Job Description
Are you ready to architect the future? Apex Quantum Systems is looking for a visionary Lead AI Architect to spearhead our strategic initiatives for 2026. In this role, you will define the computational infrastructure that powers the next generation of autonomous intelligence.
We are not just building software; we are engineering the world of 2026. You will work at the intersection of deep learning, quantum-inspired algorithms, and scalable distributed systems. Join a team of elite engineers dedicated to pushing the boundaries of what is possible in artificial intelligence.
Why join us?
• Competitive base salary and performance bonuses.
• Equity package for key contributors.
• Access to cutting-edge hardware and research facilities.
• Remote-first flexibility with a premium San Francisco office.
Responsibilities
- Define the 2026 Technology Roadmap: Lead the architectural strategy for core AI models, ensuring scalability and future-proofing for the 2026 release cycle.
- System Design & Optimization: Build high-performance distributed computing systems capable of handling petabyte-scale data streams with low latency.
- Talent Development: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Algorithm Research: Investigate and implement cutting-edge optimization techniques to improve model inference speed and accuracy.
- Technical Strategy: Collaborate with C-level executives to align technical roadmaps with long-term business goals.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field from a top-tier university.
- Experience: Minimum of 8 years of experience in AI/ML engineering, with a proven track record of leading large-scale projects.
- Technical Expertise: Deep expertise in Python, PyTorch, TensorFlow, and CUDA.
- System Architecture: Strong understanding of distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
- Visionary Mindset: Demonstrated ability to anticipate industry trends and adapt the tech stack for the year 2026.