Job Description
We are on the precipice of a technological revolution. Nexus Future Labs is seeking a visionary Senior AI & Quantum Systems Architect to lead the infrastructure for the year 2026. If you are passionate about pushing the boundaries of generative AI, neural interfaces, and quantum computing, this is your opportunity to shape the future.
In this role, you won't just maintain legacy systems; you will architect the foundation for a post-silicon era. You will bridge the gap between theoretical breakthroughs and scalable production environments, ensuring our platforms are ready for the demands of the next decade.
Why Join Us?
- Impactful Work: Build the backbone of next-gen intelligence.
- Future-Proofing: Work on cutting-edge tech with a clear roadmap to 2026.
- Top-Tier Compensation: Competitive salary and equity packages.
- Remote-First Culture: Flexible work arrangements for top talent.
Responsibilities
- Architect Next-Gen AI Infrastructure: Design scalable, fault-tolerant systems for large-scale generative AI models and quantum-enhanced algorithms.
- Lead R&D Integration: Collaborate with quantum physics researchers to integrate quantum error correction protocols into classical cloud architectures.
- Neural Interface Optimization: Develop low-latency pipelines for brain-computer interface (BCI) data processing and real-time feedback loops.
- Strategic Roadmapping: Define technical roadmaps and architectural standards that align with the company's 2026 product vision.
- High-Performance Computing: Oversee the deployment of HPC clusters and optimize GPU/TPU resource allocation for training runs.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field with a focus on advanced mathematics.
- Experience: 7+ years of experience in software architecture, with at least 3 years specifically in AI/ML system design or quantum computing integration.
- Technical Proficiency: Deep expertise in Python, C++, and Rust. Strong understanding of deep learning frameworks (PyTorch, TensorFlow) and distributed systems.
- Cloud Mastery: Proven track record architecting on AWS, GCP, or Azure with a focus on serverless and containerized technologies.
- Problem Solving: Exceptional ability to solve complex, ambiguous problems and translate theoretical research into production-ready code.
- Communication: Excellent verbal and written communication skills for cross-functional collaboration with researchers and product managers.