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Senior Software Engineer, Cloud, Simulation (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Software Engineer, Cloud, Simulation (AI): Evolving a high-fidelity simulation platform for autonomous driving with an accent on scalable cloud infrastructure, workflow orchestration, and machine-learned graphics. Focus on integrating simulated robotics and graphics components, optimizing simulator cost and throughput, and building production-quality Python software for large-scale simulation workloads.

Location: London, United Kingdom; hybrid role based in the London office

Company

hirify.global develops embodied AI software and foundation models for intelligent, mapless, and hardware-agnostic automated driving systems.

What you will do

  • Evolve a core component of the simulation platform used to develop and evaluate driving intelligence.
  • Shape and implement the technical roadmap for robot emulator fidelity, visual fidelity, or efficient scaling.
  • Own simulator KPIs covering cost, service-level objectives, throughput, and latency.
  • Integrate simulated robot components and machine-learned graphics subsystems into the platform.
  • Align technical dependencies across robotics, research, platform, data, and simulation teams.
  • Lead technical discussions and implement production-quality software in Python.

Requirements

  • 5+ years of industry experience designing and programming software.
  • Experience with workflow orchestration systems such as Airflow, Dagster, or Flyte, and/or data-intensive applications.
  • Excellent Python development skills.
  • Deep user-level knowledge of Kubernetes.
  • Strong systems and data-oriented software engineering design skills, including reusable and extensible code.
  • Understanding of software performance issues, design trade-offs, communication, and cross-functional collaboration.

Nice to have

  • Experience in autonomous vehicles or robotics.
  • Proficiency in Go or C++.
  • Experience scaling simulations or data-intensive workloads.
  • Experience optimizing large-scale machine learning inference systems in cloud GPU environments.
  • Experience operating and scaling machine-learned graphics techniques such as NeRF, Gaussian Splatting, or GenAI.

Culture & Benefits

  • Hybrid work combining time in offices and workshops with working from home.
  • Core working hours with flexibility to determine a suitable schedule.
  • Inclusive and respectful work environment that values diverse perspectives.
  • Collaboration across robotics, research, platform, data, and simulation teams.

Hiring process

  • Interview accommodations and adjustments are available upon request.

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