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State Estimation Jobs (NOW HIRING)

Archer

Staff State Estimation Engineer

San Jose, CA

$175K - $220K/yr

Implement state estimation algorithms, primarily in Simulink, ensuring adherence to modeling standards and best practices * Integrate state estimation solutions with various hardware components ...

Archer

Staff State Estimation Engineer

San Jose, CA · On-site

$175K - $220K/yr

Implement state estimation algorithms, primarily in Simulink, ensuring adherence to modeling standards and best practices * Integrate state estimation solutions with various hardware components ...

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State Estimation information

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$59.5K

$123.2K

$176K

How much do state estimation jobs pay per year?

As of Aug 2, 2026, the average yearly pay for state estimation in the United States is $123,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,500.00 and $144,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in state estimation roles in the power industry?

Professionals in state estimation often encounter challenges such as handling incomplete or noisy data from sensors, ensuring the accuracy and reliability of real-time system models, and integrating data from diverse sources across the power grid. Additionally, they must quickly identify and resolve discrepancies or anomalies in system status, which requires strong analytical skills and attention to detail. Collaboration with control room operators, engineers, and IT specialists is also essential to ensure seamless operation and data integrity.

What is state estimation in the context of power systems?

State estimation is a process used in power systems to determine the most likely operating condition of an electrical grid based on available measurements and system models. It involves collecting data from various sensors and meters, processing this data to filter out errors or inconsistencies, and calculating the voltage magnitudes and phase angles at different nodes. This helps operators monitor the system's health, detect issues, and make informed decisions to maintain reliable and secure power delivery.

What is the difference between State Estimation vs Power System Operator?

AspectState EstimationPower System Operator
Primary RoleAnalyzes and computes the most accurate system state using measurementsManages and controls the power grid in real-time
Required CredentialsEngineering degree, certifications in power systems or controlEngineering or technical background, often with operational certifications
Work EnvironmentData analysis, software tools, control centersControl rooms, field operations, real-time decision making
Industry UsageElectrical utilities, grid managementElectric utilities, grid operators

While both roles are vital in power systems, State Estimation focuses on analyzing system data to determine the current grid state, whereas Power System Operators manage and control the grid in real-time to ensure stability and reliability.

What are the key skills and qualifications needed to thrive as a State Estimation Engineer, and why are they important?

To thrive as a State Estimation Engineer, you need a strong background in electrical engineering, power systems, and applied mathematics, often supported by a relevant degree. Familiarity with power system analysis tools (such as PSS®E or PowerWorld), SCADA systems, and programming languages like Python or MATLAB is typically required. Analytical thinking, problem-solving abilities, and effective communication help you interpret data and collaborate with cross-functional teams. These skills are vital for ensuring reliable power system monitoring, accurate grid operation, and swift response to system anomalies.
More about State Estimation jobs
What cities are hiring for State Estimation jobs? Cities with the most State Estimation job openings:
What states have the most State Estimation jobs? States with the most job openings for State Estimation jobs include:
What job categories do people searching State Estimation jobs look for? The top searched job categories for State Estimation jobs are:
State Estimation jobs near you
Infographic showing various State Estimation job openings in the United States as of July 2026, with employment types broken down into 13% Locum Tenens, 72% Full Time, 11% Part Time, 3% Contract, and 1% Summer. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $123,157 per year, or $59.2 per hour.

Technical Lead - State Estimation

Overland AI

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

About Overland AI
Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
Role Summary
Overland AI is building autonomous ground vehicles capable of operating where GPS is unreliable, terrain is unpredictable, and failure is not an option. We're looking for a Technical Lead in State Estimation to define the algorithms that allow our vehicles to understand exactly where they are-and keep them operating confidently in the world's most demanding environments.
In this role, you'll lead the architecture and development of our state estimation stack, solving challenging problems across localization, mapping, sensor fusion, and probabilistic inference. You'll work at the intersection of cutting-edge robotics research and production autonomy, turning advanced estimation techniques into robust systems that perform reliably in real-world deployment.
As a technical leader, you'll set the direction for state estimation at Overland, mentor a team of exceptional robotics engineers, and collaborate across perception, planning, controls, and platform engineering to build the next generation of autonomous off-road vehicles.
Key Responsibilities
  • Design and implement odometry, localization, and mapping algorithms that enable reliable autonomy in GPS-denied and degraded environments.
  • Develop robust multi-sensor fusion systems combining IMUs, LiDAR, cameras, GNSS, wheel encoders, and other onboard sensors.
  • Formulate and solve estimation problems using Kalman filtering, Bayesian inference, factor graphs, nonlinear optimization, and modern probabilistic techniques.
  • Evaluate and integrate learned approaches-including learned odometry, feature representations, and neural mapping methods-where they deliver measurable improvements over classical techniques.
  • Develop high-performance, production-quality C++ (C++23) software optimized for real-time robotic systems.
  • Build tooling, simulation infrastructure, and evaluation pipelines that enable rapid algorithm development and validation using large-scale field datasets.
  • Lead verification and validation efforts across diverse terrain, weather conditions, and operational environments.
  • Partner closely with perception, planning, controls, and systems engineers to deliver an integrated, reliable autonomy stack.
  • Mentor engineers, drive technical excellence, and establish best practices for robotics software development.

Minimum Qualifications
  • MS or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field with specialization in state estimation, SLAM, localization, or probabilistic inference.
  • 5+ years developing production-grade state estimation or SLAM systems deployed on physical robotic platforms.
  • Deep expertise in probability theory, Bayesian estimation, optimization, and nonlinear inference, including:
    • EKF, UKF, Error-State Kalman Filters
    • Factor graph optimization (GTSAM, Ceres, g2o)
    • MAP/MLE estimation
  • Demonstrated experience deploying robust estimation systems in complex, unstructured, or off-road environments.
  • Expert-level C++ and strong Python development skills.
  • Experience building low-latency, real-time robotics software.
  • Strong understanding of inertial navigation, sensor calibration, and multi-modal sensor fusion (IMU, LiDAR, cameras, GNSS).
  • Publications or significant technical contributions in SLAM, visual-inertial odometry, LiDAR-inertial odometry, localization, or related fields.

Desired Qualifications & Experience
  • PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Experience incorporating machine learning into estimation pipelines.
  • Experience with ROS 2 and real-time middleware (DDS, shared-memory transport).
  • Experience with terrain-relative navigation, prior-map localization, or GPS-denied navigation.
  • Contributions to widely used open-source robotics or estimation libraries.
  • Experience leading technical teams, mentoring engineers, and driving architecture decisions.
  • Experience shipping autonomy systems on production robotic or autonomous vehicle platforms.

Benefits
Overland AI believes in creating a work environment that you look forward to embracing every day.
  • The salary range for this position is $200K to $260K annually
  • Equity compensation
  • Best-in-class healthcare, dental and vision plans.
  • Flexible PTO
  • 401k with company match
  • Parental leave

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