Job Description
Shape the Future of Intelligence
Nexus Horizon is pioneering the next era of technological advancement. As a Senior AI Infrastructure Architect, you will be responsible for building the foundational architecture that powers our 2026 vision of autonomous systems and quantum-enhanced machine learning. You will bridge the gap between theoretical AI research and scalable, production-grade engineering.
We are looking for a visionary leader who thrives in ambiguity and is passionate about solving the hardest problems in distributed computing and neural network optimization.
Key Highlights:
- Work on cutting-edge projects that define the industry standard.
- Competitive compensation and equity opportunities.
- Flexible remote-first policies with a presence in San Francisco.
Responsibilities
- Architect and maintain high-performance, scalable AI infrastructure capable of handling exabyte-scale data.
- Design and implement custom neural network libraries optimized for next-generation hardware.
- Lead the migration towards quantum-ready algorithms and hybrid computing models.
- Establish best practices for MLOps, model versioning, and automated deployment pipelines.
- Collaborate with cross-functional teams to integrate AI solutions into consumer and enterprise products.
- Mentor a team of high-performing engineers and data scientists.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related technical field.
- 8+ years of experience in software engineering, with a specific focus on Machine Learning and AI.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Proven track record of designing distributed systems on AWS, GCP, or Azure.
- Experience with quantum computing frameworks (Qiskit, Cirq) or strong interest in emerging hardware acceleration.
- Strong leadership skills with the ability to communicate complex technical concepts to non-technical stakeholders.