Forward Deployed Engineer (AI Infrastructure)

Location: Seattle; on-site work at customer locations as required, with up to 25% travel

Company

hirify.global builds enterprise software infrastructure for capturing, managing, protecting, and analyzing massive datasets used in AI training and inference across data centers, edge environments, and the cloud.

What you will do

• Work directly with customer architects, operators, and developers to understand large-scale infrastructure challenges.
• Optimize infrastructure throughput, debug complex distributed systems issues, and develop solutions for demanding workloads.
• Translate customer requirements and operational insights into precise technical requirements for core development teams.
• Develop custom API endpoints, automation tools, and scripts to unblock critical customer workflows.
• Own the technical success of strategic deployments from design through production operation and advocate for customer needs in the product roadmap.

Requirements

• 5+ years of experience in a highly technical engineering role such as Forward Deployed Engineer, Resident Engineer, Systems Software Engineer, or Senior Systems Engineer.
• Deep knowledge of distributed systems, high-performance file systems, storage protocols, and performance tuning.
• Strong understanding of InfiniBand, RoCE, and 100GbE+ high-throughput networking.
• Advanced knowledge of Linux architecture, memory management, and kernel mechanics.
• Proficiency in Python and C/C++, including debugging and contributing safely to complex enterprise codebases.
• Strong customer-facing communication, analytical problem-solving, organization, and self-direction.

Nice to have

• Experience operating large-scale AI training environments or HPC clusters.
• Experience with Docker, Kubernetes, PyTorch, or TensorFlow.

Culture & Benefits

• Collaborate globally with engineering teams on hotfixes, roadmap updates, and new builds.
• Work at the cutting edge of AI infrastructure with direct impact on strategic customer deployments.
• Partner closely with customer technical teams and internal core development groups.
• Travel or work on-site at customer locations as required, up to 25%.