Lead AI Engineer

Origin Control Solutions Ltd; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Origin Control Solutions Ltd in Bengaluru is seeking a senior AI researcher to turn cutting-edge vision-language and diffusion advances into robust real-time systems for construction-site perception and decision-making.

You will own the full lifecycle—from problem definition and literature review to prototyping, offline/online evaluation and production hand-off to perception and controls teams—while mentoring interns and publishing at conferences.

Qualifications

• 8+ years in deep-learning R&D or PhD/MS in CS/EE/Robotics.
• Expert in diffusion models and multimodal transformers.
• Experience building large-scale data-centric AI workflows.
• Proficient in Python, PyTorch, and scalable training.
• Familiar with edge AI runtimes and CUDA/C++ tuning.
• Strong publication record.

Responsibilities

• Research and implement diffusion-based models for robotics vision.
• Architect VLMs and VLA objectives linking work orders, CAD, sensors.
• Lead auto-annotation pipelines for large-scale data.
• Optimize and compress models for edge devices (Jetson, ROS2).
• Oversee full lifecycle from concept to production hand-off.
• Publish internal reports and mentor juniors.

Skills

Diffusion models

Multimodal transformers

Active learning

Python

PyTorch

Experiment tracking

Edge AI runtimes

CUDA/C++ tuning

Research publication

Education

Ph.D./M.S. in CS/EE/Robotics

Tools

Jetson

TensorRT

ONNX Runtime

ROS2

MoveIt 2

Isaac Sim

CUDA

DeepSpeed

Ray

Job description

About Origin

Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labor shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.

About the Role

As a core member of the AI Research team you’ll turn cutting-edge, vision-language and diffusion advances into robust real-time systems that see reason and act on dynamic construction sites.

Key Responsibilities

• Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis and domain adaptation.
• Architect and train Vision-Language Models (VLMs) and Vision-Language Action Models (VLA) objectives that connect textual work orders, CAD plans and sensor data to pixel-level understanding.
• Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort.
• Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2.
• Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation and production hand-off to perception & controls teams.
• Publish internal tech reports and external conference papers; mentor interns and junior engineers.

Qualifications & Skills

• 8+ years in deep-learning R&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record.
• Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo).
• Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision.
• Advanced proficiency in Python, PyTorch (or JAX), experiment tracking and scalable training (PyTorch Lightning, DeepSpeed, Ray).
• Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning.
• Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code.
• Bonus: experience with synthetic data generation in Isaac Sim or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D).