1

State Estimation Jobs (NOW HIRING)

Showing results 21-40

State Estimation information

See salary details

$59.5K

$123.2K

$176K

How much do state estimation jobs pay per year?

As of Aug 23, 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 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 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 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.

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.

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:

Infographic showing various State Estimation job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 25% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $123,157 per year, or $59.2 per hour.

Senior State Estimation Engineer

Hayden AI Technologies, Inc.

San Francisco, CA • On-site

$120 - $150/hr

Other

Posted 17 days ago


Job description

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

What the job involves

As a Senior State Estimation Engineer at Hayden AI, you will be asked to derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.

Responsibilities
  • Contribute to high impact, multidisciplinary projects across teams

  • Program and develop software in C++ and/or python

  • Derive and implement novel, real-time pose estimation algorithms

  • Research, develop and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration and/or vision-based localization

  • Collaborate with deep learning, device, and cloud teams to improve overall system architectures

  • Provide mentorship to our junior engineers

Required Qualifications
  • Master of Science degree or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.

  • Five (5)+ years of experience in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.

  • Five (5) years of experience with all of the following: programming in C++; designing and developing software; classical ML, Linear Algebra,
    Stochastic Processes, Geometric Computer Vision and Optimization (Convex, Nonlinear); Kalman Filter, MAP, Sequential Monte Carlo (particle
    filter), Nonlinear Least squares, IRLS and MHT; GPS, IMU, camera and wheel odometry.

  • Experience deploying SLAM/VIO estimators in a real-world application.

  • Work with multiple sensors such as GPS, IMU, camera, LIDAR, and wheel odometry.

#J-18808-Ljbffr