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Slip Robotics

Robotic loading automation for trucks

Service Support Engineer

Mechanical Maintenance and Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNorcross, GA, USA

About the Job

Requirements

  • The candidate must have 3–6 years of experience in reliability engineering, sustaining engineering, field service engineering, or a closely related technical role with a strong failure analysis component.
  • The candidate must have demonstrated experience conducting structured root cause analysis using formal methodologies such as 8D, FMEA, fishbone/Ishikawa, 5-Why, or an equivalent method, and be able to produce formal root cause analysis documentation.
  • The candidate must have hands-on electromechanical troubleshooting experience, understand the physical systems being analyzed, and be capable of performing bench-level validation independently.
  • The candidate must be able to form, design, and execute hypothesis-driven test plans, moving from observation to structured investigation without waiting for direction.
  • The candidate must have technical writing skills sufficient to create clear, structured, usable root cause analysis reports, preventative maintenance procedures, and failure documentation for technical and non-technical audiences.
  • The candidate must be comfortable operating without established processes and able to build structure where none exists.
  • The candidate must be able to travel up to 50%.

Responsibilities

  • Own fleet-wide root cause analysis for systemic failures across all deployed products.
  • Receive structured failure characterization from Diagnostic Engineers and conduct deeper analytical and hands-on investigations to identify true root causes.
  • Form and test hypotheses through bench-level and field validation; design test protocols and execute them directly or in coordination with Diagnostic Engineers and Field Maintenance.
  • Produce formal root cause analysis reports documenting failure evidence, causal chain, validated root cause, and corrective action recommendations to support engineering review and corrective action tracking.
  • Drive root cause analysis findings to verified closure in partnership with Quality by validating corrective actions.
  • Distinguish systemic failure patterns from one-off incidents and escalate confirmed systemic issues through appropriate cross-functional channels.
  • Maintain the deployed fleet failure knowledge base, including documented root cause analyses, failure modes, corrective actions, and trend data that inform preventative maintenance development and future diagnostic work.
  • Develop and deploy the preventative maintenance program for all deployed Slip Robotics products, defining schedules, procedures, and intervals across SlipBot and SlipLift autonomous loading robots and establishing preventative maintenance as a structured, repeatable Service Delivery function.
  • Define preventative maintenance schedules, procedures, task descriptions, and intervals for SlipBot and SlipLift autonomous loading robots based on field failure history, product knowledge, and reliability analysis.
  • Partner with Field Maintenance and Field Engineering to validate preventative maintenance procedures in the field before full deployment and iterate based on technician feedback and observed outcomes.
  • Own rollout and ongoing management of the preventative maintenance program across active customer sites, coordinating with Field Maintenance to ensure tasks are executed on schedule.
  • Track preventative maintenance compliance across the fleet and identify and resolve execution gaps in coordination with Field Maintenance management.
  • Update preventative maintenance procedures as new failure modes are identified through root cause analysis or field observation.
  • Serve as the primary reliability partner to the Diagnostic Engineering team by guiding complex failure characterization, reviewing initial analyses, and identifying when ticket-level failures warrant fleet-level investigation.
  • Partner with Quality on root cause analysis closure by co-owning corrective action validation and ensuring findings are formally documented and tracked to resolution.
  • Surface confirmed systemic findings to the Field Engineering Manager, Quality, and, where appropriate, Engineering and Manufacturing, using structured documentation.
  • Support the Field Engineering Manager in building Service Delivery reliability infrastructure, including documentation standards, root cause analysis templates, preventative maintenance tracking systems, and escalation criteria.
  • Contribute to Diagnostic Engineer development by sharing failure knowledge, explaining analytical methods, and helping build diagnostic capability across the Field Engineering team.

Desired Qualifications

  • Experience in robotics, industrial automation, warehouse automation, electric vehicle systems, or a hardware-as-a-service environment where assets are deployed and operated at customer sites.
  • Prior experience building or formalizing a preventative maintenance program, including defining intervals, writing procedures, and deploying them to a field team.
  • Familiarity with fleet monitoring tools, telemetry data, or operational dashboards used to identify failure trends across a distributed asset base.
  • Experience working in a reliability or sustaining function absorbed by an operations or field services team rather than supported by a dedicated engineering organization.
  • Proficiency with Jira, Zendesk, Confluence, or similar platforms used for ticket management and technical documentation.

About the Company

Slip Robotics

Robotic loading automation for trucks

Slip Robotics provides the SlipBot, an Automated Loading Robot offered as a Robots-as-a-Service for loading docks. The system loads or unloads a full trailer in about five minutes by staging freight at the dock and moving it as a single unit, with control software (SlipController and SlipView) and attachments for non-uniform items, all without facility changes or IT setup. They differentiate themselves with rapid deployment, trailer-agnostic hardware, a data-driven management layer, and a safety advantage by removing forklift operators from trailer interiors under a subscription model. Their goal is to cut dock loading time and truck dwell, boost throughput, and scale deployments while delivering actionable operational data.

Company size
51-200
Company stage
Series B
Total funding
$44M
Headquarters
Norcross, GA
Founded
2020

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