Senior Simulation Software Engineer - AD/ADAS

Team: AD/ADAS

Location: Palo Alto, CA, Ann Arbor, MI

Commitment: Employee

Workplace Type: hybrid

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 Senior 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 integrate 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 championing best practices, collaborating with cross-functional teams, and mentoring developers, you will play a key role in building our critical AD/ADAS simulator tools.

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.