Founding Researcher Robotics

Location: Noida, Delhi NCR

Starting Date: April 2026 (or sooner)

Compensation: 50 LPA + Significant ESOPS

As a founding engineer (Robotics) you will build the data and model infrastructure powering our business - from raw video ingestion through task annotation to model-ready formatting. This is a high-context, high-impact role at the frontier of embodied AI, ideal for someone who moves fluidly between research and production. You won’t be handed a roadmap; you will write it.

WHAT YOU WILL BUILD

• Egocentric Data Pipeline: Own end-to-end: raw video ingestion → task annotation → model-ready formatting. Quality, throughput, and scalability are all yours
• LLM-Powered Annotation: Design and maintain workflows that translate raw egocentric footage into structured, high-fidelity labels at scale, with minimal human bottlenecks
• VLA Integration: Stay at the frontier of VLA research (SmolVLA, π0.5, and what comes next). Rapidly integrate advances into our stack before they are mainstream
• Lab Interface: Serve as the technical bridge to external AI labs and research partners navigating data format requirements, aligning on evaluation protocols, and maintaining trust.
• Model Optimisation: Profile and optimise CV models (e.g. HaMeR) end-to-end, from algorithmic improvements through TensorRT/Triton deployment for high-throughput GPU execution.

WHAT WE NEED

• Experience: 3+ years in applied AI/CV engineering, robotics research, or a closely related field with demonstrably exceptional ability
• VLA Depth: Deep, current knowledge of OSS VLA architectures and the embodied AI landscape. You read the papers the week they drop.
• PyTorch Mastery: Expert-level: model training, custom layer design, systematic profiling. You know what’s happening at the CUDA kernel level.
• Inference Engineering: Proven deployment and optimisation with TensorRT/Triton for high-throughput production GPU execution
• Annotation at Scale: Demonstrated experience building LLM-assisted video annotation pipelines - not toy demos, real throughput.
• Research Communication: You can hold a precise technical conversation with a frontier lab and leave with exactly what both sides need

WHY THIS ROLE

• A front-row seat to building the most important dataset for physical AI from the ground up
• Work alongside a small, high-calibre team from UC Berkeley, IIT Bombay, and BITS Pilani
• Direct, day to day, collaboration with frontier research labs in AI & robotics
• Founding equity and the chance to define how embodied AI data infrastructure is built, not just participate in it