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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. Our interdisciplinary team is developing next-gen algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and complex systems modeling in a cutting-edge R&D environment.

We're seeking visionary researchers who thrive at the intersection of theoretical physics and practical application. Your work will directly impact industries from pharmaceuticals to aerospace, accelerating breakthroughs previously deemed impossible. Enjoy competitive benefits, flexible work arrangements, and collaboration with Nobel laureates in our state-of-the-art facility.

Responsibilities

  • Design and implement quantum algorithms for real-world applications
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish findings in top-tier journals and present at international conferences
  • Develop hybrid quantum-classical machine learning frameworks
  • Mentor junior researchers and drive innovation workshops
  • Secure patents for novel quantum computing methodologies

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of quantum algorithm development experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, etc.)
  • Strong background in linear algebra and quantum mechanics
  • Publication record in quantum computing research
  • Experience with cloud-based quantum computing platforms
  • Expertise in high-performance computing architectures
  • Track record of interdisciplinary collaboration

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Machine Learning Cryptography High-Performance Computing Research Methodology

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