Job Description
Are you ready to architect the technological landscape of 2026? Nexus Future Systems is on the hunt for a visionary Senior AI Infrastructure Architect to lead our R&D division. In this pivotal role, you will not just build systems; you will define the architectural blueprints that will drive our AI evolution into the next era. If you are passionate about the convergence of Generative AI, Quantum Readiness, and scalable cloud architectures, this is your opportunity to leave a lasting legacy.
Why Join Nexus Future Systems?
- Work at the forefront of the 2026 technological vision.
- Competitive compensation package and equity options.
- Flexible remote-first policy with access to state-of-the-art labs in SF.
- Collaborate with a world-class team of engineers and futurists.
We are looking for a leader who thrives in ambiguity and possesses the technical prowess to turn abstract concepts into robust, scalable reality.
Responsibilities
- Architect & Design: Lead the design and implementation of high-performance AI infrastructure stacks tailored for the 2026 production environment.
- System Scalability: Engineer solutions capable of handling petabyte-scale data processing with sub-millisecond latency.
- Future-Proofing: Integrate emerging technologies (e.g., Edge AI, Neural Rendering) into our core architecture to ensure readiness for the 2026 roadmap.
- Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and best practices.
- Collaboration: Partner with product managers and stakeholders to translate business requirements into technical specifications.
- Optimization: Continuously monitor system performance and implement CI/CD pipelines for rapid deployment.
Qualifications
- Education: Master’s or PhD in Computer Science, Engineering, or a related field (or equivalent extensive experience).
- Experience: 8+ years of experience in software engineering, with at least 4 years in a leadership or architect role.
- Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Cloud Mastery: Proven track record of deploying large-scale AI models on AWS, GCP, or Azure.
- Problem Solving: Ability to solve complex technical problems and navigate ambiguity in a fast-paced startup environment.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.