• Plan and execute solution validation activities in collaboration with customers and internal stakeholders • Implement and integrate complex network platforms and technologies in laboratory environments • Validate architectures, develop test plans, and document results clearly • Troubleshoot complex network issues across routing, switching, VPN, and MPLS environments • Collaborate with engineering teams to identify issues and drive successful solution delivery • Act as a technical point of contact for customers during solution validation and delivery phases

• Architect and build AI-powered products end-to-end • Build and manage a fleet of agents • Design technical systems that multiply team output • Help us build the Agentic Legal Framework and our Knowledge Intelligence Platform • Safeguard the team’s future by elevating engineering from individual contribution to 10x team output • Design AI-first technical systems: Own technical design from first principles, use design patterns deliberately and architect scalable Node.js systems • Manage and orchestrate AI agents: Build, deploy and maintain subagents, improving agentic effectiveness and design workflows that scale with agents • Build end to end products : Own features from ideation -> architecture -> implementation -> shipping and move beyond ‘frontend’ or ‘backend’ silos • Collaborate as a 10x team: Backcast from product outcomes and build most of the solution at once, share knowledge openly, elevate peers and design for collective intelligence • Contribute to core strategic initiatives : Agentic Legal Framework, Knowledge Intelligence Platform, AIOps evolution

• Collaborate with designers, developers, and product minds to craft seamless, full-stack solutions that make healthcare smarter. • Build and refine both front-end and back-end features for performance, reliability, and beauty. • Write clean, maintainable, and testable code — and continuously raise the bar for quality. • Explore, evaluate, and implement new technologies that make us faster, smarter, and more effective. • Troubleshoot issues and deliver solutions with empathy — because every bug fixed means a better experience for a patient.

• Configure autonomy software, perception stacks, networking, and cloud services. • Perform calibration, alignment, and validation of sensors and localization. • Execute first autonomy runs and safety acceptance tests. • Diagnose system failures across compute, networking, sensors, hydraulics, perception, control models, GNSS, and cloud connectivity. • Perform structured root-cause analysis based on logs, system traces, packet captures, machine telemetry, and hardware inspection. • Develop or extend diagnostic tools, scripts, and test harnesses to triage issues faster. • Identify failure patterns and propose mitigations upstream (software, firmware, safety logic, hardware design). • Translate field realities into actionable requirements for software, hardware, autonomy, and reliability engineering teams. • Identify gaps in serviceability, environmental tolerance (shock, vibration, dust), safety behavior, and operator workflows. • Validate ConOps, safety assumptions, and degraded-mode behavior against real site conditions. • Design and execute on-site test plans (functional, performance, environmental, regression) for autonomy behaviors, safety systems, control responses, and telemetry reliability. • Validate releases, patches, hardware revisions, and autonomy updates under real operational stress. • Maintain clear bug reports, defect triage, downtime logs, and structured feedback cycles into engineering. • Create service documentation, deployment procedures, troubleshooting guides, and safety protocols. • Work with OEMs and dealers to enable them to install, maintain, and support systems. • Define and improve deployment playbooks that scale globally. • Act as the bridge between customers and AIM engineering - clear, honest, technically grounded communication. • Manage expectations around downtime, features, maintenance windows, and machine readiness.