Entry Level Validation Engineer

Groupe SEGULA Technologies SA; Chelsea (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

Groupe SEGULA Technologies SA is seeking an NVH Benchmark Data Analyst to support vehicle-level benchmarking efforts. You will test, process, and report standard NVH data, ensuring consistency across datasets and adherence to templates.

You will apply established digital signal processing methods using Siemens Simcenter Testlab, maintain traceability from raw to reported results, and contribute to KPI calculations and management reviews.

Qualifications

• Experience with NVH benchmark testing.
• Ability to organize and process large datasets.
• Familiarity with KPI calculation and reporting.

Responsibilities

• NVH Vehicle Benchmark Testing: Coordinate and conduct standard NVH vehicle-level benchmark testing; Work with technicians; Support process improvements to boost efficiencies.
• NVH Benchmark Data Processing: Access, organize, and process NVH benchmark data; apply standard DSP methods; ensure consistency of naming, units, and test conditions; maintain traceability.
• Data Analysis & Interpretation: Execute standardized NVH metrics and KPIs; compare vehicles/configurations using consistent methods.
• Reporting & Deliverables: Generate standard NVH benchmark reports; populate tables/plots; ensure reports are accurate and repeatable; refine formats and metrics.
• Tool Utilization & Data Management: Analyze/post-process data using NVH software; automate workflows; archive data and reports; document assumptions and settings.
• Quality & Process Compliance: Apply quality checks for data completeness and metric validity; verify compliance with NVH standards and protocols.

Skills

NVH benchmarking

Data processing

Siemens Simcenter Testlab

Tools

Siemens Simcenter Testlab

Job description

Responsible for testing, analyzing, processing, and reporting standard vehicle-level NVH benchmark test data to support competitive assessments, program tracking, and objective decision-making. The role focuses on repeatable testing, data processing, standardized metrics, and consistent reporting, rather than experimental test development.

Key Responsibilities

• NVH Vehicle Benchmark Testing

  • Coordinate and conduct standard NVH vehicle-level benchmark testing

  • Work with Union Mechanics / Technicians

  • Support process improvement actions in the organization to improve operational and economic efficiencies

• NVH Benchmark Data Processing

  • Access, organize, and process standard NVH vehicle-level benchmark test data from approved test events and internal databases.

  • Apply established digital signal processing methods (filtering, windowing, integration, time/frequency transforms) using standard NVH workflows.

  • Ensure consistency of channel naming, units, test conditions, and signal post-processing across benchmark datasets.

  • Maintain traceability between raw data, processed data, and reported results.

• Data Analysis & Interpretation

  • Execute standardized NVH metrics and KPIs for vehicle-level benchmarking (e.g., overall levels, order content, bandlimited metrics, event-based metrics).

  • Perform direct vehicle-to-vehicle and configuration-to-configuration comparisons using consistent analysis methods.

• Reporting & Deliverables

  • Generate standard NVH benchmark reports following approved templates and formats.

  • Populate tables, plots, and summaries that clearly highlight competitive performance and relative rankings.

  • Ensure reports are technically accurate, repeatable, and suitable for engineering and management review.

  • Support continuous refinement of standard benchmark report formats and metrics.

• Tool Utilization & Data Management

  • Analyze and post-process data using industry-standard NVH software (Siemens Simcenter Testlab).

  • Use scripting, batch processing, or automated workflows where applicable to improve efficiency and consistency.

  • Archive processed data and reports in standard NVH data management systems following established conventions.

  • Document analysis assumptions, processing settings, and limitations for future reuse.

• Quality & Process Compliance

  • Apply quality checks to confirm data completeness, processing correctness, and metric validity.

  • Verify that benchmark analyses comply with internal NVH standards and test protocols.