, real-world production environments. Founded in 2021, the company is headquartered in Watertown, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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