Job Description
JD – Perception & Intelligence Engineer
Location: Pune
Experience: 2-5 Years
Education: B. E. / B. Tech / M. Tech in Computer Science, AI, Robotics, or related fields
Employment Type: Full-time
Reports To: Engineering Manager
About the Company:
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 are looking for a Perception / Computer Vision Engineer to design, develop, and deploy real-time vision systems for autonomous and intelligent robotic platforms. This role involves working closely with real sensor data, production constraints, and cross-functional robotics teams to convert perception algorithms into reliable, deployable systems.
Key Responsibilities:
1. Computer Vision & Perception Development
Design and implement computer vision pipelines using Open CV and Python
Develop and fine-tune YOLO-based object detection models (YOLOv5 / YOLOv7 / YOLOv8)
Work on object detection, tracking, classification, and region-of-interest extraction
Handle challenges related to lighting variation, motion blur, occlusion, and noise
Perform camera calibration, distortion correction, and image preprocessing
2. Model Training & Optimization
Prepare and manage datasets: annotation, augmentation, and validation
Train, evaluate, and fine-tune YOLO models for real-world performance
Optimize models for latency, FPS, and memory usage
Analyze false positives / false negatives and improve model robustness
3. Deployment & Integration
Integrate perception modules with robotics software stacks
Ensure real-time inference on edge/embedded systems
Collaborate with autonomy, controls, and hardware teams
Debug perception issues during field testing and deployments
4. Engineering & Collaboration
Write clean, modular, and well-documented Python code
Participate in design reviews and technical discussions
Take ownership of perception components from concept to deployment
Continuously improve system reliability and performance
Must-Have Skills:
Strong proficiency in Python
Hands-on experience with Open CV
Practical experience with YOLO (training, inference, evaluation)
Solid understanding of computer vision fundamentals
Experience working with real-world camera data
Experience with Deep Learning frameworks (Py Torch / Tensor Flow)
Knowledge of ROS / ROS2
Experience in robotics or industrial automation
Model deployment on edge devices (Jetson, CPU-only, etc.)
Basic understanding of sensor fusion concepts
Soft Skills:
Strong communication and coordination
Ownership and accountability
Problem-solving and proactive approach
Adaptability in a fast-paced environment
Team collaboration and positive attitude
What We Value:
Ability to move from research → production
Strong problem-solving and debugging skills
Ownership mindset and accountability
Comfort working in a fast-paced startup environment
Curiosity and willingness to learn continuously
Why Join Us:
Work on real robots in production environments
Solve meaningful perception problems, not just lab demos
High ownership and direct impact on deployed systems
Collaborative team with deep technical focus
Ready to make an impact?
Share your resume or even a short note about why you’d love to join us at
We’re excited to meet passionate people who love taking ownership and growing fast!
Location: Pune
Experience: 2-5 Years
Education: B. E. / B. Tech / M. Tech in Computer Science, AI, Robotics, or related fields
Employment Type: Full-time
Reports To: Engineering Manager
About the Company:
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 are looking for a Perception / Computer Vision Engineer to design, develop, and deploy real-time vision systems for autonomous and intelligent robotic platforms. This role involves working closely with real sensor data, production constraints, and cross-functional robotics teams to convert perception algorithms into reliable, deployable systems.
Key Responsibilities:
1. Computer Vision & Perception Development
Design and implement computer vision pipelines using Open CV and Python
Develop and fine-tune YOLO-based object detection models (YOLOv5 / YOLOv7 / YOLOv8)
Work on object detection, tracking, classification, and region-of-interest extraction
Handle challenges related to lighting variation, motion blur, occlusion, and noise
Perform camera calibration, distortion correction, and image preprocessing
2. Model Training & Optimization
Prepare and manage datasets: annotation, augmentation, and validation
Train, evaluate, and fine-tune YOLO models for real-world performance
Optimize models for latency, FPS, and memory usage
Analyze false positives / false negatives and improve model robustness
3. Deployment & Integration
Integrate perception modules with robotics software stacks
Ensure real-time inference on edge/embedded systems
Collaborate with autonomy, controls, and hardware teams
Debug perception issues during field testing and deployments
4. Engineering & Collaboration
Write clean, modular, and well-documented Python code
Participate in design reviews and technical discussions
Take ownership of perception components from concept to deployment
Continuously improve system reliability and performance
Must-Have Skills:
Strong proficiency in Python
Hands-on experience with Open CV
Practical experience with YOLO (training, inference, evaluation)
Solid understanding of computer vision fundamentals
Experience working with real-world camera data
Experience with Deep Learning frameworks (Py Torch / Tensor Flow)
Knowledge of ROS / ROS2
Experience in robotics or industrial automation
Model deployment on edge devices (Jetson, CPU-only, etc.)
Basic understanding of sensor fusion concepts
Soft Skills:
Strong communication and coordination
Ownership and accountability
Problem-solving and proactive approach
Adaptability in a fast-paced environment
Team collaboration and positive attitude
What We Value:
Ability to move from research → production
Strong problem-solving and debugging skills
Ownership mindset and accountability
Comfort working in a fast-paced startup environment
Curiosity and willingness to learn continuously
Why Join Us:
Work on real robots in production environments
Solve meaningful perception problems, not just lab demos
High ownership and direct impact on deployed systems
Collaborative team with deep technical focus
Ready to make an impact?
Share your resume or even a short note about why you’d love to join us at
We’re excited to meet passionate people who love taking ownership and growing fast!
Apply for this Position
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