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2026 Quantum Computing Research Scientist

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of computational revolution! We're seeking a visionary Research Scientist to pioneer quantum computing breakthroughs that will define 2026 and beyond. You'll lead groundbreaking research in quantum algorithms, error correction, and hardware optimization while collaborating with Nobel laureates and industry pioneers. Our Austin campus features state-of-the-art quantum labs and a culture that celebrates intellectual curiosity and bold innovation. This role offers unparalleled opportunities to shape the future of technology while enjoying competitive compensation, comprehensive benefits, and a flexible work environment.

Responsibilities

  • Design and implement novel quantum algorithms for 2026-era computational challenges
  • Lead quantum error correction research to achieve fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum processor architectures
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation
  • Secure and manage cutting-edge research funding opportunities
  • Stay ahead of emerging quantum security and ethical frameworks

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
  • Published work in Nature/Science or equivalent quantum computing journals
  • Expertise in quantum circuit design and quantum machine learning
  • Proficiency with quantum simulation frameworks (Qiskit, Cirq, Q#)
  • Experience with cryogenic quantum systems and superconducting qubits
  • Demonstrated ability to secure competitive research grants
  • Strong track record of mentoring early-career researchers
  • Passion for ethical quantum technology development

Required Skills

Quantum Computing Quantum Algorithms Error Correction Cryogenic Systems Machine Learning Research Methodology Scientific Publishing

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