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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level CV role in a metro with common title and 3–6 year target increases applicant competition.
Requires niche embedded vision and navigation experience, limiting transferability across industries.
Explicit 5+ years CV experience and embedded real-time deployment requirements enforce strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement vision-based navigation and target detection/tracking to improve positioning and terminal-phase guidance accuracy.
Collaborate with flight-control team to integrate vision-derived data into navigation solutions under real-time constraints.
Select and integrate onboard camera/sensor hardware considering size, weight, power, and compute/latency budgets; validate system performance in varied real-world conditions.
Minimum Requirements
B.Tech or M.Tech degree in Computer Vision, Robotics, or related field.
5+ years of applied computer vision experience with embedded/real-time deployment preferred.
Strong expertise in visual odometry, terrain-referenced navigation, or object detection/tracking.
Proficiency in Python and C++ plus experience with standard CV/ML frameworks and deploying on constrained hardware.
Ideal Candidate Profile
Experience working on vision-based navigation or terminal guidance in embedded/real-time systems.
Background in GNSS-denied navigation or scene-matching techniques is advantageous.
Demonstrated ability to manage complex sensor hardware integration and compute/latency budgeting in constrained environments.