Job highlights

- Experience building end-to-end system architecture with focus on execution speed and efficiency . Bachelors in computer science / Electrical / Electronics / Communications Engineering . Masters / PhD in fields related to Computer Vision / Robotics / AI is an added advantage . Technical skill Requirements
- Experience Requirements: .

As an AI/ML Engineer (Robotics Research), you will be involved in building the intelligence of the robot, end-to-end. You will focus on leveraging machine learning to marry multi-sensor perception, model prediction and robotic actuation. You will come up with innovative methods / pipelines, bootstrap them in simulation and deploy them to control real robot behavior.

You will come-up with novel ways to engineer, capture data and train models using various sources including real-world behaviors, active planning, feedback-based control, demonstration-based learning, simulation and transfer learning, and real-world adaptation.

Your everyday activities shall include:

- Innovate to come up with smart, new methodologies in robotic perception and control
- Play a key role in end-to-end AI/ML system architecture design
- Theoretical research and hands-on implementation of new AI models, benchmarking and iterating them
- Building Computer Vision modules for robotics applications
- Explore and Identify suitable SOTA models, test/benchmark them for our applications, modify / fine-tune / improve them
- Build model pre-processing and post-processing pipelines in Python / C/C++
- Optimize the stack for real-time execution with focus on efficient programming and faster execution times
- Prototyping & testing concepts, ideas & hypotheses
- Testing various schemas in perception, planning, manipulation & control




- Testing & deploying production ready software

Skills & Requirements:

- Experience Requirements:
- Overall experience ranging from 4 to 8 years in software development.
- At least 4 years of industry experience as an FTE in building, training and testing AI/ML models and Computer Vision applications
- Experience building end-to-end system architecture with focus on execution speed and efficiency
- Bachelors in computer science / Electrical / Electronics / Communications Engineering
- Masters / PhD in fields related to Computer Vision / Robotics / AI is an added advantage

- Technical skill Requirements
- Excellent understanding of architectures in AI, including Transformers, CNNs, RL, Diffusion Policies, Behavioral Cloning, Vision-Action models, VLMs etc. along with their respective applications
- Hands-on with computer vision with strong focus on building edge-deployable high-framerate systems
- Strong coding skills in Python and C/C++ and experience with PyTorch/Tensorflow
- Prior experience in robotic applications is an added advantage
- Experience with GPU optimization for edge-deployable applications is a big plus
- Strong aptitude towards debugging and root-cause analysis
- Strong intuition for relevant math & physics, coordinate geometry, trigonometry, calculus, linear algebra
- Good understanding of state-of-the-art robotics research
- Positive theoretical / mathematical understanding of robotic manipulators (Forward & Inverse kinematics, Jacobian, DH representations, path planning, control schema, etc.) is an added advantage.

- Soft skill Requirements
- Passionate about Robotics & AI.
- Be resourceful and creative about getting things done with a sense of urgency.
- Go-getter attitude
- Experience in building / guiding a team will be an added advantage

📌 AI/ML Engineer (Robotics Research)/ (Hyderabad)
🏢 Perceptyne Robots
📍 Hyderabad