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Slam Engineer Jobs in Massachusetts (NOW HIRING)

Motional

Senior Engineer

Boston, MA · On-site +1

$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

ASUS

Senior Computer Vision Engineer

Boston, MA · On-site

$164K - $237K/yr

We are looking for a hands-on engineer with practical experience taking computer vision algorithms ... Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view ...

Tycho.AI

Senior Software Engineer

Cambridge, MA · On-site

$135K - $177K/yr

They are seeking a Senior Software Engineer to design and develop software for unmanned aerial ... SLAM, cameras, sensor fusion and/or motion planning. • Experience with interfacing to physical ...

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Slam Engineer information

See Massachusetts salary details

$31.7K

$115.3K

$184.6K

How much do slam engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for slam engineer in Massachusetts is $115,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $138,700.00 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.

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.

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 control systems, and may work in manufacturing, logistics, or research environments.

What are the most commonly searched types of Slam Engineer jobs in Massachusetts?

The most popular types of Slam Engineer jobs in Massachusetts are:

What are popular job titles related to Slam Engineer jobs in Massachusetts?

For Slam Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Slam Engineer jobs in Massachusetts look for?

The top searched job categories for Slam Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Slam Engineer jobs?

Cities in Massachusetts with the most Slam Engineer job openings:

Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $115,334 per year, or $55.4 per hour.

Senior AI/ML Engineer, Physical AI Solutions

North Reading, MA • On-site

Jobtailor
See more jobs at Jobtailorexternal

$120 - $180/hr

Other

Posted 6 days ago

Job description

  • Lead development and deployment of physical AI capabilities for autonomous mobile robots and industrial robotic arms
  • Advance obstacle detection, object identification and classification, pose estimation, SLAM, and precision localization systems
  • Engineer solutions using simulation and data generation platforms
  • Make sensor-modality trade-offs across RGBD cameras, LiDAR, and Time-of-Flight sensors based on performance, cost, and application requirements
  • Take AI innovations from concept through production deployment and ongoing customer support
  • Collaborate with R&D teams at Universal Robots and Mobile Industrial Robots
  • Analyze model performance, quality metrics, limitations, and training-run regressions
  • Rigorously validate AI capabilities and boundaries for customer-facing robotics solutions
Requirements
  • Deep understanding of sensor technologies including RGBD, LiDAR, and ToF
  • Experience shipping AI-powered products to market and supporting them in production customer environments
  • Strong software engineering fundamentals
  • Experience integrating AI/ML capabilities into existing robotics software stacks
  • Expertise in data science and data engineering
  • Experience working in cross-functional teams building complete systems
  • Demonstrated ability to rigorously evaluate ML model performance and establish meaningful metrics
  • Experience tracking model quality across training iterations
  • Experience utilizing simulation environments for engineering and validation workflows
  • Knowledge of obstacle detection, object identification and classification, and pose estimation
  • Knowledge of various SLAM approaches and their trade-offs
  • Knowledge of localization techniques from precision to relative positioning
  • Experience with robotic manipulators and mobile platforms
  • Hands-on experience with NVIDIA Isaac platform and tools
  • Background working with AMRs or industrial robotic arms in production settings
  • Knowledge of and interest in Vision-Language-Action (VLA) models and their application to robotics
  • Contributions to robotics or AI research communities
  • Some travel required
Core Competencies

Demonstrates expertise in AI capabilities for autonomous mobile robots, including obstacle detection, object identification, and SLAM. Proficient in integrating AI/ML into robotics software and validating model performance in production environments.

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