We are seeking a Technical Project Manager to lead the delivery of customer projects on the GRID platform and act as the primary point of contact between General Robotics and our customers. You'll work hands-on with our engineers to scope solutions, assess technical feasibility, and make tradeoff decisions, while keeping customers informed with clear and timely updates. Managing multiple Physical AI projects concurrently, you'll stay close to every project's technical progress, speak credibly to customers about how GRID solves their problems, and bring field insights back into how GRID evolves. This role offers a front seat to the transformative impact of Physical AI in industry and an opportunity to learn from, and work alongside, a world-class team of AI and robotics pioneers.

Responsibilities

Manage multiple customer projects concurrently, from kickoff through deployment and handover, including scope, timelines, milestones, and deliverables.
Work with engineering to break customer requirements into technical scope, work plans, and milestones.
Assess technical feasibility and risks of customer requests against GRID's current capabilities.
Stay up to date with the team's development progress, technical decisions, and blockers across projects, working closely with Forward Deployed Engineers and research teams in Singapore and the US.
Lead technical discussions with customer engineering teams, including integration requirements, hardware and sensor setups, and deployment environments.
Review and help shape solution designs, data collection plans, and evaluation criteria for model performance.
Define success metrics and acceptance criteria for deployments.
Serve as the primary point of contact for customers, building trusted relationships with stakeholders from technical teams to senior leadership.
Provide regular project updates to customers, including progress reports, demos, risks, and next steps.
Identify and escalate risks early, and drive resolution across engineering, research, and customer teams.
Translate customer requirements and field feedback into input for the GRID product roadmap.
Identify opportunities for expanding customer value, including follow-on projects and new use cases.

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a relevant technical field.
3+ years of technical project or program management experience, or prior experience as an engineer moving into project management.
Working understanding of machine learning, robotics, or software systems, enough to engage meaningfully in technical discussions and design reviews.
Familiarity with the software development lifecycle and tools such as Git, Jira, or similar.
Proven ability to manage multiple projects and stakeholders in parallel.
Excellent written and verbal communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.
Ability to travel up to [X]% to customer sites and our US office as needed.

Preferred Qualifications

Master's degree in Robotics, Computer Science, Computer Engineering, or a relevant technical field.
Prior hands-on experience in software, ML, or robotics engineering.
Experience managing projects in robotics, AI/ML, automation, manufacturing, or logistics.
Familiarity with ROS, simulation platforms (e.g. AirSim, Isaac Sim, Mujoco), or computer vision workflows.
Experience with cloud platforms and APIs.
Experience working in a startup or fast-paced R&D environment, with distributed teams across time zones.
Project management certification (e.g. PMP, PRINCE2) or Agile/Scrum experience.

About General Robotics

General Robotics is building the intelligence grid for physical AI — the platform that makes any robot, from robotic arms to humanoids, genuinely intelligent. Headquartered in Redmond, Washington, we're backed by Accenture, who invested in General Robotics in 2026 to advance Physical AI-powered robotics in manufacturing and logistics, and we're part of Microsoft's Startups Pegasus Program. Our team's work spans some of the most widely adopted robotics and AI research to come out of Microsoft Research — including AirSim, PACT, and ClimaX.

Our core platform, GRID, gives robots a fast, cloud-native library of 40+ pre-trained AI skills, with deployment in as little as 15 minutes and scaling to 25,000+ concurrent robot requests per instance.

Our Singapore team works closely with the US team on GRID's research and development as an extended research facility, and to support our customers in the region. Engineers from both offices regularly visit each other for collaboration.

Base Salary Range

The typical base pay range for this role is 100,000 SGD - 220,000 SGD. Your actual pay will be based on factors such as skills and experience.

Equal Opportunity Employer

General Robotics is an equal opportunity employer. We do not discriminate on the

basis of any status protected by applicable law.

Accommodations

If you need a reasonable accommodation during the application or interview

process, please contact: [email protected]

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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Headcount

6 month growth

-20%

1 year growth

2 year growth

Business Wire

Apr 15th, 2026

Accenture invests in General Robotics to advance physical ai-powered robotics in manufacturing and logistics.

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

General Robotics

Technical Project Manager

About the job