Control Systems Engineer
Job type: Full Time · Department: Engineering · Work type: On-Site
Bengaluru, Karnataka, India
Digantara is a leading Space Surveillance and Intelligence company focused on ensuring orbital safety and sustainability. With expertise in space-based detection, tracking, identification, and monitoring, Digantara provides comprehensive domain awareness across regimes, allowing end users to have actionable intelligence on a single platform. At the core of its infrastructure lies a sophisticated integration of hardware and software capabilities aligned with the key principles of situational awareness: perception, comprehension, and prediction. This holistic approach empowers Digantara to monitor Resident Space Objects in orbit and support operational decision making.
Digantara is seeking a Control systems design and hardware integration engineer to design, simulate, implement, test, and deploy closed-loop stabilization systems for electro-mechanical platforms used in precision sensing and tracking applications. The engineer shall translate top-level requirements into control-system architecture, perform modelling and simulations, select suitable sensors, actuators, controllers and embedded hardware, carry out programming and integration, and validate the deployed system against performance requirements in laboratory and field conditions.
Competitive incentives, galvanizing workspace, blazing team, frequent outings - pretty much everything you have heard about a startup + you get to work on space technology.
Hustle in a well-funded startup, allowing you to take charge of your responsibilities and create your moonshot.
Carry out end-to-end control-system design based on top-level requirements, tracking, bandwidth, jitter and settling-time requirements.
Develop mathematical and simulation models for mechanical platforms, actuator dynamics, sensor noise, disturbances, and control-loop behaviour.
Design closed-loop control architectures such as PID, feed-forward control, disturbance rejection, and sensor-fusion based stabilization as applicable.
Perform simulations to estimate loop stability, phase/gain margins, bandwidth, disturbance attenuation, error estimation, residual jitter and sensitivity to parameter variations.
Define specifications for sensors and hardware, including IMU/gyros, motor drivers, servo drives, motion controllers, embedded controllers, power electronics and safety interlocks.
Identify suitable COTS components meeting system-level requirements and prepare trade-off studies covering performance, interface compatibility etc
Develop embedded software/firmware and real-time control code for controller deployment using suitable platforms depending on system requirements.
Integrate sensors, actuators, drives, controller hardware and host software; implement calibration routines, data logging, telemetry, health monitoring and fault handling.
Carry out lab testing, validation, tuning, system identification, frequency-response testing, disturbance injection and closed-loop performance verification.
Support field deployment of stabilization systems on ground, mobile, marine or telescope platforms and perform acceptance testing against the specified accuracy requirements.
Collaborate with mechanical, electrical, optics, software and systems engineering teams to ensure that the integrated platform meets mission-level requirements.
3-8 years of academic, research or industry experience with significant aptitude in control systems, mechatronics, robotics, precision pointing, servo control or platform stabilization.
Master’s degree in control systems, electrical/electronics engineering, mechatronics, robotics, instrumentation, aerospace engineering or a related field. Strong bachelor’s candidates with relevant hands-on experience may also be considered.
Experience in modelling and control of electro-mechanical systems, gimbals, stabilized platforms, motor-driven mechanisms, telescope mounts, antenna pointing systems, robotics systems.
Proficiency in MATLAB/Simulink and/or Python for modelling, control design, simulation, numerical analysis and data processing.
Strong understanding of classical and modern control concepts including transfer functions, state-space models, Bode plots, root locus, stability margins, tuning, filters, observers and disturbance rejection.
Experience with sensors and actuators used in stabilization systems, including IMUs, gyroscopes, encoders, servo motors, BLDC motors, stepper motors, torque motors, and motor drivers.
Experience with embedded programming in C/C++ or equivalent and familiarity with real-time implementation constraints such as sampling rates, latency, quantization, interrupt handling and communication timing.
Familiarity with hardware testing equipment and methodologies including oscilloscopes, logic analysers, signal generators, data acquisition systems, motor drive configuration tools and vibration/disturbance measurement methods.
Strong analytical, problem-solving and critical-thinking skills with the ability to translate performance requirements into component specifications and testable design margins.
Experience with stabilized optical payloads, telescope platforms, antenna pointing systems, inertial stabilization, fast steering mirrors, fine pointing assemblies or marine/vehicle-mounted payload stabilization.
Experience with system identification, frequency-response measurement, hardware testing, real-time simulation, digital filtering and sensor fusion.
Experience with industrial or embedded communication interfaces such as CAN, EtherCAT, RS-422/RS-485, SPI, I2C, UART, Ethernet, UDP/TCP, Modbus or similar.
Experience with control deployment on STM32/TI C2000, Speedgoat/dSPACE, NI cRIO, Raspberry Pi/Jetson, real-time Linux, FPGA or commercial motion-control platforms.
Understanding of structural dynamics, vibration isolation, resonance management, thermal drift, backlash, friction, cable drag and other practical effects influencing precision control.
Ability to work in a mission-focused, operational environment.
Ability to think critically and make independent engineering decisions.
Interpersonal skills to work in a diverse and dynamic cross-functional team.
Maintain a regular and predictable work schedule.
Write and deliver technical documents, simulation reports and briefings.
Good verbal and written communication skills as well as organizational skills.
Travel occasionally as necessary for integration, field testing and deployment.
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