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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We seek a visionary Quantum Computing Research Scientist to develop groundbreaking algorithms and protocols that will redefine computational paradigms. In this role, you'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, materials science, and AI optimization.

Our Austin-based innovation hub offers unparalleled resources, including access to 1000-qubit quantum processors and a $50M R&D fund. We offer competitive equity packages, flexible work arrangements, and the opportunity to shape technologies that will impact billions.

Responsibilities

  1. Design and implement novel quantum algorithms for optimization and simulation problems
  2. Develop error-correction protocols for fault-tolerant quantum systems
  3. Lead cross-functional research teams in prototyping quantum applications
  4. Collaborate with hardware teams to co-design quantum processors
  5. Publish breakthrough research in peer-reviewed journals and conferences
  6. Secure $5M+ in government and private research grants
  7. Mentor PhD candidates in quantum information science

Qualifications

  1. PhD in Quantum Computing, Physics, or Computer Science
  2. 3+ years experience with quantum algorithm development
  3. Expertise in quantum error correction and fault tolerance
  4. Publication record in Nature/Science or equivalent venues
  5. Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
  6. Experience with superconducting or photonic quantum systems
  7. Strong background in linear algebra and complex analysis

Required Skills

Quantum Computing Quantum Algorithms Fault Tolerance Qiskit Cirq Superconducting Qubits Quantum Cryptography Machine Learning Research Leadership

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