lever
Forward Deployed Engineer
Dexterity
Redwood City, USA
Full-time
Mid · 2+ years experience
Onsite
USD 130000-170000 yearly / year
Discovered 1 weeks ago
PythonC++DockerGrafanaKibanaFoxglove
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Full Job Posting
- Location: Redwood City, CA. Office desk-based tasks and lab-floor testing.
- This position requires frequent travel to customer locations, with typically 50% of time spent on-site.
- On-site assignments will involve warehouse conditions (temperature variations, industrial noise) and prolonged standing or walks.
- New Solution Introduction: Ensure successful pilot outcomes by driving new solution operations in the field, resolving early issues, meeting customer KPIs, and preparing the solution to scale rapidly post pilot.
- High Quality and Rapid Resolution: Drive fixes and improvements based on field experience with proper methodologies to provide traceability, change management and eliminate repeat occurrences.
- Operational Excellence: Release solutions that are ready to scale. Solutions should meet operator expectations for ease of use, up time and operator:robot ratio.
- Customer Trust: Become the named technical point-of-contact for one or more strategic sites.
- Engineering Feedback Loop: Develop new integrations, robotic skills and capabilities to meet new customer challenges. Extend and improve methodologies to incorporate field learning into the core platform capabilities towards the goal of general robot intelligence.
- Deliver actionable bug reports and reproducible cases that accelerate root-cause analysis.
- Field Enablement: Develop new tooling, documentation and provide guidance to application services teams at pilot and production sites. Collect and curate information in a way to drive automation of the support system.
- Tooling & Observability:Develop proficiency and leverage internal platforms such as Portal, Foxglove, Kibana, ArgoCD, and Grafana for system analysis. Enhance observability and visualization to provide better insight to system behavior, particularly as new skills, capabilities and use cases are added.
- Drive System Performance Improvement in the Field — The real world always presents subtle new challenges to intelligent systems. Your primary goal will be to translate field operations experience into better systems, improved learning and enhanced robot skills to optimize top line performance as robot deployments scale.
- Diagnose & Resolve Incidents — Analyse logs, telemetry, SQL/NoSQL data, and container metrics to pinpoint failures; reproduce issues in staging; craft work-arounds or scripted hot-fixes; document in ticketing system (Jira/Zendesk).
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