Rust Jobs for Rustaceans

Key Responsibilities:

• Design, build, and optimize high-performance infrastructure to support large-scale GenAI/ML workloads.
• Develop and maintain reliable, scalable distributed systems for model training, inference, and data processing.
• Collaborate with ML researchers and engineers to productionize models efficiently, focusing on compute utilization, orchestration, and deployment pipelines.
• Own infrastructure monitoring, observability, and cost optimization for GPU/accelerator-based compute environments.
• Evaluate and integrate emerging technologies across cloud and on-prem platforms to improve system performance, reliability, and scalability.
• Ensure robust security, compliance, and operational excellence in GenAI/ML infrastructure.

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
• 3–7 years of experience building and maintaining scalable compute or ML infrastructure systems.
• Deep understanding of distributed systems, container orchestration (Kubernetes), and cloud platforms (e.g., AWS, GCP, Azure).
• Hands-on experience with MLOps and infrastructure tools (e.g., MLflow, Ray, Airflow, Kubeflow, Terraform).
• Proficiency in Python and systems-level programming (e.g., Go, C++, or Rust).
• Strong debugging, performance profiling, and optimization skills across GPU and CPU compute stacks.
• Excellent collaboration and communication skills, with a systems-thinking mindset.
• Commitment to the highest ethical standards.