Job Description
Are you ready to architect the reality of 2026 and beyond? FutureScale Systems is seeking a visionary Senior AI & Quantum Infrastructure Architect to lead our next-generation computing division. In this pivotal role, you will define the technical blueprint for scalable, post-silicon AI systems that will power the future of enterprise intelligence.
As a key leader on our team, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications. We are looking for a problem solver who thrives in ambiguity and is passionate about pushing the boundaries of what is possible in artificial intelligence.
Why Join Us?
- Work with a world-class team of engineers and researchers.
- Shape the roadmap for AI systems that will be standard in 2026 and beyond.
- Competitive compensation package and equity options.
- Flexible remote-first culture with access to premium San Francisco amenities.
Apply today to build the future of technology.
Responsibilities
- Architect Next-Gen Systems: Design and oversee the development of scalable AI infrastructure that integrates classical computing with emerging quantum algorithms.
- R&D Leadership: Lead a cross-functional team of researchers and engineers in exploring new paradigms in neural network efficiency and quantum error correction.
- Strategic Roadmap: Define the technical vision and milestones for the company's 2026 product release cycle, ensuring alignment with business goals.
- System Optimization: Implement advanced machine learning pipelines, optimizing for low-latency and high-throughput environments.
- Talent Development: Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
- Client Solutions: Consult with enterprise clients to design bespoke AI solutions that solve complex, real-world problems.
Qualifications
- Education: Master’s degree or Ph.D. in Computer Science, Physics, or a related field (or equivalent professional experience).
- Experience: 8+ years of experience in software engineering, with at least 3 years in a senior architecture role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems. Familiarity with quantum computing libraries (Qiskit, Cirq) is a strong plus.
- Leadership: Proven track record of leading high-performance teams and delivering complex technical projects on time.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and innovate under pressure.