Graduate GNC Engineer

CosmoChute; Ahmedabad District; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive compensation

Performance based equity participation

Meaningful long-term growth potential

Job summary

CosmoChute in Ahmadabad City, India is seeking a Graduate GNC Engineer to join our core engineering team. This early-career role focuses on state estimation, control systems, and simulation for a rover that must navigate autonomously where GPS does not exist.

You will work with senior engineers on algorithms, sensor fusion, and real-time implementation, with emphasis on practical engineering and rapid growth in a demanding environment.

Qualifications

• Strong foundations in control theory, estimation and linear algebra.
• Experience with MATLAB/Simulink or Python for simulations.
• Interest in autonomous systems, robotics, or spacecraft GNC.

Responsibilities

• Support development and testing of GNC algorithms for lunar navigation.
• Assist with sensor fusion using IMU, camera, and wheel odometry.
• Build and maintain simulation environments for algorithm validation.
• Contribute to GNC documentation and collaborate with avionics/software teams.

Skills

Control theory

Estimation

Linear algebra

MATLAB/Simulink

Python

Autonomous systems

Robotics

GNC

Education

Bachelor's in Engineering

Tools

ROS/ROS2

Kalman filtering

SLAM

Python

Job description

Ahmadabad City, India | Posted on 08/03/2026

At CosmoChute, we are building modular, reusable lunar robotics infrastructure for long-duration planetary operations. Our systems combine mobility, modular payload deployment, survivability through lunar nights, and repair ability to make sustained presence on the Moon economically viable. We’re a deeply technical, fast-moving team that believes in real ownership, real trust and in creating an environment where your best work matters.

If you want to work on hardware that will one day operate on the moon, this is the role.

Your Role

We're looking for a Graduate GNC Engineer to join our core engineering team. This is an early-career role for someone with strong mathematical foundations, a curiosity for autonomous systems, and the drive to grow quickly in a technically demanding environment. You'll work directly alongside senior engineers on state estimation, control systems, and simulation, on a rover that has to navigate autonomously in an environment where GPS doesn't exist and the ground can't intervene in real time.

Your Responsibilities

• Support the development and testing of GNC algorithms for lunar surface navigation


• Assist with sensor fusion pipelines integrating IMU, camera, and wheel odometry data


• Build and maintain simulation environments for algorithm development and validation


• Support SIL and HIL test campaigns under the guidance of senior engineers


• Contribute to GNC documentations


• Work closely with avionics and embedded software engineers on real-time algorithm implementation

Requirements

Must have

• Strong interests in control theory, estimation, and linear algebra


• Working knowledge of MATLAB/Simulink or Python for algorithm development and simulation


• Genuine interest in autonomous systems, robotics, or spacecraft GNC


• Strong problem-solving and analytical skills

Good to have

• Bachelor’s in Computer Engineering, Electronics Engineering, Embedded Systems, Robotics, Aerospace Engineering, or related field


• Academic or project experience with Kalman filtering, SLAM, control system design, or any GNC implementation


• Familiarity with ROS or ROS2 in a robotics context


• Exposure to computer vision or vision-based navigation


• Final year project or thesis in GNC, autonomous systems, or a space-adjacent domain


• Participation in student rocketry, rover, or autonomous vehicle teams

What we deeply value

• Curiosity and ownership


• Ability to learn quickly across disciplines


• Practical engineering judgment and first principles thinking


• Strong grit towards troubleshooting and iterative development


• Cross-disciplinary thinking and collaboration


• Competitive compensation


• Performance based equity participation


• Meaningful long-term growth potential


• Complete honesty with only legally required abstractions