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Quantum Computing Research Scientist

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

Job Description

Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Research Scientist to develop next-gen quantum algorithms and architectures that will redefine computational possibilities. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to accelerate breakthroughs in cryptography, AI optimization, and material science.

As a key member of our Quantum Research Division, you'll work alongside Nobel laureates and industry pioneers in a state-of-the-art facility. We offer competitive equity packages, flexible research timelines, and direct impact on projects shaping humanity's technological future.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead research in quantum error correction and fault-tolerant computing architectures
  • Collaborate with hardware teams to prototype quantum systems at cryogenic temperatures
  • Publish groundbreaking research in top-tier journals and present at international conferences
  • Secure external funding through NSF and DoE grants for quantum research initiatives
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published record in quantum algorithm development or quantum information theory
  • Expertise in quantum hardware integration and cryogenic systems
  • Demonstrated ability to secure competitive research grants
  • Strong background in linear algebra, probability theory, and computational complexity

Required Skills

Quantum Computing Quantum Algorithms Cryogenic Engineering Qiskit Cirq Quantum Error Correction Research Methodology Machine Learning

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