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Quantum Computing Research Scientist

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-resistant cryptography and scalable quantum algorithms to solve humanity's most complex challenges. Our interdisciplinary team collaborates in state-of-the-art labs, pushing the boundaries of computational physics and machine learning. This role offers unparalleled opportunities to shape the future of secure communication, drug discovery, and AI optimization. Enjoy flexible hybrid work, comprehensive benefits including stock options, and participation in groundbreaking research funded by industry leaders and government initiatives.

Responsibilities

  • Design and implement novel quantum algorithms for optimization and simulation problems
  • Develop quantum-resistant cryptographic protocols for next-gen security infrastructure
  • Collaborate with hardware engineers to optimize quantum gate operations on fault-tolerant systems
  • Publish high-impact research in peer-reviewed journals and present at international conferences
  • Mentor junior researchers and lead cross-functional project teams
  • Secure external funding through NSF and DARPA grant applications

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Deep understanding of quantum error correction and fault-tolerant architectures
  • Strong publication record in quantum computing or top-tier algorithmic research
  • Expertise in Python, C++, and quantum circuit optimization techniques
  • Proven ability to translate theoretical concepts into practical implementations
  • Clearance for government-sponsored research programs (or ability to obtain)

Required Skills

Quantum Computing Cryptography Quantum Algorithms Qiskit Cirq Python C++ Fault-Tolerant Systems Machine Learning

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