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Slam Engineer Jobs (NOW HIRING)

Sunday Inc

SLAM Engineer

Redwood City, CA · On-site

As a SLAM Engineer, your work will be essential in enabling our home robot to navigate safely in complex and dynamic home environments. You'll work closely with perception, motion planning, and ...

Oraapps Inc

Robotics Perception Engineer

Watertown, MA · On-site

Robotics Perception Engineer Job Location: Watertown, MA (Onsite) Job Type: Full-Time Very ... Experience with SLAM and multi-sensor robotics systems * Experience working in robotics, autonomous ...

Skild AI

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ... Your work will entail building systems for navigation, planning and controls, SLAM, manipulation ...

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Slam Engineer information

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$29K

$105.6K

$169K

How much do slam engineer jobs pay per year?

As of Jul 22, 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 job?

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or leadership roles. Compensation often includes base salary, bonuses, and stock options, particularly in tech companies or energy sectors.

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 is a slam engineer?

A slam engineer specializes in designing and implementing systems that process large volumes of data in real-time, often focusing on data ingestion, transformation, and analysis. They typically work with big data tools and programming languages like Python or Java, and may require knowledge of data pipelines, cloud platforms, and performance optimization. The role is common in data engineering and analytics environments.

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.

Which 3 jobs will survive AI?

Slam Engineers, involved in designing and maintaining automated systems, are likely to continue working alongside AI due to the need for specialized technical skills and hands-on problem-solving. Jobs requiring complex judgment, creativity, and emotional intelligence—such as healthcare professionals and skilled tradespeople—are also expected to persist despite AI advancements.

What engineer makes $500,000 a year?

Slam engineers, a specialized role in the construction or industrial sectors, typically do not earn $500,000 annually. High salaries in engineering usually occur in executive, senior management, or highly specialized fields such as petroleum, aerospace, or software engineering, where top professionals with extensive experience and advanced skills can reach or exceed this level. Most engineering roles offer salaries significantly below this threshold, with top-tier executives or consultants earning higher compensation.
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Slam Engineer jobs near you
Infographic showing various Slam Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
SLAM Engineer

SLAM Engineer

Sunday Inc

Redwood City, CA • On-site

Full-time

Posted 2 days ago

Job description

Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
What to Expect
In building robots for the home, we are tackling a true grand challenge in robotics: dexterous and safe mobile manipulation in unstructured environments. To make this possible, we are building across the entire robotics stack. We're training state-of-the-art AI models that leverage our large-scale, high-quality, real-world data collection system. At the same time, we're building a new kind of consumer hardware product, which will be deployed into homes and delivering real value for real customers. As an early member of a small, cross-functional team, you'll play a key role in pushing both our technology and product forward: advancing the frontier of embodied AI, and soon giving countless hours back to our customers so they can spend more time on the things they value most.
As a SLAM Engineer, your work will be essential in enabling our home robot to navigate safely in complex and dynamic home environments. You'll work closely with perception, motion planning, and controls engineers to ensure that we leverage our robot's onboard sensor suite to reliably generate safe, smooth, and natural motions.
What You'll Do
  • Build robust indoor SLAM system fusing LiDAR, Camera, IMU and odometry data
  • Develop software pipelines and processes for multi-sensor calibration
  • Collaborate with perception and motion planning engineers on indoor navigation and collision avoidance

What You'll Bring
  • Experience with vision-only or lidar-based SLAM pipelines
  • Deep understanding of spatial math including 3D rotation representations, frame transformations, camera projections
  • Familiarity with multi-sensor time-synchronization methods
  • Experience writing production-quality software in Python or C++

Nice to Have
  • Experience building production-grade SLAM systems in autonomous driving, AR/VR or robotics industries
  • Familiarity with GTSAM
  • Experience with motion-capture systems

At Sunday Robotics, we're building technology shaped by real people - curious, creative, and diverse. We're proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don't meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.

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