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Quantum Computing Research Scientist 2026

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of quantum innovation as we prepare for the 2026 technological revolution. We're seeking visionary Quantum Computing Research Scientists to develop next-gen algorithms and solve humanity's most complex challenges. This role offers unparalleled access to our state-of-the-art quantum processors and collaborative partnerships with leading research institutions. You'll pioneer breakthroughs in cryptography, materials science, and AI optimization while shaping the future of computational science.

Our Austin campus features dedicated quantum labs, flexible work arrangements, and competitive benefits including equity packages. Ideal candidates thrive in interdisciplinary environments and are passionate about pushing quantum boundaries.

Responsibilities

  • Design and implement novel quantum algorithms for real-world applications
  • Lead experimental validation of quantum circuits on 1000+ qubit systems
  • Collaborate with AI teams to develop quantum-classical hybrid models
  • Publish research in top-tier journals and present at international conferences
  • Mentor junior researchers and drive quantum education initiatives
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years hands-on experience with superconducting or photonic qubits
  • Expertise in quantum error correction and fault-tolerant architectures
  • Proficiency in Qiskit, Cirq, or equivalent quantum frameworks
  • Published research in quantum algorithms or quantum information theory
  • Strong background in linear algebra and probability theory
  • Experience with high-performance computing environments

Required Skills

Quantum Computing Quantum Algorithms Superconducting Qubits Qiskit Quantum Error Correction Fault-Tolerant Computing High-Performance Computing AI Integration

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