4 State Estimation Jobs

As an Engineering Services Analyst at Accenture, you will be responsible for designing, developing, and maintaining high-quality graphical user interfaces (GUIs) for the utility's Supervisory Control and Data Acquisition (SCADA) system. Your role will require a strong understanding of power system operations, SCADA principles, and human machine interface (HMI) design. You will work on SCADA display building using relevant display development tools. Your key responsibilities will include designing and developing SCADA displays for various operational functions, integrating data from various sources, and ensuring that your displays meet industry standards and best practices. To excel in this role, you should have a background in Electrical Engineering and possess the ability to adapt and work well in a team. Numerical ability and experience with tools such as OSI Monarch, Design Studio, EMS, ICCP, SOM Planner, State Estimation, Contingency Analysis, CIM modeling, and Power Flow are required. Additionally, skills in client management, critical thinking, and data reporting will be beneficial. Your roles and responsibilities will include creating single line drawings using OSI Monarch software, developing accurate and detailed displays from scratch or existing diagrams, collaborating with cross-functional teams to understand specific requirements, conducting peer reviews of CAD drawings and EMS Displays, ensuring quality and documentation standards are met, participating in system integration testing, and continuously improving your skills and knowledge in OSI Monarch CAD design display building. Join Accenture, a global professional services company with leading capabilities in digital, cloud, and security, to leverage your expertise in SCADA display design and contribute to the success of clients worldwide.,

You will be responsible for designing the overall architecture and system topology of the Battery Management System (BMS) for accurate monitoring, control, and protection of the battery pack. This includes designing circuitry and algorithms for cell monitoring, balancing, and implementing techniques for uniform cell performance. You will also develop algorithms for state estimation and prediction of battery health, state of charge, and remaining energy, considering factors like voltage sag and internal resistance. Your role will involve designing algorithms for thermal management of the battery pack to ensure safe and optimal performance, including monitoring temperature and implementing cooling systems. Safety features such as overvoltage protection, undervoltage protection, and fault detection algorithms will be designed to manage potential system failures. Communication interfaces will also be created to integrate the BMS with other vehicle systems using protocols like CAN bus. In addition, you will be responsible for developing advanced algorithms for predictive modeling, optimal charging, powertrain integration, and energy management strategies to enhance the electric vehicle's performance and efficiency. Testing and validation of the BMS design will be conducted to ensure reliable operation and compliance with industry standards. Collaborating with cross-functional teams will be essential to ensure seamless integration and functionality of the BMS within the electric vehicle. To excel in this role, you should have proven experience in designing lithium-ion battery management systems for electric vehicles, proficiency in hardware design, strong programming skills in languages like C, C++, and Python, and familiarity with battery modeling and control algorithms. Knowledge of electric vehicle system architecture, battery testing methods, and industry standards such as ISO 26262 will be beneficial. Location: Chennai Mode: Work from Office,

At Capgemini Engineering, the global leader in engineering services, a team of engineers, scientists, and architects collaborates to support innovative companies worldwide. Specializing in digital and software technology, our experts provide unique R&D and engineering services across various industries. A career at Capgemini Engineering offers a multitude of opportunities where you can truly make a difference, with each day presenting new challenges and exciting projects. You should possess over 5 years of experience in manual testing and validation of power system applications. A strong understanding of Energy Management Systems (EMS), SCADA, or AEMS is essential. Familiarity with power system concepts such as load flow analysis, state estimation, contingency analysis, and unit commitment is required. Hands-on experience in developing test plans, test cases, and defect reports is necessary, along with proficiency in using SQL databases to validate data integrity. Effective communication and analytical skills are a must-have for this role. Desired skills include experience with AEMS (Advanced Energy Management System), knowledge of test automation tools like Selenium, Python, or Robot Framework, familiarity with cloud-based power system applications, and expertise in performance testing of real-time power system applications. Capgemini is a global business and technology transformation partner committed to helping organizations accelerate their digital and sustainable journey. With a diverse team of over 340,000 members in 50+ countries, Capgemini leverages its 55+ years of experience to deliver end-to-end services and solutions. The company's expertise spans from strategy and design to engineering, incorporating market-leading capabilities in AI, generative AI, cloud, and data. Trusted by clients worldwide, Capgemini is dedicated to unlocking technology's value to meet diverse business needs and drive positive impact for enterprises and society.,

We are seeking a Senior Robotics Engineer with extensive expertise in developing end-to-end robotic autonomy systems . The candidate must demonstrate deep capability in real-time control , multibody dynamics , optimal motion planning , and state estimation . The role demands rigorous system-level thinking, cross-disciplinary coordination with embedded and software teams, and research-grade mathematical modeling skills applied in real-world autonomous platforms. Key Technical Responsibilities- Robot Kinematics and Dynamics Advanced inverse and forward kinematics for serial, parallel, and mobile robots SE(3), SO(3), Lie group operations and coordinate transformation pipelines Analytical Jacobians, manipulability metrics, singularity resolution Inverse dynamics using recursive NewtonEuler and Lagrangian mechanics Floating-base dynamics, contact models, and hybrid system simulation Payload-compensated control, inertial parameter identification, external force rejection Control Systems (Model-Driven and Real-Time) Multi-loop cascade control for position, velocity, and torque domains Linear and nonlinear control system design (PID, LQR, MPC, adaptive control) Full-state feedback controllers with observer integration Trajectory stabilization using feedback linearization or robust Lyapunov techniques Control saturation, switching logic, anti-windup, and stability margin guarantees Real-time controller deployment on embedded or hard-real-time platforms Estimation & Sensor Fusion Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and information filters IMU, GPS, visual odometry, magnetometer, encoder fusion pipelines Drift modeling, bias estimation, and covariance bounding Nonlinear observer design and uncertainty propagation SLAM backend optimization, graph-based estimation pipelines Time synchronization and latency compensation between asynchronous sensors Motion Planning and Autonomy Kinodynamic motion planning with collision checking and constraint enforcement Trajectory optimization (minimum-jerk, time-optimal, energy-optimal) Sampling-based algorithms (RRT, RRT*, PRM) and trajectory smoothing Local reactive planners (DWA, TEB) integrated with global planners Real-time re-planning in dynamic environments Path-following with differential flatness-based control Mathematical & Computational Tools Strong command of Eigen , Ceres Solver, CasADi, Pinocchio or Drake Matrix decompositions (QR, SVD, Cholesky), convex optimization, constrained solvers Jacobian/Hessian calculation (symbolic or autodiff) for control and planning MATLAB/Simulink, Python/SciPy for prototyping and validation Numerical integration schemes for multibody systems (Runge-Kutta, Lie Integrators) Systems Integration ROS 1/2 deployment pipelines with real-time node scheduling ROS2 middleware customization with DDS tuning for hard real-time Sensor calibration (extrinsic/intrinsic), actuator synchronization Middleware integration with embedded control logic and real-world I/O Latency-aware system architecture for perception-planning-control loop closure Safety-oriented architecture with mode management and failsafe logic Engineering Process & Leadership Lead architecture design across perception, control, and decision layers Perform formal system verification and stability validation Supervise integration of simulation and hardware-in-the-loop (HIL) pipelines Guide junior roboticists in control, planning, and systems modeling Contribute to R&D publications, patents, or technology demonstrators Manage task breakdown, technical risks, and system-level design decisions Preferred Qualifications M.Tech / B.Tech in Robotics, Controls, Applied Mechanics, or Aerospace 4 + years in applied robotics R&D for ground, aerial, or humanoid systems Deep experience in autonomous robot deployments, research publications, or patents Mastery of control theory, estimation pipelines, and robotic software stack (e.g., ROS2, Drake, Pinocchio)