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2 часа назад

Human Interactive Driving Intern, Platform Research Systems Integration (AI/Automotive)

45 - 65$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Human Interactive Driving Intern, Platform Research Systems Integration (AI/Automotive): Designing and integrating AI monitoring systems for custom vehicle platforms, with an accent on multimodal vehicle data, edge AI deployment, and hardware-software integration. Focus on deploying models on in-vehicle edge computers, integrating audio, video, and CAN data, and solving cross-functional system integration challenges.

Location: Los Altos, California, United States; hybrid, in-office role

Salary: $45–$65/hour for California-based roles

Company

hirify.global develops research platforms and technologies across AI, robotics, driving, and material sciences to improve human mobility and driving experiences.

What you will do

  • Design and integrate an AI monitoring system for custom vehicle platforms.
  • Explore integrating audio and video data with CAN data for vehicle monitoring.
  • Deploy and run monitoring and AI models on in-vehicle edge computers.
  • Assist with hardware-software system integration and collaborate with multidisciplinary teams.
  • Document integration processes, procedures, and outcomes while improving integration methodologies.
  • Communicate across teams and contribute to engineering projects from concept through execution.

Requirements

  • Currently pursuing a Master’s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, or a related field.
  • Strong interest in integrating mechanical, electrical, and software systems.
  • Proficiency in Python, including NumPy, pandas, and writing tested code.
  • Experience with embedded Linux and edge AI hardware, ideally NVIDIA Jetson with JetPack, CUDA, TensorRT or ONNX Runtime, and Docker on ARM64.
  • Familiarity with C++, MATLAB/SIMULINK, and Ethernet/CAN networks.
  • Self-motivation, continuous-learning mindset, adaptability, and strong problem-solving and troubleshooting aptitude.
  • Good communication skills and ability to work effectively within cross-functional teams.

Nice to have

  • CAD experience.
  • Coursework or project experience in machine learning and/or LLMs, including prompting, tool or function calling, and evaluation.
  • Experience optimizing models for edge inference, including quantization, TensorRT, or DeepStream.
  • Knowledge of ROS or other relevant programming skills.
  • Familiarity with safety-critical system design processes such as FMEA and FTA.

Culture & Benefits

  • Paid 12-week summer internship with hands-on work on advanced research platforms.
  • Hybrid, in-office collaboration with multidisciplinary and cross-functional teams.
  • Mentorship, networking, and professional development resources.
  • Medical, dental, and vision insurance, plus paid time off including holiday pay and sick time.

Hiring process

  • Apply for the paid 12-week Summer 2027 internship opportunity; additional benefit details are provided if an employment offer is made.

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