About the Role

FastBytes is hiring a Forward Deployed Engineer on behalf of a leading AI infrastructure company scaling operations across multiple US data center markets. This is a high-impact, client-facing engineering role where you'll embed directly with customers to deploy, integrate, and operationalize AI/ML infrastructure at scale.

You won't be writing tickets from a back office. You'll be on the front lines—working alongside customer engineering teams to get GPU clusters, training pipelines, and inference platforms into production. Fast.

What You'll Do

• Deploy and configure AI/ML infrastructure (GPU clusters, high-performance networking, storage systems) in customer environments—remotely and occasionally on-site
• Serve as the primary technical point of contact between the company and enterprise customers during implementation
• Translate customer requirements into architecture decisions and deployment plans
• Troubleshoot complex issues spanning hardware, networking, orchestration (Kubernetes, Slurm), and ML frameworks (PyTorch, TensorFlow, JAX)
• Build automation tooling, runbooks, and deployment scripts to accelerate future engagements
• Collaborate with product and engineering teams to feed customer insights back into the platform
• Deliver technical onboarding, training, and knowledge transfer to customer teams
• Manage multiple concurrent deployments across different customer environments and timelines

What You Bring

• 5+ years in a systems engineering, solutions engineering, infrastructure engineering, or similar hands-on technical role
• Deep experience with Linux systems administration at scale
• Strong networking fundamentals (TCP/IP, BGP, VXLAN, RDMA/RoCE, InfiniBand)
• Hands-on experience with container orchestration (Kubernetes, Docker) and/or HPC schedulers (Slurm, PBS)
• Familiarity with GPU computing (NVIDIA A100/H100/B200, CUDA, NCCL)
• Experience with at least one major cloud platform (AWS, GCP, Azure) and hybrid/on-prem deployments
• Infrastructure-as-code proficiency (Terraform, Ansible, Pulumi, or similar)
• Scripting/automation skills in Python, Bash, or Go
• Excellent communication skills—you'll be the face of the engineering team with customers
• Self-directed and comfortable operating autonomously in ambiguous, fast-moving environments

Nice to Have

• Experience deploying or managing large-scale ML training runs (distributed training, multi-node GPU)
• Background in data center operations, colocation, or hyperscale environments
• Familiarity with observability stacks (Prometheus, Grafana, Datadog) in infrastructure contexts
• Prior experience in a forward deployed, solutions, or field engineering role at a startup or infrastructure company
• Knowledge of high-performance storage systems (Lustre, GPFS, WekaFS, VAST)

Why This Role

• Remote-First: Work from anywhere in the US with occasional travel for key deployments
• Top-of-Market Compensation: $180K–$250K+ with equity and performance bonuses
• Career-Defining Work: Deploy the infrastructure behind the most important technology shift in a generation
• High Visibility: Direct customer exposure and influence on product direction
• Growth Trajectory: Path to principal engineer, technical lead, or engineering management

About FastBytes

FastBytes.io is a specialty recruiting firm focused exclusively on AI and data center infrastructure talent. We work with hyperscalers, AI startups, colocation providers, and enterprise companies building the physical and software infrastructure powering the AI boom. One profile with FastBytes gives you access to dozens of employers across every major data center market in the US.

Ready to Make an Impact?

If you're an experienced infrastructure engineer ready to work on the front lines of AI infrastructure deployment, we want to hear from you. Apply now to join a team shaping the future of AI computing.