Job Description
We are on the cusp of a new era in artificial intelligence. Nexus Horizon is seeking a visionary Senior AI Architect to spearhead the development of next-generation intelligent systems that will define the landscape of 2026 and beyond. You will be at the forefront of merging neural architectures with neuromorphic computing, building scalable infrastructures for the autonomous web.
Why Join Nexus Horizon?
- Shape the roadmap for AGI (Artificial General Intelligence) technologies.
- Work with top-tier talent in a state-of-the-art facility in the heart of San Francisco.
- Competitive compensation package with equity options.
If you are passionate about pushing the boundaries of what is possible in machine learning and system design, we want to hear from you.
Responsibilities
- System Architecture Design: Design and implement scalable, high-performance AI architectures tailored for 2026 workloads, including large language models and generative agents.
- Neuromorphic Research: Lead research initiatives into neuromorphic computing and spiking neural networks to improve energy efficiency and cognitive processing.
- Model Optimization: Oversee the optimization and deployment of deep learning models across hybrid cloud and edge environments.
- Technical Leadership: Mentor junior engineers and data scientists, establishing best practices for code quality, testing, and ethical AI deployment.
- Future-Proofing: Anticipate emerging trends in quantum computing integration and advise on architectural adaptations for next-gen hardware.
- Stakeholder Collaboration: Translate complex technical concepts into actionable strategies for product and executive leadership.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specifically focused on AI/ML architecture and system design.
- Technical Skills: Deep proficiency in Python, C++, and Rust; extensive experience with PyTorch, TensorFlow, or JAX.
- System Knowledge: Strong understanding of distributed systems, Kubernetes, and cloud-native architectures (AWS/Azure/GCP).
- Future Tech: Familiarity with quantum computing frameworks or neuromorphic hardware is a significant plus.
- Communication: Excellent verbal and written communication skills with the ability to present technical solutions to non-technical stakeholders.