Senior Simulation Software Engineer - AD/ADAS
✨ AI Summary
Woven by Toyota, a mobility technology company, is hiring a Senior Simulation Software Engineer for its AD/ADAS team in Palo Alto, CA. The role involves architecting core simulation engines and frameworks using Rust or C++ and Python, requiring 5+ years of experience and a strong background in simulation or real-time systems. Salary ranges from $140,000 to $230,000, with benefits including health coverage, 401k, and flexible vacation.
TEAM
WHO ARE WE LOOKING FOR?
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.
About the Company
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