14 часов назад
Robotics Engineer II (Autonomous Vehicles)
130 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Engineer II (Autonomous Vehicles): Training, integrating, testing, and optimizing machine learning models and autonomy software for on-vehicle autonomous vehicles with an accent on reliability, latency, and real-world validation. Focus on diagnosing field issues, designing data collection strategies, and building tools to analyze behavior and control subsystems.
Location: Ann Arbor, Michigan — onsite
Salary: $130,000–$155,000 USD per year
Company
develops and deploys autonomous vehicles using Multi-Policy Decision Making technology to improve urban transportation safety, accessibility, and sustainability.
What you will do
- Train, integrate, and test machine learning models for on-vehicle autonomy software.
- Optimize and monitor vehicle software for reliability and low latency.
- Coordinate and execute real-world vehicle tests to validate autonomous driving performance.
- Diagnose and root-cause issues reported through commercial operations and field response processes.
- Design data collection strategies to address machine learning model deficiencies.
- Build tools and visualizations for analyzing behavior and control subsystems using field data.
Requirements
- 2+ years of commercial robotics software experience for physical systems.
- Bachelor’s degree in robotics, computer science, computer engineering, physics, aerospace engineering, or a related mathematically or technically rigorous field.
- Basic understanding of machine learning concepts, including training, architectures, and data selection.
- Functional understanding of lidar, camera, and/or radar perception systems and hardware interfaces.
- Strong programming skills in C, C++, and Python in a Linux environment.
- Understanding of memory management, threading, databases, networking, Git, Valgrind, and GDB.
Nice to have
- Familiarity with perception, planning, and foundation model concepts in autonomous driving.
- Experience deploying machine learning models to resource-constrained hardware, including CUDA and GPU processing.
- Experience with hard example mining, active learning, dataset composition, and autonomous vehicle model evaluation.
- Experience building training and evaluation pipelines for datasets larger than 100 TB or models larger than 100 GB.
Culture & Benefits
- Medical, dental, vision, life, and disability insurance plans.
- Health Savings and Flexible Spending Accounts, including dependent care options.
- Retirement benefits with an immediately vested employer safe harbor match.
- Paid parental leave with a phased return-to-work program.
- Flexible vacation policy, paid company holidays, and a total wellness program.
- Minimal travel required, approximately 1%–10%.
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