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Quantum Computing Research Scientist - 2026 Innovations

QuantumLeap Labs
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the technological frontier at QuantumLeap Labs, where we're pioneering the quantum revolution for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to join our elite R&D team in San Francisco. This is your chance to work on cutting-edge quantum algorithms, contribute to next-generation hardware development, and publish groundbreaking research that will redefine our digital landscape. Enjoy competitive compensation, state-of-the-art facilities, and a culture that celebrates intellectual curiosity and bold innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Collaborate with hardware teams to develop scalable quantum computing architectures
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Publish high-impact research in peer-reviewed journals and conferences
  • Drive cross-functional projects with machine learning and cryptography teams
  • Secure external funding through NSF grants and industry partnerships
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong publication record in top-tier quantum computing journals
  • Deep understanding of quantum mechanics and information theory
  • Proven track record of translating theoretical concepts into practical applications
  • Experience with high-performance computing and parallel programming
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Quantum Error Correction Fault-Tolerant Systems Machine Learning Cryptography High-Performance Computing

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