Job Description
Are you ready to define the future?
Nexus Horizon Systems is seeking a visionary Senior AI Architect to lead the architectural vision for Project 2026. This is not just a job; it is a mission to engineer the next decade of artificial intelligence and quantum-ready infrastructure. We are looking for a technical leader who thrives on solving complex problems and building systems that scale to unimaginable heights.
As a key member of our elite R&D team, you will shape the core architecture of our proprietary AI models, ensuring they are robust, scalable, and secure for global deployment. You will work at the intersection of deep learning, distributed systems, and cloud-native engineering.
Why Join Project 2026?
- Work on the cutting edge of AI development.
- Competitive compensation and equity packages.
- Flexible remote-first culture with premium office amenities in SF.
- Opportunity to mentor the next generation of engineering talent.
Responsibilities
- Architectural Leadership: Design and oversee the development of scalable, high-performance AI infrastructure and distributed systems for Project 2026.
- Model Optimization: Lead initiatives to optimize deep learning models for inference speed and resource efficiency on heterogeneous hardware.
- Cloud Strategy: Define and implement cloud-native strategies using AWS or Azure, ensuring seamless integration and scalability.
- Security & Compliance: Establish rigorous security protocols and data governance frameworks to protect sensitive proprietary data.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and software engineers to translate business requirements into technical solutions.
- Technical Mentorship: Guide and mentor junior engineers and mid-level architects, fostering a culture of continuous learning and innovation.
- Roadmap Planning: Contribute to the long-term technical roadmap, identifying emerging technologies that align with Project 2026 goals.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field (PhD preferred).
- Experience: 8+ years of experience in software engineering and machine learning architecture.
- Technical Skills: Extensive proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
- System Design: Deep understanding of distributed systems, microservices, and containerization (Kubernetes, Docker).
- Cloud Expertise: Proven track record designing solutions on major cloud platforms (AWS, GCP, Azure).
- Quantum Awareness: Familiarity with quantum computing concepts and their potential impact on future AI architectures.
- Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.