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Quantum Computing Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 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 next-generation algorithms and architectures that will redefine computational boundaries. Our interdisciplinary team collaborates with Fortune 500 partners to solve humanity's most complex challenges in cryptography, material science, and AI optimization.

As a key innovator in our Quantum Research Division, you'll work in our state-of-the-art lab equipped with the latest quantum processors and simulation tools. We offer competitive equity packages, flexible hybrid work arrangements, and access to exclusive industry conferences shaping the future of technology.

Responsibilities

  • Design and implement novel quantum algorithms for practical 2026-era applications
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit implementations
  • Publish breakthrough research in top-tier journals and conferences
  • Develop quantum machine learning frameworks for enterprise clients
  • Mentor junior researchers and drive cross-functional innovation initiatives

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency with quantum programming languages (Qiskit, Cirq, Q#)
  • Strong publication record in quantum computing or adjacent fields
  • Expertise in quantum error correction and fault-tolerance techniques
  • Deep understanding of quantum hardware architectures and limitations
  • Experience with high-performance computing and parallel processing

Required Skills

Quantum Computing Algorithm Development Qiskit Cirq Quantum Error Correction Machine Learning High-Performance Computing

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