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Quantum Computing Research Scientist 2026

QuantumLeap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of computational revolution as we pioneer breakthroughs in quantum computing for 2026 and beyond. Our Austin-based research center combines cutting-edge hardware with AI-driven algorithms to solve humanity's greatest challenges. We're seeking visionary researchers who thrive in interdisciplinary environments and are passionate about redefining computational boundaries.

This role offers unparalleled access to our 512-qubit quantum processors and collaboration with Nobel laureate advisors. Your work will directly impact fields from drug discovery to climate modeling, with opportunities to publish in Nature and lead patent portfolios. Our campus features state-of-the-art labs, on-site childcare, and flexible hybrid work arrangements.

Responsibilities

  • Design and execute quantum algorithms for optimization problems in machine learning
  • Develop error-correction protocols for fault-tolerant quantum systems
  • Collaborate with hardware teams to calibrate quantum processors
  • Lead cross-functional projects with AI and materials science teams
  • Publish research in top-tier journals and present at IEEE Quantum Week
  • Secure external funding through NSF and DARPA grants
  • Mentor PhD candidates in quantum information theory

Qualifications

  • PhD in Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development
  • Proficiency in Qiskit, Cirq, or similar quantum frameworks
  • Publication record in quantum computing or condensed matter physics
  • Experience with high-performance computing architectures
  • Strong background in linear algebra and statistical mechanics
  • Clearance for DoD research projects (or ability to obtain)

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Fault Tolerance High-Performance Computing Linear Algebra Statistical Mechanics

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