Delos Data Inc - Forward Deployed Engineer
Requirements
• 5+ years in a hands-on infrastructure engineering role (forward deployed engineer, SRE, platform engineer, solutions architect, or similar) with direct customer or internal-customer exposure. • Proven AI data center experience: deploying and operating GPU/XPU clusters with high-speed interconnects (InfiniBand/RoCE/Ethernet/NVLink), job scheduling, and training/inference workloads. • Strong software problem-solving skills, including debugging complex distributed systems and writing production-quality scripts and tools in Python and Bash. • Hands-on experience with AI infrastructure software such as Kubernetes, Slurm, Tinkerbell, Canonical MaaS, observability stacks, or infrastructure management platforms. • Deep proficiency with Linux, containers, and APIs. • Track record of working with engineering teams to define and ship features based on field needs. • Clear communicator, comfortable whiteboarding with SREs and briefing senior infrastructure leaders. • Willingness to work on-site with the customer and travel as needed. • Experience as a forward deployed or embedded engineer dedicated to a single large customer. • Experience taking early-stage or pre-launch products into hyperscale, neocloud, or AI lab environments. • Familiarity with inference serving and performance optimization (e.g., KV-cache behavior, disaggregated serving, GPU utilization analysis). • Background with observability stacks (Prometheus, Grafana, OpenTelemetry) and data pipelines for infrastructure analytics. • Prior experience at an AI infrastructure software vendor, GPU cloud provider, networking vendor, or hyperscaler. • Education • Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. • Location • This role is on-site at customer’s office based in Cambridge, UK.
Responsibilities
• Serve as the dedicated technical owner for a strategic customer's production deployment of our software. • Work hands-on in the customer's AI data center environment, including GPU/XPU clusters, high-speed fabrics, schedulers, and orchestration layers. • Lead integration, troubleshooting, performance tuning, and root-cause analysis for production issues. • Guide the customer through software upgrades, cluster expansion, and new feature rollouts. • Build runbooks, integration guides, and automation tailored to the customer's environment. • Build deep working relationships with the customer's infrastructure, SRE, and platform engineering teams. • Turn customer problems into clear technical requirements and work with our engineering team to design and deliver new features. • Write and test code (Python, Bash, APIs) to prototype fixes, integrations, and tooling in the field. • Feed structured insights on bugs, feature gaps, and competitive needs back into product and engineering, and align customer milestones with our product release cycles. • Contribute hands-on technical work to RFPs, RFIs, technical evaluations, and proof-of-concept deployments for new customers. • Help build reference architectures, demo environments, and technical collateral, and represent the company at customer briefings, technical workshops, and industry events as needed.
Benefits
• Target base salary for this role is £115k–£135k per year + equity. Our salary ranges are determined by role, level, experience, and location.
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