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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine human-machine interaction. This role combines quantum computing principles with advanced machine learning to solve previously unsolvable challenges in cryptography, climate modeling, and personalized medicine.

Our Austin campus features state-of-the-art quantum labs and collaborates with MIT, Stanford, and NASA. You'll lead a cross-functional team of physicists, data scientists, and engineers to prototype and deploy breakthrough applications. We offer competitive equity packages, unlimited PTO, and professional development stipends for emerging tech certifications.

Responsibilities

  • Design hybrid quantum-classical computing architectures for AI optimization
  • Develop algorithms leveraging quantum supremacy for real-time data analysis
  • Lead implementation of fault-tolerant quantum neural networks
  • Collaborate with hardware teams to co-design quantum processors
  • Translate complex quantum concepts into actionable business solutions
  • Present findings to C-suite executives and government research agencies
  • Mentor junior researchers in quantum machine learning best practices

Qualifications

  • PhD in Quantum Computing, AI, or related field with 5+ years industry experience
  • Published research in Nature/Science on quantum machine learning
  • Proficiency in Qiskit, Cirq, and quantum error correction frameworks
  • Expertise in tensor networks and quantum simulation algorithms
  • Experience securing SBIR/STTR grants for quantum research
  • Strong background in distributed systems and high-performance computing
  • Demonstrated ability to translate theoretical models into production systems

Required Skills

Quantum Computing Machine Learning Qiskit Cirq Tensor Networks Fault-Tolerant Systems Distributed Computing AI Research

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