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Quantum Computing Research Lead 2026

NexusLabs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join NexusLabs at the forefront of technological evolution as we pioneer the next wave of quantum computing breakthroughs. As a Quantum Computing Research Lead for our 2026 initiative, you'll architect the future of computational science. This role offers unparalleled opportunity to shape transformative technologies that will redefine industries worldwide.

We're seeking visionary researchers to lead cross-functional teams in developing quantum algorithms, error-correction protocols, and hybrid quantum-classical systems. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin facility, equipped with cutting-edge quantum hardware and AI-driven research platforms.

Competitive benefits include equity grants, flexible R&D budgets, and exclusive access to our global innovation network. Shape tomorrow's digital landscape today.

Responsibilities

  • Lead quantum algorithm development for 2026-era optimization problems
  • Design fault-tolerant quantum computing architectures
  • Manage interdisciplinary teams of physicists, engineers, and data scientists
  • Publish breakthrough research in top-tier scientific journals
  • Develop hybrid quantum-classical machine learning frameworks
  • Secure $5M+ in government and industry research grants
  • Mentor next-generation quantum researchers

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 5+ years hands-on quantum computing research experience
  • Published work in Nature/Science or equivalent tier journals
  • Expertise in quantum error correction and topological computing
  • Proven track record of securing research funding
  • Strong programming skills (Python, Q#, C++ for quantum systems)
  • Experience leading technical teams of 10+ researchers

Required Skills

quantum computing quantum algorithms fault tolerance research leadership scientific publishing grant writing machine learning topological computing

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