2.8 Staff Robotics Systems Engineer

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.   Learn more at https://fieldai.com   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 services

Design and evolve distributed, event-driven systems for real-time data ingestion, monitoring, and control

Partner with autonomy, perception, and platform teams to integrate sensing, algorithms, and infrastructure

Drive technical decisions around reliability, scalability, observability, and deployment

Lead complex technical initiatives and mentor engineers across multiple teams

Act 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 platforms

Strong background in end-to-end system architecture spanning hardware, firmware, edge, and cloud

Hands-on experience with embedded systems, sensors, or IoT devices operating in real-world conditions

Proven experience designing or operating distributed or microservice-based systems

Strong understanding of event-driven architectures, messaging queues, and real-time systems

Experience 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 level

Comfortable working in ambiguous, fast-moving environments

The Extras That Set You Apart

Experience with robotics platforms, autonomous systems, or industrial automation

Background in physiological sensing, computer vision, or sensor fusion

Experience with edge AI / on-device inference

Familiarity with observability, monitoring, and reliability engineering in production systems

Prior experience as a tech lead, staff engineer, or principal engineer

Experience building or scaling systems across multiple geographies or deployments

Exposure to safety-critical or mission-critical systems

Why FieldAI?

Work on real-world autonomy, not simulations or demos

Influence architecture decisions that directly impact deployed robots

Collaborate with a globally distributed, deeply technical team

Help build and shape FieldAI’s Singapore engineering presence from the ground up.