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Quantum Computing Research Lead

NexTech Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join NexTech Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a Quantum Computing Research Lead to architect next-gen computational frameworks that will redefine industries. In this pivotal role, you'll spearhead breakthrough research in quantum algorithms, error correction, and hybrid quantum-classical systems while mentoring a multidisciplinary team of world-class scientists.

Responsibilities

  • Design and execute quantum computing research roadmaps aligned with 2026 technological inflection points
  • Lead development of novel quantum algorithms for optimization, cryptography, and machine learning
  • Collaborate with hardware teams to co-design quantum processors with practical error mitigation
  • Author peer-reviewed publications and white papers advancing quantum science boundaries
  • Secure and manage multi-million dollar research grants from federal and private institutions
  • Build strategic partnerships with quantum hardware startups and academic institutions
  • Translate theoretical breakthroughs into scalable commercial applications

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field with 5+ years research experience
  • Proven track record of publishing in Nature/Science or top-tier quantum computing journals
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
  • Deep understanding of quantum error correction protocols and fault-tolerant architectures
  • Experience leading cross-functional research teams and managing research budgets
  • Familiarity with quantum hardware platforms (ion traps, superconducting qubits, photonic systems)
  • Strong background in quantum information theory and quantum complexity classes

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Q# Machine Learning Cryptography Research Leadership

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