Computer Vision Engineer at Cybernetyx Interaktiv · Remote only · 3 - 7 years · ₹5L - ₹20L / yr · Profitable · Remote only · Posted 16 Oct 2023

Why Cybernetyx?
- Work on groundbreaking machine vision projects that leverage the latest advancements in AI.
- Join a team of leading experts in machine vision, AI, and machine learning. Competitive salary, exceptional benefits, and flexible work options. Opportunity for continuous learning and development.
- Make a tangible impact in the tech industry and beyond.
About Our Team:
You will be a part of a cutting-edge team that specializes in the development of machine vision-based AI products. Our team is committed to pushing the boundaries of what's possible, delivering solutions that revolutionize various industries.
Your Day-to-Day Role:
- Developing and optimizing vision algorithms in C/C++.
- Collaborate with cross-functional teams to integrate machine vision capabilities into larger systems and products.
- Software Engineer - Computer Vision at Cybernetyx 1
- Implement real-time processing techniques for handling video and image data.
- Conduct research to improve existing technologies and contribute to product development.
- Utilize QT for application development, if applicable.
- Leverage OpenCV library for computer vision tasks.
What Are We Looking For:
- 4+ years of experience in C/C++ programming.
- Experience with QT is beneficial but not mandatory.
- Knowledge of OpenCV library is a plus but not required.
- Strong understanding of machine vision, image processing, and AI algorithms. Analytical mindset with strong problem-solving skills.
- Ability to work in a fast-paced, collaborative environment.

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Position: Computer Vision Engineer
Experience: 2–3 Years
Location: Bengaluru, Karnataka
Employment Type: Full-time
About the Role
We are seeking a highly motivated Computer Vision Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating computer vision models and algorithms and pipelines for UAVs operating in both GNSS-available and GNSS-denied environments.
The ideal candidate should have a strong foundation in theory of deep learning and machine learning, strong understanding of electromagnetic spectrum, imaging fundamentals, camera principles, and mathematical concepts with hands-on experience in implementing these algorithms on embedded or real-time systems.
Key Responsibilities
- Design, develop, and optimise AI Models
- Make custom CNNs/ modify existing CNNs to suit specific problems at hand
- Handle end-to-end training flow
- Implement end to end inference pipelines on standard PCs as well as on embedded systems
- Understand performance benchmarks and assess the accuracy and inference times
- Implement traditional image processing algorithms
- Factor the code to leverage underlying hardware architecture
- Prune the networks for efficiency
- Integrate the system within the application framework using C++
- Work closely with perception, controls, embedded software, and systems engineering teams.
Required Qualifications
- B.E./B.Tech/M.E./M.Tech in Computer Science and Engineering, Electronics, ECE, Mechatronics, or a related discipline.
- 2–3 years of experience in relevant area
- Strong understanding of: Linear Algebra, Probability and Statistics, AI-ML-DL fundamentals, Image processing, Camera Functioning
- Strong programming skills in C++ and Python.
- Experience with MATLAB for algorithm development and validation.
- Familiarity with Linux development environments.
- Experience with Git version control.
Preferred Skills
- Experience with Camera, IMU Calibration and Synchronisation
- Experience with multi-sensor fusion.
- Experience working with NVIDIA devices
- Experience on FPGA will be an added advantage
- Full understanding of Git functionality
- Exposure to airborne software development processes and coding standards (e.g., MISRA C++).
Personal Attributes
- Strong analytical and problem-solving skills.
- Ability to work independently on challenging technical problems.
- Good communication and documentation skills.
- Passion for solving challenging problems
- Willingness to participate in field trials and flight testing.
- Team playwe







