Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration systems that will redefine computing paradigms. As our Quantum AI Architect, you'll design next-gen neural networks operating at quantum coherence levels, solving previously unsolvable problems in cryptography, drug discovery, and climate modeling. This isn't just a role – it's your chance to shape humanity's digital future.
About the Role:
Positioned in Austin's thriving tech corridor, this hybrid-eligible role offers competitive equity packages, unlimited PTO, and access to our state-of-the-art quantum research lab. You'll lead a cross-functional team of physicists, machine learning specialists, and hardware engineers to deliver breakthrough solutions by Q1 2026.
Responsibilities
- Architect quantum-AI hybrid systems leveraging 100+ qubit processors
- Develop error-correction protocols for quantum neural networks
- Design algorithms for real-time quantum machine learning inference
- Collaborate with hardware teams to optimize quantum-AI co-design
- Lead research in quantum-secure authentication frameworks
- Present findings at IEEE Quantum Computing Summit 2026
- Mentor junior researchers in quantum information theory
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming (Qiskit, Cirq)
- Published research in Nature Quantum Information or equivalent
- Expertise in tensor networks and quantum machine learning
- Proficiency in Python, TensorFlow Quantum, and CUDA
- Deep understanding of quantum error correction codes
- Strong background in topological quantum computing