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Quantum Computing Research Scientist 2026

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer the next frontier of computational power. We seek a visionary Quantum Computing Research Scientist to architect breakthrough solutions for 2026 and beyond. This role offers unparalleled opportunity to shape the future of quantum algorithms, error correction, and practical applications in cryptography, materials science, and AI optimization. Work in our state-of-the-art lab alongside Nobel Prize-winning mentors in an environment that values intellectual curiosity and bold innovation.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational challenges
  • Lead research in quantum error correction and fault-tolerant systems
  • Develop hybrid quantum-classical computing frameworks for real-world applications
  • Collaborate with hardware teams to optimize quantum circuit performance
  • Publish peer-reviewed research and present findings at international conferences
  • Secure research funding through competitive grant proposals
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
  • Expertise in quantum error correction codes and fault tolerance principles
  • Proven track record of published research in quantum algorithms
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with high-performance computing and parallel processing
  • Ability to translate theoretical concepts into practical implementations
  • Exceptional problem-solving skills and innovative thinking

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Fault Tolerance Cryptography Linear Algebra High-Performance Computing

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