Blackhornvc
About Dexterity
At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We’re starting with warehouse automation to improve resilient supply chains. Dexterity’s full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked over 15 million goods in production. We’re customer-obsessed and focus on empowering customers with robots to do more than they thought possible. Dexterity is backed by investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse, multidisciplinary team with a culture built on passion, trust, and dedication." About the Role
Forward Deployed Engineer — you are the front line leading Dexterity’s robots into new opportunities. You bridge gaps between Dexterity’s standard product and the challenges of new customer engagements or market segments. Your mission is to bring new applications online in the field and demonstrate operational metrics necessary to rapidly unlock fleet-wide scaling at each new customer opportunity. This role is ideal for engineers who enjoy developing robotic solutions that operate in the real world at scale. It requires a broad, systems-level understanding of the full robotic tech stack (software and hardware). You will perform system-level performance analysis and drive solutions through hands-on engineering, partnering with other teams across Dexterity, third-party partners, and customers. This description reflects the responsibilities and requirements for the role as described; no translations or additions beyond the original language have been made. Physical & Work Environment
Location: Redwood City, CA. Office desk-based tasks and lab-floor testing. Travel: Frequent travel to customer locations, typically 50% on-site. On-site requirements: Warehouse conditions (temperature variations, industrial noise) and prolonged standing or walking. Core Outcomes
New Solution Introduction: Ensure successful pilot outcomes by driving field operations, resolving early issues, meeting customer KPIs, and preparing solutions to scale post-pilot. High Quality and Rapid Resolution: Drive fixes with traceability, change management, and elimination of repeat occurrences. Operational Excellence: Deliver solutions ready to scale with ease of use and available uptime. Customer Trust: Be the named technical point-of-contact for one or more strategic sites. Engineering Feedback Loop: Develop integrations, robotic skills, and capabilities; improve methodologies to incorporate field learning into the core platform towards general robot intelligence. Deliver actionable bug reports and reproducible cases to accelerate root-cause analysis. Field Enablement: Develop tooling, documentation, and guidance for application services teams at pilot and production sites; curate information to drive automation of the support system. Tooling & Observability: Improve observability using platforms like Portal, Foxglove, Kibana, ArgoCD, and Grafana to understand system behavior as new skills and use cases are added. Key Responsibilities
Drive System Performance Improvement in the Field: Translate field operations into better systems, learning, and robot skills to optimize top-line performance as deployments scale. Diagnose & Resolve Incidents: Analyze logs, telemetry, data, and container metrics; reproduce in staging; craft workarounds or hot-fixes; document in ticketing systems (Jira/Zendesk). Proactive Monitoring: Tune alerts, dashboards, and anomaly-detection models; track performance toward KPI targets. Field Presence: Embed on customer sites during go-lives, major upgrades, or issue hunts; surface insights via observability. Knowledge & Automation: Write SOPs, runbooks, and self-service articles; contribute to CLI tools and scripts in Python/Bash; mentor TAC on new failure modes. Continuous Improvement Projects: Partner with Product and Engineering on feature hardening, performance tuning, and reliability improvements. Own and execute NPI software commissioning at customer sites, including tooling setup, system testing, and calibration. Core Skills & Experience
BS or MS in Computer Science, Robotics, or related discipline, or relevant experience. Proficient in Python or C++, with experience delivering a large project or product feature. Aptitude for Hands-On Work in Physical-AI Environments — willing to work across the full breadth of the robot stack from sensors to software. Data-driven mindset with ability to instrument, query, and visualize telemetry. Familiarity with 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 with ownership in ambiguous environments; bias for action and a sense of urgency in production contexts. Nice-to-Have, Role-Specific Strengths
Experience supporting AI/ML inference platforms (model drift, retraining pipelines). System-level troubleshooting across Linux, networking, containers, and cloud services. Familiarity with message queues and real-time data buses (REST API). Exposure to industrial automation or warehouse management systems. Knowledge of CI/CD workflows and feature-flag rollouts. Basic understanding of robot kinematics and perception pipelines to converse with Product Support colleagues. Qualifications
Bachelor’s degree in an engineering discipline (e.g., Mechanical, Electrical, Industrial, Robotics) or Computer Science; equivalent practical experience welcome. 2+ years in a SaaS, DevOps, Site Reliability, or Application Support role handling customer-facing production systems. Comfortable working extended hours, on-site or on-call rotations for high-severity incidents. Equal Opportunity
Equal Opportunity Employer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation
130000 - 170000 USD a year Our Total Rewards philosophy acknowledges contributions toward meaningful innovation. Base pay is one component of a broader compensation package that may include equity grants, benefits, and other incentives, depending on role and eligibility. 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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At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We’re starting with warehouse automation to improve resilient supply chains. Dexterity’s full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven and hardware-agnostic and have already picked over 15 million goods in production. We’re customer-obsessed and focus on empowering customers with robots to do more than they thought possible. Dexterity is backed by investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse, multidisciplinary team with a culture built on passion, trust, and dedication." About the Role
Forward Deployed Engineer — you are the front line leading Dexterity’s robots into new opportunities. You bridge gaps between Dexterity’s standard product and the challenges of new customer engagements or market segments. Your mission is to bring new applications online in the field and demonstrate operational metrics necessary to rapidly unlock fleet-wide scaling at each new customer opportunity. This role is ideal for engineers who enjoy developing robotic solutions that operate in the real world at scale. It requires a broad, systems-level understanding of the full robotic tech stack (software and hardware). You will perform system-level performance analysis and drive solutions through hands-on engineering, partnering with other teams across Dexterity, third-party partners, and customers. This description reflects the responsibilities and requirements for the role as described; no translations or additions beyond the original language have been made. Physical & Work Environment
Location: Redwood City, CA. Office desk-based tasks and lab-floor testing. Travel: Frequent travel to customer locations, typically 50% on-site. On-site requirements: Warehouse conditions (temperature variations, industrial noise) and prolonged standing or walking. Core Outcomes
New Solution Introduction: Ensure successful pilot outcomes by driving field operations, resolving early issues, meeting customer KPIs, and preparing solutions to scale post-pilot. High Quality and Rapid Resolution: Drive fixes with traceability, change management, and elimination of repeat occurrences. Operational Excellence: Deliver solutions ready to scale with ease of use and available uptime. Customer Trust: Be the named technical point-of-contact for one or more strategic sites. Engineering Feedback Loop: Develop integrations, robotic skills, and capabilities; improve methodologies to incorporate field learning into the core platform towards general robot intelligence. Deliver actionable bug reports and reproducible cases to accelerate root-cause analysis. Field Enablement: Develop tooling, documentation, and guidance for application services teams at pilot and production sites; curate information to drive automation of the support system. Tooling & Observability: Improve observability using platforms like Portal, Foxglove, Kibana, ArgoCD, and Grafana to understand system behavior as new skills and use cases are added. Key Responsibilities
Drive System Performance Improvement in the Field: Translate field operations into better systems, learning, and robot skills to optimize top-line performance as deployments scale. Diagnose & Resolve Incidents: Analyze logs, telemetry, data, and container metrics; reproduce in staging; craft workarounds or hot-fixes; document in ticketing systems (Jira/Zendesk). Proactive Monitoring: Tune alerts, dashboards, and anomaly-detection models; track performance toward KPI targets. Field Presence: Embed on customer sites during go-lives, major upgrades, or issue hunts; surface insights via observability. Knowledge & Automation: Write SOPs, runbooks, and self-service articles; contribute to CLI tools and scripts in Python/Bash; mentor TAC on new failure modes. Continuous Improvement Projects: Partner with Product and Engineering on feature hardening, performance tuning, and reliability improvements. Own and execute NPI software commissioning at customer sites, including tooling setup, system testing, and calibration. Core Skills & Experience
BS or MS in Computer Science, Robotics, or related discipline, or relevant experience. Proficient in Python or C++, with experience delivering a large project or product feature. Aptitude for Hands-On Work in Physical-AI Environments — willing to work across the full breadth of the robot stack from sensors to software. Data-driven mindset with ability to instrument, query, and visualize telemetry. Familiarity with 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 with ownership in ambiguous environments; bias for action and a sense of urgency in production contexts. Nice-to-Have, Role-Specific Strengths
Experience supporting AI/ML inference platforms (model drift, retraining pipelines). System-level troubleshooting across Linux, networking, containers, and cloud services. Familiarity with message queues and real-time data buses (REST API). Exposure to industrial automation or warehouse management systems. Knowledge of CI/CD workflows and feature-flag rollouts. Basic understanding of robot kinematics and perception pipelines to converse with Product Support colleagues. Qualifications
Bachelor’s degree in an engineering discipline (e.g., Mechanical, Electrical, Industrial, Robotics) or Computer Science; equivalent practical experience welcome. 2+ years in a SaaS, DevOps, Site Reliability, or Application Support role handling customer-facing production systems. Comfortable working extended hours, on-site or on-call rotations for high-severity incidents. Equal Opportunity
Equal Opportunity Employer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation
130000 - 170000 USD a year Our Total Rewards philosophy acknowledges contributions toward meaningful innovation. Base pay is one component of a broader compensation package that may include equity grants, benefits, and other incentives, depending on role and eligibility. 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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