Robotics Engineer - AI Specialist
About the job
- An undergraduate or master's degree, completed or in progress, in Robotics, Computer Science, or a related technical field, or equivalent practical experience.
- Current and ongoing work authorization in the country of employment.
- Research experience in machine learning, robotics, and computer vision.
- Experience developing robotics algorithms or machine learning models at scale.
- Programming experience in Python or C++, and a good understanding of deep learning frameworks such as PyTorch or JAX.
- Design methods, tools, and infrastructure to advance robotics and foundation models.
- Develop and adapt advanced AI models, such as Vision-Language-Action models, to robotics applications including computer vision, simultaneous localization and mapping, and navigation.
- Define research goals informed by practical engineering concerns.
- Adapt standard machine learning models and frameworks to robotics applications, including computer vision, simultaneous localization and mapping, and navigation.
- Work with high-fidelity simulation platforms for synthetic data generation.
- Design data-loading and training pipelines for large-scale foundation-model training.
- Contribute to experiments by designing experimental details, writing reusable code, running model evaluations, and organizing results.
- Translate field-tested patterns and customer requirements into scalable, automated features for the GRID platform, and lead data-collection campaigns and model training for specific customer projects, including synthetic data from simulations, teleoperations, and motion capture.
- A master's or PhD in Robotics, Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Direct experience in robotics, computer vision, or machine learning research.
- First-author publications at peer-reviewed AI and robotics conferences such as NeurIPS, CVPR, ICML, ICLR, ICRA, IROS, or CoRL.
- Experience with high-fidelity simulation platforms such as AirSim, CARLA, Isaac Sim, MuJoCo, or ManiSkill.
- Experience building efficient robotics pipelines involving sensor fusion and model inference.
- Experience working with modern computer vision algorithms and sensors, including RGB and RGB-D cameras and LiDAR, 3D meshes and point clouds, segmentation, tracking, and detection.
- A good understanding of systems considerations and the ability to factor them into model choices.
About the company
Scaled Foundations develops robotic systems that can sense their surroundings, think through problems, and act reliably in real-world settings. The company uses machine learning, artificial intelligence, and simulation to improve how robots learn from their environment, interpret sensor data, make decisions, and perform actions with precision and safety. Its products rely on advanced algorithms and virtual testing to optimize performance before real-world deployment, reducing risk and improving efficiency. Compared with others, Scaled Foundations emphasizes turning hardware into adaptable, intelligent machines that safely operate alongside people in complex and dynamic environments. The overall goal is to create safer, more capable robots that can be deployed across a wide range of industries and applications, positively benefiting society.
Company Size
11-50
Company Stage
Seed
Total Funding
$70K
Headquarters
Redmond, Washington
Founded
2023
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Simplify's Take
What believers are saying
- Accenture announced a April 2026 investment and strategic partnership.
- Microsoft Pegasus and Azure Marketplace access broaden enterprise procurement in 2026.
- Physical AI demand targets manufacturing and logistics pain points: labor shortages and costly pilots.
What critics are saying
- General Robotics discloses no revenue or customer deployment numbers as of August 2026.
- GRID depends on Accenture, Microsoft Azure, and NVIDIA ecosystems for distribution.
- OEM software stacks can commoditize GRID, killing standalone pricing by 2027.
What makes General Robotics unique
- GRID unifies 40-plus robot brands with one intelligence layer.
- Accenture’s April 2026 investment validates enterprise-grade orchestration for factories and warehouses.
- NVIDIA Isaac Sim integration gives General Robotics simulation-to-deployment infrastructure.
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0%Accenture invests in General Robotics to advance physical ai-powered robotics in manufacturing and logistics. Accenture has invested, through Accenture Ventures, in AI-native company General Robotics. NEW YORK-(BUSINESS WIRE)-Accenture (NYSE: ACN) has invested, through Accenture Ventures, in AI-native company General Robotics. General Robotics offers general-purpose robotic intelligence that allows organizations to rapidly deploy and continuously adapt robots of any form, with any AI, for any task. With this investment, Accenture and General Robotics will also partner to help manufacturers, logistics companies and clients in other asset-intensive industries advance autonomous operations with physical AI. "Physical AI-powered robotics address issues our clients are facing, such as workforce constraints, challenged factory and warehouse productivity, and continuously rising capital and operational costs," said Prasad Satyavolu, global lead for manufacturing and operations at Accenture. "But often, piloting robotic systems takes too long, is expensive and often not scalable and repeatable across a network of facilities. Our partnership with General Robotics will focus on delivering an enterprise-grade robotics intelligence and orchestration layer that will assist companies in deploying robotic systems safely, efficiently, faster, and at scale. It will help our clients create a much-needed hybrid agentic, physical, and human workforce that supports the competitive future of plant and warehousing locations." Physical AI is essential to scaled robot deployment as it enables simulations of factories and warehouses that adhere to real-world conditions, in which robots learn to do tasks more efficiently. These simulations will also let companies find more effective configurations for their robot fleets before deploying them at the actual sites. General Robotics brings GRID, a unified intelligence platform that connects robots across robotics original equipment manufacturers to deployable, scalable, and adaptable AI. Rather than relying on static programming, the platform focuses on modular, reusable AI skills, cloud-based orchestration, simulation training and sovereignty over data and intellectual property. Accenture brings deep expertise in physical AI and manufacturing, logistics and other asset-intensive industries including utilities, energy, and aerospace. "While robotics hardware and AI models advance at a rapid pace, real-world impact is constrained by the lack of a unified intelligence infrastructure," said Ashish Kapoor, CEO and co-founder, General Robotics. "We're providing the intelligence grid that connects robots, agents and AI models through a single platform designed to speed deployment and adapt as AI advances and robotic tasks become more sophisticated. Partnering with Accenture will allow us to support companies in applying these capabilities at scale and in a way that supports their business priorities." The investment in General Robotics reinforces Accenture's role as an enterprise orchestrator in NVIDIA's physical AI ecosystem. NVIDIA Isaac Sim, an open reference framework for robot simulation built on NVIDIA Omniverse libraries, is integrated into General Robotics's GRID platform. Accenture uses NVIDIA Omniverse libraries, the Mega NVIDIA Omniverse Blueprint and the NVIDIA Metropolis platform for the deployment of visual AI agents as part of its Physical AI Orchestrator solution for software-defined factories and warehouses. Terms of this investment were not disclosed. About Accenture Accenture is a leading solutions and services company that helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com. About General Robotics General Robotics is an AI research and deployment company building the intelligence grid for physical AI. We bring modular, adaptable intelligence to every robot, across any form, task, or environment. Our mission: making every robot useful, fast. More News From Accenture NEW YORK-( BUSINESS WIRE )-Accenture has invested, through Accenture Ventures, in Replit, an AI-powered software creation platform company... MADRID, Spain-( BUSINESS WIRE )-Accenture has acquired Keepler Data Tech, a Spanish cloud-native AI and data company... NEW YORK & SAN FRANCISCO-( BUSINESS WIRE )-Accenture has launched Cyber.AI, a new solution powered by Claude, Anthropic's AI model... Accenture. Release Summary Accenture has invested, through Accenture Ventures, in AI-native company General Robotics. Release Versions