ABOUT i-charging:
i-charging is a technology company focusing on electric vehicle charging infrastructure. We have in-house developed offer, based on the deep knowledge of the sector, both on technology and market.
We develop innovative hardware and software solutions that optimize our customer's operations, smooth user experience and the electric grid utilization.
We want to be a global reference in the e-mobility sector, providing a distinctive offer and generating value for the community.
POSITION SUMMARY:
The overall responsibility for this role will be develop analysis methods to determine reliability of components and equipment. Conduct analysis of reliability problems and investigate to determine the required reliability approach for a particular situation, with consideration given to cost limitations for equipment uptime/downtime, repair/replacement costs and availability of materials/equipment.
DUTIES & RESPONSIBILITIES:
- Analyze projected product utilization and calculates cumulative effect on final system reliability of individual part reliabilities,
- Drafts failure mode and effect analysis sheets to identify units posing excessive failure risks and support proposed changes in design,
- Enters data to simulate electrical inputs, transient conditions, temperature, stress, and analyzes and adjusts design to predict and improve system reliability,
- Advises and confers with design review meetings to give reliability findings and recommendations,
- Monitors failure data generated in the field to compare with predictions and determine potential requirement for product improvement,
- Maintenance Plan that includes:
✓ Value-added preventive maintenance tasks,
✓ Effective utilization of predictive and other non-destructive testing methodologies designed to identify and isolate inherent reliability problems,
✓ Spare part optimization.
- Analysis of components / equipment failure rate. To fulfill this can be applied:
✓ Data analysis techniques that can include:
- Statistical Process Control,
- Reliability modeling and prediction,
- Fault Tree Analysis,
- Weibull Tree Analysis,
- Six Sigma (6σ) Methodology:
✓ Root-cause and Root-Cause Failure Analysis (RCA, RCFA),
✓ Failure Reporting, Analysis and Corrective Action System (FRACAS).
- Applies value analysis to repair/replace, repair/redesign, and make/buy decisions.
INTERACTIONS & INTERFACES:
- Internally will interact with R&D and Operations departments,
- Externally will interact with suppliers and customers,
- Reports to Product Engineering Coordinator.
SKILLS & COMPETENCIES:
- Master's degree in Electronic Engineering,
- Excellent written and verbal communication skills,
- Excellent organizational skills and attention to detail,
- Ability to work effectively in a team environment and build strong working relationships,
- High degree of initiative and self-motivation with a strong sense of accountability,
- Knowledge in data analysis techniques.
PREFERRED:
- Experience in Reliability Engineering.
A FINAL NOTE:
You do not need to match every listed expectation to apply for this position. Here at i-charging, we know that diverse perspectives foster innovation, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
'Privacy Policy
i-charging is the entity responsible for the collection and processing of the Applicants' Personal Data, and in this context, decides which data is collected, the means of processing and the purposes for which the data is processed.
Contact details of the body responsible:
Av. Marechal Gomes da Costa, nº 50, 4150-354 Porto; ***
The personal data is processed for the purposes of selecting and recruiting the Candidate, and if selected, integrating i-charging within the framework of an employment contract/internship relationship.
The basis of the lawfulness for the collection and processing of personal data, taking into account the indicated purposes, relates to the need to process the personal data of the Candidate for the execution of pre-contractual diligences.
The processing of personal data related to the applicant's disability is based on the need to comply with obligations arising from labor and social protection legislation.
The processing of personal data not requested but provided by the Candidate is based on the Candidate's consent, and the Candidate may withdraw consent in writing in a request addressed to the Data Protection Officer or the Data Controller.
The data may be transmitted to a subcontractor for the recruitment process.
The Candidate's personal data will be kept for a period of 5 year's starting from the date of submission of the application, if after completion of the recruitment and selection the Candidate is not selected. The Candidate not selected authorizes i-charging to use his/her data for such period for subsequent similar recruitment processes.
The Candidate may:
(i) confirm and request a copy of the personal data (right of access); (ii) request the correction or updating of the personal data where they are inaccurate, outdated or incomplete (right of rectification); limit the processing of the data (right to limitation of processing); request their erasure (right to erasure); receive the personal data concerning him/her in a format which allows ordinary use and automatic reading and the right to transmit such data to another controller (right to data portability); right to lodge a complaint with a supervisory authority if he/she considers that the processing of the personal data infringes applicable law (right to lodge a complaint with a supervisory authority).
To exercise his/her rights and in matters relating to the processing of personal data, the Candidate may contact the Data Protection Officer by sending a communication to the e-mail *** or via the postal address of the Controller. The Candidate may also exercise his or her rights with the National Data Protection Board at cnpd.pt'.