Staff Simulation and SW Integration Engineer

We are looking for a highly skilled Staff Simulation & Software Integration Engineer to drive the development and scaling of our next-generation autonomous driving simulation platform. In this role, you will design and integrate complex simulation pipelines, interface with core ADAS/AD software stacks, and ensure robust system-level validation across SIL (Software-in-the-Loop), HIL (Hardware-in-the-Loop), and cloud environment. You will serve as a key technical leader—bridging simulation, autonomy software, and infrastructure while enabling rapid scenario creation, scalable execution, and automated validation of advanced driver-assistance and autonomous driving features.

Key Responsibilities

• Simulation Platform Development
  • Design, develop, and scale a state-of-the-art simulation system for ADAS/AD validation, supporting massive scenario generation, execution, and automated evaluation.
  • Develop validation workflows for different parts of the simulation system.
  • Implement scenario authoring tools, simulation APIs, and pipelines that integrate seamlessly with autonomy software.
  • Develop distributed, cloud-native simulation workflows using Docker, Kubernetes, and CI/CD pipelines.
  • Manage simulation data pipelines for large-scale scenario generation, execution, and results aggregation.
• Integration, Verification & Validation
  • Interface and integrate the simulation system with AD software stack.
  • Build robust adapters and middleware connections across diverse environments.
  • Triage and debug integration issues spanning simulation, autonomy stack, and infrastructure layers.
  • Ensure simulation stability and robustness on all the platforms.
  • Define and implement KPIs, metrics, and validation frameworks for automated evaluation of ADAS/AD features.
• Architecture & Collaboration
  • Partner with autonomy engineers, systems engineers, and infrastructure teams to gather requirements, define architectures, and influence system design.
  • Mentor junior engineers and set best practices for simulation software integration and infrastructure scaling.

Qualifications (Must-Have)

• Strong software engineering background with expertise in modern C++ and Python.
• Experience with containerization and orchestration (Docker, Kubernetes) for scaling simulation workloads.
• Proven experience building and integrating simulation systems for ADAS/AD or related domains.
• Familiarity with scenario description standards (OpenDRIVE, OpenSCENARIO) and data interchange formats (JSON, YAML).
• Deep understanding of simulation subsystems and core engine components.
• Hands-on experience with middleware and communication frameworks (ROS, DDS, or similar).
• Strong debugging, integration, and triage skills across complex distributed systems.
• Familiarity with automotive simulators like CARLA and CarMaker.

Good to have:

• Knowledge of automotive ECU network architectures, ARXMLs and restbus simulaton on HIL systems (dSPACE, NI).
• Understanding of Vehicle dynamics and subsystems in vehciles.
• Exposure to cloud infrastructures (AWS, GCP, Azure) for distributed simulation execution.
• Experience with data-intensive workflows for large-scale simulation data processing.
• Understanding of real-time systems, multithreading, and optimization for simulation performance.
• Background in sensor simulation/validation (camera, radar, lidar).
• Interest in applying emerging generative AI methods to enhance in-house simulation capabilities.

Education & Experience

• Bachelor’s or Master’s degree in  Mechanical Engineering, Computer Science, Robotics, or related field.
• 5+ years of experience in simulation, software integration, or autonomous systems development (5+ years for exceptional candidates with advanced degrees).