Staff Perception Engineer – Autonomous Systems

SKEYEBOTS; Bengaluru; Hybrid; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Competitive compensation

Significant ESOP allocation

Collaboration with founding team on strategy

Job summary

SKEYEBOTS in India is seeking a Staff Perception Engineer to manage their entire perception stack for autonomous systems across various environments. You will lead a team and set the technical direction for multi-modal sensor fusion projects.

The ideal candidate has over 8 years of experience and a relevant PhD or Master's. You will engage directly with the founding team on innovative perception strategies, while enjoying a competitive compensation package and hybrid work opportunities.

Qualifications

• 8+ years hands-on CV/perception engineering experience; 10+ years total professional software engineering.
• Track record of shipping perception systems into real, deployed autonomous platforms.
• Experience leading or managing engineers.

Responsibilities

• Own SKEYEBOTS' entire perception stack from sensor fusion to state estimation.
• Set technical direction and manage junior engineers.
• Lead the perception R&D roadmap and active learning pipelines.

Skills

Deep ROS/ROS2 expertise

C++

Python

Multi-modal sensor fusion

Multi-object tracking

Deep learning deployment

Camera calibration

Probabilistic estimation

3D geometry

Education

PhD or Master's in Computer Vision

Tools

NVIDIA Jetson

TensorRT

PyTorch

TensorFlow

Job description

SKEYEBOTS | India | Full-Time | Hybrid

About SKEYEBOTS

SKEYEBOTS builds AI-driven autonomous systems for unmanned platforms operating across aerial, ground, and maritime environments — where perception failures are not an option.

We are not looking for people who want to maintain. We are looking for engineers who want to build and lead.

The Role

We are looking for a Staff Perception Engineer to own SKEYEBOTS' entire perception stack — from multi-modal sensor fusion through real-time detection, tracking, and state estimation — across all platform types. This is a leadership role. You will set the technical direction, manage junior engineers, and define how our platforms see and understand the world.

What You'll Own

• End-to-end perception architecture across aerial, ground, and surface autonomous platforms
• Multi-modal sensor fusion: RGB, depth, thermal/IR, LiDAR, and IMU
• Real-time detection, classification, segmentation, multi-object tracking, and state estimation pipelines
• Visual-inertial odometry, SLAM, and full sensor calibration workflows
• Edge deployment and optimisation on NVIDIA Jetson and custom accelerators (TensorRT, ONNX, CUDA)
• Integration with ROS/ROS2, AI planning, and controls subsystems
• Simulation environments and sim-to-real validation pipelines
• Perception R&D roadmap, dataset curation, and active learning pipelines
• Team leadership: 1–2 direct reports from day one, growing with the organisation

What We're Looking For

Required

• PhD or Master's in Computer Vision, Robotics, Electrical Engineering, CS, or a closely related discipline
• 8+ years hands-on CV/perception engineering experience; 10+ years total professional software engineering
• Deep ROS/ROS2 expertise: nodes, TF2, topics, services, actions, and launch systems
• Strong C++ for performance-critical code; Python for tooling and rapid development
• Multi-modal sensor fusion: cameras, LiDAR, IMU, thermal/IR in real-world conditions
• Multi-object tracking: Kalman filter architectures, SORT, ByteTrack, or equivalent
• Deep learning deployment: PyTorch or TensorFlow with TensorRT or ONNX on edge hardware
• Camera calibration, stereo vision, visual odometry, and VIO
• Solid grounding in probabilistic estimation, 3D geometry, and linear algebra
• Track record of shipping perception systems into real, deployed autonomous platforms
• Experience leading or managing engineers

Preferred

• SLAM: ORB-SLAM3, RTAB-Map, or similar
• LiDAR-inertial fusion: LIO-SAM, FAST-LIO, or similar
• VIO: VINS-Mono, Kimera, OpenVINS, or equivalent
• Aerial, ground, or maritime autonomous platform experience
• MAVLink, PX4, or ArduPilot familiarity
• Uncertainty quantification for safety-critical perception
• Custom CUDA kernel writing for edge inference optimisation
• Open-source ROS or CV project contributions

What You'll Get

• Competitive compensation + significant ESOP allocation — structured for a leadership role; discussed with the right candidate
• Direct collaboration with the founding team on perception strategy and roadmap
• The mandate to build and grow SKEYEBOTS' perception organisation
• Your work deploys into real, operational platforms — aerial, ground, and surface

Location

Kochi (Kerala) or Bangalore (Karnataka) — hybrid, with remote flexibility. Specific arrangement and any relocation support discussed during the interview process.

How to Apply

Please apply through LinkedIn or send your CV and a brief note — the hardest multi-sensor fusion problem you have solved on a real deployed platform, what broke, and how you fixed it (Please send the same on LinkedIn).We move quickly. Strong profiles hear from us within a week.

SKEYEBOTS is an equal opportunity employer. We evaluate candidates solely on capability, experience, and drive.