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Quantum Computing Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Quantum Computing Researcher to develop next-gen algorithms, optimize quantum systems, and solve previously impossible computational challenges. This role offers unparalleled access to cutting-edge hardware, collaborative innovation labs, and the chance to shape the future of quantum technology.

As part of our elite research team, you'll work on mission-critical projects spanning cryptography, optimization, and machine learning acceleration. Our state-of-the-art facility in San Francisco provides an environment where theoretical meets practical innovation, supported by industry-leading mentors and resources.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Optimize quantum circuit performance on leading hardware platforms
  • Lead research initiatives in quantum error correction and scalability
  • Collaborate with cross-functional teams on hybrid quantum-classical systems
  • Publish findings in peer-reviewed journals and industry conferences
  • Develop patentable quantum computing methodologies
  • Mentor junior researchers and contribute to technical roadmaps

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Deep understanding of quantum mechanics principles
  • Track record of peer-reviewed publications or patents
  • Experience with quantum hardware (IBM, Rigetti, IonQ)
  • Strong analytical and problem-solving skills
  • Ability to thrive in fast-paced R&D environments

Required Skills

Quantum Computing Algorithm Development Quantum Programming Cryptography Machine Learning Research Optimization Physics

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