
PhoQtek is a company specializing in integrated photonics, offering end-to-end design of Photonic Integrated Circuits (PICs) for defense, telecom, medical, and sensing applications. They also develop high-performance inertial sensors for precise navigation in GPS-denied environments, including advanced gyroscopes, accelerometers, and IMUs. Additionally, PhoQtek is developing next-generation AI agents for data automation and workflow management to enhance enterprise agility. Their core values include integrity, innovation, reliability, a customer-centric approach, and collaboration. The company is based in Hyderabad, India, and emphasizes defense-grade quality and a cross-disciplinary team for seamless chip-to-system integration.

PhoQtek is a company specializing in integrated photonics, offering end-to-end design of Photonic Integrated Circuits (PICs) for defense, telecom, medical, and sensing applications. They also develop high-performance inertial sensors for precise navigation in GPS-denied environments, including advanced gyroscopes, accelerometers, and IMUs. Additionally, PhoQtek is developing next-generation AI agents for data automation and workflow management to enhance enterprise agility. Their core values include integrity, innovation, reliability, a customer-centric approach, and collaboration. The company is based in Hyderabad, India, and emphasizes defense-grade quality and a cross-disciplinary team for seamless chip-to-system integration.
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.
GPS - Denied Navigation Development
• Implement, test, and tune Visual–Inertial 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 camera–based 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
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 You’ll 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