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Quantum Computing Research Lead 2026

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Labs at the forefront of quantum computing innovation. As we prepare for the 2026 technological inflection point, we seek a visionary Research Lead to pioneer breakthroughs in quantum algorithms and hardware. You'll lead a multidisciplinary team pushing the boundaries of computational power, solving previously unsolvable challenges in cryptography, materials science, and AI optimization. Our Austin campus features state-of-the-art quantum labs and collaborative spaces where your ideas can shape tomorrow's reality.

This role offers unparalleled opportunities to influence the next generation of computing while working alongside Nobel laureates and industry pioneers. If you're driven to solve humanity's most complex problems through quantum mechanics, this is your defining moment.

Responsibilities

  • Lead quantum algorithm development for 2026-era applications in cryptography and AI
  • Direct hardware-software co-design initiatives for next-gen quantum processors
  • Collaborate with academic institutions to publish breakthrough research
  • Manage a team of 15+ quantum physicists and engineers
  • Develop quantum-resistant cybersecurity frameworks for enterprise clients
  • Secure $5M+ in R&D funding through grant proposals
  • Present findings at global conferences including IEEE Quantum Week

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 8+ years of quantum computing research with peer-reviewed publications
  • Expertise in quantum error correction and fault-tolerant systems
  • Proven experience leading cross-disciplinary technical teams
  • Deep knowledge of quantum programming languages (Q#, Qiskit)
  • Published work in Nature Physics or comparable journals
  • Track record of securing government or corporate research grants

Required Skills

Quantum Computing Quantum Algorithms Cryogenics Cryptography Machine Learning Superconducting Qubits Research Leadership Python C++

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