Full-Time

Robotics Autonomy Engineer

Field AI

Field AI

201-500 employees

Hardware-agnostic AI platform for robots

Compensation Overview

$70k - $300k/yr

Irvine, CA, USA

Hybrid

Category
Mechanical Engineering (2)
,
Required Skills
Python
CUDA
Pytorch
Requirements
  • US Person: Required due to export control regulations and project requirements.
  • Proficiency in ROS (Robot Operating System): Experience developing and integrating robotic software solutions.
  • Hands-On Robotics Experience: Practical experience working with autonomous robotic systems, including testing and deployment in the field.
  • Strong Programming Skills: Proficiency in Python and C++ for algorithm development and system integration. Experience with GPU programming (CUDA C++, PyTorch) is a plus.
  • Understanding of System Integration and Engineering for Autonomous Systems: Solid cross-domain knowledge across localization, perception, planning, and controls.
  • Willingness to Travel: Ability and eagerness to travel to customer sites for deployments, testing, and troubleshooting (up to 30% travel).
  • Excellent Communication Skills: Ability to convey complex technical concepts clearly to diverse audiences.
Responsibilities
  • Autonomy Engineering: Develop algorithms to assess environmental conditions and support autonomous decision-making.
  • Autonomy Engineering: Design evaluation frameworks to measure the performance of perception and navigation systems.
  • Autonomy Engineering: Integrate and analyze multi-sensor data to enhance situational awareness and risk assessment.
  • Autonomy Engineering: Create systematic approaches to validate and improve system predictions across diverse operating scenarios.
  • Autonomy Engineering: Collaborate across perception, planning, and controls to develop benchmarks and metrics for system-wide performance.
  • Autonomy Systems Engineering: Evaluate and design trade-offs between compute, latency, power, and other key performance metrics for robotic systems.
  • Autonomy Systems Engineering: Integrate diverse software modules, ensuring seamless communication and synchronization across components.
  • Autonomy Systems Engineering: Establish and maintain system performance metrics to identify bottlenecks and optimize system behavior.
  • Autonomy Systems Engineering: Conduct iterative testing and refinement to ensure systems meet real-world demands and constraints.
  • Software Integration and Testing: Work extensively with ROS (Robot Operating System) to develop, test, and integrate software modules.
  • Software Integration and Testing: Conduct simulations and field tests to validate performance and optimize system behavior.
  • Hands-On Robotics Deployment: Collaborate with hardware teams to ensure seamless software-hardware integration.
  • Hands-On Robotics Deployment: Travel to customer sites to deploy, calibrate, and fine-tune robotic systems in diverse and challenging real-world conditions.
  • Cross-Team Collaboration: Work closely with other engineering teams to align development efforts and achieve cohesive system performance.
  • Cross-Team Collaboration: Communicate effectively with non-technical stakeholders to explain robotic capabilities and project progress.
Desired Qualifications
  • Experience with real-time systems or robotics middleware.
  • Familiarity with sensor integration and perception algorithms.
  • Knowledge of machine learning techniques applied to robotics.
  • Exposure to industrial robotics applications in sectors like construction, mining, or manufacturing.
  • Experience working in harsh or outdoor environments.
  • Experience working with offroad vehicles / offroad driving.
  • Advanced degree (Bachelor’s, Master’s) in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Understanding of safety standards and compliance in robotics.

Field AI provides a hardware-agnostic AI platform that lets robots operate autonomously in real-world, unstructured environments. Its Field Foundation Models (FFMs) act as a universal AI brain that can run on different robots, from autonomous vehicles to humanoids, to automate tasks on construction sites, in oil and gas, and during site inspections. The FFMs serve as a shared core for perception, planning, and control and can be integrated with existing equipment, while partnerships with other companies expand the available solutions. The goal is to speed up the adoption of autonomous robotics in industries where reliable operation in unpredictable settings is essential, by offering interoperable AI and an open collaboration model.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$405M

Headquarters

Irvine, California

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Big-D Construction expands FieldAI from pilots to standard on all projects by 2026.
  • Raised $405M at $2B valuation from Bezos Expeditions and Khosla Ventures in 2025.
  • Partnerships with Boston Dynamics, NVIDIA, Certis, and Hyundai drive global fleet deployments.

What critics are saying

  • NVIDIA Isaac platform internalizes embodied AI, eroding hardware-agnostic edge within 12-24 months.
  • Boston Dynamics proprietary software replaces FFMs post-partnership in 18-36 months.
  • Figure AI humanoids with end-to-end models bypass FieldAI in construction within 6-12 months.

What makes Field AI unique

  • Field Foundation Models enable robots to operate without GPS or maps in unstructured environments.
  • Hardware-agnostic platform integrates with Spot, humanoids, and autonomous vehicles across industries.
  • Physics-first Belief World Model reasons under uncertainty for risk-aware autonomy.

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Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

7%

2 year growth

29%
Robotics & Automation News
Apr 7th, 2026
Big-D expands construction operations with FieldAI as robotics adoption accelerates.

Big-D expands construction operations with FieldAI as robotics adoption accelerates. US construction firm Big-D Construction is expanding its use of robotics across multiple projects through a growing partnership with FieldAI, signaling a broader shift toward autonomous systems on active job sites. The company, which has been testing FieldAI systems for more than two years, is now moving from pilot deployments to wider operational use, with executives suggesting the technology could become standard across future projects. "I think the opportunity is that every project will have some representation of FieldAI tools." That's Shaun Orr, C-level executive and 25-year veteran at Big-D Construction, describing what he sees as the next phase of adoption. From pilot projects to wider rollout. Construction has historically been one of the most challenging environments for robotics due to constantly changing conditions, unstructured layouts, and limited predictability. FieldAI's systems are designed to operate without reliance on fixed maps or GPS, allowing robots to adapt in real time to active job sites. According to the companies, this reduces deployment complexity and enables robots to be integrated directly into ongoing workflows. For Big-D, the expansion follows a period of close collaboration between field teams and developers. "One of the things that I'm most grateful for is that FieldAI really approached this as a partnership and allowed us to participate in the development of that application in our own organization," Orr said. "The project team feedback was just overwhelmingly positive. It made the decision to make a bigger investment pretty easy to do." Addressing labor and productivity pressures. The move comes as construction firms continue to face persistent labor shortages, which are driving interest in automation. "We've got a big labor crisis in the construction industry," Orr said. "Everybody feels it. We've been in that space for years, and we don't really anticipate that stopping until 2040 or beyond." On site, data collection and monitoring tasks have traditionally required significant manual effort. Bronson Dupaix, a Big-D superintendent, described how teams previously spent hours gathering site data using handheld tools and sensors, reducing time available for higher-level decision-making. FieldAI robots are now being used to automate parts of that process, including site inspection and issue detection. "They had one of their robots on the ground that had the schedule and the model attached to it, was real-time walking a project site and identifying problems - missing work, safety issues - and correlating it back to all of the great detail that our people have put into our other platforms," Orr said. "Seeing it in a way that we just couldn't see it." Growing demand from the field. Interest in the technology is not limited to leadership. According to Big-D, demand is emerging from project teams already using the systems. "That same superintendent that had the robot on his job for the first time called me last week as I was on the other job site deploying two more robots," said Chantelle Menlove, a director at Big-D specializing in virtual design and construction. "He said, 'When can I have it on my job? What do I need to do?' And he's really excited about taking it to his next job." Toward multi-function, general-purpose robots. Unlike single-purpose construction robots, FieldAI's approach focuses on combining multiple capabilities - such as inspection, documentation, and material handling - into a single system. This reflects a broader trend in construction robotics toward more flexible, general-purpose machines that can operate across multiple workflows. Orr said internal adoption has been stronger than expected. "Every project will have some representation of FieldAI tools," he said. "They integrate with our existing platforms today in a way that we are pulling value. And I look at our teams really embracing the technology in a way that was surprising to me. It wasn't scary. It was more like having a new, great companion join the team." Industry implications. The expansion also comes amid growing collaboration between construction firms and robotics providers, including recent partnerships involving companies such as Boston Dynamics. As systems move from isolated deployments to integrated operational layers, the industry may begin to see more coordinated fleets of robots working across job sites. Menlove said future applications could extend beyond inspection into more physical tasks. "The future that I see with robots is that we're really going to have tools that we've never had before," she said. "Robots doing functions on the job that Robotics & Automation News only wish Robotics & Automation News had help with - carrying materials, delivering materials, being a second set of hands on the job. "I'm really excited to see what each one of these robots and the different types that we're going to have on our job sites, and how they can all talk together and move together to really make our projects successful." For Orr, the message to peers in the industry is direct. "Maybe what my cohorts hear when I talk to them about it is: you better get it, because we're going to pass you up."

Pure AI
Mar 19th, 2026
Field AI expands NVIDIA collaboration to accelerate industrial AI adoption.

Field AI expands NVIDIA collaboration to accelerate industrial AI adoption. Field AI, specialists in deploying general-purpose robots in unstructured environments, announced an expanded collaboration with NVIDIA aimed at accelerating the adoption of artificial intelligence in industrial operations. The is working with NVIDIA to integrate its AI software with NVIDIA's computing platforms to support automation in sectors such as manufacturing, logistics and field operations. The collaboration focuses on enabling AI systems that can interpret real-world environments and support decision-making in complex industrial settings. By integrating NVIDIA Omniverse libraries to its development pipeline, Field AI aims to deliver demonstratable customer value in environments once deemed too unpredictable for robots. The aim is to support operational insight towards producing a more capable robotic system. Field AI develops AI-driven systems designed to power autonomous operations, including robotics and field-based workflows. By leveraging NVIDIA's GPUs and AI frameworks, the company aims to improve performance and scalability for industrial AI deployments. Industrial organizations are increasingly exploring AI to automate physical operations and improve efficiency. FieldAI is also adopting the NVIDIA Physical AI Data Factory Blueprint via the Microsoft Azure toolchain to streamline their synthetic data pipeline and robot training using NVIDIA Cosmos open world foundation models and NVIDIA OSMO. Posted by Pure AI Editors on 03/19/2026

Robotics & Automation News
Mar 13th, 2026
Boston Dynamics and FieldAI partner to bring robots into construction and other complex, dynamic environments

Boston Dynamics and FieldAI partner to bring robots into construction and other complex, dynamic environments. Discover more Artificial Intelligence Engineering tools Drone components Boston Dynamics and FieldAI announced a partnership to advance robotics in construction and other complex, ever-changing environments. The collaboration combines Boston Dynamics' world-class robotic platforms and software stack with FieldAI's Field Foundation Models (FFMs) for uncharted exploration, extending autonomous operations into spaces previously considered too unpredictable for robots. One example is construction, where sites are constantly evolving, with shifting terrain, changing layouts, and active human workflows. These highly dynamic conditions have long made it difficult for traditionally programmed robots to operate safely and effectively. Capturing accurate, timely information and maintaining oversight on fast-moving projects is labor-intensive, error-prone, and can expose workers to hazardous conditions. Construction serves as the proving ground for this technology. If robots can operate autonomously here, they can operate almost anywhere. "We've known Ali and his team since they won the Urban-circuit of the DARPA Subterranean Challenge using Spot robots, while tackling similar challenges for NASA," said Marc Raibert, founder of Boston Dynamics. Discover more Innovation Workshops Manufacturing Automation Services "Combining Field AI's expertise in risk-aware autonomy with Spot's remarkable mobility allows us to tackle uncharted and highly dynamic environments together - spaces that were previously off-limits to robots. This is truly great progress for robotics, and we are excited by the challenges FieldAI is taking on." Building on its extensive experience deploying autonomous robots in industrial environments, Boston Dynamics brings proven hardware capabilities to tackle these challenges. Its robots are designed to reliably operate in manufacturing and process facilities around the clock, effectively "living" in these environments. They perform scheduled missions and collect thousands of data points, analyzed through the Boston Dynamics Orbit platform, helping organizations detect failures early, perform preventive maintenance, and conduct security rounds. Through this partnership with FieldAI, a recognized leader in robotic AI and autonomous operations, these robots are moving into a new era of general-purpose autonomy. At the core of FieldAI's technology is the Field Foundation Model (FFM), a new class of "physics-first" foundation model built specifically for embodied intelligence, establishing a foundational layer for multiagent, fleet-level coordination of robots. Unlike conventional AI models adapted for robotics, FFMs are purpose-designed to reason about uncertainty, risk, and the physical constraints of the real world. This enables robots to safely and autonomously operate in dynamic, unstructured environments, handling scenarios they haven't been explicitly trained for, without relying on pre-mapped layouts, GPS, fixed paths, or additional robot infrastructure. Robots powered by FieldAI's FFMs can autonomously operate completely on-edge, without the need for any connection to the cloud, allowing customers to expand their operations into the most remote environments on earth. FieldAI + Spot: A construction-focused autonomy solution. The integration of Boston Dynamics' Spot, a quadruped robot designed for industrial inspection and mobility in complex environments, with FieldAI's Field Foundation Models (FFMs) expands its capabilities to fully understand construction sites and track and document as-built progress. Spot's rugged mobility, combined with FFMs' risk-aware decision-making, allows robots to safely and effectively navigate environments once considered too chaotic for automation. As each robot collects operational data across diverse environments, FieldAI's models continuously improve, creating a compounding data advantage that accelerates deployment reliability and enables rapid expansion. The solution addresses key construction challenges, including unpredictable terrain, dynamic workflows, and safety monitoring. FFMs enable Spot to adapt as sites change, collect accurate data, and align it with digital twin or BIM models, turning raw information into actionable insights. With uncharted territory exploration, a FieldAI-powered Spot can traverse unknown or highly dynamic areas without prior knowledge of the environment, such as underground mines, rapidly evolving construction zones, or dynamic human-populated sites. "FieldAI is leading the way in scaling deployments in complex and dynamic job sites across the globe, and delivering value that construction teams use every day," said Marc Theermann, Chief Strategy Officer at Boston Dynamics. "Making robots work reliably in these environments and handle uncharted exploration truly feels like rocket science for robotics, and if any team can take on these challenges, it's FieldAI." Deployed across numerous construction sites, Spot, equipped with FFMs, performs inspections, mapping, and monitoring autonomously. It can track daily progress through 3D scans and images, identify hazards such as standing water or blocked egress routes, and operate overnight to deliver fresh insights each morning. Uniquely, FieldAI's focus is on deploying and managing fleets of robots operating at the same time as a multiagent system. What fleets of robots make possible goes far beyond what a single robot can achieve: robots that can coordinate with one another, share an understanding of the environment, and reason collectively at site scale, turning autonomous machines into a true distributed system rather than one-off tools. Such fleets of robots can be deployed across multiple projects, standardizing operations and data collection at scale. The FieldAI-Boston Dynamics partnership has delivered measurable benefits for construction operations: * Efficiency: Inspection and documentation time reduced by more than 90 percent compared to manual processes. * Cost savings: Early detection of deviations reduces costly rework. * Safety: Robots monitor hazardous areas, reducing worker exposure. * Scalability: Customers from Asia to Europe to North America are expanding to enterprise scale deployments. "Complex real-world sites, such as construction sites, are unpredictable by nature," said Ali Agha, founder and CEO of FieldAI. "The real breakthrough is developing robots and robot brains that understand risk and make decisions in real time. That kind of intelligence allows robots to adapt on their own, bringing a new level of reliability and insight to complex environments. We're now at the inflection point where large fleet-scale deployment becomes possible." As part of the partnership, FieldAI is expanding the deployment of Spot robot in the coming months, creating one of the largest third-party quadruped fleets in the world. The combination of Boston Dynamics' Spot robot and FieldAI's FFM serves as a model for how this approach could be adapted to other industries where adaptability, reliability, and safety are critical. By refining this approach in construction, the companies are redefining what's possible in embodied AI and setting the stage for future autonomous applications.

PR Newswire
Feb 24th, 2026
Certis and FieldAI partner to deploy autonomous security robots across global operations

Certis Group, Singapore's leading security solutions provider, has formed a strategic partnership with US-based FieldAI to deploy autonomous robotics in large-scale security operations globally. The collaboration combines FieldAI's AI autonomy technology with Certis' Mozart orchestration platform, which coordinates robots, human teams and command systems. FieldAI's Field Foundation Models enable robots to operate in complex environments without prior maps or routes, with learnings shared across fleets to improve performance. The technology will be integrated with Certis' command-and-control platforms for applications including autonomous patrols, incident detection and coordinated human-robot response. The partnership initially focuses on security applications across public infrastructure, transport hubs and commercial facilities, with broader use cases in inspection and facilities monitoring planned. FieldAI has opened a Singapore office to support deployments.

The Port Arthur News
Feb 23rd, 2026
Certis and FieldAI Form Strategic Partnership to Deploy Autonomous Robotics in Real-World Security Operations

Certis and FieldAI form strategic partnership to deploy autonomous robotics in Real-World security operations. PR Newswire Today at 5:40pm PST PR Newswire SINGAPORE, Feb. 23, 2026 SINGAPORE, Feb. 23, 2026 /PRNewswire/ - Certis Group, Singapore's leading provider of integrated security and operations solutions, has formed a strategic partnership with FieldAI, a US-based leader in deploying general-purpose autonomous robots, to advance cost-effective robotic applications in complex, real-world security operations. Orchestrating Humans, Robots and Operations at Scale Autonomous robotics technology has advanced rapidly, with security deployments of robots now underway across the world. This partnership between Certis and FieldAI aims to enable the scalable deployment of autonomous robotics across large, multi-site security operations globally by creating an ecosystem of general-purpose robots, integrated with command systems, operational workflows, and human teams. This combines FieldAI's advanced AI and autonomy technology with Certis' operational orchestration and deployment expertise, through Certis' Mozart(TM) orchestration platform that coordinates robots, human teams, workflows and command systems in real-world environments. Together, Certis is advancing the operating model for autonomous security, building on FieldAI's proven real-world deployments to improve how autonomous systems are integrated in live security operations today, while setting the standards for safe and reliable deployment at scale. A Partnership Grounded in Real-World Operations FieldAI's autonomy technology will be integrated with Certis' command-and-control platforms and operational workflows to scale deployment of autonomous robots working alongside human security teams. The robots will operate across diverse indoor and outdoor environments, including public infrastructure, transport hubs, commercial and industrial facilities, as well as more remote or hazardous locations. Structured with the flexibility of scale the robots are designed to perform routine tasks, freeing security personnel to focus on higher-level analysis and critical response. Deployments are designed to improve operational efficiency and resilience while maintaining service quality and safety, as both partners bring established capabilities in system performance, reliability, and human-robot coordination to operational scales not previously achieved in the industry. "The security industry currently employs more than 30 million workers globally, and operates in increasingly complex and labour-constrained environments, where reliability, safety and accountability are non-negotiable," said Ng Tian Beng, President and Group CEO, Certis. "For robotics to be viable at scale, they must integrate seamlessly with human teams, operational workflows and command systems. This partnership with FieldAI reflects our approach of working with leading technology companies to deploy solutions that can perform consistently in live, mission-critical environments." Advancing Autonomous Capabilities Through Integration At the core of FieldAI's technology are its Field Foundation Models(TM), general-purpose autonomy software that acts as a brain for any robot type to operate safely in complex, dynamic and real-time environments without reliance on prior maps, prior routes, or supporting infrastructure. As robots encounter new environments, learnings are shared across the entire fleet, continuously improving performance at scale. FieldAI's autonomy software will pair with Certis' orchestration and fleet management systems to support applications that can include autonomous patrols, real-time incident detection, remote supervision, and coordinated human-robot response, while allowing for scalable deployments at reduced cost. "The real world is complex and unpredictable. That's why we built autonomy that focuses on managing uncertainty, while learning and improving itself continuously across deployments," said Ali Agha, Chief Executive Officer of FieldAI. "Because the FieldAI brain doesn't need prior maps or pre-planned routes, customers can deploy these systems quickly and scale them across new sites with minimal cost and setup. Certis operates some of the most complex security environments globally, and integrating our autonomy technology with Certis' orchestration and operational platforms allows us to advance these capabilities where it matters most: in live operations at scale." Looking Ahead FieldAI has opened an office in Singapore to support ongoing deployments and integration work with Certis. Field AI will exhibit at ISC West 2026 on March 23-27, 2026 in Las Vegas, NV. The collaboration will initially focus on security applications, with broader use cases such as inspection, facilities monitoring and intelligent field operations explored over time. Both companies will also work together on training, safety validation and operational frameworks to support responsible deployment. The partnership reflects a shared commitment to scaling practical robotics solutions that integrate seamlessly with human operations, supporting safer and more resilient environments as organisations face growing labour constraints and operational complexity. For media enquiries: About Certis Certis is a leading Singapore-based technology and services company that designs, builds and operates integrated smart operations across security, facilities and workforce management. Guided by its Operational Design First philosophy, Port Arthur News combine deep operational expertise with advanced technologies, including AI, robotics and intelligent orchestration, to help organisations run safer, smarter and more sustainable operations. Its proprietary Mozart(TM) platform enables real-time visibility, coordination and control across complex environments, delivering measurable efficiency, performance and sustainability outcomes. With headquarters in Singapore and operations in five markets across Asia Pacific and Qatar, Certis is trusted by government agencies, enterprises and partners around the world. Its 25,000-strong global team is committed to its purpose to make its world safer, smarter, better. About FieldAI Headquartered in Irvine, CA, FieldAI develops embodied AI software for autonomous robot operations in real-world environments. The company's Field Foundation Models provide a hardware-agnostic autonomy brain that enables robots to navigate dynamic and unpredictable conditions without maps, GPS, or predefined trajectories. The technology works across diverse platforms, from quadrupeds to humanoids, and has been deployed in industries including construction, security, energy, and logistics applications. For more information, visit www.fieldai.com or contact [email protected]. SOURCE FieldAI; Certis Group This is a paid placement. For further inquiries, please contact PR Newswire directly.