Simulation Software Engineer, Automated Driving & ADAS
- Partner with ADAS autonomy, integration, and release teams to improve validation of ADAS software.
- Support the integration of core simulation technologies into solutions or workflows.
- Work closely with cloud and simulation data analytics engineers to implement the interfaces, configuration, and logging needed to further scale up simulations.
- Develop our next generation core simulation technologies (e.g. world engine, runtime, scheduler, interfaces, agent frameworks, plugin frameworks).
- Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.
- Be on the lookout for opportunities to improve user workflows with the tooling you build.
- Bachelor's in Computer Science, Engineering, or a related field highly preferred.
- 3+ years of relevant work experience.
- Proven track record of crafting well-designed, impactful solutions within allotted time and resource constraints.
- Strong programming skills in Rust or C++.
- Strong programming skills in Python.
- Ability to think, design, and code for both the user’s and the simulator developer’s perspective.
- An infectious self-driven passion for solving complex problems while learning new techniques and technologies!
- Experience in the automotive and/or self-driving autonomy domain.
- Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
- Experience with building real-time systems (a requirement of simulations for driver assistance and hardware in the loop scenarios).
- Knowledge of one or more cloud compute platforms, such as AWS.
- Experience with container technologies like Docker and container management systems like Kubernetes.
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