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2026 Quantum AI Researcher

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Quantum Labs at the forefront of 2026 technological revolution. We're pioneering quantum-AI fusion systems that will redefine computing paradigms. As our Quantum AI Researcher, you'll architect next-gen algorithms merging quantum mechanics and machine learning to solve previously unsolvable challenges. Collaborate with Nobel laureates in our state-of-the-art San Francisco lab, where breakthroughs in quantum cryptography, neural networks, and computational biology converge.

This role offers unparalleled access to our $50M quantum computing cluster and industry-leading R&D budget. Shape the technological landscape of the next decade while accelerating your career in one of tech's most explosive growth sectors.

Responsibilities

  • Design and implement quantum-AI hybrid algorithms for cryptographic systems
  • Lead research initiatives in quantum neural networks and computational optimization
  • Develop fault-tolerant quantum machine learning frameworks
  • Collaborate with cross-functional teams on quantum-computational biology projects
  • Publish breakthrough research in top-tier quantum computing journals
  • Secure $2M+ in government/private quantum research grants
  • Mentor junior researchers in quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or PennyLane)
  • Published research in quantum machine learning or quantum cryptography
  • Expertise in quantum error correction and fault-tolerant systems
  • Strong Python/C++ programming with high-performance computing experience
  • Proven track record of securing quantum research funding
  • Experience with IBM Quantum Experience or AWS Braket platforms

Required Skills

Quantum Computing Machine Learning Cryptography Qiskit Python C++ Fault-Tolerant Systems Neural Networks High-Performance Computing

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