RESPONSIBILITIES
- Enable multi-customer simulation tooling; Integrate customer team software and workflows with next generation simulation technologies.
- Extend our next generation core simulation technologies (e.g. interfaces, scheduler, world engine, agent frameworks).
- Work closely with cloud and simulation data analytics engineers to implement the APIs, configuration, and logging needed to further scale up simulations.
- Partner with ADAS autonomy, integration, and release teams to improve validation of ADAS software.
- Help set the team roadmap to support the growing landscape of ADAS customers and data sources.
- Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.
- Propose and advocate for modern technologies and methodologies that can drive innovation and performance.
MINIMUM QUALIFICATIONS
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.
- 5+ years of relevant work experience.
- Proven track record 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 simulator developer’s perspectives.
- An infectious self-driven passion for solving complex problems while learning new techniques and technologies!
NICE TO HAVES
- 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.
- Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
- Experience in the automotive and/or self-driving autonomy domain.
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