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Full Time Slam Engineer Jobs (NOW HIRING)

GuideTech LLC

Senior Navigation Engineer

$107K - $146K/yr

Job Type Full-time Description Location : Remote, USA As a Senior Navigation Engineer, you'll ... Knowledge of vision-based navigation, SLAM, or LiDAR-based localization. * Experience developing ...

slam

Security Officer - Full-Time (2nd Shift)

Saint Louis, MO · On-site

$14.50 - $17.25/hr

Notify 911, ensure the safe evacuation of visitors and staff, notify Engineering staff, and safely ... on SLAM property. These powers are in effect only while on duty and on the premises that you are ...

Figure

Helix AI Engineer, Perception

San Jose, CA · Hybrid

$200K - $400K/yr

Domain expertise in at least one of the following areas: 3D Vision, VIO / SLAM, Vision-Language ... The US base salary range for this full-time position is between $200,000 - $400,000 The pay offered ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $400K/yr

Domain expertise in at least one of the following areas: 3D Vision, VIO / SLAM, Vision-Language ... The US base salary range for this full-time position is between $200,000 - $400,000 The pay offered ...

Nastech Global

AI Researcher

Mountain View, CA · On-site

Mountain View, CA / Warren,MI(onsite) Job Type: Full time Research in advanced areas of Computer ... Torch, Tensor Flow Experience in Visual SLAM (Simultaneous Localization and Mapping), YOLO, Faster ...

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Full Time Slam Engineer information

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

As of Aug 12, 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.

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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:
What job categories do people searching Full Time Slam Engineer jobs look for? The top searched job categories for Full Time Slam Engineer jobs are:
Full Time Slam Engineer jobs near you
Infographic showing various Full Time Slam Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $90,511 per year, or $43.5 per hour.

Senior Navigation Engineer

GuideTech LLC

Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Job Type
Full-time
Description
Location: Remote, USA
As a Senior Navigation Engineer, you'll develop advanced navigation and state estimation solutions that enable autonomous systems to operate in complex, mission-critical environments. You'll play a key role in advancing resilient autonomy by designing navigation technologies that perform reliably in GPS-denied, contested, and dynamic operating conditions while collaborating across autonomy, perception, controls, and systems engineering teams.
GuideTech is a subsidiary of Palladyne AI (NASDAQ: PDYN), a U.S.-based defense and industrial technology company that delivers embodied AI-powered collaborative autonomy solutions, advanced avionics, precision-manufactured components, UAVs, and advanced aerospace design services.
At GuideTech, you'll contribute to technologies that support a diverse range of aerospace and defense platforms, including unmanned aircraft, launch vehicles, spacecraft, missiles, and other autonomous systems. Your work will directly influence the performance of mission-critical autonomy systems operating in challenging real-world environments.
You'll thrive in this role if you're energized by solving complex estimation and navigation challenges, enjoy collaborating across engineering disciplines, and are motivated by building robust technologies that enable intelligent autonomous systems.
What You'll Do
  • Design, implement, and optimize navigation and state estimation algorithms, including Kalman filtering, sensor fusion, SLAM, and related techniques.
  • Develop and integrate multi-sensor navigation systems using GNSS, INS, IMUs, vision, LiDAR, RF, and other sensing technologies.
  • Lead system-level architecture for navigation, localization, and Positioning, Navigation, and Timing (PNT) solutions.
  • Develop robust navigation capabilities for GPS-denied, degraded, and contested environments.
  • Collaborate with autonomy, controls, perception, and systems engineering teams to optimize end-to-end system performance.
  • Conduct simulation, modeling, and real-world testing to validate navigation performance.
  • Analyze system performance, troubleshoot issues, and drive continuous improvements.
  • Contribute to requirements development, interface definition, and system verification activities.
  • Mentor junior engineers and provide technical guidance.
  • Support field testing and deployment of autonomous systems.

What Makes Someone Successful Here
  • You enjoy solving complex estimation, localization, and navigation challenges.
  • You communicate effectively across multidisciplinary engineering teams.
  • You balance analytical thinking with practical engineering judgment.
  • You take ownership of technical decisions and deliver high-quality results.
  • You are curious, adaptable, and motivated to continuously learn.
  • You collaborate openly and value diverse perspectives.
  • You are driven by developing technologies that support critical aerospace and defense missions.

Requirements
  • Bachelor's or Master's degree in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field.
  • 5-8+ years of experience.
  • Navigation, estimation, and sensor fusion.
  • Linear algebra, probability, and optimization.
  • Kalman filters (EKF/UKF), factor graphs, or similar estimation techniques.
  • GNSS, INS, and IMU integration.
  • C++, Python, or similar programming languages.
  • Developing and testing real-world navigation systems.
  • Experience developing autonomous systems, including UAVs, robotics, or defense platforms.
  • Knowledge of vision-based navigation, SLAM, or LiDAR-based localization.
  • Experience developing solutions for denied, disrupted, or intermittent (DDIL) environments.
  • Familiarity with embedded or real-time systems.
  • Experience with simulation tools such as MATLAB, ROS, Gazebo, or similar environments.
  • Prior experience supporting flight systems, aerospace, or defense platforms.

Benefits & Perks
  • Competitive salary
  • 401(k) with company match
  • Comprehensive medical, dental, and vision coverage
  • Paid time off and company holidays
  • Professional development opportunities

Work Authorization & Clearance
This position requires the ability to work in the United States without current or future sponsorship. Depending on the nature of the work, the ability to obtain and maintain a U.S. security clearance may be required. Candidates may be asked to provide additional information relevant to clearance eligibility in accordance with applicable laws and regulations.
The Fine Print
No 3rd party candidates will be accepted. It is Palladyne AI's policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.

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