Job Description
Shape the technological landscape of 2026 as a Quantum AI Research Engineer at Nexus Future Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Join our elite team at the forefront of innovation in Austin's thriving tech ecosystem.
As a key member of our R&D division, you'll develop groundbreaking quantum machine learning algorithms, design next-gen neural networks with quantum-enhanced capabilities, and collaborate with Nobel-caliber scientists. We offer competitive equity packages, flexible work arrangements, and access to state-of-the-art quantum hardware at our Austin Quantum Center.
Responsibilities
- Design and implement quantum algorithms for AI optimization and pattern recognition
- Develop hybrid quantum-classical neural network architectures for 2026-era applications
- Lead research in quantum error correction for large-scale AI systems
- Collaborate with quantum hardware teams to optimize AI workloads on quantum processors
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers and drive innovation in quantum-AI integration
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years industry experience
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in quantum machine learning or quantum neural networks
- Strong background in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware integration and cloud quantum platforms
- Demonstrated ability to translate complex quantum concepts into practical AI solutions