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Slam Engineer Jobs in Texas (NOW HIRING)

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 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 ...

U.S. Silica Company

Electrical Technician

Midland, TX · On-site

... programmable logic controllers (PLCs), sensors, vision inspection systems, and high-voltage ... Follows all safety requirements including but not limited to LOTO, Confined Space, SLAM, DBS ...

HNTB

Construction Automation Team Lead

Austin, TX · On-site

$94K - $123K/yr

Bachelor's degree in Construction Management, Engineering, or a related field and 5 years of ... SLAM based scanning, and point cloud processing workflows. * Field construction technologies ...

Canes Midstream

Measurement Tech II

Big Lake, TX · On-site

... electric slam valves, flow control valves, etc. * Calibrate, maintain, and troubleshoot gas ... Work with gas control, EHS, and Engineering * External: Work with producers, customers, vendors ...

Canes Midstream

Measurement Tech II

Big Lake, TX

... electric slam valves, flow control valves, etc. * Calibrate, maintain, and troubleshoot gas ... Work with gas control, EHS, and Engineering * External: Work with producers, customers, vendors ...

Canes Midstream

Measurement Tech II

Big Lake, TX · On-site

... electric slam valves, flow control valves, etc. * Calibrate, maintain, and troubleshoot gas ... Work with gas control, EHS, and Engineering * External: Work with producers, customers, vendors ...

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Showing results 21-40

All JobsSlam Engineer JobsSlam Engineer Jobs in Texas

Slam Engineer information

See Texas salary details

$27K

$98.4K

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How much do slam engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for slam engineer in Texas is $98,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $118,300.00 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.

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 programming tools such as ROS or C++ to perform their duties effectively.

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.

What are the most commonly searched types of Slam Engineer jobs in Texas? The most popular types of Slam Engineer jobs in Texas are:
What are popular job titles related to Slam Engineer jobs in Texas? For Slam Engineer jobs in Texas, the most frequently searched job titles are:
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Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in Texas as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $98,387 per year, or $47.3 per hour.

Senior Computer Vision Engineer

Skyways

Austin, TX

$103K - $142K/yr

Full-time

Re-posted 23 days ago

Job description

Skyways designs, builds, and operates fully autonomous long-range cargo aircraft. Founded in 2017, the company has spent the last eight years developing and deploying autonomous logistics systems for real-world operations.

Our V2 aircraft carries 30 lbs up to 500 miles, while our next-generation V3 carries 100 lbs over 1,000+ miles with 20+ hours of endurance. Both use a hybrid-electric architecture that takes off like a helicopter and cruises like a plane, enabling long-range autonomous delivery without traditional runway infrastructure.

Today, Skyways aircraft operate across three continents in controlled national airspace under FAA oversight and in support of U.S. military operations. We are transitioning from prototype development to full-rate production and scaling toward large autonomous cargo fleets.

Backed by Y Combinator and a $37M AFWERX STRATFI award from the U.S. Air Force, Skyways is creating a new form of transportation to advance our civilization from Austin, Texas.

The Opportunity

This role owns some of the hardest perception problems in autonomous flight.

You will develop computer vision systems for autonomous landing, targetless landing zone evaluation, and perception-driven navigation in real operating environments. Your work will directly impact how aircraft identify safe landing areas, operate in degraded environments, and complete missions reliably without prepared infrastructure.

You will work across perception, sensor fusion, and flight systems to improve how aircraft understand terrain, obstacles, and environmental conditions during autonomous operations.

The ideal candidate has experience deploying perception systems on real robotic, automotive, or aerial platforms and understands the challenges of reliability, integration, and operational performance at system level.

You will work closely with autonomy, GNC, and flight operations teams to take systems from development through flight testing and operational deployment.

What You'll Do:

  • Develop and deploy computer vision systems for autonomous landing and landing zone evaluation

  • Build perception systems for targetless landing in unstructured and dynamic environments

  • Mentor junior perception engineers and raise the quality bar for how perception systems are designed, tested, and deployed

  • Develop algorithms for terrain understanding, obstacle detection, and environment classification

  • Work with onboard camera, IMU, GPS, and other sensor data in real flight environments

  • Improve system performance using operational flight data, testing, and iteration

  • Collaborate across autonomy, GNC, and flight operations teams to integrate perception into flight behaviors

  • Debug perception and autonomy issues observed during simulation, ground testing, and flight operations

  • Contribute to software architecture, testing, integration, and deployment workflows

What You'll Bring:

  • 5+ years of experience developing and deploying computer vision or perception systems in real-world environments

  • Strong proficiency in C++ and Python

  • Experience with perception systems for robotics, autonomous vehicles, drones, or aerospace platforms

  • Experience working with real sensor data and operational deployment constraints

  • Strong understanding of camera systems, sensor fusion, and state estimation concepts

  • Experience debugging and improving deployed perception systems using logs, telemetry, or flight data

  • Ability to operate effectively in fast-moving engineering environments

  • Strong communication and collaboration skills

Bonus Points If You Have:

  • Experience with autonomous aircraft or aerial robotics

  • Experience with landing zone evaluation, terrain classification, or visual navigation systems

  • Background in SLAM, visual odometry, or GPS-denied navigation

  • Experience with embedded or real-time systems

  • Familiarity with ROS2 or similar robotics frameworks

  • Experience deploying perception systems to resource-constrained platforms

Want to join our mission? Apply to learn more!

Due to U.S. government contract requirements, this role is limited to U.S. citizens, U.S. permanent residents, or candidates from specific countries authorized under applicable export control regulations.

Skyways is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.