Autonomous Vehicle Sustaining Engineer

manpowe; Foster City (CA); On-site; USD 105,000 - 113,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Plan

Supplemental Life Insurance

Short Term and Long Term Disability

Job summary

manpowe is seeking a Sustaining Engineer in Foster City, CA to support the Fleet Reliability and Maintenance Teams in the Engineering Support Department. The role emphasizes diagnosing vehicle and hardware issues, leading root-cause analyses, and driving improvements for reliability and fleet availability.

The ideal candidate has a BS in engineering, 5+ years in relevant fields, and strong skills in Python/SQL and CATIA.

Qualifications

• BS in Mechanical or Electrical Engineering; MS preferred.
• 5+ years of experience in electrical and mechanical design in product development, manufacturing, or sustaining environments.
• Proven ability with root cause analysis, DFMEA, validation testing.
• Proficient in Python/SQL/Vector CANalyzer/Databricks for data analysis.
• Strong communication and cross-functional collaboration skills.

Responsibilities

• Diagnose and resolve vehicle and hardware issues across OEM systems.
• Lead end-to-end field/manufacturing issue resolution with RCA and validation.
• Drive design updates to improve reliability, durability, and fleet availability.
• Manage Engineering Change Requests with validation and testing plans.
• Collaborate with suppliers, manufacturing, and service teams to deliver durable solutions.

Skills

Problem solving

Communication

Proactive mindset

Root cause analysis

DFMEA

Data analysis

Education

BS in Mechanical or Electrical Engineering; MS preferred

Tools

Python

SQL

Vector CANalyzer

Databricks

CATIA

Job description

manpowe is seeking a Sustaining Engineer in Foster City, CA to support the Fleet Reliability and Maintenance Teams in the Engineering Support Department. The role emphasizes diagnosing vehicle and hardware issues, leading root-cause analyses, and driving improvements for reliability and fleet availability.

The ideal candidate has a BS in engineering, 5+ years in relevant fields, and strong skills in Python/SQL and CATIA.