Senior GNC Engineer

CosmoChute

Ahmedabad District

On-site

INR 400,000 - 750,000

Full time

14 days+
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Benefits offered by this job

Equity participation
Competitive compensation
Meaningful long-term growth

Job summary

CosmoChute seeks a Senior GNC Engineer to join its core engineering team, developing navigation, localization, motion planning and control for autonomous lunar robotic platforms.

You will work at the intersection of robotics, software, controls and perception to enable mobility over rough terrain with limited infrastructure for long-duration lunar missions.

Qualifications

  • 5+ years in GNC or robotics field.
  • Strong knowledge of control, estimation and robotics fundamentals.
  • Proficiency in C++ and Python; data-driven engineering mindset.
  • Experience with navigation, localization, or autonomous systems.
  • Mathematical background in linear algebra, probability, optimization and dynamics.
  • Ability to translate real-world data into robust engineering solutions.
  • Strong problem solving and systems thinking.
  • Bachelor’s or Master’s in relevant field (Aerospace/Robotics/ME/EE/CS/Applied Math).
  • Experience with Kalman/UKF/Factor-graph estimation, SLAM, VIO, or terrain-relative nav.
  • ROS 2 and robotic software architectures; Gazebo/Isaac Sim simulations.

Responsibilities

  • Develop guidance, navigation, and control algorithms for lunar robotic systems.
  • Design localization and state-estimation architectures for planetary operations.
  • Implement path planning, obstacle avoidance, and autonomy functions; MIL/HIL tests.
  • Develop motion control for rover mobility systems.
  • Support autonomous docking, payload deployment, and precision positioning.
  • Define GNC verification strategies and test campaigns.
  • Build high-fidelity simulation environments to validate nav and control.

Skills

5+ years experience
Control systems
Estimation theory
Robotics fundamentals
C++
Python
Data analysis
Systems thinking

Education

Bachelor/Master in Aerospace Robotics Mechanical Electronics CS Applied Math

Tools

ROS 2
Gazebo
MATLAB/Simulink
Isaac Sim

Job description

Senior GNC Engineer for Lunar Robotics & Autonomous Mobility

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 Senior GNC Engineer to join our core engineering team. You will be responsible for developing the navigation, localization, motion planning, and control systems that enable CosmoChute’s lunar robotic platforms to operate autonomously in complex and uncertain environments.

Working at the intersection of robotics, software, controls, perception, and systems engineering, you will help create mobility solutions capable of traversing rough terrain, navigating with limited infrastructure, and supporting long-duration lunar missions.

This is a high-ownership role, for arguably the most intriguing autonomous vehicles that will work in the most fascinatingly challenging environments

What You'll Work On

  • Visual and inertial localization solutions
  • Hazard detection and terrain assessment algorithms
  • Rover mobility and wheel-slip compensation
  • Autonomous payload deployment operations
  • Precision positioning and mission autonomy architectures
  • Future lunar night and multi-mission robotic infrastructure concepts
Your Responsibilities
  • Develop guidance, navigation, and control algorithms for lunar robotic systems
  • Design localization and state-estimation architectures for planetary surface operations
  • Implement path planning, obstacle avoidance, and autonomous mobility functions as well as FDIR strategies
  • Develop motion control algorithms for rover mobility systems
  • Support autonomous docking, payload deployment, and precision positioning operations
  • Define GNC verification and validation strategies, including MIL, HIL, and integrated subsystem test campaigns
  • Build and maintain high fidelity simulation environments to validate navigation and control performance
  • Collaborate with avionics, software, mechanical, and systems engineering teams
  • Support mission planning, autonomy architecture development, and operational concepts
Requirements

Must have

  • 5+ years of experience in the same field
  • Strong understanding of control systems, estimation theory, and robotics fundamentals
  • Proficiency in C++, Python, or both
  • Experience with navigation, localization, or autonomous systems development
  • Strong mathematical background in linear algebra, probability, optimization, and dynamics
  • Ability to analyze real-world data and translate results into robust engineering solutions
  • Strong problem-solving and systems-thinking capabilities
Good to have
  • Bachelor’s or Master’s degree in Aerospace Engineering, Robotics, Mechanical Engineering, Electronics Engineering, Computer Science, Applied Mathematics, or related field
  • Experience with Kalman Filters, Extended Kalman Filters (EKF), Unscented Kalman Filters (UKF), or factor-graph-based estimation
  • Knowledge of SLAM, Visual Odometry, Visual-Inertial Odometry (VIO), or terrain-relative navigation
  • Experience with ROS 2 and robotic software architectures
  • Familiarity with motion planning algorithms such as A*, D*, RRT, MPC, or trajectory optimization methods
  • Experience with simulation tools such as Gazebo, Isaac Sim, MATLAB/Simulink, or custom simulation environments
  • Knowledge of planetary rover navigation or autonomous vehicle systems
  • Understanding of control theory, PID controllers, model-based control, and nonlinear control systems
  • Exposure to computer vision and machine learning for robotics applications
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
  • Equity participation
  • Meaningful long-term growth potential
  • Complete honesty with only legally required abstractions
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