Senior Architect, Physical AI and Robotics

Essential functions

• 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.

Qualifications

• 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.

• BS, MS in Computer Science, Software Engineering, Machine Learning, or equivalent degree with applicable experience.

• 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.

• 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.

We offer

• Opportunity to work on cutting-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, vision, dental, etc.
• Corporate social events
• Professional development opportunities
• Well-equipped office

Please note that all onboardings must occur in person and you may be asked to travel to attend.

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.