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Quantum AI Research Scientist

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Dynamics Inc. at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop groundbreaking solutions that will redefine 2026's digital landscape. Our state-of-the-art quantum computing lab offers unparalleled resources to transform theoretical concepts into real-world applications.

We offer comprehensive benefits including equity grants, unlimited PTO, and a $20,000 annual learning stipend. Our culture thrives on intellectual curiosity and bold innovation—where your ideas could shape humanity's technological trajectory.

Responsibilities

  • Design and implement quantum machine learning algorithms for next-gen computational systems
  • Lead cross-functional R&D projects integrating quantum computing with AI frameworks
  • Develop patent-pending protocols for quantum-resistant cryptography systems
  • Collaborate with government agencies on national quantum security initiatives
  • Author breakthrough research papers for premier scientific journals
  • Mentor junior researchers in quantum computing methodologies
  • Secure multi-million dollar research grants from NSF and DARPA

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
  • 3+ years hands-on experience with quantum circuit design and error correction
  • Expertise in Python/C++ with quantum libraries (Qiskit, Cirq, PennyLane)
  • Published research in Nature/Science or top-tier AI conferences
  • Deep understanding of quantum annealing and variational algorithms
  • Security clearance eligibility (or willingness to obtain)
  • Proven track record of translating theory to commercial applications

Required Skills

Quantum Computing Machine Learning Python C++ Qiskit Cryptography Research AI Ethics

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