Lead Engineer – Physical AI

Location: Bengaluru, India

Experience: 3+ years

Role Type: Full time

About the Role

We are making a significant investment in Physical AI and are looking for a hands-on technical leader to build and lead this capability from Bengaluru.

The role will focus on applying computer vision, video intelligence, multimodal AI, and machine learning to real-world industrial environments.

We are looking for someone who can move from research to prototype to production, while gradually building and leading a strong Physical AI team.

This is not a conventional engineering-management role. We want a builder who can become a technical leader.

What You Will Work On

You will build AI systems that can understand physical activity from video, cameras, sensors, and other real-world signals.

Key problem areas include

- Video and activity understanding
- Vision-Language and Video-Language Models
- Object, equipment, and tool recognition
- Action and workflow recognition
- Temporal and sequence understanding
- Human-object interaction
- State-change detection
- Workflow deviation and anomaly detection
- Time-and-motion analysis
- Real-time or near-real-time AI assistance
- Edge and cloud-based inference

You will also evaluate emerging technologies across Physical AI, world models, multimodal foundation models, robotics perception, NVIDIA Cosmos/Metropolis, synthetic data, and edge AI.

What You Will Own

You will

- Define the technical direction for the Physical AI capability
- Build and validate prototypes quickly
- Decide when to use foundation models, specialized models, fine-tuning, or traditional computer vision




- Design scalable video and multimodal AI pipelines
- Take successful prototypes into production
- Establish evaluation, monitoring, and inference architecture
- Work closely with product leadership on real-world use cases
- Recruit and mentor engineers as the capability grows
- Help shape the company’s long-term Physical AI strategy

What We Are Looking For We care more about what you have built than the number of years on your résumé.

You should have 3+ years of relevant experience in areas such as:

- Physical AI
- Computer Vision
- Multimodal AI
- Robotics
- Video Intelligence
- Applied Machine Learning

Strong hands-on experience in several of the following is expected:
- Python and PyTorch
- Deep Learning and Transformers
- Computer Vision
- Video processing
- Vision-Language Models
- Object detection, segmentation, and tracking
- Human-action or activity recognition
- Temporal modelling
- Model training and fine-tuning
- GPU inference
- AI/ML evaluation

Particularly Relevant Experience We are especially interested in candidates who have worked on:

- Industrial computer vision
- Robotics perception
- Autonomous systems
- Manufacturing AI
- Video analytics
- Visual inspection
- Workflow or activity recognition
- Edge AI
- AR / wearable AI
- World models or embodied AI





Direct industrial experience is useful but not mandatory. Educational Background A strong academic foundation in Computer Science, AI, Machine Learning, Computer Vision, Robotics, Electrical Engineering, or related fields is preferred.

A Master’s or PhD is valuable but not required. Strong product-building, startup, research, or open-source experience can outweigh academic pedigree.

What Will Make You Stand Out

You may be an exceptional fit if you have:

- Built a real-world computer-vision or multimodal AI product
- Worked extensively with video rather than only images
- Built real-time vision or edge-AI systems
- Fine-tuned multimodal or video models
- Worked in robotics or autonomous systems
- Used NVIDIA’s AI ecosystem
- Contributed to relevant open-source projects
- Published research in areas such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS, or similar venues
- Built an AI startup or significant independent product

Who We Are Looking For

You are

- Highly hands-on
- Curious about frontier AI
- Comfortable with ambiguity
- Product-oriented
- Pragmatic about technology choices
- Able to move quickly from research to working systems
- Entrepreneurial
- Capable of leading from the front

Why This Role This is an opportunity to build a new AI capability from the ground up.

You will help define the technology, architecture, roadmap, and team — and work on ambitious problems at the intersection of AI, computer vision, multimodal intelligence, and the physical world.

Interested, Please drop your resume at [email protected]

📌 Lead Engineer – Physical AI (Bengaluru)
🏢 VRIO Digital
📍 Bengaluru