Senior/Staff Simulation Engineer, Automated Driving & ADAS

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
TEAMThe Automated Driving & ADAS organization focuses on developing a scalable, data-driven approach to autonomous and assisted driving software. We collaborate with partners across Toyota, offering numerous opportunities to integrate cutting-edge technology into consumer vehicles globally. To continuously improve and thoroughly test our driving systems, we build powerful developer workflows that leverage real-world data and state of the art in-house and third party simulation technologies. The simulation technologies we develop and integrate form the foundation of our virtual verification and validation efforts, enabling autonomy and ADAS stack development, regression testing, and model training.
WHO ARE WE LOOKING FOR?The Simulation Core team is seeking an experienced Staff Simulation Engineer with a strong background in developing engines, frameworks and client APIs in Rust or C++, as well as Python. They will design and develop simulation software with portability, modularity, and reusability in mind in order to meet the diverse needs of vehicular technology development and testing across Toyota programs. By driving the team roadmap, guiding the team on technical decisions, and owning simulation workflows, you will play a key role in building our critical AD/ADAS simulator tools.

RESPONSIBILITIES

• Partner with engineering and product leadership to align the simulation tooling roadmap with program milestones.
• Architect next generation core simulation technologies (e.g. world engine, runtime, scheduler, scenario manager, interfaces, agent frameworks, plugin frameworks).
• Own implementation, testing, deployment, and ongoing support of simulation pipelines and workflows.
• Drive the integration of core simulation technologies into solutions or workflows, ensuring end user requirements are met.
• Collaborate cross-functionally with ADAS autonomy, integration, and release teams as we reduce reliance on expensive maps and sensor systems.
• Identify and prioritize high-impact work that will reduce our issue resolution cycle time.
• Provide technical guidance and mentorship to the team, fostering a collaborative and innovative engineering culture.
• Demonstrate excellent design practices; generate technical documentation; lead technical presentations; aligning with stakeholders before, during, and after implementation is essential.

MINIMUM QUALIFICATIONS

• Master's degree or higher degree in Computer Science, Engineering, or a related field highly preferred.
• 10+ years of relevant work experience.
• Proven track record of architecting, delivering, and maintaining well-designed, impactful solutions given 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 perspective.
• An infectious self-driven passion for solving complex problems while learning new techniques and technologies!

NICE TO HAVES

• Experience with designing and 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 with vehicle dynamics modeling.
• Experience in the automotive and/or self-driving autonomy domain.

Senior Simulation Engineer, Automated Driving & ADAS: For positions based in Palo Alto, CA, the base pay for this position ranges from $140,000- $230,000 a year
Staff Simulation Engineer, Automated Driving & ADAS: For positions based in Palo Alto, CA, the base pay for this position ranges from $161,000- $264,500 a year
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