Staff Forward Deployed Engineer

Emploi pas sur LinkedIn

🕒 il y a 3 mois

🇺🇸 États-Unis – Télétravail

💵 $118 400 - $222 000 / an

⏰ Temps Plein

🔴 Expert

👷🏻‍♀️ Ingénieur

🗣️🇺🇸🇬🇧 Anglais requis

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SandboxAQ

51 - 200 employés

Fondée en 2021

🤖 Intelligence artificielle

🔒 Cybersecurity

💊 Pharmaceutique

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ est une entreprise développant des technologies d'IA quantitative et inspirées par la physique quantique pour résoudre des problèmes concrets dans les domaines de la découverte de médicaments, la science des matériaux, la cybersécurité et la navigation. Ils construisent de grands modèles quantitatifs (LMQ) fondés sur la physique et la chimie pour prédire les propriétés moléculaires, accélérer la conception thérapeutique et simuler des processus chimiques et catalytiques complexes, tout en appliquant leur expertise en IA et en cryptographie post-quantique pour améliorer la sécurité numérique et la navigation dans des environnements privés de GPS.

Description

• Deploy and validate AQNav on operational platforms • Drive success in-situ, ensuring success in critical test events and demonstrations • Serve as the primary technical partner in business development efforts, presentations, and conferences • Lead the technical side of strategic pursuits and own high-impact customer pilots and presentations • Develop and maintain Python-based pipelines to ingest, clean, and analyze heterogeneous sensor and navigation logs • Convert logs, bias drifts, error growth, and RMSE metrics into concise stories for stakeholders • Turn field observations into well-structured, testable requirements • Guide integration of AQNav with mission computers, flight controllers, and onboard sensors

🎯 Exigences

• Strong understanding of Positioning, Navigation, and Timing (PNT) principles and modern Alt-PNT approaches • 3+ years in aerospace, defense, or autonomous systems with direct hands-on experience integrating and developing hybrid (software and hardware) products and solutions for the DOD • Strong proficiency in Python for data analysis, signal processing, and visualization • Excellent written and verbal communication skills with experience presenting to engineers, program managers, and senior leaders • B.S. in Engineering, Physics, Mathematics, Computer Science, or a closely related field (or equivalent practical experience) • Willing and able to travel up to 30%

🏖️ Avantages

• Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions • Retirement savings with company matching • Paid parental leave • Inclusive family-building benefits • Flexile paid time off • Company-wide seasonal breaks • Support for flexible work arrangements that enable sustainable performance

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