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Quantum Computing Research Scientist

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

Job Description

Join Nexus Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-gen algorithms that will redefine computational boundaries. In this role, you'll collaborate with Nobel Prize-winning physicists and AI pioneers to build scalable quantum systems capable of solving previously impossible problems in cryptography, material science, and climate modeling. Our Austin headquarters features state-of-the-art cryogenic labs and a dedicated quantum sandbox environment where your innovations will transform theoretical concepts into real-world breakthroughs.

Responsibilities

  • Design and implement novel quantum algorithms for practical applications in logistics optimization and drug discovery
  • Lead cross-functional teams in developing quantum-resistant encryption protocols for 2026 security standards
  • Publish breakthrough research in top-tier journals and present findings at IEEE Quantum Week
  • Collaborate with hardware engineers to optimize qubit coherence times and error correction systems
  • Mentor PhD candidates in quantum machine learning frameworks
  • Secure $5M+ in research grants from NSF and DARPA for quantum initiatives
  • Develop quantum-inspired hybrid computing models for near-term commercial deployment

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
  • Published research in Nature/Science on quantum error correction or topological qubits
  • Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
  • Proven track record of translating theoretical quantum models into practical implementations
  • Strong background in quantum machine learning and variational algorithms
  • Experience securing federal research grants and managing multi-disciplinary teams
  • Deep understanding of quantum decoherence mitigation techniques at scale
  • Proficiency in Python, C++, and low-level quantum hardware interfacing

Required Skills

Quantum Computing Qiskit Cirq Quantum Machine Learning Cryptography Error Correction Research Physics Python C++ Hardware Optimization

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