Systems Design Eng - AI Cluster Software Engineer

About the role

This is a hands-on role for a full-stack developer to create and deliver a range of tools and applications focused on design and deployment of large-scale AI/ML clustered infrastructure. You will be working with the latest agentic tools and patterns to develop, deploy, and maintain these applications. You'll join a growing team of multi-disciplined engineers that operates across industry verticals as subject matter experts in the AI stack and across the cluster.

Key responsibilities

• Partner with engineering peers, domain experts in adjacent teams, and business stakeholders to understand requirements and translate them into flexible, future-proof design solutions
• Hands on development, iteration, and maintenance of tools and applications that codify various aspects of large-scale AI cluster design stages and cluster deployment activities
• Design and development of cohesive interface code between disparate third party tools
• Own features from requirements and design through deployment and ongoing maintenance
• Work in an iterative software environment, including planning and delivering work in small increments, collaborating with stakeholders, often in different areas of domain expertise (Agile development practices)
• Participate in code reviews and retros; adapt to changing requirements and priorities

Requirements

• Demonstrated use of AI coding assistants and LLM-powered developer tools: daily user of AI agents and tools
• Professional software development experience, including substantial experience building and supporting web applications
• Proficiency in modern frontend development using JavaScript or TypeScript and a framework such as React, Angular, or Vue
• Experience developing backend services and APIs using a modern server-side language or framework
• Experience deploying and operating applications using Linux, containers, CI/CD, and cloud or on-premises infrastructure
• Experience with automated testing, source control, code review, debugging, and production support
• Working knowledge of web application security, authentication, authorization, and secure secrets handling

Preferred experience

• Strong Linux fundamentals: Linux operating systems, networking, filesystems, containers, performance tooling (perf, flamegraphs, nvprof/rocprof, basic eBPF)
• Clear communication: ability to turn complex systems into accessible, structured documentation with diagrams and reproducible steps
• AMD ecosystem experience: ROCm, RCCL, Instinct GPUs, EPYC platforms, compiler/toolchain impacts, and performance tuning
• Orchestration models: Slurm configuration patterns, Kubernetes for HPC/AI (GPU operators, device plugins), Apptainer/Singularity
• Automation, IaC, and scripting tools/languages (Ansible, Terraform, Python, bash)
• Storage/data: knowledge of or familiarity with parallel filesystems (Lustre, BeeGFS), object stores, RDMA, data pipeline throughput and caching strategies
• Hands-on familiarity with on-premises infrastructure, particularly for AI/ML/HPC workloads would be beneficial

Academic credentials

Bachelors or Masters degree in computer science, or software/computer engineering

Locations

• Austin, TX
• Santa Clara, CA
• Secaucus, NJ
• Seattle, WA

This role is not eligible for visa sponsorship.