Job Description
We are looking for a visionary Future-Ready AI Systems Architect to lead our research and development initiatives. As we prepare for the technological landscape of 2026, you will define the architectural blueprints for next-generation generative AI, quantum-inspired computing, and autonomous systems. Join a team at the forefront of innovation, building scalable infrastructure that powers the future of human-machine interaction.
Why Join Nexus Horizon?
- Work on cutting-edge projects that define the roadmap for 2026.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a San Francisco hub.
- Access to state-of-the-art computing resources and research tools.
Responsibilities
- Architect Scalable AI Infrastructure: Design and implement robust, scalable distributed systems for training and deploying large-scale machine learning models.
- Define 2026 Roadmaps: Lead the technical strategy for emerging technologies, including Generative AI, Edge Computing, and Neuro-symbolic AI integration.
- Optimize Performance: Continuously improve model inference speeds and reduce latency through advanced hardware-software co-design.
- Lead Innovation Labs: Spearhead R&D initiatives to explore new paradigms in artificial general intelligence (AGI) and human-computer interfaces.
- Technical Mentorship: Guide a team of senior engineers and researchers, fostering a culture of technical excellence and rapid prototyping.
- Cloud & Edge Integration: Architect seamless pipelines connecting on-premise high-performance clusters with global edge networks.
Qualifications
- Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI/ML.
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in Machine Learning Architecture.
- Technical Stack: Deep expertise in Python, C++, CUDA, PyTorch, TensorFlow, and Kubernetes.
- System Design: Proven track record of designing high-availability, low-latency systems at scale.
- Futuristic Outlook: Ability to anticipate technological shifts and translate them into actionable engineering strategies for the 2026 timeframe.
- Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and executive leadership.