aipythongokubernetesc++machine learningpytorchjaxhuggingfacedistributed training
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$175к-250к/год
$200к$230кмедиана$270к
По похожим ролям (50) ~ $230к/год
На СНГ рынке: $4.4к/мес ($3.6к - $6к)
83
Хорошая вакансия
развернуть
Вакансия предлагает серьёзную работу над ИИ для автономного вождения, но широкий охват данных, обучения, alignment, инференса и оценки может означать высокую нагрузку и множество разных задач.
Кликните для подробной информации
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI/ML Engineer (Autonomous Driving): Developing driving and physical AI foundation models, including the Aria VLA model, with an accent on large-scale data curation, distributed training, model alignment, and inference optimization. Focus on building safety evaluation and guardrail pipelines, optimizing models for cloud and edge hardware, and supporting autonomous driving software.
Location: Sunnyvale, United States
Salary: $175,000–$250,000 per year
Company
hirify.global is a mobility AI company and the Global Software Center of Hyundai Motor Group, developing software-defined vehicle technologies and autonomous transportation systems.
What you will do
Develop driving and physical AI foundation models and support Aria VLA model development.
Design and manage multi-terabyte datasets through scraping, filtering, deduplication, tokenization, and synthetic data generation.
Scale distributed model training across GPU and TPU clusters using parallel processing, custom data loaders, and framework optimization.
Implement instruction tuning, RLHF, and direct preference optimization for safety and behavior alignment.
Optimize models through quantization, pruning, and speculative decoding for low-latency cloud and edge inference on smartphones and robotics hardware.
Build benchmarking harnesses, hallucination checkers, and red-teaming pipelines for model accuracy and safety evaluation.
Requirements
Programming experience with Python, C++, and Golang for high-throughput systems.
Experience with PyTorch, JAX, the Hugging Face ecosystem, and vLLM.
Experience with Kubernetes, Docker, multi-node distributed training, Megatron-LM, DeepSpeed, and cloud platforms including AWS, Azure, and Google Cloud.
Knowledge of linear algebra, calculus, probability, statistics, and deep learning architectures including Transformers and diffusion models.
Culture & Benefits
Work on safety-first, user-centric software-defined vehicle technologies.
Inclusive equal-opportunity workplace with consideration for veterans and individuals with disabilities.
Hiring process
Application review, coding test, first interview, second interview, offer negotiation, and hiring.
Screening steps and scheduling may vary by position and circumstances.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →