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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Lead

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing applications for 2026 and beyond. As a Quantum Computing Research Lead, you'll architect next-gen solutions for AI optimization, climate modeling, and cryptography. Our Austin hub offers state-of-the-art facilities and a collaborative environment where your innovations will shape industries.

We provide competitive equity packages, unlimited PTO, and comprehensive benefits including relocation assistance. This role requires hybrid work with 3 days/week in our downtown Austin innovation campus.

Responsibilities

  • Lead quantum algorithm development for real-world enterprise applications
  • Collaborate with cross-functional teams to integrate quantum solutions into existing tech stacks
  • Publish cutting-edge research in peer-reviewed journals and industry conferences
  • Mentor junior researchers and foster a culture of quantum innovation
  • Secure patents for novel quantum methodologies and architectures
  • Develop partnerships with quantum hardware providers to optimize system performance
  • Translate quantum computing concepts into actionable business strategies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (MS with 8+ years experience considered)
  • 5+ years hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
  • Proven track record of publishing quantum computing research
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong background in machine learning and high-performance computing
  • Experience managing R&D teams and project lifecycles
  • Excellent written and verbal communication skills for technical and non-technical audiences

Required Skills

Quantum Computing Qiskit Cryptography Machine Learning Fault-Tolerant Systems Research Leadership High-Performance Computing

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