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Quantum Computing Research Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum computing solutions that will define 2026 and beyond. As our Quantum Computing Research Lead, you'll architect breakthrough algorithms and lead a multidisciplinary team to solve humanity's most complex challenges. We're seeking a visionary who thrives at the intersection of theoretical physics and practical application to build the computational infrastructure of tomorrow.

This role offers unparalleled resources to explore uncharted territory in quantum supremacy, error correction, and scalable quantum systems. You'll collaborate with Nobel laureates, publish in top-tier journals, and directly influence the next generation of AI, cryptography, and materials science.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead a team of 15+ quantum physicists and engineers in cutting-edge research initiatives
  • Develop fault-tolerant quantum computing architectures targeting 2026 deployment milestones
  • Secure $5M+ in annual research funding through NSF and DARPA proposals
  • Partner with industry leaders to commercialize quantum breakthroughs
  • Establish industry standards for quantum security protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (post-doc preferred)
  • 5+ years of hands-on experience with quantum computing platforms (IBM Q, Rigetti, etc.)
  • Published research in Nature/Science journals on quantum algorithms
  • Expertise in quantum error correction and fault-tolerant systems
  • Proven track record securing federal research grants
  • Strong proficiency in Python, C++, and quantum simulation frameworks

Required Skills

Quantum Computing Quantum Algorithms Fault-Tolerant Systems Quantum Cryptography Research Leadership Machine Learning High-Performance Computing

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