hirq
← All jobs

Woven By Toyota

Senior Software Engineer, Behavior Actuation

Ann Arbor, MI · Hybrid · Employee · Behavior

Apply well, not just fast

Create a free account and upload your resume to get a match score, keyword gaps, a tailored resume, a cover letter and interview prep for this job.

About the role

C++Machine Learning
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 Behavior Actuation team develops state-of-the-art vehicle control and estimation algorithms from prototype to production in C++. We leverage control theory, optimization, and machine learning to design and implement real-time vehicle control solutions with measurable impact on autonomy performance. In this role, the candidate will work to deliver production quality code following best engineering practices for verification & validation in automotive compute environments and leverage systems-level thinking to negotiate the software design. WHO ARE WE LOOKING FOR? A software engineer with experience delivering code to a product and who is passionate about improving the lives of millions through AD/ADAS. Also: Exercises sound engineering judgement to balance near term productization needs and long term organizational direction Strongly collaborates  within the team and across all of AD Excited to roll up your sleeves to investigate and root-cause systems-level AD issues using simulation and real world data Proactively works to improve existing tools and processes