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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Architect

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the fusion of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine computational boundaries. This role offers the unique opportunity to work in our state-of-the-art Austin facility, collaborating with Nobel laureates and Turing Award winners to build the impossible.

Our team operates at the intersection of theoretical physics and machine learning, developing quantum neural networks that solve previously intractable problems in drug discovery, climate modeling, and materials science. You'll lead projects that push the limits of quantum supremacy while mentoring a diverse team of researchers and engineers.

We offer competitive compensation, equity packages, unlimited learning stipends, and flexible work arrangements. Your work will directly impact humanity's most pressing challenges – from curing diseases to achieving carbon neutrality.

Responsibilities

  • Design and implement quantum machine learning algorithms leveraging 50+ qubit processors
  • Develop hybrid quantum-classical frameworks for enterprise-scale AI solutions
  • Lead research initiatives in quantum error correction and fault-tolerant architectures
  • Create optimization pipelines for quantum neural networks across pharmaceutical and energy sectors
  • Collaborate with hardware teams to co-design quantum processors for specific AI workloads
  • Present breakthrough findings at premier conferences (QIP, NeurIPS, ICML)
  • Mentor cross-functional teams in quantum machine learning principles

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
  • Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum circuit optimization
  • Published research in quantum machine learning or quantum algorithms
  • Proficiency in high-performance computing environments (HPC, GPU/TPU clusters)
  • Deep understanding of quantum error correction protocols and fault-tolerant designs
  • Experience with cloud quantum platforms (IBM Quantum, Amazon Braket, Azure Quantum)
  • Demonstrated ability to translate theoretical concepts into production-ready systems

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Qiskit Cirq Q# Fault-Tolerant Quantum Systems Quantum Error Correction High-Performance Computing Neural Networks Optimization Theory

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