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11 дней назад

System Architect - Senior Systems Engineer (AI Robotics)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
System Architect - Senior Systems Engineer (AI Robotics): Designing and realizing architectural updates across an AI robotics navigation product range, from system-level architecture to individual components, with an accent on reusable hardware and software systems, product ecosystem integration, and supply chain resilience. Focus on aligning product, hardware, and software architecture with roadmap requirements, external communication interfaces, development frameworks, and high-reliability manufacturing constraints.

Location: Sydney, Australia

Company

hirify.global develops AI robotics and navigation technologies for land, air, sea, and space applications, including GNSS, sonar, inertial sensors, robotics, quantum sensors, and photonics.

What you will do

  • Design and realize architectural updates across the existing product range and expand the product ecosystem within a consistent framework.
  • Own architectural design from high-level system architecture through component-level design.
  • Align product ecosystem decisions with the product roadmap and define how products work independently, together, and with compatible third-party systems.
  • Develop reusable hardware and software architectures that support portability across applications and scale with product growth.
  • Balance cost of goods, supply chain constraints, resilience, quality, and industry best practices in hardware designs.
  • Ensure software development and external communication interfaces meet product requirements and agreed frameworks such as NIST and AUSDEFCON.

Requirements

  • Bachelor’s degree in Electronic, Mechanical, or Computer Systems Engineering.
  • 10+ years of experience as a design engineer working across multidisciplinary design teams.
  • Expertise in at least one engineering discipline and competency in others.
  • Experience in deep tech, robotics, SaaS-hardware hybrid, or high-reliability manufacturing environments is preferred.
  • Strong interpersonal and communication skills, including explaining complex statistical models to non-technical stakeholders.
  • Curiosity, attention to detail, decisive problem-solving, and a bias for action.

Culture & Benefits

  • Research- and discovery-driven environment focused on advancing autonomous systems.
  • Progress-over-perfection mindset with rapid design iterations and early technical feedback.
  • Focus on consistency, efficiency, rapid delivery, and product quality.

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