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Quantum Computing Researcher - 2026 Vision

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026. As a Quantum Computing Researcher, you'll design next-gen algorithms, solve complex computational challenges, and shape the future of AI-driven solutions. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art San Francisco lab, where innovation meets impact.

What You'll Achieve: Lead quantum algorithm development, publish groundbreaking research, and contribute to projects that will redefine computing paradigms. Your work will directly influence 2026's most critical industries—from healthcare to climate modeling.

Responsibilities

  • Design and implement quantum algorithms for 2026-scale computational challenges
  • Lead cross-functional teams in prototyping quantum machine learning solutions
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to optimize quantum circuit architectures
  • Publish research in top-tier journals and present at quantum computing conferences
  • Identify emerging quantum threats and develop mitigation strategies
  • Mentor junior researchers in quantum programming methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in quantum algorithms or quantum information theory
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in linear algebra, probability, and statistical mechanics
  • Experience with high-performance computing environments
  • Proven ability to translate complex quantum concepts into practical solutions

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Machine Learning Fault-Tolerant Systems High-Performance Computing Linear Algebra

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