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State Estimation Jobs (NOW HIRING)

Archer

Staff State Estimation Engineer

San Jose, CA

$170K - $215K/yr

Implement state estimation algorithms, primarily in Simulink, ensuring adherence to modeling standards and best practices * Integrate state estimation solutions with various hardware components ...

Archer

Staff State Estimation Engineer

San Jose, CA · On-site

$170K - $215K/yr

Implement state estimation algorithms, primarily in Simulink, ensuring adherence to modeling standards and best practices * Integrate state estimation solutions with various hardware components ...

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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.
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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.

State Estimation Engineer

DYNA Robotics Inc

Redwood City, CA • On-site

$200K - $300K/yr

Full-time

Posted 11 days ago

Job description

Join us to shape the next frontier of AI-driven robotics!
Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.
Dyna Robotics was founded by repeat founders Lindon Gao and York Yang, who sold Caper AI for $350 million, and former DeepMind research scientist Jason Ma. The company has raised over $140M, backed by top investors, including CRV and First Round. We're positioned to redefine the landscape of robotic automation.
Position Overview:
As our first dedicated State Estimation Engineer, you are the architect of the robot's spatial intelligence. You will own the systems that allow our robots to understand where they are and how they move within complex, unstructured environments.
This is a foundational role. You will bridge the gap between high-frequency sensor data and high-level AI reasoning, ensuring our robots achieve the industry's top generalization and performance.
What You'll Do
  • Build the Spatial Core: Design and implement robust indoor SLAM and state estimation systems fusing LiDAR, Camera, IMU, and odometry. You will own the full stack, from factor graphs and EKF/UKF to optimization-based methods.
  • Sensor Fusion & Calibration: Develop automated pipelines for multi-sensor time-synchronization and calibration (VIO, visual SLAM), ensuring the "Skill Capture" data we collect is ground-truth quality.
  • Push the Frontier: Balance robust classical techniques with cutting-edge learned dynamics and neural filtering. You decide when to ship a reliable geometric solution versus when to invest in a differentiable approach.
  • Cross-Functional Synergy: Collaborate closely with Perception, Motion Planning, and AI teams to translate raw sensor streams into safe, smooth, and natural robotic motion.
  • Production Reliability: Move beyond simulation. You will build the diagnostic infrastructure and validation benchmarks needed to deploy robots into diverse, real-world customer environments.
What You'll Bring
  • 5+ Years of Real-World Impact: A track record of taking estimation systems from prototype to production on physical hardware (not just in Sim).
  • Mathematical Mastery: Deep understanding of spatial math, including 3D rotation representations (SO(3)), frame transformations, and camera projections.
  • Software Excellence: Proficiency in C++ for real-time, low-latency systems and Python for rapid tooling and research.
  • Ownership Mindset: As the first hire in this domain, you thrive in a fast-paced environment where you define the roadmap and the tech stack.
Bonus Points For
  • MS/PhD with a focus on SLAM, VIO, or Factor Graphs (e.g., experience with GTSAM).
  • Familiarity with state estimation for manipulators or high-degree-of-freedom robotic systems.
  • Hands-on experience with learned dynamics or neural-inertial navigation.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.
Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you're passionate about the intersection of geometry and robotics, we want to hear from you-even if you don't check every box.

Apply