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Full Time Slam Engineer Jobs (NOW HIRING)

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Research Engineer, Calibration

Pittsburgh, PA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

Research Engineer, Calibration

Pittsburgh, PA · On-site +1

$158K - $269K/yr

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

ICP, RQE, SLAM, visual and radar odometry) and learning-based approaches (e.g. NeRF, 3D Splatting ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... SLAM, and VIO * Knowledge of ROS2 to develop sof tware for robotic applications * Ability to obtain ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Autonomy Engineer

Lorton, VA · On-site

$99K - $225K/yr

... SLAM, and VIO * Knowledge of ROS2 to develop software for robotic applications * Ability to obtain ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... SLAM, and VIO * Knowledge of ROS2 to develop software for robotic applications * Ability to obtain ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Full Time Slam Engineer information

See salary details

$59.5K

$90.5K

$153.5K

How much do full time slam engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for full time slam engineer in the United States is $90,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $105,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Slam Engineer vs Part Time Slam Engineer?

AspectFull Time Slam EngineerPart Time Slam Engineer
Work HoursTypically 40+ hours per weekLess than 20 hours per week
CertificationsRelevant certifications often requiredSame certifications may be preferred but less emphasized
Work EnvironmentFull-time employment in dedicated facilities or on-siteFlexible or temporary settings, often part-time roles
Industry UsageCommon in manufacturing, industrial, and engineering sectorsLess common, often in freelance or contract roles

Full Time Slam Engineers work full-time hours with consistent schedules, often requiring certifications and a dedicated work environment. Part Time Slam Engineers have flexible hours, may hold similar certifications, but typically work fewer hours and in more temporary settings. The choice depends on your availability and career goals within the industry.

More about Full Time Slam Engineer jobs
What cities are hiring for Full Time Slam Engineer jobs? Cities with the most Full Time Slam Engineer job openings:
What are the most commonly searched types of Slam Engineer jobs? The most popular types of Slam Engineer jobs are:
What states have the most Full Time Slam Engineer jobs? States with the most job openings for Full Time Slam Engineer jobs include:
Infographic showing various Full Time Slam Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, and 14% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $90,511 per year, or $43.5 per hour.
Software Engineer, Odometry & Localization

Software Engineer, Odometry & Localization

Agtonomy

South San Francisco, CA • On-site

$170K - $240K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About Us
 
At Agtonomy, we're not just building tech-we're transforming how vital industries get work done. Our Physical AI and fleet services turn heavy machinery into intelligent, autonomous systems that tackle the toughest challenges in agriculture, turf, and beyond. Partnering with industry-leading equipment manufacturers, we're creating a future where labor shortages, environmental strain, and inefficiencies are relics of the past. Our team is a tight-knit group of bold thinkers-engineers, innovators, and industry experts-who thrive on turning audacious ideas into reality. If you want to shape the future of industries that matter, this is your shot.
 
About the Role
 
You will be responsible for developing state estimation algorithms to help our vehicles more accurately estimate their pose with respect to the local and global frames. You will work closely with perception, planning, and controls engineers on the team to design and evolve the outputs of the pose and localization systems to better serve their consumers. This role is perfect for someone who loves combining math and software, and is excited about applying their experience to make robots drive in smart ways in rugged, agricultural environments.
What you'll do
  • Implement new features to improve the stability and reliability of our local and global pose estimates.
  • Design mitigation and fallback strategies for the pose estimation systems.
  • Research, prototyping, and experimenting with various sensors and state-of-the-art state estimation algorithms.
  • Architect, designing, and implementing software applications, as well as onboard and offboard infrastructure and tools to support those applications.
  • Develop portable, scalable, and fast state measurement and optimization libraries.
  • Write performant, well-tested software, and improving code quality of the entire Autonomy team through code and design reviews.
  • Validate your solutions on real vehicles in real-world scenarios.
What you'll bring
  • Demonstrated experience deploying state estimation algorithms in real robots: Factor graphs, Kalman filters, particle filters, structure from motion, visual inertial odometry, lidar odometry, etc.
  • Deep understanding of the design tradeoffs involved when fusing various sensing technologies: cameras (mono and stereo), LiDAR, RADAR, GNSS, IMUs, wheel encoders, etc.
  • Experience implementing state estimation math effectively in software with the following libraries: Eigen, Sophus, Ceres, GTSAM, etc.
  • Strong proficiency in modern C++ and experience writing efficient algorithms for resource-constrained embedded systems. This is a required skill for the position.
  • Ability to thrive in a fast-moving, collaborative, small team environment with lots of ownership.
  • Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders outside of Autonomy.
  • An eagerness to get your hands dirty by testing your code on real robots at real customer farms (gives "field testing" a whole new meaning!).
What makes you a strong fit
  • Experience architecting state estimation systems from scratch and understanding the design tradeoffs when leveraging filters, pose graph optimization, etc.
  • Experience implementing custom factors for factor graph optimization.
  • Experience with state-of-the-art visual odometry and/or lidar odometry algorithms.
  • You've built SLAM solutions from scratch, not just tuned open source ones
  • Thinks/dreams in Lie algebra.
  • 5+ years of software development experience in autonomy, robotics, or a related field.
  • MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
$170,000 - $240,000 a year
The US base salary range for this full-time position is $170,000 to $240,000 + equity + benefits + unlimited PTO
 
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.
Benefits
 
100% covered medical, dental, and vision for the employee (partner, children, or family is additional)
Commuter Benefits
Flexible Spending Account (FSA)
Life Insurance
Short- and Long-Term Disability
401k Plan
Stock Options
Collaborative work environment working alongside passionate mission-driven team!
 
Our interview process is generally conducted in five (5) phases:
1. Phone Screen with Hiring Manager (30 minutes)
2. Technical Evaluation in Domain (1 hour)
3. Software Engineering Evaluation (1 hour)
4. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 60 minutes)
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