Remote Vehicle Reliability Engineer - Data-Driven Auto

Vaid Mecánica Sa De Cv

Santiago de Querétaro

Remote

MXN 800,000 - 1,200,000

Full time

2 days ago
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Benefits offered by this job

Health, dental & vision insurance
401(k) plan with company match
Paid time off
Remote work from anywhere

Job summary

Our client, Vaid Mecánica Sa De Cv, is seeking a highly skilled Remote Vehicle Reliability Engineer to join a remote-first team. The role focuses on analyzing vehicle data, identifying failure modes, and developing strategies to enhance reliability across automotive products.

Collaboration with cross-functional teams across regions is essential, with the position based out of Acapulco, Guerrero. The candidate should have a strong background in vehicle systems and advanced analytics, with

Qualifications

  • Bachelor's degree in Mechanical/Automotive Engineering.
  • Minimum 5 years in vehicle reliability engineering within the automotive industry.
  • Experience with reliability prediction methods and data analysis.

Responsibilities

  • Conduct in-depth analysis of vehicle field data to identify reliability trends and root causes of failures.
  • Develop and implement reliability testing plans for vehicle components and systems.
  • Collaborate with design and engineering teams to integrate reliability considerations into new product development.
  • Monitor warranty claims and customer feedback to proactively address issues.
  • Create detailed reports and present findings to management and engineering teams.
  • Develop and maintain reliability prediction models and statistical analysis tools.
  • Participate in cross-functional design reviews focusing on reliability and durability.

Skills

Statistical analysis
FMEA
Weibull analysis
Data analysis
Remote work
Communication

Education

Bachelor's degree in Mechanical Engineering

Tools

Minitab
JMP

Job description

Our client, Vaid Mecánica Sa De Cv, is seeking a highly skilled Remote Vehicle Reliability Engineer to join a remote-first team. The role focuses on analyzing vehicle data, identifying failure modes, and developing strategies to enhance reliability across automotive products.

Collaboration with cross-functional teams across regions is essential, with the position based out of Acapulco, Guerrero. The candidate should have a strong background in vehicle systems and advanced analytics, with

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