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Ann Arbor, Michigan, United States
Onsite
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
Write and review C++ code to implement and integrate control algorithms and related functionality across development and production environments
Work with Control Engineers to design and validate high quality software components in compute-constrained contexts
Design, implement, and validate failsafe software architectures
Mentor other AD engineers on software quality and maintainability
Lead by example by leveraging automation and effective lightweight processes
Document and communicate information, plans, and decisions across function and levels
Bachelors or Masters in Computer Science, Robotics, Electrical Engineering, Control Systems, or a related field
5+ years of experience in modern c++ development and support tools for ensuring software quality
3+ years of experience in vehicle control, automated driving, or robotics. Working in an academic lab counts for this.
Working proficiency in English (verbal and written)
Familiarity with Bazel-based build systems, GitHub CI/CD, and LLVM/GCC toolchain configuration.
Knowledge of embedded software, tooling, and testing strategies for automotive
Delivered FuSa compliant software or has working knowledge of ISO 26262 and AUTOSAR
Experience with motion control such as PID, LQR, MPC, learning-based control, and vehicle dynamics.
