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(Senior) Control Engineer
Исключительная возможность работать в одной из самых инновационных компаний в сфере Mobility с серьезным финансированием. Предложение включает опционы (ESOP), неограниченный отпуск и работу над уникальным продуктом на стыке софта и реального железа.
Сложность вакансии
Роль требует глубоких знаний в теории управления, динамике транспортных средств и опыта работы с MATLAB/Simulink в контексте систем, критичных для безопасности. Высокая сложность обусловлена необходимостью интеграции алгоритмов в реальное оборудование и работы в быстро меняющейся среде стартапа.
Анализ зарплаты
Предлагаемая позиция Senior уровня в Берлине в сфере беспилотного транспорта обычно оплачивается выше среднего по рынку из-за дефицита узких специалистов. Ожидаемый диапазон для опытных инженеров управления в Германии составляет €75,000 - €95,000 в год, не считая бонусов и акций.
Сопроводительное письмо
I am writing to express my strong interest in the (Senior) Control Engineer position at Vay. With a solid background in model-based control design using MATLAB and Simulink, I have spent my career developing robust algorithms for complex systems. Your mission to replace private car ownership with a remote-driving mobility model is truly transformative, and I am eager to contribute my expertise in vehicle dynamics and HIL validation to help scale your fleet.
In my previous roles, I have successfully driven testing campaigns and automated validation workflows to increase development velocity. I am particularly impressed by Vay's achievement in operating driverless vehicles on public roads in both Europe and the USA. I am confident that my pragmatic approach to problem-solving and my experience in safety-critical systems will allow me to make an immediate impact on your motion and vehicle control efforts.
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Присоединяйтесь к Vay, чтобы создавать будущее беспилотного транспорта и внедрять инновации на дорогах Берлина и Лас-Вегаса!
Описание вакансии
Ever imagined saying, “I helped launch the future of transportation”?
We’re rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives - with no one inside - powered by our world-first Remote Driving technology on real public streets.
We’re live in Las Vegas and scaling fast, powered by a strategic investment of up to $410 million from Grab. Our mission is simple: replace private car ownership with a faster, cleaner, door-to-door mobility model. If you want to build something real, visible, and genuinely transformative, you’ll feel right at home here.
What’s happening at Vay
- First to roll out vehicles in both Europe and the USA on public roads without a human being inside & currently the 2nd largest commercial, driverless car fleet in the Western World.
- We've partnered with Kodiak to bring remote-driving technology to autonomous trucks in the US, showcasing our ability to integrate our system into heavy-duty commercial vehicles and expand the applications of our tech across the US.
- We’ve completed 10’s of thousands of trips so far and are busy multiplying our Las Vegas fleet just to meet demand!
- ...And soon we’ll be expanding across the US & Europe 🚀
*Why this role is exciting*
At Vay, cars are remotely operated in real time from Driving Centers in Berlin and Las Vegas. This is a capability only a handful of companies worldwide have achieved on public roads.
As a (Senior) Control Engineer, you will sit at the core of our motion and vehicle control efforts, working closely with embedded software, hardware, systems engineering, and testing teams to improve control performance, robustness, and safety. Your work will have direct, real world impact on the teledriver experience, passenger comfort, and the reliability of our remote driving operations.
While we scale our fleet and capabilities, you will help scale and adapt our control algorithms to different vehicle platforms while maturing our validation infrastructure alongside it. You will step into an experienced, highly technical team working on problems with very few industry precedents, while still having meaningful ownership, influence, and room to grow.
*What you'll be driving*
You will be a hands-on contributor focused on designing, validating, and improving vehicle control functionality, with a strong emphasis on robustness, testability, and real world performance.
- Control algorithms: Design, implement, and verify model based control algorithms for remotely operated vehicles
- Validation infrastructure: Extend and maintain validation environments including simulation, hardware in the loop (HIL), and in vehicle testing
- Testing campaigns: Drive testing and calibration campaigns with organising and supporting track tests onsite for data collection and controller tuning.
- Data and analysis: Support data collection, data management, processing, and analysis to evaluate control performance and identify improvement areas
- Automation: Improve automation across development, testing, and validation workflows to increase reliability and development velocity
- Cross functional collaboration:Work closely with embedded software, hardware, and systems engineers to ensure seamless integration and robust end to end control performance
*What are we looking for*
You will be a hands-on (Senior) Control Engineer with a solid technical foundation who is comfortable working across control design, testing, and validation. You are pragmatic, detail oriented, and motivated by seeing your work operate safely and reliably in the real world.
- Control Engineering Experience: Strong experience using MATLAB and Simulink for model based control design and strong understanding of control fundamentals
- Vehicle dynamics: Familiarity with vehicle dynamics fundamentals
- Testing and validation: Experience working with simulation environments, HIL setups, and or in vehicle validation
- Problem solving: A structured, analytical approach to debugging, performance evaluation, and system improvement
- Collaboration: Ability to work effectively across disciplines in a complex, safety critical system
- Autonomous execution: Comfortable contributing independently while integrating smoothly into a small, experienced team. Being comfortable and flexible to work in a fast paced environment with ambitious deliverables and changing priorities.
Nice to have
- Familiarity with code generation workflows
- Experience with AUTOSAR blocksets
- Knowledge of C for embedded systems
- Experience with versioning control tools like Git
*Why choose Vay*
💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality
🌍 Huge scope for impact in a fast paced environment
💰 ESOP stock options: A stake in Vay’s future - not just a salary
🌴 Unlimited Paid Vacation Days
🎫 Subsidised Deutschland ticket (Berlin)
🏋️♂️ Subsidised Urban Sports Club or FitX Membership
🚗 All Vay team members receive 30% off their Vay rides
🛍️ Exclusive external discounts
💼 €350 Home Office Set-up
✈️ Relocation financial assistance when relocating to Berlin
📚 Fully funded German Lessons
🎊 Regular team events throughout the year
For more information on Vay’s physical demands, working environments and safety requirements, you can review this link. We’ll also cover anything specific to this role during the first interview.
We’d love to stay connected for future opportunities, so feel free to include your LinkedIn profile when you apply.
We welcome applications from all backgrounds and experiences. If you’re excited about shaping something truly groundbreaking, we’d be happy to hear from you.
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Навыки
- Git
- C++
- MATLAB
- Simulink
- Control Theory
- HIL
- AUTOSAR
- Simulation
- Vehicle Dynamics
- Model-Based Design
Возможные вопросы на собеседовании
Проверка фундаментальных знаний теории управления, необходимых для разработки алгоритмов движения автомобиля.
Как вы подходите к выбору структуры контроллера для системы с переменной задержкой связи, что критично для дистанционного управления?
Оценка опыта работы с инструментами моделирования и генерации кода.
Опишите ваш опыт настройки окружения Hardware-in-the-Loop (HIL) для валидации алгоритмов управления транспортным средством.
Проверка понимания физики процесса.
Какие модели динамики автомобиля (например, велосипедная модель или полноразмерная модель) вы использовали для проектирования систем курсовой устойчивости?
Оценка навыков отладки в реальных условиях.
Расскажите о случае, когда результаты симуляции значительно разошлись с данными дорожных испытаний. Как вы локализовали и устранили проблему?
Проверка умения работать в междисциплинарной команде.
Как вы взаимодействуете с инженерами по встраиваемому ПО (Embedded) для обеспечения эффективного переноса алгоритмов из Simulink в C/C++?
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