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Quantum Computing Research Engineer

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the future of technology at Nexus Labs, a pioneering quantum computing startup revolutionizing 2026's digital landscape. We're seeking visionary Quantum Computing Research Engineers to develop next-gen algorithms and hardware solutions that will redefine computational boundaries. Join our elite team in San Francisco where cutting-edge research meets real-world impact. You'll collaborate with Nobel laureates and industry disruptors in an environment that values innovation above all else. This role offers unparalleled opportunities to publish groundbreaking research and contribute to projects that will transform industries from healthcare to finance.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to prototype quantum processors
  • Create quantum machine learning frameworks for 2026-era applications
  • Lead research initiatives in quantum cryptography and secure communications
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-disciplinary innovation

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra, probability, and quantum mechanics
  • Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
  • Proven track record of peer-reviewed publications or patents
  • Proficiency in high-performance computing and parallel processing
  • Excellent problem-solving skills with complex theoretical concepts
  • Ability to translate quantum theory into practical applications

Required Skills

Quantum Computing Qiskit Cirq Q# Machine Learning Cryptography Linear Algebra High-Performance Computing

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