Application Support Engineer

Join Dexterity as an Application Support Engineer, where you'll be the front line between our deployed physical AI applications and our customers' business-critical operations. Your mission will be to keep production sites running smoothly, resolve complex software issues, and provide insights for continuous improvement. This role requires extended deployment to customer locations, with up to 80% of your time spent on-site. You will also be responsible for ensuring successful field deployment of new products, owning Tier 2 application and software incidents, and delivering actionable bug reports to accelerate root-cause analysis.

• Assurer le bon fonctionnement des sites de production, résoudre les problèmes logiciels complexes et fournir des informations à l'ingénierie pour l'amélioration continue.
• Participer à l'introduction de nouveaux produits, garantir le déploiement sur le terrain, résoudre les problèmes initiaux et atteindre les indicateurs de performance.
• Devenir le point de contact technique pour un ou plusieurs sites stratégiques, fournir un soutien en temps réel et des conseils aux équipes de services d'application.

• Familiarity with support tools and observability platforms (e.g., Grafana, Kibana, Foxglove, ArgoCD)
• 2+ years in a SaaS, DevOps, Site Reliability, or Application Support role handling customer-facing production systems
• Bias for Action — sense of urgency in production environments; willingness to “own the ticket” until closure
• Exposure to industrial automation or warehouse management systems
• Self-starter mindset with a willingness to take ownership in ambiguous environments
• This role requires a combination of field readiness, software debugging, data analysis, and direct collaboration with internal engineering and customer-facing teams
• Knowledge of CI/CD workflows (GitHub Actions, ArgoCD) and feature-flag rollouts
• Aptitude for Hands-On Work in Physical-AI Environments — must be willing and able to power-cycle, jog, and calibrate super-humanoid robots on the warehouse floor; this role is not “desk-only.”
• Data-driven Mindset, ability to instrument, query, and visualize telemetry to inform decisions
• Comfortable working extended hours or on-call rotations for high-severity incidents
• Clear Communication — translate technical findings into customer-friendly language and crisp bug reports
• Bachelor’s degree in an engineering discipline (e.g., Mechanical, Electrical, Industrial, Robotics) or Computer Science — with demonstrable coding skills and a solid grounding in computer-science fundamentals. Equivalent practical experience is welcome
• Programming & Scripting — comfortable reading and writing Python, Bash, and SQL for diagnostics or small tooling
• System-level Troubleshooting across Linux, networking (TCP/IP, VLANs, VPNs), containers (Docker/K8s), and cloud services (AWS/GCP/Azure)
• This role is ideal for engineers who love debugging live systems, explaining technical details to non-experts, and shipping pragmatic fixes fast—all while laying the groundwork for a future move into Hardware or Software Engineering
• Strong analytical and debugging skills; experience parsing logs and telemetry data
• Familiarity with message queues & real-time data buses ( RESTAPI)
• Experience supporting AI/ML inference platforms (model drift, retraining pipelines)
• Basic understanding of robot kinematics and perception pipelines to converse with Product Support colleagues