Autonomous Systems Engineer
6 days ago
Location:
[Bangalore - Wokk from Office]
Experience:
2–6 years
Team:
Moonrider AI – Autonomous Tractor Development
- About Moonrider
Moonrider is building the next generation of
electric, autonomous tractors
for smarter, safer, and more efficient farming. We integrate AI, robotics, and advanced vehicle systems to create tractors that can navigate, sense, and act autonomously in complex farm environments.
- Role Overview
We are looking for a versatile
Autonomy Systems Engineer
to work on
perception, control, localization, and motion planning
for our autonomous tractors. You will develop and integrate software that enables tractors to navigate fields safely, detect crops/rows, avoid obstacles, and plan optimal paths. This is a hands-on role ideal for engineers who enjoy building end-to-end autonomous systems from sensors to control loops.
- Key Responsibilities
- Develop
computer vision algorithms
for stereo cameras, lane/row detection, and obstacle recognition. - Design and implement
control algorithms
(PID/LQR) for path tracking, steering, throttle, and autopilot loops. - Implement
sensor fusion and localization
algorithms combining GPS/INS, LiDAR, and vision data. - Develop
motion planning and trajectory generation
for autonomous navigation, including headland turns and boundary-based path planning. - Integrate autonomy software using
ROS2 / middleware frameworks
and ensure real-time performance on embedded systems. - Collect, process, and manage
large-scale field data
for testing, validation, and ML training. Collaborate closely with vehicle systems, electronics, and test teams to deploy autonomous features on prototype tractors.
Qualifications & Skills
- B.Tech / M.Tech / PhD in
Robotics, Computer Science, Electrical/Electronics, Mechanical
, or related field. - Strong experience in
computer vision
(OpenCV, Pytorch/TensorFlow) and perception algorithms. - Hands-on with
control theory
and trajectory tracking algorithms (PID, LQR, MPC is a plus). - Experience with
sensor fusion
(Kalman filters, GPS/INS integration, LiDAR/vision fusion). - Knowledge of
motion planning
algorithms and path optimization for autonomous vehicles. - Proficiency with
ROS2
or other middleware for robotics/autonomous systems. - Strong programming skills in
C++ and Python
, experience with real-time systems a plus. - Familiarity with
data pipelines
, logging, and processing large datasets. Ability to work in a
fast-paced startup environment
, multitasking across perception, control, and planning.Why Join Moonrider?
- Be part of the
first smart autonomous electric tractor startup in India
. - Work with a
multidisciplinary team
of robotics, AI, and vehicle engineers. - Opportunity to
build real-world autonomous systems
from prototype to pilot fleets. - Competitive compensation, equity options, and flexible work environment.
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