Job VC

We are looking for a
Autonomous Systems  Engineer
to work on autonomous systems with a focus on computer vision, control theory, and data-driven modeling. This role is ideal for someone with strong analytical skills and experience applying data science to real-world autonomy or robotics problems.
Key Responsibilities:
Develop vision-based algorithms for perception and navigation.
Work on data analysis and sensor fusion for multi-sensor systems.
Build models and simulations to support system development and testing.
Process and analyze datasets from cameras, IMUs, and other sensors to improve autonomy performance.
Collaborate with robotics and software engineers on perception and navigation pipelines.
Stay up to date with recent research in computer vision, autonomy, and data science.
Required Qualifications:
2+ years of experience in data science, robotics, computer vision, or a related field.
Knowledge of control theory, PID controllers, signal processing, and data-driven modeling.
Understanding of geometric computer vision principles.
Strong programming skills in Python and good working knowledge of C++.
Experience working with Linux-based systems.
Degree in Computer Science, Robotics, Engineering, Mathematics, or another STEM field (or equivalent practical experience).
Nice to Have:
Experience with SLAM or Visual-Inertial Odometry (VIO).
Familiarity with OpenCV, NumPy, and ML frameworks such as PyTorch or TensorFlow.
Experience with ROS2, Gazebo, or AirSim.
Experience with PX4, Betaflight, or ArduPilot.
Understanding of neural networks for computer vision.
Interest in reinforcement learning or predictive modeling.
What We Offer:
Opportunity to work on cutting-edge embedded products
Competitive salary and benefits
Flexible working model (hybrid /onsite)
Professional growth and learning opportunities
Collaborative and engineering-focused culture