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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Lead

Nexus Innovations Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the technological landscape of 2026 as our Quantum Computing Research Lead at Nexus Innovations Inc. We're pioneering the next frontier of computational power, and you'll drive breakthroughs that will redefine industries by 2026. Join our elite team in Austin, where innovation meets execution, and help build the quantum infrastructure that powers tomorrow's solutions. This is your opportunity to lead cutting-edge research, mentor top talent, and contribute to projects that will fundamentally change how the world processes information.

Responsibilities

  • Lead quantum algorithm development for 2026-era applications in cryptography and materials science
  • Design and execute experimental quantum computing protocols using 50+ qubit systems
  • Collaborate with hardware teams to optimize quantum error correction protocols
  • Publish high-impact research in top-tier journals and industry conferences
  • Mentor junior researchers and cross-functional teams in quantum principles
  • Secure $5M+ in research grants for 2026 quantum computing initiatives
  • Develop strategic partnerships with national labs and academic institutions

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years industry experience
  • Proven track record of publishing in Nature/Science journals or equivalent
  • Expertise in quantum programming languages (Q#, Quil, or Qiskit)
  • Experience with superconducting qubit architectures and cryogenic systems
  • Demonstrated ability to secure government or corporate research funding
  • Strong background in machine learning applied to quantum data analysis
  • Published work on quantum error correction or fault-tolerant computing

Required Skills

Quantum Computing Machine Learning Cryogenics Q# Python Research Leadership Quantum Cryptography Fault-Tolerant Computing

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