Job Description
Shape the future at NeuraVision Labs – where quantum computing meets artificial intelligence. We're pioneering breakthroughs in 2026's most transformative technologies, seeking visionary Quantum AI Research Engineers to architect next-gen algorithms. Join our cross-disciplinary team in Austin's vibrant tech ecosystem and contribute to projects that will redefine industries.
Why NeuraVision? Work with cutting-edge quantum hardware, collaborate with Nobel laureate advisors, and enjoy competitive equity packages in a culture that values radical innovation. Our state-of-the-art Austin facility offers flexible hybrid work and unlimited learning opportunities.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for real-world applications
- Develop error-corrected quantum algorithms optimized for 2026 hardware architectures
- Lead cross-functional R&D projects spanning quantum sensing, neural networks, and computational physics
- Translate theoretical quantum AI concepts into deployable solutions for enterprise clients
- Publish high-impact research in top-tier journals and conferences
- Mentor junior researchers and contribute to our patent portfolio
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent industry experience)
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proficiency with Python, TensorFlow/PyTorch, and quantum simulation tools
- Publication record in quantum information science or AI research
- Experience with cloud quantum platforms (AWS Braket, Azure Quantum)
- Deep understanding of quantum error correction and fault tolerance
- Strong problem-solving skills for complex multi-variable optimization challenges