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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs that will redefine the digital landscape by 2026. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and systems that solve previously impossible computational challenges. Our interdisciplinary team collaborates with NASA, MIT, and global tech leaders to push the boundaries of quantum supremacy.

As a key architect of our 2026 roadmap, you'll work in our state-of-the-art facility with access to IBM Quantum, D-Wave, and custom-built quantum processors. We offer unparalleled resources, competitive compensation, and the opportunity to shape humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Lead research initiatives in quantum error correction and fault-tolerant computing
  • Develop hybrid quantum-classical machine learning frameworks
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with Qiskit, Cirq, or similar quantum programming frameworks
  • Published research in quantum information science or quantum computing
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing environments
  • Track record of solving complex technical problems in ambiguous domains

Required Skills

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

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