Computer Vision Engineer

Sakar Robotics Pvt Ltd; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive compensation including ESOP

Professional development opportunities

Collaborative work environment

Job summary

Sakar Robotics Pvt Ltd in Pune is seeking a Computer Vision Engineer to design and develop advanced vision systems for automated inspections. This role includes building production-grade computer vision stacks and integrating them with robotic platforms. Candidates should have a bachelor's degree in a related field, 3-7 years of experience in computer vision, and proficiency in Python and OpenCV. The position offers a dynamic work environment focused on innovative problem-solving and professional growth, with competitive compensation and opportunities for development.

Qualifications

• 3-7 years of hands-on experience in computer vision development.
• Experience with visual inspection, quality control, and defect detection systems.
• Background in robotics integration highly desirable.

Responsibilities

• Design and implement computer vision pipelines for inspection.
• Develop algorithms for defect detection and quality assessment.
• Integrate vision systems with robotic platforms.

Skills

OpenCV

Computer Vision Techniques

Python Programming

C++

Deep Learning

Education

Bachelor's or Master's degree in Computer Science, Electronics Engineering, Robotics

Tools

NVIDIA Jetson

ROS

TensorFlow

Docker

Job description

We founded Sakar Robotics to collapse fragmented point solutions into a single extensible mobile manipulation platform. Traditional automation requires bespoke integration per workflow—slow to deploy, rigid to evolve. We built a composable stack where perception, autonomy, manipulation and orchestration cooperate natively.

Guided by field feedback across regulated, high‑mix and throughput‑critical domains, we iterate on production reality—not lab abstractions—building durable leverage for customers.

Our mission is to deliver a unified robotics platform that can be rapidly configured to execute diverse workflows—reducing time‑to‑value, elevating safety, and embedding continuous improvement loops into daily operations.

Role Summary

We're seeking an experienced Computer Vision Engineer to design, develop, and deploy robust vision systems for automated visual inspection integrated with our mobile manipulator robots. This role is critical to delivering quality inspection solutions across manufacturing, warehousing, and industrial environments.

Build production-grade computer vision stack for visual inspection applications that seamlessly integrates with our robotic platforms to enable automated quality control, defect detection, dimensional verification, and compliance inspection across diverse industrial use cases.

Key Responsibilities:

Design and implement end-to-end computer vision pipelines for industrial inspection applications

Develop robust algorithms for defect detection, classification, measurement, and quality assessment

Build vision systems for various inspection scenarios: surface defects, dimensional accuracy, assembly verification, component identification, OCR/text recognition, anomaly detection

Optimize vision algorithms for real-time performance on edge devices and embedded platforms

Integrate vision systems with robotic motion planning and control for coordinated inspection workflows

Develop calibration procedures for cameras and vision sensors in robotic systems

Build data pipelines for image acquisition, preprocessing, augmentation, and annotation

Design, train, and deploy deep learning models for classification, object detection, segmentation, and anomaly detection

Implement classical computer vision techniques where appropriate (edge detection, feature extraction, template matching, morphological operations)

Develop custom models tailored to specific industrial inspection requirements

Create synthetic data generation pipelines to augment training datasets

Perform model optimization, quantization, and compression for deployment on edge devices

Implement active learning and continuous improvement frameworks

Benchmark and evaluate model performance across accuracy, speed, and robustness metrics

3. System Integration & Deployment

Integrate vision systems with ROS-based robotic platforms

Work with hardware team to specify and select appropriate cameras, lighting, and sensors

Develop APIs and interfaces for vision system integration with broader automation stack

Deploy models on edge computing platforms (NVIDIA Jetson, Intel NUC, or custom hardware)

Implement robust error handling, fault tolerance, and system monitoring

Ensure vision systems meet industrial reliability and uptime requirements

4. Testing, Validation & Documentation

Develop comprehensive testing frameworks for vision system validation

Conduct field testing and performance validation at customer sites

Create technical documentation including system architecture, API documentation, and user guides

Collaborate with quality assurance team to establish inspection accuracy benchmarks

Support customer pilots and proof-of-concept deployments

Provide technical training to field engineers and customers

Must-Have Skills:

Computer Vision & Image Processing:

Strong proficiency in OpenCV, PIL/Pillow, scikit-image

Expertise in classical CV techniques: feature extraction, image segmentation, object detection, geometric transformations

Experience with 3D vision, stereo vision, or depth sensing (structured light, time-of-flight)

Knowledge of camera calibration, lens distortion correction, and geometric vision

Hands-on experience with PyTorch or TensorFlow

Experience with vision transformers (ViT, DINO, SAM) is a plus

Knowledge of anomaly detection and one-shot/few-shot learning techniques

Familiarity with MLOps tools and model versioning

Programming & Development:

Expert-level Python programming

Strong understanding of C++ for performance-critical components

Experience with ROS (Robot Operating System) or ROS2

Proficiency with Git, Docker, and CI/CD pipelines

Knowledge of multi-threading, parallel processing, and optimization techniques

Deployment & Edge Computing:

Experience deploying models on NVIDIA Jetson, Intel RealSense, or similar edge platforms

Knowledge of model optimization frameworks (TensorRT, ONNX, OpenVINO)

Understanding of embedded Linux systems

Experience with GPU programming (CUDA) is a plus

Good-to-Have Skills:

Experience with industrial cameras (Basler, FLIR, Allied Vision) and machine vision standards (GigE Vision, GenICam)

Knowledge of industrial lighting techniques and illumination design

Familiarity with 3D reconstruction and point cloud processing (PCL, Open3D)

Experience with synthetic data generation tools (Unity, Unreal Engine, Blender)

Understanding of industrial communication protocols (Modbus, OPC-UA, MQTT)

Soft Skills:

Technical Problem Solving

Strong analytical and debugging skills for complex vision system issues

Ability to balance theoretical knowledge with practical engineering constraints

Creative problem-solving for challenging inspection scenarios

Systematic approach to performance optimization

System Thinking

Understanding of full-stack development from sensor to application layer

Ability to design scalable and maintainable vision architectures

Awareness of hardware-software trade-offs in vision system design

Excellent collaboration skills to work with robotics, mechanical, and software teams

Ability to translate customer requirements into technical specifications

Clear documentation and knowledge sharing practices

Comfortable presenting technical concepts to non-technical stakeholders

Adaptability & Learning

Quick learner who can adapt to new domains and inspection requirements

Stay updated with latest research and industry trends in computer vision

Willingness to work across the full stack from research to deployment

Comfortable with startup pace and evolving requirements

Required Qualifications

Education

Bachelor's or Master's degree in Computer Science, Electronics Engineering, Robotics, or related field

Strong academic background in computer vision, image processing, or machine learning

Experience

3-7 years of hands-on experience in computer vision development with at least 2 years focused on industrial or manufacturing applications

Proven track record of deploying computer vision systems in production environments

Experience with visual inspection, quality control, or defect detection systems

Background in robotics integration or working with robotic systems is highly desirable

Experience with edge deployment and embedded vision systems

What We Offer

Opportunity to build cutting-edge vision systems for real-world industrial applications

Work on diverse and challenging computer vision problems across multiple industries

Collaborate with experienced robotics and automation engineers

Access to state-of-the-art hardware and computing resources

Competitive compensation package including ESOP

Professional development opportunities including conferences and training

Collaborative work environment with focus on outcomes

Direct impact on product development and customer success

Office-based role in Pune

Hands-on work with robotics hardware and vision systems

Occasional travel (20-25%) for customer site deployments and field testing

Collaborative team environment with regular technical discussions and knowledge sharing

We’re excited to meet passionate people who love taking ownership and growing fast!