Job Description
Are you ready to architect the future?
Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead our Project 2026 initiative—a next-generation framework designed to revolutionize predictive analytics in the aerospace sector. We are building the infrastructure for tomorrow, and we need a leader who can translate complex algorithms into scalable, real-world solutions.
In this pivotal role, you will define the technical roadmap for our flagship product, ensuring it meets the rigorous demands of high-velocity industries. If you are passionate about pushing the boundaries of what's possible and want to leave a lasting legacy in AI engineering, we want to hear from you.
Why Join Us?
- Impactful Work: Shape the technological landscape for the year 2026 and beyond.
- Top-Tier Team: Collaborate with Ph.D. researchers and industry veterans.
- Equity Package: Competitive stock options for long-term growth.
- Flexible Environment: Hybrid work model based in the heart of San Francisco.
Responsibilities
- Lead System Architecture: Design and oversee the end-to-end architecture for Project 2026, ensuring scalability, security, and high performance.
- Model Deployment: Translate advanced machine learning research into production-ready AI models with zero latency.
- Technical Strategy: Define the technical vision and roadmap, aligning engineering goals with business objectives.
- Team Leadership: Mentor a team of data scientists and engineers, fostering a culture of innovation and continuous learning.
- Stakeholder Communication: Bridge the gap between technical teams and executive stakeholders, translating complex data into actionable insights.
- Optimization: Continuously monitor and optimize model performance, reducing latency and improving accuracy.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
- Experience: 8+ years of experience in software engineering, with at least 4 years in a Lead or Architect role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Cloud Mastery: Proven experience architecting solutions on AWS, Azure, or GCP.
- Leadership: Demonstrated ability to lead cross-functional teams and manage complex projects.
- Problem Solving: Exceptional analytical skills with a track record of solving high-impact technical challenges.