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Slam Engineer Jobs (NOW HIRING)

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 ...

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 ...

Brain Corp

Staff Autonomy Engineer

San Diego, CA

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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How much do slam engineer jobs pay per year?

As of Sep 3, 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.

Senior/Staff Software Engineer - Localization (Visual Odometry)

Gatik AI

Santa Clara, CA • On-site

$170K - $260K/yr

Full-time

Re-posted 28 days ago

Job description

Who we are
Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world's first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the role
We are looking for a Senior or Staff Software Engineer with a strong background in Visual Odometry (VO) and Localization to join our autonomy team. This role is critical to building precise, real-time vehicle localization systems using camera-based perception for autonomous driving applications. The ideal candidate has hands-on experience deploying VO systems in real-world environments, particularly in the autonomous vehicle (AV) domain, and brings solid C++ engineering skills to architect robust, high-performance software solutions.
This role is onsite 5 days per week at our Santa Clara, CA office.
What you'll do
  • Design and develop real-time Visual Odometry pipelines using monocular, stereo, or RGB-D camera inputs.
  • Implement robust camera-based localization algorithms, including visual-inertial odometry (VIO), feature tracking, motion estimation, and scale recovery.
  • Integrate VO systems with IMU, GPS, and other sensor data to enhance pose estimation accuracy and stability.
  • Collaborate with the mapping, perception, and control teams to integrate localization with the AV software stack.
  • Develop and optimize production-quality code in modern C++ for real-time performance on embedded compute platforms.
  • Analyze system performance in diverse environmental conditions and drive improvements for reliability, accuracy, and robustness.
  • Participate in code reviews, mentor team members, and contribute to architectural decisions.
  • Stay up to date with the latest research in SLAM, VIO, and VO, and help transition promising techniques into production

What we're looking for
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 5+ years of experience in robotics, computer vision, or autonomy; 3+ years specifically in Visual Odometry or VIO.
  • Experience working on Autonomous Vehicle platforms (e.g., development, testing, or deployment of AV systems).
  • Expert proficiency in C++ (C++14/17/20) and modern software engineering best practices.
  • Solid understanding of epipolar geometry, camera calibration, bundle adjustment, and optimization techniques.
  • Hands-on experience with open-source VO/SLAM libraries such as ORB-SLAM, VINS-Fusion, OpenVINS, or similar.
  • Experience working with ROS/ROS2, Linux development environments, and version control systems.
Bonus Qualifications
  • Experience integrating visual odometry with Lidar, GPS, or map-based localization.
  • Knowledge of GPU acceleration techniques (CUDA/OpenCV/OpenGL) for computer vision pipelines.
  • Familiarity with real-world deployment constraints such as environmental variability, sensor degradation, and compute limitations.
  • Experience in sensor calibration, time synchronization, and data preprocessing pipelines.
  • Contributions to relevant open-source projects or publications in VO, VIO, or SLAM.

Salary Range - $170,000- $260,000
More about Gatik
Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.
We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile - with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.
Visit us at Gatik for more company information and Careers at Gatik for more open roles.
Notable News
  • Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
  • Forbes: Hundreds' Of Gatik Robot Delivery Trucks Headed For U.S. Roads
  • Forbes:Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
  • Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
  • Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
  • Business Wire: Gatik Paves the Way for Safe Driverless Operations ('Freight-Only') at Scale with Industry-First Third-Party Safety Assessment Framework
  • Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
  • Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
  • Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
  • Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
  • Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny
Taking care of our team
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment's sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

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