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2 месяца назад

Platform Engineer (Robotics)

113 000 - 172 000$
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
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

Platform Engineer (DevOps/Robotics): Architecting and operating scalable compute infrastructure for autonomous vehicle simulation and testing with an accent on hybrid cloud solutions and Kubernetes orchestration. Focus on designing elastic compute systems, implementing high-performance networking, and optimizing GPU clusters for ML training.

Location: United States (Employment eligibility verification required)

Salary: $113,000 - $172,000 USD

Company

hirify.global is developing cutting-edge autonomous unmanned aircraft systems (UAS) for defense and aerospace.

What you will do

  • Design and implement auto-scaling compute infrastructure using AWS and on-premises GPU/CPU clusters.
  • Orchestrate thousands of concurrent simulations using Kubernetes and job scheduling systems.
  • Build CI/CD pipelines for automated simulation testing and distributed parameter sweeps.
  • Develop infrastructure as code (IaC) and GitOps workflows for reproducible deployments.
  • Implement secure network architectures, VPCs, and hybrid cloud connectivity (VPN, Direct Connect).
  • Monitor and optimize system performance, reliability, and cost efficiency.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or equivalent industry experience.
  • 2-5+ years of experience in platform engineering, DevOps, or SRE roles.
  • Strong proficiency with Kubernetes and cloud computing platforms.
  • Deep knowledge of Linux system administration and networking fundamentals (TCP/IP, DNS, VPN).
  • Experience with scripting (Python, Bash) and building CI/CD pipelines.
  • Must be eligible to work in the United States (E-Verify).

Nice to have

  • Experience with robotics middleware (ROS/ROS2) or simulation platforms.
  • Knowledge of GPU computing and accelerated workload management.
  • Background in MLOps or machine learning infrastructure.
  • Experience with aerospace/defense security compliance.

Culture & Benefits

  • Comprehensive medical, dental, and vision insurance.
  • 401k with company match.
  • 4 weeks of paid time off and 12 annual company holidays.
  • Opportunity to work on next-generation autonomous flight systems in a collaborative environment.

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