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Slam Engineer Jobs (NOW HIRING)

Quidient

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

Overview Quidient is hiring a SLAM Engineer to advance the on-device visual-inertial SLAM system that powers our mobile capture experience. This role is central to how everyday users capture the ...

Quidient

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

Overview Quidient is hiring a SLAM Engineer to advance the on-device visual-inertial SLAM system that powers our mobile capture experience. This role is central to how everyday users capture the ...

Sunday Inc

SLAM Engineer

Redwood City, CA · On-site

As a SLAM Engineer, your work will be essential in enabling our home robot to navigate safely in complex and dynamic home environments. You'll work closely with perception, motion planning, and ...

Brahma Consulting Group

Senior Robotics Engineer

New York, NY · On-site

$114K - $157K/yr

We are seeking a Senior Robotics Engineer to lead advances in perception, sensor fusion, and sensor ... Lead SLAM development to improve product quality and consistency across diverse operating ...

Skild AI

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ... Your work will entail building systems for navigation, planning and controls, SLAM, manipulation ...

GRENZEBACH

Software Engineer

Newnan, GA · On-site

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

Optimal Inc.

Robotics Engineer - AMR

Warren, MI · On-site

Robotics Engineer - Autonomous Mobile Robotics (AMR) Position Summary We are seeking a highly ... Develop and enhance SLAM algorithms by implementing inertial odometry fusion techniques to improve ...

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Slam Engineer information

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How much do slam engineer jobs pay per year?

As of Sep 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?

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.
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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 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

SLAM Engineer

Quidient

Columbia, MD • On-site

$175K - $230K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Overview

Quidient is hiring a SLAM Engineer to advance the on-device visual-inertial SLAM system that powers our mobile capture experience. This role is central to how everyday users capture the world using their phones. You will enhance the live tracking pipeline running on mobile, pushing the limits of accuracy, robustness, and real-time AR visualization across a wide range of real-world scenarios - going well beyond what platform-provided solutions can deliver.

This is a hybrid position, meaning that you will need to live within easy driving distance to our Technology Center in Columbia, Maryland.

What You'll DoReal-time SLAM & Sensor Fusion
  • Develop and advance our on-device visual-inertial odometry and VI-SLAM pipeline - including sensor fusion across multi-camera streams, IMU, and depth - with drift correction and relocalization for production capture workflows.
  • Improve robustness across the full range of real-world user behavior - low-light, fast motion, textureless environments, and difficult geometry.
  • Drive down latency and memory footprint on mobile hardware, offloading compute to GPU where possible. Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong advantage.
  • Develop and extend calibration pipelines covering camera intrinsics, extrinsics, IMU biases, and time synchronization across multi-sensor mobile configurations.
Research Integration & Evaluation
  • Collaborate with the team's deep learning expertise to evaluate and selectively integrate learning-based methods alongside classical components in the live tracking stack.
  • Build and extend evaluation methodology grounded in real user captures.
  • Translate research progress into shipped capability in a fast-moving environment.
What You BringMust-Have Qualifications:
  • Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field - or equivalent demonstrated experience.
  • Significant hands-on experience developing or substantially improving a real-time visual-inertial odometry or VI-SLAM system, with a strong emphasis on camera-based pipelines.
  • Strong C++ (modern, performance-aware) and Python (tooling, prototyping, ML work).
  • Deep working knowledge of multiview geometry, nonlinear estimation, inertial sensing, and the practical failure modes of real-time tracking on resource-constrained devices.
  • Real experience with sensor calibration on real hardware.
  • Ability to read the deep learning literature critically and openness to integrating learned components over time.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience with mobile SLAM or VIO on iOS or Android (iPhone strongly preferred). Familiarity with constrained-system development including ARM, threading, memory profiling, and power-aware design.
  • Direct GPU programming experience - Metal shaders, CUDA kernels, or GPU compute APIs - for offloading SLAM or vision workloads on mobile hardware.
  • Experience with multi-camera and multi-sensor fusion (RGB, depth, IMU) in a mobile or embedded context.
  • Track record of shipping SLAM or visual odometry systems in production on mobile or embedded platforms.
  • Contributor to open-source SLAM or VIO projects (OpenVINS, ORB-SLAM, VINS-Mono, or similar).
What We OfferCompensation:
  • Salary Range: $175,000 - $230,000.
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement

Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

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