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Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and systems that will redefine computational paradigms. This role offers unparalleled opportunities to work with cutting-edge hardware, collaborate with Nobel laureates, and shape the future of artificial intelligence and cryptography. Our Austin campus features state-of-the-art quantum labs and flexible work environments designed to maximize innovation.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Collaborate with hardware engineers to develop error-correction protocols for scalable quantum systems
  • Lead research projects in quantum cryptography and secure communication frameworks
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation with AI and materials science teams
  • Secure external funding through NSF and DoE grants for advanced quantum research initiatives

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years of quantum computing research
  • Proven expertise in quantum algorithm design (QAOA, VQE, Grover's variants)
  • Experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
  • Strong publication record in quantum information science or high-performance computing
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Ability to translate complex quantum concepts into practical business applications
  • Security clearance eligibility (preferred for DoE collaborations)

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Cryptography Machine Learning High-Performance Computing Research Methodology

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