Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms that redefine computational boundaries in cryptography, drug discovery, and climate modeling. Our Austin campus features state-of-the-art quantum annealers and dedicated AI supercomputing clusters. Collaborate with Nobel laureates and industry disruptors in an environment where your innovations could reshape industries. We offer competitive equity packages, flexible hybrid work, and continuous learning stipends to keep you at the cutting edge.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop error-correction protocols for fault-tolerant quantum systems
- Lead research initiatives in quantum neural networks and algorithm optimization
- Collaborate with hardware teams to translate theoretical models into practical implementations
- Publish breakthrough findings in Nature/Science journals and present at major conferences
- Mentor cross-functional teams in quantum computing principles
- Secure research grants and partnerships with leading academic institutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms for real-world applications
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Deep understanding of quantum information theory and entanglement principles
- Publication record in top-tier quantum computing or AI journals
- Experience with NISQ-era hardware constraints and mitigation strategies
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing