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Quantum Computing Research Lead 2026

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Research Lead to drive breakthroughs in quantum algorithms, error correction, and scalable architectures. This role offers unparalleled opportunities to shape the future of computation while collaborating with Nobel laureates and industry disruptors in our state-of-the-art San Francisco facility.

Our team operates at the intersection of physics, computer science, and artificial intelligence, developing quantum systems that will redefine industries from pharmaceuticals to logistics. You'll lead a multidisciplinary team of quantum physicists and software engineers, pushing the boundaries of what's computationally possible.

Responsibilities

  • Lead quantum algorithm development for 2026-era applications in optimization and simulation
  • Design and implement error correction protocols for fault-tolerant quantum processors
  • Collaborate with hardware teams to co-design quantum architectures at scale
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure $5M+ in research grants from NSF and DARPA
  • Mentor next-generation quantum researchers through our 2026 Fellowship Program

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Published work in quantum error correction or topological quantum computing
  • Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
  • Proven track record of leading complex R&D projects with measurable outcomes
  • Deep understanding of NISQ-era limitations and 2026 scalability roadmaps
  • Strong background in high-performance computing architectures

Required Skills

quantum computing quantum algorithms error correction Qiskit Cirq superconducting qubits machine learning high-performance computing

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