Ai and Robotics (GPS-denied navigation stack for UAVs)
PhoQtek labs
2 - 5 years
Hyderabad
Posted: 08/01/2026
Job Description
Company: PhoQtek Labs Private Limited
Location: Hyderabad (On-site)
Start Date: Immediate
About the Role
You will work on building and validating the GPS-denied navigation stack for GarudaNAV, PhoQtek visual navigation system for autonomous drones. This includes VIO, SLAM, sensor fusion, and integrating perception outputs into flight control systems. As a startup, we also value candidates who can contribute across software, hardware, testing, and rapid prototyping.
Core Responsibilities
GPS - Denied Navigation Development
Implement, test, and tune VisualInertial Odometry (VIO) pipelines
Develop visual navigation and SLAM systems (ORB-SLAM, VINS-Fusion,
SVO, etc.)
Work on sensor fusion (IMU + Camera + Barometer + optical flow)
Build pipelines for monocular/stereo/depth camerabased navigation
Optimize perception models for Jetson Orin Nano/NX
Integrate navigation outputs into PX4/ArduPilot for autonomous flight
Debug real-world issues in GPS-denied flight environments
Startup-Environment Contributions
Support hardware integration: Jetson setup, camera rigs, sensor
calibration
Assist during indoor/outdoor flight tests and dataset collection
Maintain documentation, experiments, logs, and test results
Work with robotics engineers on rapid prototyping and quick iterations
- Help in simulation setups (Gazebo / Air Sim / PX4-SITL) when required
Required Skills
Strong fundamentals in CV / Robotics / State Estimation
Hands-on experience with any VIO or SLAM framework
Python and/or C++ proficiency
Understanding of IMU processing, feature tracking, and pose estimation
Exposure to Jetson edge devices and camera/IMU hardware
Familiarity with PX4/ArduPilot, ROS/ROS2, or MAVLink is a plus
Good to Have
Experience with CUDA/TensorRT acceleration
Knowledge of EKF2, Kalman filters, or nonlinear optimization
Prior drone autonomy or robotics competition work
Experience with RealSense, depth cameras, stereo rigs, or optical flow
sensors
Who Should Apply
1/3 years experience or post docs, Final-year students or early-career engineers interested in autonomous systems
People who love solving hard problems in navigation without GPS
Builders who enjoy hands-on testing, fast execution, and startup
autonomy
What Youll Gain
Direct exposure to real GPS-denied drone autonomy R&D
Ability to work end-to-end: algorithm - Jetson onboard - PX4 - field tests
Fast-paced learning with real responsibility
Strong pathway to a full-time R&D role based on performance
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