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.