Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная практическая роль в заметном стартапе на стыке ИИ и робототехники даёт серьёзную ответственность, но выезды к клиентам и ранняя стадия компании подойдут не всем.
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?Широкая ответственность
Перспективная сфера
Влияние на процессы
Есть доля в компании
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Engineer (AI/Robotics): Delivering customer deployments for embodied AI and robotic systems, from workflow discovery and software integration to robot debugging and ongoing improvement, with an accent on reliability, customer systems, and real-world operation. Focus on designing evaluation workflows, isolating failures across software and robot behavior, and turning deployment experience into reusable tooling and playbooks.
Location: San Francisco Bay Area (San Mateo), United States; onsite
Salary: $150K–$200K annually plus equity
Company
hirify.global builds embodied foundation models for dexterity and AI systems that enable robots to work in the physical world.
What you will do
Own technical delivery of customer deployments from requirements and success criteria through integration, rollout, onboarding, field debugging, and improvement.
Design and build reliable, maintainable integrations connecting hirify.global systems with customer APIs, applications, and workflows.
Design robot tasks and evaluation workflows, analyze rollout data, and refine tasks when real-world performance falls short.
Debug software, integrations, robot behavior, and operating environments using logs, observations, experiments, and verified fixes.
Work directly with customers to understand constraints, explain tradeoffs, communicate progress, and retain ownership of outcomes.
Convert deployment experience into reusable tooling, documentation, diagnostics, playbooks, and system improvements.
Requirements
Production software development experience with the ability to take ambiguous requirements through a tested, working solution.
Strong software engineering fundamentals and experience designing integrations across APIs, services, or complex systems.
Ability to explain design choices and reason through failure modes.
Methodical debugging skills: define expected behavior, gather evidence, test hypotheses, and verify underlying fixes.
Ability to work directly with customers, translate needs into engineering work, and communicate complex issues clearly.
Ability to learn unfamiliar technical domains quickly and curiosity about machine learning, robotics, and reliable real-world operation.
Ownership in an early-stage environment, including creating structure and balancing immediate customer needs with future deployment improvements.
Willingness to work hands-on with robots and customer teams, including time at customer sites.
Nice to have
Experience in robotics, machine learning, or deploying complex software in customer environments.
Strong software engineering background with eagerness to learn robotics.
Culture & Benefits
Hands-on, cross-functional work with research, engineering, operations, partnerships, customers, and robot hardware.
Early-stage opportunity to establish the Forward Deployed Engineering function and its technical practices.
Work focused on embodied AI, robotics, and deploying systems in real-world environments.
Equity is offered with the salary.
Equal opportunity employment with no discrimination based on legally protected characteristics.
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