Senior Robotics Engineer, Body at Stable Auto

Warsaw, Indiana, United States

Stable Auto Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, ManufacturingIndustries

Requirements

  • 8–10 years of robotics & automation experience, preferably in high-volume automotive manufacturing
  • Strong troubleshooting skills with Fanuc robots and robotic applications in welding, material handling, and dispensing processes
  • Hands-on experience with vision systems and adhesive dispense systems (IAS)
  • Proven ability to analyze issues, make quick decisions, and implement solutions under production pressure
  • Familiarity with IATF 16949, PFMEA, Control Plans, and process poke-yoke principles
  • Excellent cross-functional collaboration and communication skills
  • Experience with Process Simulate, RobCAD, or other offline programming tools (plus)

Responsibilities

  • Support daily production by troubleshooting and resolving robotic issues quickly to minimize downtime
  • Teach, adjust, and optimize TCPs, Frames, Loads, and DCS (Safety Configuration)
  • Configure and maintain robot I/O, communication protocols, and interfaces with peripheral equipment
  • Sustain and improve dispense systems, vision systems, and bead detection systems within Bodyshop applications
  • Continuously improve cycle time, throughput, and reliability through robot path and program optimization
  • Implement running changes and validate modifications with minimal disruption to production
  • Partner with Quality, Dimensional, and Maintenance teams to investigate failures, conduct root cause analysis, and drive corrective/preventive actions
  • Document and maintain robot programs, backups, and change history
  • Train and mentor maintenance technicians and junior engineers on robot troubleshooting and standards
  • Actively participate in PFMEAs, control plans, poke-yoke solutions, and continuous improvement projects

Skills

Robotics
Automation
TCP
Frames
Loads
DCS
Robot I/O
Communication Protocols
Dispense Systems
Vision Systems
Bead Detection
Root Cause Analysis
PFMEA
Poke-Yoke
Robot Programming

Stable Auto

Optimizes charging infrastructure for electric vehicle fleets

About Stable Auto

Stable Auto optimizes the charging infrastructure for electric vehicle (EV) fleets, catering to logistics companies, public transportation agencies, and corporate fleets transitioning to electric vehicles. The company provides advanced software and consulting services that utilize machine learning and operations research to help clients identify the best locations for charging stations, determine optimal charging times, and minimize both capital and operational expenditures. By simulating real-world fleet behaviors, Stable Auto delivers actionable insights that enhance performance and reduce costs. Their revenue model includes subscription fees for their software platform and consulting fees for tailored advisory services. The team consists of experts in machine learning, operations, and energy, enabling them to offer practical solutions that improve fleet management.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$18.4MTotal Funding
SERIES_ACompany Stage
Automotive & Transportation, Consulting, AI & Machine LearningIndustries
11-50Employees

Benefits

Flexible Work Hours
Remote Work Options
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Parental Leave

Risks

Increased competition from established players like Shell may limit market share.
Low utilization rates of EV chargers threaten the profitability of infrastructure investments.
Rapid growth in public fast charging sites may reduce demand for consulting services.

Differentiation

Stable Auto uses machine learning to optimize EV fleet charging infrastructure.
The company offers customized solutions tailored to each client's specific needs.
Stable Auto's team includes experts from top companies and academic institutions.

Upsides

Partnerships with companies like Blink Charging enhance Stable Auto's market presence.
The rise of vehicle-to-grid technology offers new revenue streams for fleet operators.
AI-driven predictive maintenance reduces downtime and maintenance costs for charging stations.

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