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

Sentradel

Guidance and Controls Engineer

San Francisco, CA · On-site

$98K - $127K/yr

Build state estimation and target leading Qualifications * You have built closed loop control systems with a strong understanding of classical controls and state estimation * Experience with ROS * C ...

COGENT Infotech

Staff Autonomy Engineer

San Jose, CA · On-site

... state estimation: vision-based navigation, multi-sensor fusion (GPS, IMU, passive sensing) What the role actually does  Owns architecture for autonomous flight capabilities -- multi-agent ...

New

SERES

Robotics Engineer

Milpitas, CA · On-site

Develop and integrate state estimation using IMU, encoders, force/contact sensing, and vision * Work with floating-base dynamics and multi-contact estimation * Combine learning-based policies with ...

SERES

Robotics Engineer

Milpitas, CA · On-site

Develop and integrate state estimation using IMU, encoders, force/contact sensing, and vision * Work with floating-base dynamics and multi-contact estimation * Combine learning-based policies with ...

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Showing results 1-20

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

Engineering Manager, State Estimation

San Francisco, CA • On-site

Hayden AI
Software Development • 11 - 50 employees
Learn more about Hayden AIexternal

$240K - $310K/yr

Full-time

Re-posted 29 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.
Job Summary:
The Engineering Manager, State Estimation will lead a high-performing team focused on developing advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. You will oversee the research, development, and deployment of large-scale mapping and localization solutions, while shaping the technical roadmap and ensuring successful collaboration across device, cloud, and applied AI teams.
Responsibilities:
  • Build, mentor, and manage a team of engineers developing state-of-the-art mapping, localization, and SLAM algorithms.
  • Set technical direction and project priorities, aligning them with broader organizational goals.
  • Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams.
  • Provide technical guidance on algorithm design, system architecture, and implementation, while ensuring best practices in software development and performance optimization.
  • Foster a culture of innovation, technical rigor, and collaboration across the team.
  • Develop and maintain project roadmaps, milestones, and technical documentation.
  • Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration.
  • Review and approve designs, architectures, and implementations, ensuring technical excellence and scalability.
  • Lead recruitment, hiring, and performance management to grow a world-class engineering team.

Required Qualifications:
  • Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field.
  • 10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.), including significant leadership or management responsibilities.
  • Proven experience leading engineering teams working on state estimation, localization, or SLAM technologies.
  • Strong foundation in C++ development, geometric computer vision, stochastic processes, and nonlinear/convex optimization.
  • Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares).
  • Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts.
  • Strong track record of technical execution combined with leadership and team-building skills.
  • Exceptional communication skills, with the ability to collaborate effectively across engineering, research, and product functions.
  • Experience in technology transfer and delivering research innovations into production systems.

Preferred Qualifications:
  • Demonstrated success deploying SLAM/VIO estimators in real-world applications.
  • Experience with multi-sensor systems, including GPS, IMU, camera, and wheel odometry.
  • Exposure to integrating deep learning with classical state estimation approaches.
  • Strong record of published research or contributions to the robotics and computer vision community.
  • Experience scaling and leading multi-disciplinary engineering teams

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