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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop breakthrough algorithms and protocols that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where innovation thrives. This role provides the unique opportunity to shape the future of computing while working alongside Nobel laureates and industry pioneers.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, cryptography, and machine learning applications
  • Lead experimental validation of quantum systems on superconducting and photonic platforms
  • Collaborate with hardware teams to overcome quantum decoherence and error correction challenges
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Secure federal and private research funding through compelling proposals
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Expertise in quantum programming languages (Qiskit, Cirq) and simulation frameworks
  • Proven track record of published quantum algorithm research
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Experience with cryogenic quantum systems or photonic quantum processors
  • Strong background in complex mathematical modeling and statistical analysis
  • Ability to translate theoretical concepts into practical engineering solutions

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Photonic Quantum Systems Qiskit Cirq Quantum Error Correction Cryogenics Machine Learning

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