Principal Software Engineer, AI Compute Infrastructure

About the role

As a Principal Engineer on the AI Compute Infra team, you will design, build, and operate large-scale infrastructure for AI training, fine-tuning, evaluation, and inference. You will guide work across Kubernetes clusters, accelerator enablement, workload scheduling, high-performance networking, storage, and capacity management, partnering with AI researchers and engineers to improve reliability, performance, scalability, and developer productivity.

Responsibilities

• Build and operate Kubernetes clusters while improving workload scheduling, topology-aware placement, capacity use, and recovery.
• Enable new CPU and GPU systems by integrating and validating drivers, networking, storage, monitoring, and health checks.
• Investigate performance and reliability issues across applications, cloud infrastructure, clusters, and hardware, then turn findings into lasting improvements.
• Partner with AI teams to understand their workloads and automate cluster provisioning, upgrades, monitoring, and maintenance around their needs.

Necessary Skills And Experience

• 8+ years of experience building or operating cloud, compute, HPC, or distributed infrastructure in a production environment.
• Programming experience in Go, Python, or another systems language, with an interest in developing reliable infrastructure software.
• Practical knowledge of Kubernetes, containers, Linux, networking, and storage.
• Experience supporting GPU, accelerator, or distributed machine-learning workloads.
• An ability to troubleshoot complex systems and communicate clearly with engineers from different technical backgrounds.

Preferred Skills And Experience

• Familiarity with Kubernetes scheduling, operators, quotas, or resource management.
• Experience with NVIDIA technologies such as CUDA, NVLink, NVSwitch, NCCL, EFA, or DCGM.
• Knowledge of AWS EKS, Terraform, Argo CD, Helm, Prometheus, or Grafana.
• Familiarity with frameworks such as PyTorch, Ray, vLLM, SGLang, or TensorRT-LLM, or experience qualifying accelerators and tuning distributed workloads.

In Return

You will join a driven group committed to developing world-class AI compute infrastructure. We provide a cooperative setting where your ideas can come to life. Your efforts will directly impact the success of our AI projects, guaranteeing smooth operations and outstanding results. Join us and help build the future of AI compute infrastructure!

Additional Information

Please note that a relocation package (including visa sponsorship support) is available for this role, for candidates who require it.

Pay

Salary Range: $262,700-$355,400 per year. We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.