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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and solve previously unsolvable computational challenges. In our state-of-the-art facility, you'll collaborate with Nobel laureates and industry disruptors to redefine what's possible in cryptography, material science, and artificial intelligence. We offer competitive equity packages, unlimited PTO, and dedicated research budgets for your breakthrough projects.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in finance and healthcare
  • Lead cross-functional teams in prototyping quantum-resistant encryption systems
  • Publish groundbreaking research in top-tier journals and industry conferences
  • Develop quantum simulation frameworks to accelerate drug discovery processes
  • Mentor junior researchers in quantum programming languages like Q# and Qiskit
  • Secure federal and private grants for quantum computing initiatives
  • Collaborate with hardware teams to optimize quantum error correction protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Expertise in quantum algorithm design and quantum circuit optimization
  • Proven track record of publishing in Nature/Science or equivalent tier journals
  • Proficiency with quantum computing frameworks (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra and quantum information theory
  • Experience with high-performance computing and parallel processing
  • Demonstrated ability to secure research funding ($500k+ projects)
  • Published patents in quantum computing or related fields preferred

Required Skills

Quantum Computing Quantum Algorithms Qiskit Q# Cryptography Research Machine Learning High-Performance Computing

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