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Quantum Computing Research Engineer - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological revolution as we develop Project 2026—a groundbreaking initiative leveraging quantum computing to solve humanity's most complex challenges. We're seeking visionary Quantum Computing Research Engineers to pioneer next-generation algorithms and systems that will redefine computational possibilities. Our collaborative environment combines cutting-edge resources with interdisciplinary teams to accelerate breakthroughs in cryptography, optimization, and materials science. This role offers unparalleled opportunities to publish research, contribute to open-source quantum frameworks, and shape the future of technology.

Responsibilities

  • Design and implement quantum algorithms for real-world optimization problems
  • Develop error mitigation strategies for NISQ-era quantum processors
  • Collaborate with cross-functional teams to integrate quantum solutions into hybrid computing architectures
  • Lead research initiatives in quantum machine learning and neural networks
  • Document research findings in peer-reviewed publications and technical whitepapers
  • Mentor junior researchers and contribute to open-source quantum software projects

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Expertise in quantum error correction and fault-tolerant architectures
  • Strong background in linear algebra, probability theory, and quantum mechanics
  • Published research in top-tier quantum computing conferences or journals
  • Proficiency in high-performance computing environments and parallel programming
  • Demonstrated ability to translate theoretical concepts into practical implementations

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Machine Learning HPC Python Research

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