Senior Simulation Engineer - Machine Learning
Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Senior Simulation Engineer - Machine Learning
Palo Alto, CA / Ann Arbor, MI
Product & Technology – AD/ADAS /
Employee /
Hybrid
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.
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.
Responsibilities
- Lead 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.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field 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, inference optimization.
- Strong programming skills in Python, Rust or C++.
- Proven track record 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 Have
- 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 of 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.
We Offer
- Base salary range: $140,000 - $230,000 a year.
- Comprehensive benefits package including excellent health, wellness, dental and vision coverage.
- A rewarding 401k program.
- Flexible vacation policy.
- Family planning and care benefits.
About the Company
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.
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.