Job Description
Shape the Future of Technology
Are you ready to architect the next generation of intelligent systems? Nexus 2026 is looking for a visionary Senior AI & Future Tech Architect to join our elite team in San Francisco. In this pivotal role, you will define the architectural standards for next-generation AI infrastructure, bridging the gap between theoretical research and scalable, real-world application.
We are not just building software; we are engineering the future. If you have a passion for pushing the boundaries of what's possible in 2026 and beyond, we want to hear from you.
Why Join Us?
- Work with cutting-edge AI and Quantum computing technologies.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a state-of-the-art SF hub.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI infrastructure capable of handling massive data streams and complex computations.
- Research Integration: Translate theoretical research from top-tier academic institutions into robust, production-ready software solutions.
- System Optimization: Continuously refactor and optimize neural networks and algorithms to improve latency, accuracy, and resource efficiency.
- Technical Mentorship: Lead a team of talented engineers, conducting code reviews, architecture reviews, and fostering a culture of innovation.
- Cross-Functional Collaboration: Partner with product managers and data scientists to align technical roadmaps with business objectives.
- Risk Management: Identify potential bottlenecks and architectural risks in early development stages to ensure system stability.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: Minimum of 5+ years of experience in software engineering, with at least 3 years focused on Machine Learning and AI systems.
- Programming: Expert-level proficiency in Python, C++, and Rust. Familiarity with TensorFlow, PyTorch, or JAX.
- Systems: Deep understanding of distributed systems, cloud architecture (AWS/Azure), and containerization (Docker/Kubernetes).
- Soft Skills: Exceptional problem-solving abilities and the capacity to communicate complex technical concepts to non-technical stakeholders.