Vehicle System Triage Analyst Engineer; Allen Park, MI

Vehicle System Triage Analyst Engineer (Allen Park, MI)

Objective:
Serve as the first line of defense for complex EV system issues within program, performing rapid triage, cross-functional coordination, and data-driven problem solving to ensure safe, reliable, and high-performance vehicle operation. Build and maintain program-level triage knowledge bases to scale across multiple vehicle platforms.

• Act as the primary triage point for advanced EV system issues across E/E architecture, HV propulsion, software/firmware, and safety domains within CE1.
• Verify reproducibility of symptoms; assess field vs. lab data for safety implications; clearly bound the scope to prevent harm.
• Gather and align data: logs (CAN, Ethernet, serial), diagnostic trouble codes, BMS history, thermal trends, charging data, OTA history, and variant information.
• Design controlled reproduction steps or data-window analyses, document assumptions and limitations.
• Propose non-invasive checks first; specify required data, traces, bench tests, and sequence tests by likelihood and risk.
• Use structured methods (fault trees, 5 Whys, 8D) to connect symptoms to root causes; identify latent failure modes and environmental factors.
• Lead and coordinate with hardware, software, powertrain, thermal, safety, and cybersecurity teams; drive concise briefs, handoffs, and decision records.
• Produce concise triage briefs, RCA summaries, and knowledge-base entries; maintain a pattern library of recurring symptom clusters and typical causes.
• Apply a formal risk scoring approach (likelihood x impact) to determine escalation paths to appropriate domains and management levels.
• Propose immediate mitigations (config/workarounds) and longer-term actions (design changes, software patches, OTA updates).
• Archive evidence, record decisions, and deliver a handoff brief with next steps and owners; ensure downstream teams have clear action items.

• Bachelor’s degree in Electrical/Automotive Engineering, Computer Science, or related field; 3+ years of hands-on EV/system diagnostics (or equivalent).
• Strong command of vehicle E/E architectures, domain controllers, HV propulsion (battery, BMS, inverter, motor, thermal management), and functional safety basics.
• Proficiency with automotive networks (LIN, CAN/CAN-FD, Ethernet), diagnostic tools, log analysis, and interpretation of system interactions, timing, and environmental impacts.
• Demonstrated ability to perform structured root-cause analysis (fault trees, 5 Whys, Ishikawa) and derive actionable steps from partial data.
• Experience with OTA/update processes, software versioning, traceability, and baseline/fault-change management.
• Strong written and verbal communication
  ; able to produce executive summaries and technical appendices; proven cross-functional collaboration.
• Comfortable in a fast-paced program environment; able to balance speed with rigor and prioritize high-impact work.

• Advanced diagnostic tooling and environments
• Experience with HIL, bench/rig testing, lab equipment, and diagnostic simulators.
• Coding and data tools
• Proficiency in Python or MATLAB for data processing; data visualization skills (Excel, Tableau, Power BI, etc.).
• RCA documentation
• Experience with formal RCA templates, pattern libraries, and reusable triage playbooks.
• Additional EV domains
• Familiarity with charging standards (NACCS/CCS), V2X concepts, and battery chemistries.
• Functional safety training/certifications (ISO 26262 or equivalent)
• Foundational knowledge of ISO 26262/ASIL concepts and basic automotive cybersecurity practices relevant to vehicle systems.
• Automotive cybersecurity basics
• OEM or supplier-specific EV safety training.
• Strong understanding of vehicle dynamics
• An eagerness to work cross-functionally in a dynamic environment where you are part of a high performing team

Estimated Min Rate
: $50.00
Estimated Max Rate
: $80.00

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