Physical AI Robotics Architect

Proactive Technical Limited; Germany (OH); On-site; USD 150,000 - 210,000; Full time

Job summary

Proactive Global seeks a Senior Architect, Physical AI and Robotics to lead internal product engineering and major programs involving Physical AI and Autonomous Robotics with Fortune 1000 clients. The role requires a bold, results-driven leader who will design platforms, steer implementation, and collaborate with clients and technology partners.

You will drive R&D strategy, oversee end-to-end perception-to-action pipelines, and coordinate with AI/data engineers, partners, and customers to ensure

Qualifications

• Strong experience in perception, autonomy, or robotic control for Automotive, Manufacturing, or High Tech industries.
• Deep understanding of autonomous driving and/or robotic control domains and related use cases.
• Proficiency in ML workflows, data pipelines, and model deployment.

Responsibilities

• R&D and Technology Strategy: Develop and bring to market physical AI solutions for autonomous machinery and robotics, leading RnD teams and strategy across industries.
• Solutioning and Engineering: Lead physical AI programs for Fortune-1000 clients, directing AI/data engineers on client engagements.
• Partnership Development: Build relationships with technology partners (AWS, Azure, NVIDIA) to create licensable artifacts.

Skills

Robotics

Autonomous systems

Computer vision

MLOps

Cloud data

Leadership

AI research

Tools

AWS

Azure

NVIDIA Jetson

NVIDIA IsaacSim

Carla

PyTorch/JAX

Job description

We're looking for a Senior Architect, Physical AI and Robotics to lead internal product engineering and major programs around Physical AI and Autonomous Robotics with Fortune 1000 clients. We are looking for a result-oriented thought-leader to design Physical AI and Autonomous Robotics platforms, guide their implementation, and collaborate with clients and technology partners.

Responsibilities:

• R&D and Technology Strategy: Create and bring to the market solutions in physical AI with a focus on autonomous machinery and robotics. Drive innovation through research and development activities on industry trends, leading RnD teams, developing assets and solutions strategy across multiple industries.
• Solutioning and Engineering: Lead physical AI and manufacturing IoT programs of Fortune-1000 enterprises and lead teams of AI and data engineers who work on client accounts and drive engagements to success.
• Partnership Development: Develop relationships with key technology partners such as AWS, Azure, GPC, and NVIDIA by creating licensable artifacts.

Requirements:

• Strong experience in creating perception, autonomy, or robotic control solutions for Automotive, Manufacturing, or High Tech industries. Deep understanding of autonomous driving and/or robotic control domains (cars, off-road machinery, AGVs, drones, or perception-centric manipulation), its challenges, use cases, and solution strategies.
• Strong experience with conventional computer vision, navigation, policy control, and end-to-end perception to action pipelines. Good understanding of deep learning fundamentals, model design principles, training and tuning techniques.
• Strong understanding of MLOps and simulation, and corresponding tooling including open-source, cloud native, and proprietary. Hands-on expertise with end-to-end pipelines involving data ingestion, annotation, simulation, model creation, model deployment, and production observability.
• Practical experience in Big Data engineering, data strategies, and cloud data platforms. Strong understanding of cloud-based architectures for data collection, aggregation, governance, and reporting.
• Experience with leading teams of senior technologists, running product engineering or consulting organizations. Willingness and ability to drive internal RnD, technical pre-sales, and solution deployment and delivery.

Technology skills:

• Strong expertise evaluating, customizing, and deploying perception and action models using PyTorch/JAX: segmentation and objects detection, motion generation and VLA, video generation and world models. Deep understanding of model design, evaluation, selection, and observability methodologies.
• Strong expertise with autonomous driving stack: simulation using NVIDIA IsaacSim or Carla, data augmentation using NVIDIA Cosmos or similar, edge-hardware feasibility analysis, safety and validation architectures.
• Strong expertise with relevant AWS/Azure services, open source AI platforms, and edge devices: Ray.io, Sagemaker, Airflow, DVC, MLFlow, TensorRT, NVIDIA Jetson.

Proactive Global is committed to equality in the workplace and is an equal opportunity employer.