Staff Forward Deployed Engineer

Job not on LinkedIn

🕒 April 27

🇺🇸 United States – Remote

💵 $118.4k - $222k / year

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SandboxAQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

💊 Pharmaceuticals

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

📋 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

🎯 Requirements

• 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%

🏖️ Benefits

• 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