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Slam Engineer Jobs in California (NOW HIRING)

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 · 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 ...

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Showing results 21-40

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Slam Engineer information

See California salary details

$28.6K

$104.2K

$166.8K

How much do slam engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for slam engineer in California is $104,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $125,300.00 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.

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 the most commonly searched types of Slam Engineer jobs in California?

The most popular types of Slam Engineer jobs in California are:

What are popular job titles related to Slam Engineer jobs in California?

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

What job categories do people searching Slam Engineer jobs in California look for?

The top searched job categories for Slam Engineer jobs in California are:

What cities in California are hiring for Slam Engineer jobs?

Cities in California with the most Slam Engineer job openings:

Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $104,222 per year, or $50.1 per hour.

Helix AI Engineer, Localization and Mapping

Figure

San Jose, CA • On-site

$200K - $400K/yr

Full-time

Re-posted 9 days ago

Job description

Figure is on a mission to develop and deploy general purpose humanoid robots for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are looking for passionate and motivated superstars to grow our world-class team. We are based in Sunnyvale, CA and require 5 days/week in-office collaboration. It's time to build.
Figure's vision is to deploy autonomous humanoids at a global scale. Our AI team is looking for Localization and Mapping Engineers to empower Figure humanoid robots to perform highly dynamic operations in demanding real-world environments.
Responsibilities:
  • Architect and implement real-time localization, ego-motion tracking, and state estimation systems by fusing multi-modal sensor data (cameras, IMUs, encoders, magnetic sensors).
  • Build and maintain scalable, offline pose-tracking pipelines to process large-scale training data from diverse sources.
  • Develop and optimize multi-sensor calibration systems for humanoid robotics and data collection platforms.
  • Partner with cross-functional teams to build comprehensive, data-driven evaluation and testing frameworks.
  • Design, engineer, and deploy high-quality, reliable software solutions for real-world robotics applications.

Required Qualifications:
  • Deep technical expertise in solving complex estimation and nonlinear optimization problems.
  • Strong command of 3D geometry, visual-inertial SLAM, and computer vision techniques, including feature matching/tracking, and Structure from Motion (SfM).
  • Experience writing performant C++ software.
  • Hands-on experience with sensor calibration (e.g., multi-camera and IMU intrinsics/extrinsics).
  • Ability to thrive in a fast-paced, ambiguous environment that requires rapid exploration and iteration.
  • Passion for advancing humanoid robotics technology.

Bonus Qualifications:
  • Experience implementing visual-inertial SLAM systems on legged robotic platforms.
  • Background in estimation problems related to human motion capture or AR/VR applications.
  • Experience applying state-of-the-art Deep Learning approaches to SLAM, 3D reconstruction, or human pose estimation.

The US base salary range for this full-time position is between $200,000 - $400,000
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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