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E-Space · 1 month ago

GNC Engineer – Sensor Fusion & Estimation

Saratoga, CA

Full-time

Onsite

Mid, Senior Level

$100K/yr - $200K/yr

5+ years exp

E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. The company is seeking a Guidance, Navigation, and Controls Senior Engineer to design, develop, model, integrate, and test their attitude determination system, focusing on sensor performance and estimation software.

Information ServicesSatellite Communication

Growth Opportunities

No H1B

Responsibilities

Analyze and characterize attitude sensor performance, including processing of raw sensor data, fault detection, outlier rejection, and calibration

Design, implement, and tune attitude estimation software (e.g., Extended Kalman filters) for real-time execution in flight-critical software

Build and utilize software tools to process and analyze telemetry for performance assessment, and ground/in-orbit calibrations and verifications

Develop, tune, and validate sensor models for use in high-fidelity GNC closed-loop simulations

Develop and execute test procedures to verify the functionality and performance of sensing hardware and software

Develop and operate hardware testbeds to characterize sensor behavior and validate estimation software performance

Support sensing system validation during satellite assembly, integration, and testing (AIT) campaigns

Collaborate with cross-functional teams to provide domain expertise and support integration efforts

Contribute to engineering reviews and generate clear detailed technical documentation and test reports

Qualification

Kalman filtersC/C++Sensor fusionSensor calibrationPythonSimulinkIMU systemsTelemetry analysisTeamworkCommunicationDocumentation

Required

BS +5 years / MS +3 years / PhD +1 year in Aerospace Engineering, Electronics, Robotics, or equivalent, with relevant professional experience

Direct experience deriving and implementing sensing algorithms from first principles, including estimators (Kalman filters) and other sensor calibration, fusion, and fault detection algorithms

Proven ownership of multi-sensor systems, e.g., combinations of IMUs, magnetometers, GPS/GNSS, Earth sensors, sun sensors, and star trackers

Proficiency in C/C++, /Simulink, and Python

Experience with hardware testbeds using Raspberry Pi, Arduino, Pixhawk or other micro-controllers

Familiarity with structured verification and validation processes for critical applications

Hands-on experience with sensor hardware, drivers, and communication protocols, e.g., UART, SPI, I2C and CAN

Strong initiative, with excellent teamwork, communication, and documentation skills; comfortable in a fast-paced startup environment