Dexterity.ai-posted 3 months ago
$130,000 - $170,000/Yr
Full-time • Mid Level
Redwood City, CA
251-500 employees
Publishing Industries

As a Forward Deployed Engineer you are the front line leading Dexterity's robots into new opportunities. You will work to bridge any gaps between Dexterity's standard product and the particular challenges of new customer engagements or new market segments. Your mission is to bring new applications online in the field and demonstrate all the operational metrics necessary to rapidly unlock fleet-wide scaling at each new customer opportunity. This role is ideal for engineers with a passion for developing robotic solutions that operate in the real world at scale. This role requires broad, systems level understanding of the full robotic tech stack, both software and hardware. You will be expected to do system level performance analysis and drive system level solutions through hands on engineering, partnering with other teams across Dexterity, third party partners and the customer.

  • Drive System Performance Improvement in the Field
  • Diagnose & Resolve Incidents
  • Proactive Monitoring
  • Field Presence
  • Knowledge & Automation
  • Continuous Improvement Projects
  • Own and execute NPI software commissioning at customer sites
  • BS or MS in Computer Science, Robotics or a related discipline, or relevant experience
  • Proficient in Python or C++, with experience implementing a large project or product feature
  • Aptitude for Hands-On Work in Physical-AI Environments
  • Data-driven Mindset, ability to instrument, query, and visualize telemetry to inform decisions
  • Familiarity with support tools and observability platforms (e.g., Grafana, Kibana, Foxglove, ArgoCD)
  • Strong analytical and debugging skills; experience parsing logs and telemetry data
  • Clear Communication - translate technical findings into customer-friendly language and crisp bug reports
  • Self-starter mindset with a willingness to take ownership in ambiguous environments
  • Bias for Action - sense of urgency in production environments
  • Experience supporting AI/ML inference platforms (model drift, retraining pipelines)
  • System-level Troubleshooting across Linux, networking (TCP/IP, VLANs, VPNs), containers (Docker/K8s), and cloud services (AWS/GCP/Azure)
  • Familiarity with message queues & real-time data buses (RESTAPI)
  • Exposure to industrial automation or warehouse management systems
  • Knowledge of CI/CD workflows (GitHub Actions, ArgoCD) and feature-flag rollouts
  • Basic understanding of robot kinematics and perception pipelines
  • Base Salary Range: $130k - $170k, commensurate with experience
  • Comprehensive health, dental, vision, and equity package
  • Flexible PTO, and a culture committed to growth and inclusion
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