Sensor Systems Validation Engineer: Data-Driven V&V

Kforce Inc

San Mateo (CA)

On-site

USD 140,000 - 190,000

Full time

9 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)

Job summary

Kforce Inc is seeking a highly skilled researcher to contribute to verification and validation of next‑gen sensor systems (lidar/camera/radar) for advanced platforms. You will work with systems, software, and hardware engineers to craft V&V methodologies and execute data-driven validation plans.

The role focuses on designing simulation tests, translating requirements into actionable data mining plans, and building automation tools to derive KPIs from sensor data.

Qualifications

  • Ph.D. or Master’s with 3+ years in sensor/perception systems development/testing.
  • Familiarity with camera, lidar or radar.
  • Experience with data mining (SQL, PySpark, Scala, or similar).
  • Experience analyzing data with Python or Matlab/C++.

Responsibilities

  • Contribute to V&V activities for next generation sensor platforms.
  • Collaborate with systems, software and hardware engineers to improve V&V methods.
  • Design and execute test plans in simulation environments.
  • Translate bounding scenarios into data mining plans and validate datasets.
  • Integrate software pipelines to generate system KPIs from sensor data.
  • Write reusable test automation and analysis software (Python/C++).

Skills

Sensor data analysis
Python
C++
Team collaboration
Matlab

Education

Ph.D. in relevant field
Master's in Engineering

Tools

SQL
PySpark
Scala

Job description

Kforce Inc is seeking a highly skilled researcher to contribute to verification and validation of next‑gen sensor systems (lidar/camera/radar) for advanced platforms. You will work with systems, software, and hardware engineers to craft V&V methodologies and execute data-driven validation plans.

The role focuses on designing simulation tests, translating requirements into actionable data mining plans, and building automation tools to derive KPIs from sensor data.

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