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Quantum Computing Research Scientist

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

Job Description

Join the forefront of technological revolution at QuantumLeap Labs, where we're pioneering the next generation of quantum computing solutions. As a Quantum Computing Research Scientist, you'll contribute to groundbreaking projects that will redefine computational capabilities by 2026. Our state-of-the-art facility in San Francisco's innovation hub offers unparalleled resources and collaboration opportunities with world-class physicists and engineers.

We're seeking visionary minds to develop novel quantum algorithms, optimize qubit stability, and solve previously intractable problems in cryptography, materials science, and artificial intelligence. If you're passionate about pushing the boundaries of what's possible in quantum mechanics and want to shape the technological landscape of tomorrow, this is your calling.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational challenges
  • Lead research initiatives to improve qubit coherence times and error correction protocols
  • Collaborate with cross-functional teams to integrate quantum solutions into real-world applications
  • Publish findings in leading scientific journals and present at international conferences
  • Develop quantum machine learning frameworks for next-gen AI systems
  • Mentor junior researchers and drive innovation in quantum computing methodologies
  • Secure research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Physics, Computer Science, or related quantum computing field
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Expertise in quantum error correction and fault-tolerant computing architectures
  • Published research in quantum information science or top-tier quantum computing conferences
  • Proficiency in high-performance computing environments and parallel programming
  • Demonstrated ability to translate theoretical concepts into practical implementations
  • Strong background in linear algebra, probability theory, and complex analysis
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)

Required Skills

Quantum Computing Quantum Algorithms Q# Qiskit Cirq Quantum Error Correction Fault-Tolerant Computing Quantum Machine Learning High-Performance Computing Linear Algebra Physics PhD

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