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Senior Multidisciplinary Engineer ($150-250K + Equity) at Unlimited
Исключительная возможность для инженеров топ-уровня: высокая зарплата, опционы, поддержка a16z и работа над масштабными физическими объектами. Локация в Сан-Франциско и амбициозные задачи делают вакансию очень привлекательной.
Сложность вакансии
Высокая сложность обусловлена требованием 7-15 лет опыта в элитных компаниях (Tesla, SpaceX) и необходимостью глубоких знаний сразу в нескольких инженерных областях. Работа предполагает сверхвысокую интенсивность в стиле Илона Маска.
Анализ зарплаты
Предложенная вилка $150k-$250k полностью соответствует и даже местами превышает рыночные стандарты для Senior/Staff инженеров в Сан-Франциско, особенно с учетом дополнительного капитала (Equity).
Сопроводительное письмо
I am writing to express my strong interest in the Senior Multidisciplinary Engineer position at Unlimited. With over a decade of experience in developing complex physical systems and a proven track record at high-stakes engineering firms, I am drawn to your mission of compressing pre-construction timelines using AI-native infrastructure. My background in integrating mechanical, electrical, and systems engineering aligns perfectly with your goal of automating the design of data centers and power plants.
Throughout my career, I have thrived in high-intensity environments similar to the 'Elon-style' culture described, focusing on shipping tangible products rather than just managing processes. I am particularly excited about the opportunity to leverage AI to optimize cost and performance in real-world industrial construction. I am eager to bring my hands-on builder mentality to your founding team in San Francisco and contribute to the $12M a16z-backed vision of reinventing how the physical world is built.
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Откликнитесь в jack-jill-external-ats уже сейчас
Присоединяйтесь к команде Unlimited через Jack & Jill и начните строить будущее промышленной инфраструктуры уже сегодня!
Описание вакансии
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network
The next step is to speak to Jack.
Job Title: Senior Multidisciplinary Engineer
Salary: $150k-$250k + Equity
Company Description: Unlimited - a16z-backed AI-native infrastructure startup
Job Description:
Join a high-octane team reinventing how the physical world is built. You will leverage deep engineering expertise and AI tools to automate complex infrastructure design—data centers, power plants, and mining facilities. This role is for hands-on builders who want to compress months-long pre-construction timelines into weeks and revolutionize global industrial construction.
Location: San Francisco, USA
Why this role is remarkable:
- Join a founding team backed by $12M from Andreessen Horowitz and CIV, working on massive real-world projects valued at nearly half a billion dollars.
- Influence the development of an AI-native engineering platform that generates tens of thousands of design configurations to optimize cost and performance 10x faster than incumbents.
- Work in an ""Elon-style"" high-intensity environment with relocation support to San Francisco and a focus on shipping hard, physical infrastructure at scale.
What you will do:
- Use domain expertise across mechanical, electrical, and systems engineering to build AI-driven automation workflows for complex infrastructure design.
- Collaborate across disciplines to define physics-based constraints and trade-offs, ensuring generated designs are safe, performant, and ready for construction.
- Iterate rapidly on real-world engineering products, moving from concept to shippable design while working directly with a vertically integrated construction team.
The ideal candidate:
- 7-15 years of experience shipping complex physical products at elite companies like Tesla, SpaceX, Anduril, Rivian, or Neuralink.
- A multidisciplinary mindset with the ability to think across the full stack (mechanical, electrical, systems) rather than working in a siloed specialty.
- Hands-on builder mentality with a track record of sticking with hard projects through testing and iteration; no project managers or consultants.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
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Навыки
- Mechanical Engineering
- Electrical Engineering
- Systems Engineering
- AI
- Infrastructure Design
- Physics-based Modeling
- Rapid Prototyping
Возможные вопросы на собеседовании
Вакансия требует опыта в компаниях уровня SpaceX/Tesla, где важна скорость и надежность.
Расскажите о самом сложном физическом продукте, который вы довели от концепта до производства: с какими междисциплинарными конфликтами вы столкнулись?
Роль подразумевает автоматизацию проектирования через AI.
Как бы вы подошли к формализации физических ограничений (тепловых, электрических) для алгоритма, генерирующего дизайн дата-центра?
Компания ищет 'универсалов', а не узких специалистов.
Опишите случай, когда вам пришлось быстро освоить смежную инженерную область (например, электрику, будучи механиком) для решения критической проблемы.
Упоминается 'Elon-style' среда.
Как вы расставляете приоритеты и сохраняете продуктивность в условиях экстремально сжатых сроков и высокой неопределенности?
Продукт должен быть готов к строительству.
Каков ваш опыт взаимодействия с производственными или строительными командами для обеспечения технологичности (DfM/DfC) ваших проектов?
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- Страна
- США
- Зарплата
- 150 000 $ – 250 000 $