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Lead Futurist Engineer - 2026 Vision

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Dynamics as we architect the technological landscape of 2026. We're seeking a visionary Lead Futurist Engineer to pioneer breakthrough solutions in quantum computing, AI integration, and sustainable innovation. This role sits at the intersection of research and commercialization, where you'll transform theoretical concepts into market-defining products.

You'll lead a cross-disciplinary team of scientists and engineers, collaborate with Fortune 500 partners, and shape our 5-year strategic roadmap. If you thrive at the bleeding edge of technology and want to define what's possible by 2026, this is your calling.

Responsibilities

  • Architect and execute the 2026 technology roadmap for quantum-AI convergence systems
  • Lead R&D initiatives in next-gen computing paradigms (quantum, neuromorphic, photonic)
  • Collaborate with Stanford/MIT research labs on 6G infrastructure and zero-energy data centers
  • Translate theoretical models into scalable commercial prototypes with 99.9% reliability
  • Mentor a team of 12+ engineers in cutting-edge development methodologies
  • Secure $10M+ in government/private innovation grants for 2026 initiatives
  • Present breakthrough findings at IEEE/ACM summits and industry whitepapers

Qualifications

  • PhD in Quantum Computing, AI Systems, or equivalent with 8+ years industry experience
  • Published research in Nature/Science on quantum algorithms or neural-symbolic AI
  • Expertise in error-corrected quantum systems and fault-tolerant architectures
  • Proven track record of launching commercial products with $50M+ ARR impact
  • Proficiency in Qiskit, Cirq, TensorFlow Quantum, and photonic circuit design
  • Strong patents portfolio (5+ granted in quantum/AI domains)
  • Experience with DARPA/NASA technology transition programs

Required Skills

Quantum Computing AI/ML Neuromorphic Engineering Photonic Systems Fault-Tolerant Architecture Quantum Algorithms Strategic Foresight R&D Leadership

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