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State Estimation Localization Jobs (NOW HIRING)

Waabi

Senior / Staff Software Engineer, Localization

$141K - $242K/yr

You will... - Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization. - Design, implement, and optimize robust algorithms for ...

May Mobility

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

Job Summary The Autonomy Mapping & Localization group builds the spatial intelligence, semantic and topological mapping, and state estimation that let our autonomous vehicles understand where they ...

GuideTech LLC

Senior Navigation Engineer

$107K - $146K/yr

Design, implement, and optimize navigation and state estimation algorithms, including Kalman ... Lead system-level architecture for navigation, localization, and Positioning, Navigation, and ...

AeroVect Technologies Inc.

NY · On-site

The ideal candidate will have over 8 years of experience in robotics and autonomous vehicles, specializing in localization systems, with strong skills in multi-sensor fusion and state estimation.

May Mobility

Lead Machine Learning Engineer - Localization

$104K - $138K/yr

As the Lead ML Engineer for Localization, you will build the production-grade feature extraction and state estimation that lets our autonomous vehicles precisely navigate the world's most challenging ...

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How much do state estimation localization jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for state estimation localization in the United States is $46.24, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $50.72 per hour, depending on experience, location, and employer.

What is state estimation localization?

State estimation localization is the process of determining the position and orientation (state) of a robot or autonomous system within its environment, often in real time. This process uses data from various sensors, such as GPS, cameras, IMUs, and lidars, and combines them through algorithms like Kalman filters or particle filters to estimate the most probable location. Accurate state estimation is essential for navigation, mapping, and decision-making in robotics and autonomous vehicles. It often involves dealing with uncertainties and sensor errors to provide a reliable estimate of the system’s state.

How does a state estimation localization engineer typically collaborate with other engineering teams during a project?

State Estimation Localization engineers often work closely with robotics, perception, and software engineering teams to ensure accurate positioning and navigation of autonomous systems. Collaboration involves integrating sensor data, refining algorithms, and troubleshooting issues that arise during development and testing. Regular cross-team meetings and code reviews are common, allowing engineers to align on requirements, share progress, and quickly address integration challenges. Effective communication and a solid understanding of related disciplines are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as a state estimation localization engineer, and why are they important?

To thrive as a State Estimation Localization Engineer, you need a solid background in robotics, control theory, and sensor fusion, often supported by a degree in electrical engineering, computer science, or a related field. Proficiency with tools such as ROS (Robot Operating System), MATLAB, C++, and experience with algorithms like Kalman filters and SLAM are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are critical soft skills in this role. These competencies ensure accurate system localization, robust navigation, and reliable performance of autonomous systems in dynamic environments.
Infographic showing various State Estimation Localization job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 74% Full Time, 21% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $96,184 per year, or $46.2 per hour.

Senior / Staff Software Engineer, Localization

Remote

Waabi
See more jobs at Waabiexternal

$141K - $242K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now?  As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. 
 
You will...
- Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization.
- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.
- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.
- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.
- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.
- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks.
 
Qualifications:
- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience.
- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping). 
- Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).
- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).
- Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints.
- Proficiency in python for data analysis, prototyping, and tooling.
- Strong mathematical foundation in linear algebra, calculus, and probability theory.
- A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. 
 
Bonus/nice to have:
- Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o).
- Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching.
- Experience with high-speed highway autonomous driving constraints.
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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.
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