Woven Planet

Staff Simulation Engineer, Automated Driving & ADAS

Palo Alto, CA Remote Hybrid
USD 161k - 230k
API Rust C++ Python AWS Docker Kubernetes
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Description
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

TEAM
The 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.
$161,000- $230,000 a year.
Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The California pay scale for this full time position is $161,000- $230,000. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level.

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.
Woven Planet
Woven Planet
Artificial Intelligence (AI) Automotive Autonomous Vehicles Software

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