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State Estimation Jobs in San Ramon, CA (NOW HIRING)

Pronto

Senior Robotics Controls Engineer

San Francisco, CA · On-site

$176K - $240K/yr

Develop state estimation pipelines that fuse multiple sensor modalities * Analyze system performance through simulation and field testing * Debug control issues using logged data and identify root ...

ALSO

Controls Engineer, Battery and BMS

Palo Alto, CA · On-site

$220K - $260K/yr

Develop and validate physics or data based battery state estimation algorithms (SOC, SOH, SOF). * Design and implement control and protection strategies (OV/UV, OC, cell balancing, thermal limits)

Meta

Battery Algorithm Engineer

Sunnyvale, CA

$173K/yr

Meta Reality Labs is seeking a Battery Algorithm Engineer to define and lead the development of advanced battery management algorithms and state estimation systems for next-generation virtual and ...

Garuda Ventures

Senior Robotics Controls Engineer

Brisbane, CA · On-site

$116K - $154K/yr

Lead sensor fusion and localization efforts to ensure robust, real-time state estimation in both simulated and physical environments * Define motor and sensor strategies, including hardware selection ...

Specter

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

Contribute to tracking and state estimation algorithms, bridging raw sensor data and meaningful system outputs in close collaboration with ML and perception teams * Build and maintain CI pipelines ...

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Showing results 41-60

All JobsState Estimation JobsState Estimation Jobs in San Ramon, CA

State Estimation information

See San Ramon, CA salary details

$66.5K

$137.6K

$196.7K

How much do state estimation jobs pay per year?

As of Sep 13, 2026, the average yearly pay for state estimation in San Ramon, CA is $137,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,300.00 and $161,500.00 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.

What cities near San Ramon, CA are hiring for State Estimation jobs?

Cities near San Ramon, CA with the most State Estimation job openings:

State Estimation jobs near you

Research Scientist - Autonomous Systems

Palo Alto, CA • On-site

Evolver
IT Services • 501 - 1,000 employees
Learn more about Evolverexternal

Full-time

Posted 3 days ago

New

Job description

About Evolver
Evolver is an AI technology company transforming professional services. We combine deep domain expertise, advanced AI, and continuous applied learning to automate complex enterprise workflows while keeping people involved where judgment matters. Our goal is to help organizations operate more efficiently, accurately, and intelligently.
The Role
Evolver is looking for a Research Scientist with a strong background in autonomous systems, control, mathematical system theory, optimization, or decision-making under uncertainty.
You will help develop the methodologies underlying intelligent systems that perceive changing environments, maintain and update internal state, reason under uncertainty, plan and act, observe outcomes, and adapt over time.
We welcome applications from exceptional recent graduates as well as experienced researchers. We care more about depth of thinking, mathematical maturity, and research ability than years of industry experience.
Experience in robotics or other physical autonomous systems is valuable, but this is not primarily a hardware or embedded-systems role.
What You'll Do
  • Develop methods for state and world modeling, state estimation, planning, control, and sequential decision-making.
  • Design approaches for autonomous systems operating under uncertainty and incomplete information.
  • Develop adaptive planning and feedback mechanisms that update decisions as new information becomes available.
  • Apply optimization, control, probabilistic reasoning, reinforcement learning, or related methods to complex AI systems.
  • Develop methods for evaluating the robustness, reliability, and behavior of autonomous systems.
  • Translate research into algorithms, prototypes, benchmarks, evaluation methods, and product architectures.
  • Collaborate with research, engineering, and product teams to bring new methodologies into real systems.

Minimum Qualifications
  • Ph.D. or thesis-based Master's degree in Electrical Engineering, Control, Robotics, Applied Mathematics, Operations Research, Computer Science, Systems Engineering, or a related quantitative field (Note: Please include the title of your thesis in your application and a brief summary of the problem, methodology, and your specific contribution).
  • Strong foundation in mathematical modeling and systems thinking.
  • Research experience in one or more of:
  • dynamical systems and control
  • state estimation
  • optimization or optimal control
  • stochastic systems
  • sequential decision-making
  • planning under uncertainty
  • reinforcement learning
  • autonomous systems
  • Strong Python or equivalent scientific computing skills.
  • Ability to translate mathematical concepts into computational methods and working prototypes.

There is no minimum number of years of industry experience. Strong candidates may demonstrate their capabilities through a thesis, publications, research projects, internships, open-source work, or relevant industry experience.
Preferred Qualifications
  • Research experience in areas such as model predictive control, stochastic control, POMDPs, Bayesian estimation, system identification, hybrid systems, multi-agent systems, or formal verification.
  • Experience with robotics, autonomous vehicles, aerospace, industrial automation, or other complex autonomous systems.
  • Strong publication record or demonstrated research impact.
  • Experience transferring research into production or real-world systems.
  • Familiarity with modern machine learning, foundation models, or agentic AI systems.

Deep prior experience with LLMs, RAG, prompt engineering, or specific agent frameworks is not required.
Application
In your cover letter, please include the title of your thesis and a brief summary of the problem, methodology, and your specific contribution.
About Evolver
Evolver is building intelligent enterprise systems that go beyond generating answers. Our systems must understand evolving situations, reason under uncertainty, make decisions, act, evaluate outcomes, and continuously improve.
We are looking for researchers who want to bring the foundations of systems, control, autonomy, and decision science into the next generation of AI.

Apply