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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
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing breakthroughs for the 2026 era. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms and solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates in our Austin R&D hub, leveraging state-of-the-art quantum processors to accelerate drug discovery, optimize AI systems, and revolutionize cryptography. This is your chance to shape the computational landscape of tomorrow while enjoying cutting-edge resources and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement novel quantum algorithms for complex optimization problems
  • Lead experiments on 50+ qubit quantum processors to validate theoretical models
  • Develop error-correction protocols to achieve fault-tolerant quantum computation
  • Collaborate with AI teams to integrate quantum-enhanced machine learning frameworks
  • Publish breakthrough research in top-tier journals (Nature, Science, etc.)
  • Secure $5M+ in government and private quantum research grants
  • Mentor PhD candidates in quantum information science

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field
  • 3+ years of hands-on quantum programming experience (Qiskit, Cirq, etc.)
  • Published research in quantum algorithm development or error correction
  • Deep understanding of quantum entanglement and superposition principles
  • Expertise in high-performance computing and parallel processing
  • Proven ability to secure federal research funding (NSF, DARPA, DOE)
  • Experience with cryogenic quantum systems and microwave control electronics

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Cryogenics High-Performance Computing Quantum Error Correction Machine Learning Research Grants

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