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Slam Engineer Jobs (NOW HIRING)

GRENZEBACH

Software Engineer

Newnan, GA

Implement and maintain SLAM (Simultaneous Localization and Mapping) navigation algorithms ... Strong programming experience in C/C++, Python, or similar languages * Experience with CODESYS or ...

Rule14

Robotics Software Engineer

Santa Monica, CA · On-site

$65K - $85K/yr

What You'll Do - Develop robotics software using ROS 2 - Work on SLAM, localization, and navigation ... software engineering roles - Strong experience with ROS 2 - Solid understanding of SLAM ...

SLR Search

Robotics Engineer

New York, NY · On-site

$150K - $250K/yr

... SLAM, motion planning, and C++/Python programming for robotic arms. -- Proven track record of shipping physical robotics products from concept to real-world operation.

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 : • ...

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$29K

$105.6K

$169K

How much do slam engineer jobs pay per year?

As of Jul 22, 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.
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Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Senior Machine Learning Engineer, Computer Vision, HD Map and SLAM

Bot Auto

Houston, TX • On-site

$99K - $137K/yr

Full-time

Posted 21 days ago

Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities
  • Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
  • Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
  • Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
Qualifications
Required:
  • Have an advanced degree (Ph.D or Master's) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
  • Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
  • Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
  • Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.
Preferred:
  • Have a proven track record of research publications in top conferences and/or journals as the first author.
  • Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.

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