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10 дней назад

Vehicle Modelling Engineer (Autonomous Driving)

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

Текст:
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TL;DR
Vehicle Modelling Engineer (Autonomous Driving) (Physics-Based and Data-Driven Modelling): Developing virtual vehicle models and simulation components that improve autonomous-driving simulation accuracy, with an accent on vehicle dynamics, model validation, and production-quality software. Focus on correlating models with on-road and experimental data, integrating them into simulation and hardware-in-the-loop pipelines, and defining representative simulation metrics.

Location: London, United Kingdom. Hybrid working model with in-person collaboration in the office, remote work, and hands-on work in vehicle workshops and labs. Relocation support and visa sponsorship are available where applicable.

Company

hirify.global builds an AI platform for autonomous driving that enables vehicles to learn from real-world experience and adapt across complex environments.

What you will do

  • Develop virtual vehicle models using physics-based and data-driven techniques.
  • Validate models against on-road data and implement correlation improvements.
  • Convert models into efficient, production-quality software components that meet accuracy, performance, and scalability requirements.
  • Plan, run, and analyse experimental tests at tracks or with external partners.
  • Integrate vehicle models across simulation, hardware-in-the-loop, and correlation pipelines.
  • Share modelling results with robotics, simulation, and product teams.

Requirements

  • Experience developing mathematical models and simulation algorithms for vehicle dynamics, robotics, or control systems.
  • Strong knowledge of classical mechanics, numerical analysis, and computational methods.
  • Experience validating simulation models against experimental data.
  • Production-quality programming skills in C++ or Python.
  • Experience with vehicle dynamics in autonomous vehicles, automotive, or motorsport.
  • Experience with machine learning or system identification and high-fidelity tools such as Dymola, CarSim, or CarMaker.

Nice to have

  • Interest in specialising in modelling, correlation and metrics, or experimental track work.

Culture & Benefits

  • Hybrid work with core hours and access to vehicle workshops and labs.
  • Market-benchmarked salaries, meaningful equity, and location-dependent benefits.
  • Learning and development budgets for training, conferences, and professional growth.
  • Health and dental insurance, enhanced parental leave, retirement or pension benefits where applicable, therapy access, and wellbeing discounts.
  • Inclusive, fair, and respectful working environment.

Hiring process

  • Initial recruiter screen lasting 30 minutes.
  • Hiring manager and domain competency interviews followed by programming and system design technical interviews.
  • Final mission and values alignment interview.

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