Job Description
We are seeking a visionary Senior AI Infrastructure Architect to join our elite team at Nexus 2026 Labs. In this pivotal role, you will bridge the gap between theoretical quantum computing and practical, scalable AI deployment. If you are passionate about building the digital infrastructure of tomorrow and shaping the technological landscape of the upcoming decade, we want to hear from you.
Why Join Us?
- Work at the forefront of Artificial General Intelligence (AGI) and quantum research.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first policy with a hub in the heart of San Francisco.
Responsibilities
- Architect Next-Gen Systems: Design and implement robust AI infrastructure capable of handling exascale data processing and real-time quantum inference.
- Optimization & Scaling: Lead efforts to optimize machine learning models for latency reduction and high-throughput edge computing environments.
- R&D Collaboration: Partner with research scientists to translate experimental quantum algorithms into production-ready software components.
- System Reliability: Oversee the deployment of Kubernetes clusters and CI/CD pipelines ensuring 99.99% uptime for critical AI services.
- Talent Development: Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Physics, or a related field with a focus on AI/Quantum Computing.
- Experience: 5+ years of experience in software engineering, specifically in Machine Learning Operations (MLOps) or AI Infrastructure.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
- Cloud Mastery: Deep understanding of cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Quantum Literacy: Familiarity with quantum computing frameworks (Qiskit, Cirq) and hybrid classical-quantum algorithms.