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Quantum AI Research Engineer 2026

Nexus Futura
Austin
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Futura at the forefront of technological revolution as we pioneer the next generation of quantum-AI systems for 2026. This role offers the unique opportunity to shape humanity's digital future by developing hybrid quantum-neural architectures that will redefine computational boundaries. You'll collaborate with Nobel laureates and cutting-edge engineers in our Austin Innovation Hub, where we're building the infrastructure for tomorrow's breakthroughs. Our culture celebrates intellectual curiosity, offers unlimited learning resources, and provides equity in a company valued at $2B+.

We're seeking visionaries who thrive at the intersection of quantum mechanics and artificial intelligence to solve previously impossible challenges in cryptography, materials science, and climate modeling. This isn't just a jobβ€”it's a chance to leave a legacy in the technological landscape of 2026 and beyond.

Responsibilities

  • Design and implement hybrid quantum-classical machine learning algorithms for next-gen AI systems
  • Develop error-corrected quantum circuits optimized for 2026-era hardware constraints
  • Lead cross-functional teams in prototyping quantum-AI applications for Fortune 500 partners
  • Research novel quantum neural network architectures with exponential speedup potential
  • Author breakthrough publications in top-tier journals and conferences
  • Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
  • Drive quantum security protocols for post-quantum cryptographic systems

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science with 3+ years of research experience
  • Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Publication record in quantum machine learning or quantum algorithms
  • Expertise in Python, TensorFlow/PyTorch, and high-performance computing
  • Deep understanding of quantum error correction and fault-tolerant systems
  • Experience with NISQ-era quantum hardware constraints and mitigation strategies
  • Demonstrated ability to lead complex research projects from concept to prototype

Required Skills

Quantum Computing Machine Learning Python Qiskit TensorFlow Quantum Algorithms Error Correction High-Performance Computing

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