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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 Jul 12, 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
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What states have the most State Estimation jobs? States with the most job openings for State Estimation jobs include:
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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 12% Locum Tenens, 74% Full Time, 10% Part Time, 2% Contract, and 2% Summer. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $123,157 per year, or $59.2 per hour.
Senior Engineer, State Estimation (R5165)

Senior Engineer, State Estimation (R5165)

Shield AI

Washington, DC

$160K - $240K/yr

Full-time

Posted 29 days ago

Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world's best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (X-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI's products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies.  As a State Estimation Engineer, you will work on the GNC team to develop and optimize algorithms that process and fuse data from various sensors to provide accurate, reliable state estimates, enabling the X-BAT to operate autonomously in complex and contested environments. 
WHAT YOU'LL DO:
  • Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors.  
  • Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness. 
  • Design and implement real-time sensor data processing pipelines. 
  • Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms.  
  • Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios.  
  • Stay updated with the latest advancements in sensor technologies and state estimation , applying them to our systems.
REQUIRED QUALIFICATIONS:
  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience.
  • Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc.  
  • Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc.  
  • Experience with C++ 11 or newer  
  • Experience with Linux, command line tools, etc.  
  • Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders.  
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.  
  • You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
  • Ability to obtain a S//SAR level security clearance desired.
PREFERRED QUALIFICATIONS:
  • Experience in implementing inertial navigation algorithms on real-time processing systems  
  • Knowledge of computer vision techniques  
  • Proficiency in optimizing algorithms for compute-constrained systems  
  • Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs)  
  • Proven track record of transitioning from R&D to production
$160,000 - $240,000 a year
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us 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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