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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Researcher

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 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 Researcher to develop groundbreaking algorithms and architectures that will redefine computational boundaries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay. This role offers unparalleled opportunities to shape the future of artificial intelligence, cryptography, and molecular modeling while enjoying comprehensive benefits including equity, wellness stipends, and flexible work arrangements.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop novel quantum error correction techniques for scalable qubit systems
  • Lead cross-functional research teams to prototype quantum-classical hybrid solutions
  • Publish breakthrough findings in peer-reviewed journals and industry conferences
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Secure federal grants and private partnerships for quantum research initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years industry experience
  • Proficiency in quantum programming languages (Qiskit, Cirq, Quipper)
  • Published research in quantum algorithms or quantum information theory
  • Deep understanding of quantum decoherence and fault-tolerant architectures
  • Experience with high-performance computing environments and parallel processing
  • Strong background in linear algebra and complex analysis
  • Track record of securing research funding or patents in quantum technologies

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Quantum Error Correction Quantum Cryptography High-Performance Computing Linear Algebra

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