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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
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 solutions for 2026 and beyond. We're seeking a brilliant Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of AI, cryptography, and materials science while working alongside Nobel laureates and industry pioneers. Our Austin campus features state-of-the-art quantum labs and collaborative innovation hubs designed to accelerate breakthrough discoveries.

Responsibilities

  • Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
  • Lead research on quantum error correction and fault-tolerant computing systems
  • Collaborate with hardware teams to develop quantum architectures optimized for 2026-era applications
  • Publish peer-reviewed research and present findings at premier quantum computing conferences
  • Secure research funding through NSF and DoD quantum initiatives
  • Mentor junior researchers and drive quantum literacy across the organization

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Published work in Nature/Science or top-tier quantum computing journals
  • Expertise in quantum programming languages (Qiskit, Cirq) and simulation frameworks
  • Strong background in linear algebra, quantum information theory, and statistical mechanics
  • Experience with superconducting qubits or trapped ion systems
  • Proven track record of translating theoretical concepts into experimental implementations
  • Excellent communication skills with ability to articulate complex quantum concepts

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Superconducting Qubits Quantum Error Correction Machine Learning Cryptography

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