About the Role
FieldAI is building the intelligence layer that enables autonomous robots to operate reliably in complex, unstructured, real-world environments. As a Staff Systems Engineer, you will play a critical role in architecting and scaling end-to-end systems that span robot hardware, sensing, embedded software, edge computing, and cloud infrastructure.
This is a senior, hands-on technical leadership role with broad ownership. You will work closely with robotics, autonomy, platform, and infrastructure teams to design systems that are robust, observable, and deployable at scale in the field.
Why This Role Is Open
As FieldAI expands globally and establishes its Singapore engineering hub, we are scaling our robotics platform to support:
Increased deployment of autonomous systems in real-world industrial environments
More complex sensor stacks and edge intelligence
Higher reliability, observability, and system-level rigor across hardware, firmware, and cloud
We are opening this role to bring senior systems leadership on the ground in Singapore—someone who can own cross-layer architecture, mentor engineers, and help shape the technical foundation of our next phase of growth.
What You’ll Get To Do
Own system-level architecture across robotics hardware, embedded software, edge compute, and cloud servicesDesign and evolve distributed, event-driven systems for real-time data ingestion, monitoring, and controlPartner with autonomy, perception, and platform teams to integrate sensing, algorithms, and infrastructureDrive technical decisions around reliability, scalability, observability, and deploymentLead complex technical initiatives and mentor engineers across multiple teamsAct as a bridge between product needs and deep engineering execution
What You Have
8+ years of experience in systems engineering, robotics, embedded systems, or distributed platformsStrong background in end-to-end system architecture spanning hardware, firmware, edge, and cloudHands-on experience with embedded systems, sensors, or IoT devices operating in real-world conditionsProven experience designing or operating distributed or microservice-based systemsStrong understanding of event-driven architectures, messaging queues, and real-time systemsExperience deploying and operating systems on cloud infrastructure (e.g., Kubernetes, CI/CD pipelines)Ability to lead technically across teams and influence architecture at an org-wide levelComfortable working in ambiguous, fast-moving environments
The Extras That Set You Apart
Experience with robotics platforms, autonomous systems, or industrial automationBackground in physiological sensing, computer vision, or sensor fusionExperience with edge AI / on-device inferenceFamiliarity with observability, monitoring, and reliability engineering in production systemsPrior experience as a tech lead, staff engineer, or principal engineerExperience building or scaling systems across multiple geographies or deploymentsExposure to safety-critical or mission-critical systems
Why FieldAI?
Work on real-world autonomy, not simulations or demosInfluence architecture decisions that directly impact deployed robotsCollaborate with a globally distributed, deeply technical teamHelp build and shape FieldAI’s Singapore engineering presence from the ground up.