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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 Jun 15, 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:
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,157 per year, or $59.2 per hour.

Senior Software Engineer - Perception State Estimation

Latitude AI

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.
When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people.
As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.
Meet the team:
The State Estimation team is a group of highly skilled and experienced professionals who specialize in cutting-edge multi-object tracking, scene estimation, and machine learning technology. Together, we collaborate to create advanced Bayesian filters, graph models, and deep learning models that are capable of temporally tracking both static and dynamic actors as well as estimating road features. The State Estimation team is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization.
The team's primary focus is on developing compute-efficient models and systems that can perform a wide range of tasks such as closed world multi-object tracking, track-to-detection data association, object motion forecasting, uncertainty estimation, lane line temporal smoothing, perception based road shape generation, and open world scene tracking and state estimation. The ultimate goal is to take these algorithms from the lab to the road, ensuring that they are optimized for onboard performance and able to function as production-grade perception systems on vehicles.
To achieve this goal, the team constantly stays up-to-date with the latest research literature and pushes the boundaries of what is possible. We are dedicated to developing cutting-edge tracking algorithms, ML algorithms, and models that can help vehicles reason about the world around them in real-time.
What you'll do:
  • Develop machine learning models and Bayesian filtering algorithms for multi-object tracking, state estimation, and uncertainty estimation
  • Develop estimation algorithms for road feature estimation such as lane lines and speed limit as well as estimating the road shape.
  • Develop forecasting algorithms for actors in the scene to estimate time-to-collision and threat levels for automatic emergency braking
  • Read literature, analyze raw data, and design state-of-the-art solutions
  • Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
  • Collaborate with perception experts and experienced roboticist on algorithm design, prototyping, testing, deployment, and productization
  • Build and maintain industry-leading software practices and principles
  • Develop clean and efficient software for perception modules interfacing with other key modules
  • Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

What you'll need to succeed:
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
  • Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks
  • Experience in developing multi-object tracking systems using classical algorithms or machine learning algorithms
  • Strong experience in deep learning, Bayesian filtering, and optimization algorithms
  • Proven experience in shipping perception software products to industry or consumers
  • At least 4 years of development experience in Python/C++ environment

Nice to have:
  • Ph.D. with machine learning focus, or equivalent experience
  • Experience developing and deploying machine learning models with compute constraints

What we offer you:
  • Competitive compensation packages
  • High-quality individual and family medical, dental, and vision insurance
  • Health savings account with available employer match
  • Employer-matched 401(k) retirement plan with immediate vesting
  • Employer-paid group term life insurance and the option to elect voluntary life insurance
  • Paid parental leave
  • Paid medical leave
  • Unlimited vacation
  • 15 paid holidays
  • Daily lunches, snacks, and beverages available in all office locations
  • Pre-tax spending accounts for healthcare and dependent care expenses
  • Pre-tax commuter benefits
  • Monthly wellness stipend
  • Adoption/Surrogacy support program
  • Backup child and elder care program
  • Professional development reimbursement
  • Employee assistance program
  • Discounted programs that include legal services, identity theft protection, pet insurance, and more
  • Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude's team, mission and career opportunities at lat.ai!
The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.
Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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