CS GROUP is hiring an Autonomous Driving Systems Simulation and Data Analysis Engineer

Responsibilities

• Validate and iteratively improve system performance criteria, safety limits, and key performance indicators using extensive simulation and real-world data analysis.
• Use simulation, data analysis, and software development to assess and enhance technical, behavioral, and safety-related system requirements.
• Quantify safety-related parameters such as latency allowances, safety mechanism triggers, and checker maturity settings.
• Build and sustain simulation and analytical tools to support validation workflows.
• Enable large-scale safety validation processes that scale with system complexity.
• Create and maintain simulation software in C/C++ and Python for validating autonomous driving functions at scale.
• Design and implement integrations between internal validation tools, simulation platforms, and data processing systems.
• Enhance simulation scenarios by introducing perception noise, latency, and fault conditions to evaluate system resilience.
• Support container-based development and deployment using Docker and Linux environments.
• Use simulation outcomes to inform and refine subsystem-level performance criteria and safety thresholds.
• Assess how safety mechanisms perform under degraded operational conditions.
• Develop and maintain data processing, visualization, and evaluation pipelines in Python and C/C++ for large-scale datasets from real and simulated driving.
• Analyze edge cases where unsafe behaviors occur even when performance metrics are satisfied, and recommend improvements based on data.
• Identify necessary characterization data and measure system performance relative to KPIs, SPIs, safety objectives, and behavioral standards.