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Senior Architect, Physical AI and Robotics

Grid Dynamics Holdings, Inc

Remote • Today

Full-time

Job Details

Skills

IT Strategy
FOCUS
Robotics
Innovation
Research and Development
Manufacturing
IoT
Collaboration
Partnership
GPC
Automotive Manufacturing
Use Cases
Computer Science
Software Engineering
Machine Learning (ML)
Computer Vision
Deep Learning
Training
Machine Learning Operations (ML Ops)
Big Data
Data Collection
Reporting
Team Leadership
Sales
Customization
PyTorch
JAX
Video
Evaluation
Cosmos
Computer Hardware
Feasibility Study
Amazon Web Services
Microsoft Azure
Open Source
IO
Amazon SageMaker
Health Insurance
Professional Development
IT Consulting
Product Engineering
Advanced Analytics
Business Acumen
Business Transformation
Leadership
Artificial Intelligence
Data Analysis
Cloud Computing
DevOps
Software Modernization
Customer Experience
GRID
Dynamics

IT Strategy
FOCUS
Robotics
Innovation
Research and Development
Manufacturing
IoT
Collaboration
Partnership
GPC
Automotive Manufacturing
Use Cases
Computer Science
Software Engineering
Machine Learning (ML)
Computer Vision
Deep Learning
Training
Machine Learning Operations (ML Ops)
Big Data
Data Collection
Reporting
Team Leadership
Sales
Customization
PyTorch
JAX
Video
Evaluation
Cosmos
Computer Hardware
Feasibility Study
Amazon Web Services
Microsoft Azure
Open Source
IO
Amazon SageMaker
Health Insurance
Professional Development
IT Consulting
Product Engineering
Advanced Analytics
Business Acumen
Business Transformation
Leadership
Artificial Intelligence
Data Analysis
Cloud Computing
DevOps
Software Modernization
Customer Experience
GRID
Dynamics

Summary

Grid Dynamics (NASDAQ:GDYN) is 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.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX145791
Position Id: 35f93d5a04cd922e2995deb11b4c44a6
Posted 8 hours ago

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Job Details

Skills

IT Strategy
FOCUS
Robotics
Innovation
Research and Development
Manufacturing
IoT
Collaboration
Partnership
GPC
Automotive Manufacturing
Use Cases
Computer Science
Software Engineering
Machine Learning (ML)
Computer Vision
Deep Learning
Training
Machine Learning Operations (ML Ops)
Big Data
Data Collection
Reporting
Team Leadership
Sales
Customization
PyTorch
JAX
Video
Evaluation
Cosmos
Computer Hardware
Feasibility Study
Amazon Web Services
Microsoft Azure
Open Source
IO
Amazon SageMaker
Health Insurance
Professional Development
IT Consulting
Product Engineering
Advanced Analytics
Business Acumen
Business Transformation
Leadership
Artificial Intelligence
Data Analysis
Cloud Computing
DevOps
Software Modernization
Customer Experience
GRID
Dynamics

IT Strategy
FOCUS
Robotics
Innovation
Research and Development
Manufacturing
IoT
Collaboration
Partnership
GPC
Automotive Manufacturing
Use Cases
Computer Science
Software Engineering
Machine Learning (ML)
Computer Vision
Deep Learning
Training
Machine Learning Operations (ML Ops)
Big Data
Data Collection
Reporting
Team Leadership
Sales
Customization
PyTorch
JAX
Video
Evaluation
Cosmos
Computer Hardware
Feasibility Study
Amazon Web Services
Microsoft Azure
Open Source
IO
Amazon SageMaker
Health Insurance
Professional Development
IT Consulting
Product Engineering
Advanced Analytics
Business Acumen
Business Transformation
Leadership
Artificial Intelligence
Data Analysis
Cloud Computing
DevOps
Software Modernization
Customer Experience
GRID
Dynamics

Summary

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

Dice Id: RTX145791
Position Id: 35f93d5a04cd922e2995deb11b4c44a6
Posted 8 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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