- Страна
- США
- Зарплата
- 160 000 $ – 200 000 $
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AI Factory Customer Engineer
Высокая оценка обусловлена отличным финансированием компании ($200M+), работой с передовыми технологиями (NVIDIA, Starlink) и конкурентной заработной платой. Роль предлагает уникальную возможность влиять на развитие продукта в быстрорастущем секторе Edge AI.
Сложность вакансии
Роль требует редкого сочетания глубоких знаний в области аппаратного обеспечения ИИ (NVIDIA DGX/HGX), инфраструктуры дата-центров (охлаждение, электропитание) и навыков продаж (MEDDPICC). Высокий уровень ответственности за проектирование сложных систем в условиях неопределенности.
Анализ зарплаты
Предлагаемый диапазон $160k–$200k полностью соответствует рыночным стандартам для опытных Sales Engineers в США, специализирующихся на ИИ и инфраструктуре. Верхняя граница диапазона является весьма привлекательной даже для Tier-1 технологических компаний.
Сопроводительное письмо
I am writing to express my strong interest in the AI Factory Customer Engineer position at Armada. With over five years of experience in technical pre-sales and a deep understanding of GPU-based systems like NVIDIA DGX, I am excited about the opportunity to help Armada bridge the digital divide by delivering sovereign AI/ML infrastructure to remote locations. My background in designing modular data center architectures and integrating complex compute, storage, and networking systems aligns perfectly with your current business needs.
Throughout my career, I have excelled at translating complex customer requirements into scalable, production-ready infrastructure solutions. I am particularly drawn to Armada’s mission and its strategic partnerships with industry leaders like Starlink and NVIDIA. I am confident that my technical expertise in AI/ML infrastructure, combined with my ability to cultivate relationships with key stakeholders, will allow me to drive significant revenue growth and support your mission of delivering compute power anywhere in the world.
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Описание вакансии
About the Company
Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. Named one of Fast Company's Most Innovative Companies, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.
With over $200 million in funding, Armada is backed by top investors such as Microsoft (M12), Founders Fund, and has strategic partnerships including Starlink, Skydio, and NVIDIA. We are looking for the most brilliant minds in the world to join us.
Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.
About the Role
The AI Factory Customer Engineer plays a pivotal role in bridging the gap between technical expertise and sales acumen. This position requires a blend of technical knowledge and interpersonal skills to effectively communicate the value of complex technical solutions to potential clients. The Customer Engineer collaborates closely with the sales team and Product/Engineering to understand customer needs, provide technical demonstrations, and offer tailored solutions that address client requirements. This role is instrumental in driving revenue growth by effectively positioning the company's products or services within the marketplace.
Location.This role will be remote in the US
What You'll Do (Key Responsibilities)
- Bring a high-ownership, self-starting mindset with a willingness to fill gaps, solve problems, and support the team. Thrive in ambiguity, step up without waiting for direction, and contribute beyond your role to drive shared success.
- Provide expert technical guidance to customers and sales peers regarding Armada’s AI Factory products and services including Modular Data Centers & GPU based systems from partners such as Nvidia. Understand client challenges and propose appropriate solutions to meet their needs.
- Lead technical demonstrations, proof-of-concepts, and workshops to showcase features, functionalities, and benefits of the company’s offerings. Tailor demonstrations and execute workshops to address specific client challenges.
- Collaborate cross-functional to support sales, including customer engagements, technical scoping, and proposal development. Influence and align internal teams to drive solution strategy, resource prioritization, and successful business outcomes.
- Cultivate strong relationships with key client stakeholders, including technical decision makers and influencers. Serve as a trusted advisor through thought leadership, understanding their challenges, and providing tailored solutions based on technical business needs.
- Stay ahead of industry trends, competitive developments, and emerging technologies. Leverage market awareness to identify opportunities for product innovation and differentiation.
- Enhance field team understanding of technical concepts, product features, and selling strategies. Provide ongoing support and enablement of resources to empower sales representatives in their client interactions.
Required Qualifications
- Bachelor's degree in computer science, Engineering, or related field or equivalent demonstrable work experience; advanced engineering based degrees are a plus.
- 5+ years proven experience in pre-sales, sales engineering, or solution architecture role supporting technical products.
- Understanding of computing, networking and storage hardware fundamentals particularly including AI/GPU based systems such as Nvidia DGX, HGX, MGX, and similar systems.
- Working understanding and experience with common data center supporting systems such as mechanical, electrical, plumbing, cooling and racking; experience with Modular or mobile data centers a plus.
- Familiarity with cloud platforms, virtualization or containerization technologies, and modern enterprise infrastructure.
- Proficiency in at least one core technical domain such as AI/ML infrastructure, connected devices, or data center systems (see Technical Focus Areas below).
- Working knowledge of cloud platforms, modern networking concepts, and containerization or virtualization technologies.
- Excellent communication and presentation skills, with the ability to engage and influence both technical and non-technical audiences.
- Strong problem-solving mindset with the ability to navigate ambiguity and drive clarity.
- Self-starter who thrives in dynamic environments and effectively manages multiple priorities.
- Must be willing and able to travel, including potential international travel, as business needs to dictate.
Demonstrable Expertise in Technical Focus Areas
Primary Focus (Current Business Need):Modular Data Center Systems & Rack Solutions Architecture
We are currently prioritizing hiring profiles with strong expertise in modular and micro data center architectures. This includes the ability to design, integrate, and scale compute, storage, and networking systems within modular environments. Candidates should have solid systems integration experience, exposure to hybrid, scientific and distributed computing platforms), and familiarity with AI hardware systems. The role requires translating customer requirements into reliable, scalable, and production-ready infrastructure solutions.
Secondary Exposure (Nice to Have): AI & Edge AI Solution Architecture
High-level understanding of AI and Edge AI solution design, including defining inputs (e.g., cameras, sensors), basic data quality considerations, and estimating compute requirements. Familiarity with AI frameworks (TensorFlow, PyTorch, ONNX) and awareness of real-world AI deployment considerations is beneficial but not the primary hiring focus.
Secondary Exposure (Nice to Have): Data Center Systems & Architecture
Advanced experience with Data Center Support Systems such as mechanical, electrical (sub systems, PDUs, UPS Systems), plumbing (water cooling systems), cooling (Computer Room Air Conditioning CRAC, Chillers), and control systems.
Preferred Qualifications
- Prior experience with MEDDPICC, Challenger Sale, Command of the Message etc.; and managing a sales process.
- Prior experience with Data Centers, MSPs, Telcos, Oil & Gas, or Utilities.
- Experience working with or selling physical products, including familiarity with logistics, supply chain operations, import/export processes, and customs requirements
Compensation
$160,000—$200,000 USD
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.
Unsolicited Resumes and Candidates
Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.
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Навыки
- PyTorch
- MEDDPICC
- Networking
- TensorFlow
- Solution Architecture
- Virtualization
- AI Infrastructure
- Sales Engineering
- Storage
- Containerization
- ONNX
- NVIDIA DGX
- Data Center Architecture
- NVIDIA HGX
- NVIDIA MGX
Возможные вопросы на собеседовании
Проверка технических знаний специфического оборудования, упомянутого в вакансии.
Расскажите о вашем опыте работы с системами NVIDIA DGX или HGX. С какими основными сложностями при их интеграции в модульные дата-центры вы сталкивались?
Оценка навыков проектирования инфраструктуры.
Как бы вы подошли к расчету требований по электропитанию и охлаждению для мобильного дата-центра, предназначенного для работы в экстремальных климатических условиях?
Проверка навыков продаж и работы с возражениями.
Опишите случай, когда вам пришлось убеждать технического директора (CTO) клиента в преимуществе модульного решения перед традиционным облачным провайдером. Какую методологию продаж вы использовали?
Оценка способности работать на стыке ИИ и инфраструктуры.
Как вы оцениваете влияние выбора сетевой архитектуры на производительность распределенного обучения моделей ИИ на 'edge' устройствах?
Проверка самостоятельности и инициативности.
Armada ценит 'high-ownership' менталитет. Приведите пример, когда вы обнаружили пробел в процессах или продукте и самостоятельно устранили его, не дожидаясь указаний руководства.
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- Страна
- США
- Зарплата
- 160 000 $ – 200 000 $