1

Slam Engineer Jobs (NOW HIRING)

\n \n \n \n \n Robotics Engineer \n \n \n Remote \- USA \n \n \n \n \n \n ShortList has partnered ... Strong LiDAR SLAM skills \- overseeing the design and development of real\-time SLAM algorithms in ...

Senior Engineer

Boston, MA

$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

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 ...

next page

Showing results 1-20

Slam Engineer information

See salary details

$29K

$105.6K

$169K

How much do slam engineer jobs pay per year?

As of Jul 2, 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 job?

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in tech companies or energy sectors.

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 is a slam engineer?

A slam engineer specializes in designing and implementing systems that process large volumes of data in real-time, often focusing on data ingestion, transformation, and analysis. They typically work with big data tools and programming languages like Python or Java, and may require knowledge of data pipelines, cloud platforms, and performance optimization. The role is common in data engineering and analytics environments.

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.

Which 3 jobs will survive AI?

Slam Engineers, involved in designing and maintaining automated systems, are likely to continue working alongside AI due to the need for specialized technical skills and hands-on problem-solving. Jobs requiring complex judgment, creativity, and emotional intelligence—such as healthcare professionals and skilled tradespeople—are also expected to persist despite AI advancements.

What engineer makes $500,000 a year?

Slam engineers, a specialized role in the construction or industrial sectors, typically do not earn $500,000 annually. High salaries in engineering usually occur in executive, senior management, or highly specialized fields such as petroleum, aerospace, or software engineering, where top professionals with extensive experience and advanced skills can reach or exceed this level. Most engineering roles offer salaries significantly below this threshold, with top-tier executives or consultants earning higher compensation.
More about Slam Engineer jobs
What cities are hiring for Slam Engineer jobs? Cities with the most Slam Engineer job openings:
What are the most commonly searched types of Slam Engineer jobs? The most popular types of Slam Engineer jobs are:
What states have the most Slam Engineer jobs? States with the most job openings for Slam Engineer jobs include:
Infographic showing various Slam Engineer job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Must Have Technical/Functional Skills
- Strong ROS/ROS2 experience
- Proficiency in C++ and/or Python
- Experience with SLAM, navigation stack, and sensor fusion
- Hands-on hardware integration experience
- Debugging in real-world environments
- Reinforcement learning
- Multi-robot systems (Swarm cases)
- Cloud integration (MQTT, telemetry)
- Manufacturing or warehouse automation exposure
Roles & Responsibilities
Robotics Engineers with strong hands-on expertise in ROS/ROS2 to build and deploy real-world Physical AI solutions in manufacturing and enterprise environments. This is a build-and-deploy role, not research-only.
Responsibilities:
- Develop robotic applications using ROS/ROS2
- Implement navigation, SLAM, perception, and autonomy
- Integrate sensors (LiDAR, IMU, depth cameras) and actuators
- Work with robotic arms, mobile robots, AGVs, or quadrupeds
- Deploy solutions on edge devices (Jetson or similar)
- Support simulation (Gazebo/Isaac)
- Collaborate with AI and platform teams for connected robotics use cases
Generic Managerial Skills, If any
- Experts who have deployed real robots (not just simulations)
- Strong system thinking and problem-solving mindset
- Ability to operate in fast-paced innovation environments
Base Salary Range : $100,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SV2
#LI-KUMARAN