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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen computational paradigms. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources to transform theoretical concepts into real-world applications.

Why Nexus Labs? We're not just building technology; we're architecting the future. Our cross-disciplinary teams collaborate on projects that will reshape industries, from drug discovery to climate modeling. With competitive equity packages and flexible work arrangements, we empower our researchers to push boundaries while maintaining work-life integration.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Lead R&D initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with AI/ML teams to develop hybrid quantum-classical frameworks
  • Publish breakthrough research in top-tier scientific journals
  • Mentor junior researchers and drive innovation workshops
  • Secure patents for novel quantum computing methodologies
  • Partner with industry leaders to commercialize quantum applications

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum focus
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq)
  • Publication record in quantum computing or theoretical physics
  • Expertise in quantum algorithm design and complexity analysis
  • Strong background in linear algebra and quantum information theory
  • Experience with high-performance computing environments
  • Track record of translating research into practical applications

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Fault Tolerance Theoretical Physics Machine Learning High-Performance Computing

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