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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Lead to architect next-gen quantum systems that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and scientific modeling while working with Nobel Prize-winning researchers in our state-of-the-art facility.

Our team operates at the intersection of theoretical physics and practical application, developing quantum algorithms that solve previously intractable problems. You'll collaborate with government agencies and Fortune 500 partners to implement quantum-resistant security frameworks and accelerate drug discovery processes.

Responsibilities

  • Design and implement quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams in developing quantum hardware-software integration protocols
  • Publish breakthrough research in peer-reviewed journals and industry whitepapers
  • Develop quantum-safe cybersecurity frameworks for enterprise clients
  • Secure $5M+ in research grants from DARPA and NSF
  • Mentor PhD candidates in quantum information science
  • Present findings at international conferences like Q2B and IEEE Quantum Week

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 5+ years experience with quantum programming languages (Qiskit, Cirq)
  • Published research in quantum error correction or fault-tolerant systems
  • Expertise in quantum machine learning frameworks
  • Security clearance eligibility (DoD preferred)
  • Track record of securing federal research funding
  • Experience with cryogenic quantum hardware interfaces

Required Skills

Quantum Computing Qiskit Cirq Quantum Machine Learning Cryptography Cryogenics Research Leadership Federal Grants

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