Validation Methods and Reliability Engineer

Job description:

WHAT TO EXPECT

The Validation Methods and Reliability Engineer is a member of the DV team who is primarily responsible for monitoring and tracking the reliability for unit battery programmes and deriving improved validation methods to further substantiate unit test plans. The role includes derivation of measurement systems, data analysis, process and standardisation in support of unit validation activity.

The Validation Methods and Reliability Engineer should work in cross functional collaboration within the Engineering and Quality functions, to ensure all validation methods and processes are aligned to meet internal customer requirements efficiently, and to ensure a reliable & high quality product is delivered to our external customers. The Validation Methods and Reliability Engineer ultimately reports to the Principal Engineer for validation.

WHAT YOU'LL NEED

A successful candidate will be able to maintain a meaningful set of KPIs for reliability performance throughout a unit programme and report against progress. You will be expected to provide reliability design and process guidelines based on field findings and maintain a knowledge base of reliability lessons learned to enable continuous improvement. As well as this, you will be supporting continuous improvement activity including the creation and maintenance of Jaguar Land Rover company standards relevant to role. A key responsibility in this role is to interface with departmental customers effectively.

A Validation Methods and Reliability Engineer will lead interactions with customers and suppliers, resolving any conflicts and ensuring appropriate escalation of issues for resolution as necessary and use reliability engineering principles to support Design Validation (DV) process for unit programme gateways. In this role, you will also support relevant technical reviews and issue resolution for reliability issues through established processes and standard Jaguar Land Rover tools (AIMS/Prevent Recurrence and 8D) with major focus on a data driven approach.

Knowledge, Skills and Experience

Essential:
Strong technical background with some knowledge of power unit engineering, components and systems.
Some experience of automotive component/system design and validation.
An understanding of design principles and the application of quality tools within a product engineering environment.
Able to prioritise & derive workload and lead key responsibilities both individually and contribute/lead a crossfunctional team.
Knowledge of problem solving, and quality tools is essential, together with a structured, logical and objective based approach to all aspects of their role.
Some experience and proficiency in data processing


Desirable:
In depth understanding of physics of failure found in automotive powertrain systems.
Ability to apply mathematical tools as a part of statistical data analysis (i.e. formal 6 Sigma qualification).
Good working knowledge of Product Creation Delivery System (or similar process).
Knowledge of the ReliaSoft Synthesis Platform, including Weibull++, BlockSim, ALTA, RGA, and xFMEA.
Knowledge of reliability warranty analysis and reliability prediction methods, including parametric and nonparametric methods.
Knowledge of reliability growth techniques, such as Duane, Crow-AMSAA and Crow Extended.