aitransformerspytorchcomputer visionreinforcement learningroboticsmultimodal modelsaerospacevision language modelsedge deployment
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$160к-235к/год
$200к$220кмедиана$270к
По похожим ролям (49) ~ $220к/год
На СНГ рынке: $4.1к/мес ($3.5к - $5.6к)
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Здесь можно заниматься востребованным мультимодальным ИИ в аэрокосмической отрасли, но зарплата ниже ориентира для сопоставимых senior-позиций, что снижает общую привлекательность.
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Ниже ориентираПередовой стекИИ в авиацииПонятная рольРанние продукты
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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