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Research & Development 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist (2026)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 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 visionary researchers to develop next-gen algorithms and hardware architectures that will redefine computational boundaries. Our interdisciplinary team collaborates with MIT, Caltech, and government agencies to solve humanity's most complex challenges in cryptography, drug discovery, and climate modeling.

Work in our state-of-the-art quantum lab with access to D-Wave and IBM quantum processors. Enjoy flexible schedules, unlimited PTO, and a $15,000 annual innovation budget. Your breakthroughs will directly impact Fortune 500 clients and shape the technological landscape of the next decade.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and machine learning applications
  • Lead cross-functional teams in developing error-corrected quantum processors
  • Publish peer-reviewed research in Nature/Science journals and present at IEEE Quantum Week
  • Collaborate with hardware teams to prototype superconducting qubit systems
  • Develop quantum-resistant cryptographic protocols for enterprise clients
  • Secure $2M+ in government research grants for 2026 quantum initiatives

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent research experience)
  • 3+ years of hands-on quantum algorithm development using Qiskit or Cirq
  • Published work in top-tier quantum computing conferences (QIP, ACM)
  • Expertise in quantum error correction codes (surface code, color codes)
  • Proficiency with high-performance computing clusters and GPU acceleration
  • Security clearance eligibility (required for government projects)

Required Skills

Quantum Computing Qiskit Cirq Superconducting Qubits Machine Learning Cryptography HPC Python C++

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