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Quantum Computing Research Scientist

Nexus Quantum Labs
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-generation quantum algorithms and architectures that will redefine computing paradigms. Our Austin-based hub combines cutting-edge labs with a collaborative culture where your breakthroughs will directly impact global industries from pharmaceuticals to aerospace.

This role offers unparalleled resources, including access to our 128-qubit quantum processors and partnerships with NASA and MIT. You'll lead projects in quantum machine learning, error correction optimization, and cryptographic security while mentoring a team of interdisciplinary innovators.

Responsibilities

  • Design and implement novel quantum algorithms for complex computational problems
  • Lead research in quantum error correction and fault-tolerant systems
  • Collaborate with hardware teams to optimize quantum circuit architectures
  • Develop quantum machine learning models for predictive analytics
  • Publish findings in leading journals and present at international conferences
  • Secure grant funding from DARPA and NSF initiatives
  • Mentor junior researchers in quantum information theory

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years experience with quantum programming frameworks (Qiskit, Cirq)
  • Published research in quantum algorithm development
  • Expertise in quantum error correction techniques
  • Strong background in linear algebra and complex analysis
  • Experience with high-performance computing environments
  • Proven ability to secure competitive research funding
  • Clearance for government-contracted research projects

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Machine Learning Linear Algebra Research Methodology

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