Senior Lead Computer Vision Engineer
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
We are looking for a Senior/Lead Computer Vision Engineer (C / Embedded Vision / Autonomous Systems) to design and build high-performance perception systems for autonomous platforms robotics and advanced navigation operating under strict real-time and hardware constraints.
You will shape the architecture implementation and optimization of the entire vision pipeline - from geometric processing and object detection to tracking sensor fusion and integration with control systems. This role is ideal for someone who can independently solve hard technical problems and deliver reliable systems on embedded hardware.
You will work directly on defense projects for Ukraine seeing a short path from code implementation to field testing.
What We Offer
- The chance to design mission-critical autonomous vision systems.
- Direct contribution to defense projects for Ukraine.
- Collaboration with top experts in vision robotics and embedded systems.
- Ownership of key architectural and technical decisions.
- Competitive compensation based on experience.
- Temporary military service exemption for work on defense-critical projects.
- Budget: 4000-8000 usd gross (depends on the skills and seniority)
Requirements
Core Technical Skills
- 10 years commercial software development; 5 years in CV/ML or robotics.
- Degree in Computer Science Math Physics or similar.
- Proven record of successful design and implementation of real-time CV or control algorithms.
- Strong in:
- Object detection & tracking Kalman filtering sensor fusion.
- Camera calibration multi-view geometry 3D reconstruction.
- SLAM / visual odometry.
- Real-time control or optimal control algorithms.
- Expertise with PyTorch or TensorFlow.
- Embedded ML optimization: TensorRT ONNX quantization pruning.
- Excellent C14/17/20 and solid Python.
- Experience with:
- NVIDIA Jetson ARM SoCs.
- Low-latency video pipelines: GStreamer DeepStream.
- OpenCV linear algebra numerical methods.
- ROS/ROS2.
- Building reliable real-time systems in challenging conditions.
- Ability to work independently with minimal supervision.
Responsibilities
- Architect and implement vision algorithms for autonomous platforms.
- Optimize CV/ML models for real-time performance on constrained hardware.
- Design and maintain low-latency camera pipelines (GStreamer CUDA DeepStream).
- Integrate vision with navigation sensor fusion (IMU) and control systems.
- Perform camera calibration geometric vision and sensor alignment.
- Research and evaluate new algorithms to further improve accuracy robustness and performance.
- Participate in hardware/sensor selection and system architecture design.
- Ensure robustness safety and performance of deployed systems.
- Support field testing and system maintenance.
Nice to Have
- Experience with:
- Night-vision cameras infrared sensors.
- Autonomous robotics drones UGVs UAV/UGVs.
- Multi-sensor fusion (Camera IMU LiDAR).
- Real-time CV.
- MLOps / deployment pipelines.
- Experience with ArduPilot/PX4 MAVLink or Betaflight integration.
- Mission-critical or functional safety systems.
- Web/cloud monitoring or remote telemetry tools.
Language requirements:
English B1-B2 Intermediate
Ukrainian C2 Fluent
About the client:
This is a dynamic and rapidly developing company founded by experienced professionals. They offer exciting software engineering opportunities for Ukrainian engineers and work with clients both locally and internationally. They provide a full range of software development services across multiple business verticals and a broad technological landscape.
Interview stages:
- Interview with the agency recruiter and the clients representative focusing on experience and organizational aspects.
- Technical interview.
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