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Quantum Computing Research Lead

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Lead to architect next-gen algorithms and drive breakthroughs in computational power. Our Austin-based R&D hub offers unparalleled resources to transform theoretical physics into real-world applications across cryptography, drug discovery, and AI optimization.

As a key architect of our 2026 roadmap, you'll collaborate with Nobel laureates and industry disruptors in an environment where curiosity fuels innovation. We offer competitive equity packages, flexible work arrangements, and dedicated quantum lab access. Help us build the computational infrastructure that will define the next decade.

Responsibilities

  • Lead quantum algorithm development for 2026-scale computational challenges
  • Design fault-tolerant quantum architectures targeting 1M+ qubit systems
  • Collaborate with hardware teams to optimize quantum-classical hybrid workflows
  • Publish breakthrough research in top-tier quantum computing journals
  • Drive commercialization of quantum solutions for Fortune 500 partners
  • Mentor a team of 5-7 quantum research specialists
  • Secure $2M+ in annual research grants and partnerships

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years of hands-on quantum computing research experience
  • Published work in Nature/Science journals or equivalent
  • Expertise in quantum error correction and fault tolerance
  • Proficiency with Qiskit, Cirq, or quantum programming frameworks
  • Experience leading cross-functional research teams
  • Demonstrated ability to translate theory to commercial applications
  • Clearance for government-sponsored quantum projects

Required Skills

Quantum Computing Quantum Algorithms Fault Tolerance Qiskit Research Leadership Cryptography High-Performance Computing Machine Learning

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