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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll design next-generation algorithms and architectures that will redefine computational boundaries. Our Austin-based team collaborates with global leaders in AI, cryptography, and materials science to solve humanity's most complex challenges.

We offer a cutting-edge research environment with state-of-the-art quantum processors, competitive benefits, and opportunities to publish breakthrough findings. Shape the future of technology with us.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for scalable quantum systems
  • Collaborate with cross-functional teams to integrate quantum solutions into practical applications
  • Lead research initiatives in quantum machine learning and cryptography
  • Publish findings in top-tier journals and present at international conferences
  • Secure external funding through NSF and DARPA proposals
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum computing research experience
  • Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
  • Strong background in linear algebra, probability, and statistical mechanics
  • Proven track record of peer-reviewed publications in quantum computing
  • Familiarity with quantum hardware architectures (superconducting, trapped ions)
  • Experience with high-performance computing environments
  • Excellent problem-solving and communication skills

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Machine Learning Cryptography High-Performance Computing Linear Algebra Statistical Mechanics

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