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ARX Robotics is seeking a Staff Engineer to lead the architecture and development of scalable validation, simulation, and data infrastructure platforms for next-generation autonomous robotic systems. This role operates at the intersection of robotics, distributed systems, cloud infrastructure, and autonomous systems engineering.
You will establish technical foundations enabling fast iteration cycles, reliable system validation, large-scale data collection, and continuous improvement of autonomous capabilities across virtual and real-world environments. The position combines deep hands-on engineering with technical leadership, working closely with robotics, autonomy, embedded, and platform teams.
Key responsibilities include:
Data Collection & Continuous Feedback Loops: Design robust fleet data collection and telemetry pipelines for robotic systems in real-world environments. Build scalable infrastructure for ingesting, processing, indexing, and managing large-scale operational and simulation datasets. Enable closed-loop development workflows connecting field operations, simulation, validation, and autonomy development. Collaborate with autonomy and robotics teams to improve data quality, observability, and reproducibility. Support future AI/ML workflows through scalable infrastructure and validation tooling.
Simulation & Validation Platforms: Architect and scale simulation and validation environments for autonomous robotic systems. Design Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and large-scale virtual testing frameworks. Establish automated validation pipelines for robotics software and autonomous behaviors. Drive system-level verification strategies across embedded, robotic, and distributed software components. Enable scalable regression, integration, and scenario-based testing workflows.
Technical Leadership: Lead cross-functional technical initiatives across robotics, autonomy, embedded, and platform engineering. Define technical roadmaps and architectural standards for validation and infrastructure systems. Mentor engineers and establish engineering best practices for scalable robotics software development. Drive collaboration between simulation, embedded, cloud, and autonomy teams. Support system integration, field testing, and operational readiness activities.
Required experience includes building distributed software systems and cloud-native infrastructure, deep understanding of verification & validation workflows for complex robotic or embedded systems, hands-on experience with simulation environments and large-scale testing frameworks, strong software engineering background in Python and/or C++, experience with containerized infrastructure and CI/CD pipelines, familiarity with robotics software stacks and ROS2, experience with telemetry and data pipelines, and strong system-level thinking across software, infrastructure, and hardware integration.
Nice-to-have qualifications include experience with autonomous systems, defense, robotics, or automotive platforms; familiarity with observability tooling such as Prometheus, Grafana, or OpenTelemetry; experience with simulation frameworks and digital twin environments; and knowledge of safety-critical development and validation processes.
The company offers competitive compensation with bonus opportunity, 27 vacation days starting (increasing to 30 with tenure), employer-supported pension contribution, learning & development support, team events budget, employee discounts and flexible benefits via Probonio, and hybrid working setup.
