Job Description
Join Nexus Futura Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computing paradigms. As a Quantum AI Research Engineer, you'll architect next-generation neural networks operating at quantum coherence scales. Our multidisciplinary team collaborates with MIT and Caltech to develop error-corrected quantum processors integrated with generative AI models. This role offers unparalleled access to our $500M R&D lab and equity participation in our IPO-bound trajectory.
Responsibilities
- Design quantum circuits for machine learning acceleration at 10,000+ qubit scales
- Develop hybrid quantum-classical AI frameworks for real-time anomaly detection
- Implement error-correction protocols for fault-tolerant quantum neural networks
- Lead cross-functional sprints with quantum hardware and AI teams
- Author peer-reviewed publications for Nature Quantum Computing
- Prototype novel algorithms leveraging quantum entanglement for predictive analytics
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (MS + 3yrs exp)
- Published research in quantum machine learning or quantum error correction
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Experience with superconducting qubit architectures (IBM/Google)
- Expertise in high-performance computing clusters (HPC)
- Deep understanding of quantum supremacy benchmarks
- Portfolio demonstrating quantum-AI integration projects