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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Future Systems Architect (2026 Horizon) | San Francisco

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are on the cusp of a technological revolution. At Nexus Future Labs, we are building the foundational infrastructure for the year 2026 and beyond. We are seeking a visionary Future Systems Architect to lead our advanced AI and autonomous systems division. If you are passionate about shaping the digital frontier and solving unsolvable problems, this is your opportunity to define the next era of technology.

Why Join Us?

  • Work on cutting-edge projects that define the roadmap for the next decade.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium San Francisco amenities.
  • Access to state-of-the-art hardware and research facilities.

Join a team of elite engineers, data scientists, and futurists dedicated to pushing the boundaries of what is possible.

Responsibilities

  • Design and architect scalable, high-performance systems capable of supporting 2026-scale data loads and AI inference demands.
  • Lead cross-functional teams in the development of next-generation neural networks and autonomous agent frameworks.
  • Define technical roadmaps and evaluate emerging technologies (e.g., Quantum Readiness, Edge AI) for integration into our core stack.
  • Mentor junior engineers and establish best practices for code quality, security, and performance optimization.
  • Collaborate with product stakeholders to translate futuristic concepts into actionable technical specifications.
  • Conduct rigorous stress testing and failover simulations to ensure system resilience in volatile environments.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Physics, or a related STEM field (PhD preferred).
  • 8+ years of experience in software architecture, with a specific focus on Machine Learning infrastructure and Cloud-native solutions.
  • Deep expertise in Python, C++, and Rust, with proven experience deploying microservices at scale.
  • Hands-on experience with large language models (LLMs), transformers, and generative AI frameworks.
  • Strong understanding of distributed systems, containerization (Docker/Kubernetes), and serverless architectures.
  • Excellent problem-solving skills with a demonstrated ability to innovate in ambiguous environments.
  • Ability to obtain and maintain a security clearance (if applicable) and pass background checks.

Required Skills

Python C++ Rust Machine Learning Deep Learning TensorFlow PyTorch Docker Kubernetes AWS Azure Cloud Architecture System Design AI/ML Engineering

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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