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Slam Engineer Jobs in Austin, TX (NOW HIRING)

Symbotic

Principal Robotics Engineer

Austin, TX

SLAM, sensor fusion, state estimation, computer vision, and processing multiple cameras and/or ... You have led complex engineering efforts and know what it takes to deliver while still having a ...

Symbotic

Principal Robotics Engineer

Austin, TX · On-site

SLAM, sensor fusion, state estimation, computer vision, and processing multiple cameras and/or ... You have led complex engineering efforts and know what it takes to deliver while still having a ...

Symbotic

Principal Robotics Engineer

Austin, TX · On-site

$180 - $248/hr

SLAM, sensor fusion, state estimation, computer vision, and processing multiple cameras and/or ... You have led complex engineering efforts and know what it takes to deliver while still having a ...

Saronic Technologies

Software Engineer, Generalist

Austin, TX · On-site

$96K - $132K/yr

Job Overview We are seeking a Software Engineer, Generalist to play a pivotal role in the design ... Familiarity with sensor fusion techniques, SLAM algorithms, and other technologies relevant to ...

Fluidstack

Software Engineer, Robotics

Austin, TX · On-site

$224K - $279K/yr

You engineer for remote failure: recovery, fallback, and observability built in. * You've ... Navigation and SLAM. Fleet orchestration. C++, Python, or Go. Simulation (Gazebo, Isaac). We are ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

Mentor junior perception engineers and raise the quality bar for how perception systems are ... Background in SLAM, visual odometry, or GPS-denied navigation * Experience with embedded or real ...

Skyways

Senior Computer Vision Engineer

Austin, TX · On-site

$103K - $142K/yr

Mentor junior perception engineers and raise the quality bar for how perception systems are ... Background in SLAM, visual odometry, or GPS-denied navigation * Experience with embedded or real ...

Skyways

Senior Computer Vision Engineer

Austin, TX

$103K - $142K/yr

Mentor junior perception engineers and raise the quality bar for how perception systems are ... Background in SLAM, visual odometry, or GPS-denied navigation * Experience with embedded or real ...

Skyways

Senior Computer Vision

Austin, TX · On-site

... engineering environments • Strong communication and collaboration skills Preferred : • ... in SLAM, visual odometry, or GPS-denied navigation • Experience with embedded or real-time ...

All JobsSlam Engineer JobsSlam Engineer Jobs in Austin, TX

Slam Engineer information

See Austin, TX salary details

$28.7K

$104.7K

$167.5K

How much do slam engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for slam engineer in Austin, TX is $104,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $125,900.00 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 popular job titles related to Slam Engineer jobs in Austin, TX?

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

What job categories do people searching Slam Engineer jobs in Austin, TX look for?

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Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $104,677 per year, or $50.3 per hour.

Senior/Staff Software Engineer - Localization & Mapping

Avride

Austin, TX

$121K - $160K/yr

Full-time

Re-posted 21 days ago

Job description

About the team

Avride is a rapidly developing company in the autonomous vehicle and delivery robot industry. We develop autonomous vehicle technology from scratch, leveraging the strong technical background of our core team and over seven years of experience in autonomous vehicle development. The Localization team is responsible for providing precise rover location to all the components of the autonomous rover pipeline, like perception, behavior layer, and control. We calculate the position and the orientation of the rover with centimeter and fraction-of-a-degree accuracy, dozens of times per second, and in all conditions. Our most valuable asset is people, each with many years of experience in robotics, EKF, ICP, SLAM algorithms, distributed data processing, software architecture, and machine learning, working together as a motivated, effective, and friendly team.

About the role

We are looking for an experienced senior or staff software engineer to help us build Avride's Localization and Mapping subsystems. You will design and implement on-board localization algorithms and cloud mapping algorithms, improve the precision and reliability of rover localization in hard-to-navigate environments, and improve and speed up cloud mapping SLAM-based processes of lidar map building. You will be able to make data-driven decisions and innovate at one of the exciting frontiers of technological advancement.

What you'll do
  • Develop the cloud mapping subsystem with graph optimization at its core.
  • Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision.
  • Support sister development and operation teams on issues related to localization.
What you'll need
  • 3+ years of professional software engineering experience
  • Strong C++ programming skills
  • Solid understanding of algorithms, data structures, and software design patterns
  • Solid soft skills - intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication
Nice to have
  • Experience in robotics. Good knowledge of EKF, localization, calibration, and point cloud processing algorithms is welcome.
  • Strong mathematical knowledge and skills, especially in optimization, probability theory, and mechanics. Ability to turn ideas into formulas and formulas into algorithms.
  • Relevant publications or achievements in hackathons / programming contests
  • Eagerness to track recent advancements in the field and implement the best ideas to keep algorithms' performance state-of-the-art and beyond

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