Senior Simulation Engineer - Machine Learning

🚗 About Woven by Toyota 🚗

Woven by Toyota is at the forefront of Toyota's transformation into a mobility company. Inspired by a legacy of innovation for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation. We aim to expand the definition of "mobility" and how it serves society.

Our work is structured around four key pillars:

• AD/ADAS: Autonomous driving and advanced driver-assist technologies.
• Arene: Our software development platform for software-defined vehicles.
• Woven City: A dedicated test course for mobility innovations.
• Cloud & AI: The digital infrastructure powering our collaborative foundation.

Business-critical functions empower these teams to execute their vision. Together, we are working towards a bold goal: a world with zero accidents and enhanced well-being for all.

🌟 TEAM: Automated Driving & ADAS 🌟

The Automated Driving & ADAS organization is dedicated to 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. These workflows 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 Senior Simulation Engineer. This role will lead the adoption and integration of advanced machine learning technologies, including world foundation models, into large-scale simulation workflows.

This position sits at the intersection of simulation and machine learning, enabling us to complement traditional simulation paradigms with workflows that facilitate large-scale training and testing of machine learning-based autonomy stacks. By steering technical direction, collaborating with cross-functional teams, and mentoring developers, you will play a key role in evolving our critical AD/ADAS simulator tools.

📝 RESPONSIBILITIES 📝

• Lead the adoption and integration of machine learning techniques in simulation subsystems and workflows (e.g., scenario creation, reactive agents, and sensor/vehicle/intersection/world modeling).
• Architect and extend our next-generation core simulation technologies (e.g., agent frameworks, scenario engine, sensor simulation).
• Partner with ADAS teams to improve the development and evaluation of ADAS software.
• Help set the team roadmap to support the growing landscape of ADAS customers and use cases.
• Demonstrate good design practices; alignment with stakeholders before, during, and after implementation is essential.

✅ MINIMUM QUALIFICATIONS ✅

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field is highly preferred.
• 5+ years of relevant work experience.
• Experience with machine learning frameworks such as PyTorch, Jax, or Tensorflow (PyTorch preferred).
• Experience in machine learning workflows, such as data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
• Strong programming skills in Python, Rust, or C++.
• Proven track record of crafting well-designed, impactful solutions within allotted time and resource constraints.
• 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 ✨

• Familiarity with recent breakthroughs in machine learning (e.g., foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures).
• Experience with building real-time systems (a requirement for simulations for driver assistance and hardware-in-the-loop scenarios).
• Experience with build systems, continuous integration, and/or continuous deployment (CI/CD).
• Experience in the automotive and/or self-driving autonomy domain.

💰 Compensation & Benefits 💰

For positions based in Palo Alto, CA, the base pay ranges from $140,000 -$230,000 per 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 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 excellent 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.