обновлено 3 дня назад
Staff Forward Deployed Engineer (AI)
118 400 - 222 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Forward Deployed Engineer (AI/Quantum Navigation): Deploying and validating GPS-independent navigation solutions for military and commercial platforms with an accent on PNT principles and field data analysis. Focus on building Python-based analysis pipelines, integrating hardware/software on DoD platforms, and translating technical metrics into stakeholder narratives.
Location: Remote in the United States; travel up to 30% for on-site tests, integrations, customer engagements, and conferences. Candidates must already hold or be eligible to obtain a U.S. security clearance.
Salary: US Tier 1 $148,000–$222,000; US Tier 2 $133,200–$199,800; US Tier 3 $118,400–$177,600.
Company
SandboxAQ develops AI solutions powered by Large Quantitative Models for life sciences, financial services, navigation, cybersecurity, and other sectors.
What you will do
- Deploy and validate AQNav quantum navigation systems on aircraft, autonomous platforms, and other operational systems.
- Lead technical workstreams for customer pilots, demonstrations, strategic pursuits, and presentations.
- Build Python pipelines and visualization tools to ingest, clean, analyze, and report on heterogeneous sensor and navigation logs.
- Design experiments comparing AQNav with legacy and alternative PNT solutions, including quantitative performance analysis.
- Translate field data, drift, error growth, and RMSE metrics into clear narratives for operators, engineers, executives, and defense customers.
- Guide integration with mission computers, flight controllers, and onboard sensors while connecting field operations with product, research, and engineering teams.
Requirements
- 3+ years of hands-on experience in aerospace, defense, or autonomous systems integrating hybrid software and hardware solutions for the Department of Defense.
- Strong understanding of Positioning, Navigation, and Timing principles, Alt-PNT approaches, IMUs, GNSS limitations, drift, and latency.
- Strong Python skills for data analysis, signal processing, visualization, binary-log parsing, dashboards, notebooks, and automated reporting.
- B.S. in engineering, physics, mathematics, computer science, or a related field, or equivalent practical experience.
- Excellent written and verbal communication skills with experience presenting to technical and senior stakeholders.
- Must be able to work remotely from the United States, travel up to 30%, and hold or be eligible to obtain a U.S. security clearance.
Nice to have
- M.S. or Ph.D. specializing in guidance, navigation, and controls, with 5+ years in aerospace and defense.
- Experience with Kalman filtering, sensor fusion, simulation, digital twins, and mission validation.
- Experience integrating hardware and software onto manned or unmanned aircraft, UxVs, or surface vessels.
- Familiarity with Department of Defense requirements, acquisition, testing, certification, and verification environments.
Culture & Benefits
- Fully remote work with flexible paid time off and company-wide seasonal breaks.
- Medical, dental, and vision coverage with employer premium contributions.
- Retirement savings with company matching, paid parental leave, and family-building benefits.
- Competitive base compensation, performance-based incentives where applicable, and equity participation.
- Continuous learning through on-the-job development, cross-functional collaboration, and internal learning programs.
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