Drimva

Dexterity

Forward Deployed Engineer

$130K–$170K

Redwood City, CA · On-site · Full-time · Posted Sep 24, 2025

Experience
2+ years in a SaaS, DevOps, Site Reliability, or Application Support role handling customer-facing production systems.
Education
Bachelor’s degree in an engineering discipline or Computer Science, or equivalent practical experience; the posting also accepts a BS or MS in Computer Science, Robotics, or a related discipline, or relevant experience.

About the job

Deploy and improve Dexterity’s robotic systems at customer sites by commissioning new solutions, resolving production issues, and translating field experience into scalable product improvements.

What you'll do

  • Commission and support robotic solutions at customer sites, including testing, calibration, and go-live support.
  • Diagnose incidents using logs, telemetry, databases, and container metrics; develop fixes and improve monitoring and reliability.
  • Build integrations, tools, documentation, and feedback loops that help customer deployments scale.

What they ask for

  • Proficient in Python or C++, with experience implementing a large project or product feature.
  • At least 2 years in a SaaS, DevOps, Site Reliability, or Application Support role handling customer-facing production systems.
  • Willingness to work across the robot stack, from sensors to software, and to work extended hours, on-site, or on-call for high-severity incidents.
  • Strong analytical and debugging skills, including parsing logs and telemetry.

Nice to have

  • Experience supporting AI/ML inference platforms, including model drift or retraining pipelines.
  • Exposure to industrial automation or warehouse management systems.

Pay

USD 130,000–170,000 (per-year-salary) (base salary)

Tools

Python, C++, Grafana, Kibana, Foxglove, ArgoCD, Jira, Zendesk

AI focus

Support AI/ML inference platforms, monitor model drift and retraining pipelines, and improve robot skills and capabilities using field learning.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)