Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стажировка в известном исследовательском центре AI и робототехники даёт практический опыт работы с встраиваемым AI и автомобильными системами, а также наставничество.
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Современные технологииПередовые исследованияПрофессиональное развитие
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Текст:
Hirify AI/Оригинал
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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