Gritt.ai, a venture of Instant Systems Inc., is building the future of renewable energy construction through AI and Robotics.
We combine groundbreaking science, robotics, and artificial intelligence to automate complex construction processes and make renewable energy deployment faster, smarter, and more scalable.
Founded by tech and education leaders including Vishal Dugar and Puneet Puri, Gritt.ai is part of the rapidly growing robotics industry and is building technology designed to create real-world impact.
About the Role
We are looking for a Perception Engineer to help build the intelligent perception systems that enable our robotic platforms to understand and navigate complex real-world environments.
You will design, develop, and deploy advanced computer vision and perception solutions for robotic systems. Your work will span object detection, 6-DOF pose estimation, localization, sensor fusion, and machine learning.
This role is ideal for an engineer who enjoys solving challenging perception problems, working with real-world sensor data, and turning research into reliable, production-ready robotic systems.
What you'll do
Develop and deploy state-of-the-art computer vision and perception models.
Drive our perception approach with a focus on object detection, 6-DOF pose estimation, mapping, and localization.
Integrate data from multiple sensing modalities, including cameras, LiDAR, radar, and other sensors.
Build and improve data pipelines, model training workflows, and validation infrastructure.
Research and develop advanced perception models for challenging environments, including bright sunlight, shadows, reflections, and occlusions.
Optimize model training and inference for GPU performance, memory usage, and execution speed.
Integrate, test, and deploy reliable, production-ready perception solutions.
Collaborate with robotics, engineering, and other cross-functional teams in a fast-paced environment.
What We're Looking For
4+ years of hands-on experience developing perception solutions for robotic systems.
Strong experience in computer vision, machine learning, deep learning, or related AI fields.
Extensive experience with object detection, pose estimation, mapping, and localization.
Strong proficiency in Python and experience with frameworks such as PyTorch.
Experience working with real-world robotic systems and sensor data.
A degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or another relevant engineering discipline, or equivalent practical experience.
Strong problem-solving skills and the ability to work through complex technical challenges.
Ability to take ownership of projects and deliver with light supervision.
Strong written and verbal communication skills.
Responsibilities
- Develop and deploy advanced computer vision and perception models for robotic systems.
- Build solutions for object detection, 6-DOF pose estimation, mapping, and localization.
- Integrate data from cameras, LiDAR, radar, and other sensing modalities.
- Develop and improve data pipelines, model training, and validation infrastructure.
- Research and optimize perception models for challenging real-world conditions, including shadows, reflections, occlusions, and varying lighting.
- Optimize, integrate, test, and deploy production-ready perception solutions while collaborating with cross-functional engineering teams.
Must Have
- 4+ years of hands-on experience developing perception solutions for robotic systems.
- Strong expertise in computer vision, machine learning, deep learning, or related AI fields.
- Extensive experience with object detection, pose estimation, mapping, and localization.
- Strong proficiency in Python and experience with PyTorch or similar frameworks.
- Experience developing, training, validating, and deploying perception models.
- Strong problem-solving, communication, and ownership skills with the ability to work independently.
Nice to have
- Experience working with cameras, LiDAR, radar, or multi-modal sensor fusion.
- Experience optimizing deep learning models for GPU-based training and inference.
- Experience building perception data pipelines and validation infrastructure.
- Research experience, publications, or contributions in computer vision, robotics, or AI.
- Experience taking perception models from research into production environments.
- Experience working in fast-paced robotics, autonomous systems, or physical AI environments.
What's great in the job?
- Work on real-world robotics and AI problems that directly contribute to renewable energy.
- Build perception systems that enable robots to operate in challenging physical environments.
- Work with advanced computer vision, machine learning, and multi-modal sensing technologies.
- Turn cutting-edge research into production-ready robotic systems.
- Collaborate with engineers and researchers across robotics, AI, and software.
- Take meaningful ownership of technically challenging projects.
- Grow alongside a company working at the intersection of AI, Robotics, and renewable energy construction.
- Make a tangible contribution to automating the future of renewable energy infrastructure.
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Robotics Edge
Work on advanced AI and robotic systems designed to automate real-world renewable energy construction.
Flexible Environment
Work in a flexible environment that promotes work-life balance.
Continuous Learning
Solve challenging technical problems while continuously developing your expertise in AI, computer vision, and robotics.
iThrive Career Growth
Build your skills, receive continuous feedback, and grow through a structured career development path.