Назад
Company hidden
9 дней назад

AI Autonomy Engineer (Aerospace)

160 000 - 235 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Autonomy Engineer (Aerospace): Building and deploying vision-language and VLA models that enable aircraft to perceive, reason, and navigate in the real world with an accent on multimodal model development, simulation and flight-test validation, and edge deployment. Focus on designing benchmarks, fine-tuning foundation models, integrating model-serving systems, and meeting real-time latency and power constraints on aircraft hardware.

Location: San Jose, California, United States

Salary: $160,000–$235,000 base pay annually

Company

hirify.global develops advanced air mobility technologies, including air taxis, unmanned aircraft systems, and physical AI solutions for commercial aerospace and defense.

What you will do

  • Develop and integrate vision-language, VLA, perception, and language model systems.
  • Design benchmarks, evaluate success and failure modes, and compare results with internal baselines and published research.
  • Fine-tune and adapt foundation models for new domains while assessing technical trade-offs.
  • Validate models through data-driven testing in simulation, on hardware, and during flight tests.
  • Deploy and monitor models on edge hardware under real latency and power constraints.
  • Partner with Safety and Simulation Engineers to evaluate model outputs.

Requirements

  • 8+ years of relevant experience; hiring is currently focused on Senior and Staff-level positions.
  • Master’s degree, PhD, or equivalent experience in Computer Science, Robotics, or a related field; exceptional bachelor’s candidates may be considered.
  • Hands-on experience building, fine-tuning, or integrating vision-language or VLA models.
  • Strong understanding of transformer architectures, multimodal foundation models, and practical fine-tuning of pretrained checkpoints.
  • Strong PyTorch or comparable framework skills, with the ability to own model-serving integration end to end.
  • Experience building an initial 0→1 product or system and working effectively with ambiguity.

Nice to have

  • VLN or embodied-agent navigation experience in aerial, ground, or indoor robotics.
  • Experience with reinforcement learning, imitation learning, or self-supervised training for navigation or control.
  • Edge deployment experience with NVIDIA Jetson-class hardware or comparable platforms.
  • Experience creating evaluation tooling or benchmarks for data-driven decisions.
  • Experience with safety-critical or regulated engineering processes in aerospace, automotive, or medical devices.

Culture & Benefits

  • Join an approximately 100-person AI Products software organization within an aerospace company.
  • Work on early-stage products with the resources and momentum of an established organization.
  • Performance-based compensation tied to business impact.
  • Equal opportunity workplace committed to diversity, inclusion, and reasonable accommodations.

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 →