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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Infrastructure Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the backbone of Artificial General Intelligence? Nexus Future Labs is seeking a visionary AI/ML Infrastructure Architect to lead our next-generation compute strategy. In 2026, we aren't just optimizing models; we are redefining how machines learn, reason, and scale. You will be at the forefront of deploying autonomous agents and large-scale neural networks.

We offer a competitive compensation package, equity options, and a culture that prioritizes deep work and radical innovation. If you possess a mastery of distributed systems and a passion for the future of AI, we want to meet you.

Why Join Us?
We are building the infrastructure for the next decade of human-computer interaction. Your work will directly impact the scalability and reliability of global AI systems.

Responsibilities

  • Design and implement high-throughput, low-latency inference pipelines for large language models and autonomous agents.
  • Architect scalable Kubernetes clusters optimized for heterogeneous GPU resource allocation and real-time orchestration.
  • Collaborate with research scientists to optimize model weights, quantization strategies, and reduce computational overhead.
  • Implement robust security protocols and encryption standards for autonomous agent communication networks.
  • Drive the technical migration to next-gen specialized hardware accelerators and edge computing nodes.

Qualifications

  • 5+ years of experience in DevOps, SRE, or Backend Engineering with a proven track record in machine learning workloads.
  • Deep expertise in Python, Rust, and container orchestration tools (Kubernetes, Docker).
  • Strong understanding of distributed systems theory, data serialization protocols (gRPC, Apache Arrow), and high-availability patterns.
  • Experience with MLOps frameworks such as TensorFlow Extended (TFX), Kubeflow, or Ray.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Python Kubernetes Rust MLOps Distributed Systems TensorFlow GPU Optimization AWS Docker AI Infrastructure

Ready to Take This Challenge?

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

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