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Quantum Computing Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological revolution as we pioneer the next era of computational power. We're seeking visionary Quantum Computing Research Scientists to design and implement breakthrough algorithms that will reshape industries by 2026. Our state-of-the-art lab in San Francisco offers unparalleled resources for exploring quantum supremacy, error correction, and practical applications in cryptography, AI, and material science.

As a key member of our R&D team, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum systems. We offer competitive compensation, equity packages, and a flexible work environment designed to maximize innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum error correction protocols to achieve fault-tolerant computing
  • Lead experimental validation of quantum hardware performance metrics
  • Collaborate with cross-functional teams to translate quantum research into commercial applications
  • Publish groundbreaking research in top-tier journals and conferences
  • Secure external funding through government and industry grants

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years research experience
  • Expertise in quantum algorithm development (Shor's, Grover's, VQE)
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, Q#)
  • Strong background in quantum error correction and fault tolerance
  • Published research in quantum computing or related fields
  • Experience with superconducting or trapped-ion quantum systems
  • Excellent analytical and problem-solving abilities

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Fault Tolerance Superconducting Qubits Cryptography Machine Learning

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