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Staff Navigation Engineer

Оценка ИИ

Исключительная возможность работать в спин-оффе Alphabet над прорывными квантовыми технологиями с отличным соцпакетом и высокой степенью автономности.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью глубоких знаний в области физики, стохастической фильтрации и C++, а также обязательным требованием гражданства США для работы с государственными контрактами.

Анализ зарплаты

Медиана195 000 $
Рынок165 000 $ – 240 000 $
Оценка ИИ

Учитывая уровень Staff и специфику квантовых технологий в США, рыночная зарплата значительно выше средней по IT и обычно включает существенную долю опционов.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Navigation Engineer position at SandboxAQ. With over five years of experience in developing state estimation and localization algorithms, I am particularly drawn to your team's pioneering work in Magnetic Navigation (MagNav) as a GNSS alternative. My background in Aerospace Engineering and proficiency in C++ align perfectly with your requirements for developing high-performance navigation solutions.

In my previous roles, I have successfully implemented Kalman filtering and batch estimation techniques for complex robotic systems, often integrating diverse sensor data from IMUs and GNSS. I am excited by the prospect of applying these skills to novel Quantum signals and working within your agile, multidisciplinary environment. My experience with real-world sensor data and hardware/software integration ensures I can contribute immediately to the AQNav Team's mission of delivering transformative navigational technologies.

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Откликнитесь в sandboxaq уже сейчас

Присоединяйтесь к SandboxAQ, чтобы создавать навигационные системы будущего на стыке квантовых технологий и ИИ!

Описание вакансии

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

The Opportunity

This unique opportunity is part of the AQNav Team, which is responsible for technology development, advanced concepts, design, development, delivery, integration and test, verification and validation, and operation of developing novel navigational methods using Magnetic Navigation as a GNSS alternative. In this role, you will have the unique opportunity to bring new and exciting technologies to market.

As a Navigation Software Engineer, you will work for SandboxAQ’s MagNav Team, developing product capabilities and conducting cutting-edge research and technology development in guidance, navigation, and control systems utilizing novel navigation techniques.

Key Responsibilities

In this role, you will join a small, agile engineering team prototyping, developing, and producing algorithms for novel MagNav systems.

  • As a navigation software engineer, you will be responsible for developing and implementing state estimation and localization algorithms, with a strong focus on batch estimation and optimization approaches that are aimed at improving navigation accuracy.
  • You will work with applied science teams on state-of-the-art R&D integrating and conceiving navigation techniques for novel Quantum signals.

Other responsibilities include:

  • Conceiving, designing, analyzing, and developing components of the navigation solution from a software perspective.
  • Identifying metrics assessing the performance of navigation solutions and developing and implementing testing and verification.

Essential Skills & Experience

  • Master’s Degree in Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Computer Science, or any field specializing in robotics and 5+ years of development experience.
  • U.S. Citizenship is required due to USG contract requirements.
  • Proficiency in C++
  • Familiarity with software development, git-based development, and unit testing.
  • Experience with the development of simulations.
  • Experience with hardware/software integration of navigation sensors.
  • Familiarity with techniques for state estimation, tracking & localization (e.g. Bayesian Filtering, Kalman Filtering, Particle Filtering).
  • Familiar with navigation systems and algorithms, including GNSS and INS.
  • Experience with validating the performance of navigation systems.

Additionally, working knowledge of the following are desirable:

  • CUDA
  • SLAM
  • GPS Fundamentals
  • GNSS / IMU Integration
  • Experience with map-based navigation
  • Digital Signal Processing/Communications Theory

Highly Desired Skills & Experience

  • Intellectual curiosity and desire to learn
  • Experience implementing navigation algorithms in real-time systems
  • Passion for physics or knowledge of aeronautics
  • Doer attitude with a startup mindset who enjoys working with a diverse & nimble team. No task is too big or too small!
  • Hands-on experience working with sensor measurements collected from real-world systems

Why Join Us?

We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work.

  • Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
  • Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
  • Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
  • Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

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Навыки

  • Git
  • Unit Testing
  • C++
  • Robotics
  • CUDA
  • SLAM
  • GNSS
  • Digital Signal Processing
  • Kalman Filtering
  • State Estimation
  • Inertial Navigation System

Возможные вопросы на собеседовании

Проверка фундаментальных знаний в области навигационных алгоритмов, критически важных для MagNav.

Можете ли вы объяснить различия между расширенным фильтром Калмана (EKF) и факторными графами (Factor Graphs) применительно к задачам локализации?

Вакансия предполагает работу с магнитными сигналами, которые сильно зашумлены. Важно понять опыт кандидата в этой области.

Какие методы вы использовали для калибровки датчиков и компенсации магнитных помех от платформы (например, самолета или робота)?

Позиция Staff уровня требует навыков оптимизации производительности.

Опишите ваш опыт оптимизации алгоритмов навигации на C++ для работы в режиме реального времени. Использовали ли вы CUDA для параллелизации вычислений?

Работа с реальными данными — ключевой аспект роли.

Расскажите о случае, когда данные с датчиков в реальных условиях сильно отличались от симуляции. Как вы диагностировали и решили эту проблему?

Проверка понимания альтернативных методов навигации.

В чем заключаются основные сложности использования магнитных карт для глобальной навигации по сравнению с традиционными инерциальными системами?

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sandboxaq
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