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Quantum AI Research Scientist

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the forefront of innovation at Nexus Future Labs, where we're pioneering breakthroughs at the intersection of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll design next-generation algorithms that will define technological paradigms through 2026 and beyond. Our Austin-based incubator offers unparalleled resources for translating theoretical models into real-world applications.

We're seeking visionary minds to collaborate on projects ranging from quantum neural networks to AI-driven climate modeling. You'll work in a state-of-the-art facility with access to quantum processors and a multidisciplinary team of Nobel laureates and industry pioneers.

Responsibilities

  • Develop novel quantum machine learning algorithms for complex optimization problems
  • Lead research initiatives in quantum-resistant cryptography and AI security
  • Collaborate with hardware teams to prototype quantum-AI hybrid systems
  • Publish findings in top-tier journals and present at global tech conferences
  • Mentor junior researchers and drive cross-functional innovation sprints
  • Secure federal grants and private partnerships for frontier research

Qualifications

  • PhD in Quantum Computing, Machine Learning, or related field
  • 5+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
  • Published research in Nature/Science or equivalent tier journals
  • Expertise in tensor networks and quantum error correction techniques
  • Proficiency in Python/C++ with high-performance computing experience
  • Demonstrated ability to translate theoretical concepts into prototypes
  • Strong background in at least one specialized domain: computational biology, materials science, or finance

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Cryptography Python C++ Qiskit Research Prototyping

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