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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and hardware prototypes that will redefine computational boundaries. In this high-impact role, you'll collaborate with Nobel laureates and industry disruptors to solve previously impossible problems in cryptography, materials science, and AI optimization.

Our state-of-the-art Quantum Research Center in San Francisco offers unparalleled resources, including access to 100+ qubit systems and a $50M innovation fund. Enjoy flexible work arrangements, comprehensive benefits, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in drug discovery and financial modeling
  • Lead cross-functional teams to develop quantum-resistant encryption protocols for 2026 infrastructure
  • Optimize qubit coherence times in cryogenic systems through advanced error correction techniques
  • Publish breakthrough research in Nature/Science and present at IEEE Quantum Week
  • Collaborate with hardware engineers to prototype quantum processors with >1000 qubits
  • Secure $2M+ in government grants for quantum supremacy projects
  • Mentor PhD candidates and establish industry standards for quantum safety protocols

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Published research in quantum error correction or topological qubits (Nature/IEEE journals)
  • Proficiency in Qiskit, Cirq, or quantum circuit simulation frameworks
  • Expertise in cryogenic engineering and superconducting qubit manipulation
  • Demonstrated success securing DOE/NIST quantum computing grants
  • Experience with machine learning integration for quantum hybrid systems
  • Deep understanding of NISQ-era limitations and 2026 scalability roadmaps
  • Strong track record of translating theoretical models into functional prototypes

Required Skills

Quantum Computing Qiskit Cryogenic Engineering Quantum Error Correction Superconducting Qubits Machine Learning Cryptography NISQ DOE Grants

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