Sr Simulation Engineer - AD/ADAS
Key Skills for This Role
Full Job Posting
RESPONSIBILITIES
- Architect and extend our next generation core simulation technologies (e.g. world engine, interfaces, scheduler, agent frameworks).
- Drive the integration of core simulation technologies into solutions or workflows, ensuring end user requirements are met.
- Analyze simulation results to identify gaps between simulated and real-world performance. Prioritize improvements in the core simulation and integration software.
- 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.
- Additional information
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.
WHAT WE OFFER
- We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding 401k program・Flexible vacation policy・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field highly preferred.
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