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Quantum Computing Research Lead

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum computing applications for 2026 and beyond. As a Quantum Computing Research Lead, you'll architect next-gen solutions that redefine computational boundaries, collaborate with Nobel Prize-winning physicists, and shape the future of AI, cryptography, and material science. Our state-of-the-art facility in San Francisco's innovation district offers unparalleled resources to transform theoretical breakthroughs into real-world applications that will revolutionize industries.

We're seeking visionary researchers who thrive at the intersection of physics, computer science, and engineering. This role offers competitive equity, flexible work arrangements, and the opportunity to publish groundbreaking research in top-tier journals. Your work will directly impact humanity's most pressing challenges—from climate modeling to personalized medicine—while mentoring the next generation of quantum pioneers.

Responsibilities

  • Lead quantum algorithm development for practical applications in finance, healthcare, and logistics
  • Design and optimize quantum error correction protocols for fault-tolerant systems
  • Collaborate with hardware teams to translate theoretical models into quantum circuit implementations
  • Secure $2M+ in annual research funding through NSF and DARPA proposals
  • Publish 3+ peer-reviewed papers in Nature/Science journals annually
  • Mentor cross-functional teams of physicists and software engineers
  • Develop quantum security frameworks for post-quantum cryptographic standards
  • Present findings at premier conferences including IEEE Quantum Week and Q2B

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 5+ years research experience
  • Published research in quantum algorithms or quantum information theory
  • Proficiency in quantum programming languages (Q#, Quil, Cirq)
  • Experience with superconducting or photonic quantum computing platforms
  • Track record of securing government or industry research grants
  • Deep understanding of quantum error correction and fault tolerance
  • Expertise in machine learning applications for quantum systems
  • Strong background in high-performance computing architectures

Required Skills

Quantum Computing Quantum Algorithms Quantum Error Correction Q# Cirq Quil Superconducting Qubits Photonic Quantum Computing Machine Learning High-Performance Computing Cryptography Research Proposal Writing

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