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9 дней назад

Robotics Platform Architect (Robotics)

128 470 - 208 770$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Robotics Platform Architect (Robotics): Designing and delivering shared robotics platform capabilities for autonomous construction machines with an accent on middleware, runtime services, inter-process communication, and onboard and edge execution. Focus on translating architecture into APIs, interfaces, deployment patterns, and reference implementations while solving distributed, real-time, integration, and validation challenges.

Location: Irving, Texas (Dallas), United States; full-time onsite work at the office five days a week. Domestic relocation assistance is available. Visa sponsorship is not available.

Salary: $128,470.00–$208,770.00 per year.

Company

hirify.global develops connected machines, software, autonomy, AI, and physical systems for safer, more productive, and more sustainable jobsites.

What you will do

  • Own assigned robotics platform capabilities from architectural vision through technical design, implementation, integration, validation, and deployment.
  • Design platform components, APIs, interfaces, message and data flows, deployment patterns, acceptance criteria, and reference implementations.
  • Develop shared middleware, runtime services, inter-process communication, developer frameworks, and reusable software components.
  • Design onboard and edge execution solutions involving containers, accelerated compute, resource management, observability, lifecycle management, and real-time execution.
  • Partner with engineering teams to resolve design issues, evaluate trade-offs, and ensure adherence to architecture, interface contracts, and quality expectations.
  • Support simulation, software-in-the-loop, hardware-in-the-loop, prototype-machine, and production-oriented validation environments.

Requirements

  • Knowledge of platform architecture principles and experience designing reusable platform capabilities, interfaces, services, and deployment patterns within an established architecture.
  • Knowledge of software and solution architecture methods, including converting functional and nonfunctional requirements into component designs, interfaces, APIs, and technology choices.
  • Ability to analyze complex technical problems, evaluate alternatives, and make decisions based on performance, reliability, scalability, safety, cost, and delivery considerations.
  • Ability to translate product, machine, engineering, and operational needs into platform requirements, technical designs, and measurable acceptance criteria.
  • Systems-thinking skills across complex cyber-physical systems, including dependencies, ownership boundaries, and cross-system trade-offs.
  • Experience with robotics platforms or middleware using ROS 2, DDS, messaging, runtime services, component lifecycle management, or comparable distributed robotics frameworks.
  • Experience designing APIs, component boundaries, interfaces, data flows, deployment patterns, and reusable software architectures.
  • Understanding of latency, concurrency, reliability, quality of service, fault handling, observability, resource utilization, and distributed or real-time communication.
  • Experience with Linux-based edge computing, containers, GPU or accelerated computing, resource management, and embedded or robotic deployments; experience with C++ and/or Python, CI/CD, automated testing, source control, and Agile delivery.
  • Progressive experience in software engineering, solution architecture, or platform architecture, preferably in robotics, autonomous systems, embedded systems, or other cyber-physical products.
  • Ability to communicate complex technical concepts, provide implementation guidance, resolve cross-team issues, and influence delivery without direct authority.

Nice to have

  • Experience with robotics, autonomous vehicles, industrial automation, heavy equipment, Physical AI, or another cyber-physical domain.
  • Experience integrating perception, planning, controls, machine interfaces, AI and machine learning capabilities, and platform services in autonomous or robotic systems.

Culture & Benefits

  • Full-time employment with onsite work five days per week.
  • Medical, dental, and vision benefits, paid time off, parental and adoption benefits, disability benefits, and life insurance.
  • 401(k) savings plans, HSA, FSAs, voluntary benefits, employee discounts, and incentive bonus opportunities.
  • Career development and tuition reimbursement programs.
  • Employment offers are conditional on successfully completing a drug screen.

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