Senior Formal Methods Engineer — AI/Verification, Equity

Atalanta

Washington (District of Columbia)

Vor Ort

USD 225.000 - 275.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Annual Argonaut stipend for fitness, nutrition, and sleep
Comprehensive health, dental, and vision insurance
Generous paid time off
Weekly meals and other on-site amenities

Zusammenfassung

Atalanta is seeking a Formal Methods Engineer in Washington, DC, to architect a mathematical reasoning engine for Argo. This role involves leading core reasoning capabilities, collaborating with engineers to apply formal methods, and ensuring rigorous proofs for operational outcomes.

The ideal candidate has deep expertise in formal methods, experience with AI models, and a PhD in a related field. The role offers a competitive salary and significant equity, alongside comprehensive health benefits.

Qualifikationen

  • Deep expertise in formal methods, automated reasoning, and system verification.
  • Hands-on experience with Lean, Z3, and similar formal methods tools.
  • Experience applying formal reasoning to real-world operational or mission-critical systems.
  • Experience applying AI models and techniques for software/hardware verification.

Aufgaben

  • Lead the development of Argo’s core mathematical reasoning capabilities.
  • Collaborate with engineers to apply formal methods to deployed systems.
  • Define, structure, and verify formal proofs tied to operational outcomes.
  • Shape and implement Atalanta’s applied research roadmap.

Kenntnisse

Formal methods
Automated reasoning
System verification
Lean
Z3

Ausbildung

PhD in Computer Science, Mathematics, or related technical field

Jobbeschreibung

Atalanta is seeking a Formal Methods Engineer in Washington, DC, to architect a mathematical reasoning engine for Argo. This role involves leading core reasoning capabilities, collaborating with engineers to apply formal methods, and ensuring rigorous proofs for operational outcomes.

The ideal candidate has deep expertise in formal methods, experience with AI models, and a PhD in a related field. The role offers a competitive salary and significant equity, alongside comprehensive health benefits.

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