Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-enhanced AI systems. This role is not just about solving today's problems—it's about architecting solutions for 2026 and beyond. You'll collaborate with Nobel laureates and industry disruptors to develop algorithms that leverage quantum computing's exponential power, creating breakthrough applications in cryptography, autonomous systems, and predictive modeling. Our Austin campus features state-of-the-art quantum labs and a culture that celebrates intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping hybrid quantum-classical computing solutions
- Develop real-time data processing pipelines for quantum-encrypted systems
- Drive research into quantum neural networks and their practical implementations
- Secure patents for novel quantum-AI integration methodologies
- Mentor junior researchers in emerging quantum computing paradigms
- Present findings at premier conferences including IEEE Quantum Week and NeurIPS 2026
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent industry experience)
- 3+ years developing quantum algorithms or quantum machine learning models
- Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
- Published research in quantum computing or AI (arXiv or peer-reviewed journals)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated experience with quantum error correction protocols
- Strong background in cryptography or information theory
- Ability to secure US government security clearance (required for 2026 projects)