Solution Engineer - Tooling
This customer-facing role architects and deploys simulation, data management, and CI/CD validation solutions for ADAS and autonomous-driving teams at automotive OEMs and Tier 1 suppliers. Candidates need at least three years of relevant development, validation, or simulation experience, automotive testing expertise, and Python or C++ skills.
About the job
Responsibilities
- Serve as the primary technical point of contact for customers evaluating simulation and data management tooling.
- Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain.
- Support customers integrating the platform into ADAS/AD CI/CD pipelines across SIL, HIL, and VIL stages.
- Guide customers through closed-loop data flywheels, including data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation.
- Help customers configure scenario-based testing and automated pass/fail metrics for validation programs.
- Translate customer feedback into actionable product insights for engineering teams.
- Manage technical workstreams and milestones across multi-stakeholder customer programs.
Requirements
- 3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company.
- Hands-on experience with software testing methodologies, including unit, SIL, HIL, and VIL, for automotive applications.
- Familiarity with CI/CD pipelines in an automotive or embedded software context.
- Understanding of ADAS sensor types, including cameras, lidar, radar, and ultrasonic sensors, and their data characteristics.
- Experience with data management pipelines such as ingestion, curation, labeling, or scenario extraction.
- Degree in computer science, electrical engineering, robotics, or a related field.
- Intermediate programming experience in Python and/or C++.
- Strong written and verbal communication skills in English.
- German and/or an additional European language is a significant plus.
Nice-to-haves
- Customer-facing experience and strong presentation skills.
- Experience with simulation platforms such as Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, or VIRES VTD.
- Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation.
- Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE.
- Experience with ML/AI pipelines for model training or perception-system evaluation.
- Background in fleet data operations, OTA, or post-SOP data-driven improvement loops.
Compensation and Benefits
- Eligible compensation includes base salary, equity, and benefits.
- Benefits may include comprehensive health, dental, vision, life and disability insurance, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off.
- Benefits vary by jurisdiction and may change.
Skills
Python, C++, CI/CD, Adas, Autonomous Driving, Sil, Hil, Vil, Camera Sensors, Lidar, Radar, Data Management, Scenario Extraction, Carla
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