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14 часов назад

Robotics Engineer II (Autonomous Vehicles)

130 000 - 155 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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