--- title: 'Forward Deployed Engineer at Delos Data Inc' canonical: 'https://feeny.ai/job/forward-deployed-engineer-delos-data-inc-cambridge-ym3ff1640191' type: 'job' last_seen: '2026-10-13' --- # Forward Deployed Engineer at Delos Data Inc - **Company:** Delos Data Inc - **Location:** Cambridge, MA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-12 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.ashbyhq.com/delos-data/90eb5c34-33ea-445a-a7a1-0bec19426c05 ## Job description Forward Deployed Engineer - AI ## About us We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors. The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S., Canada, and the U.K. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously. Some Recent Press: https://www.reuters.com/business/delos-data-chip-startup-founded-by-intel-veterans-raises-100-million-ai-networks-2026-09-15/ We are looking for: We are looking for a talented Forward Deployed Engineer to be embedded with one of our strategic customers running our software in production. In this role, you will work hands-on inside the customer's AI data center environment, solving hard deployment and operational problems and turning what you learn into new product features alongside our engineering team. While most of your time will go to this customer, you will also bring your field experience to future customer pursuits, contributing hands-on to RFPs, technical evaluations, and new deployments. We are looking for a "builder" who has built and run AI infrastructure at scale, ideally at a neocloud or frontier AI lab, and who thrives on solving real problems in production. ## Key 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. Required Skills and Qualifications - 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. Desired Skills - 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. ## Compensation Target base salary for this role is £115k–£135k per year + equity. Our salary ranges are determined by role, level, experience, and location. We are an equal opportunity employer. We value a range of perspectives and experiences and make employment decisions based on merit and business needs. We do not discriminate on the basis of legally protected characteristics. Agency Note: We do not accept resumes from agencies or search firms. Please do not forward candidate profiles through our careers page, email, LinkedIn messages, or directly to company employees. Any resumes submitted will be deemed the property of the company, and no fees will be paid in the event the candidate is hired. ## #LI-EW1 ## About Delos Data Inc ## Company Overview - **One-liner**: Delos Data builds a new interconnect architecture and server design purpose-built for AI inference, enabling faster, more scalable inference by eliminating network bottlenecks. - **Entity Type**: Private (Stealth/Seed stage) - **Headquarters**: Palo Alto, California, USA - **Founded**: 2025 - **Founders**: Ed Doe (CEO & Co-Founder), Dan Daly (CTO & Co-Founder) ## Core Business - **Primary Industry**: Semiconductor Manufacturing / AI Infrastructure - **Target Customers**: Hyperscalers, AI infrastructure builders, and enterprises scaling AI inference workloads (B2B) - **Mission/Purpose**: To deliver the world's most capable and responsive intelligence by building an interconnect purpose-built for AI inference, not borrowed from HPC, cloud, or training. ## Products & Services - **Nonstop AI™**: A new cluster architecture and server design that accelerates AI inference through cabled scale-up. It reduces GPU idle time caused by data center interconnect bottlenecks and is designed to flexibly scale to thousands of GPUs, CPUs, and accelerators. - **Delos Server**: Brings scale-up IO to the network fabric, enabling larger scale-up domains for inference. - **Delos Mosaic™**: Software providing fine-grained visibility into the scale-up domain, allowing for real-time inference bottleneck detection and AI workload tuning. ## Market Standing - **Valuation**: Not publicly disclosed (Private, early-stage company) - **Key Metric**: Total funding not publicly disclosed; company is in early access deployment with select customers. - **Notable Investors/Partners**: Not publicly disclosed; company exhibited at NVIDIA GTC 2026 (Booth 150) and will demonstrate at Computex 2026 (Booth J1328). - **Growth Signals**: - Founded in 2025, already has 3 employees with 25% monthly headcount growth. - 7 active job postings as of mid-2026. - Announced Nonstop AI™ architecture in May 2026 with early access deployments. - Exhibited at major industry events (NVIDIA GTC 2026, Computex 2026). - Website traffic growing 39.4% month-over-month. ## Competitive Advantages - **Purpose-built for inference**: Unlike competitors who borrow interconnects from HPC, cloud, or training, Delos Data builds an interconnect specifically designed for AI inference workloads. - **Cabled scale-up architecture**: Enables flexible scaling to thousands of GPUs, CPUs, and accelerators, reducing GPU idle time caused by network bottlenecks. - **Full-stack approach**: Combines hardware (Delos Server), software (Delos Mosaic™), and silicon expertise to deliver a unified system-level solution. - **Ecosystem compatibility**: Built to work within today's GPU and accelerator ecosystems, making adoption easier for hyperscalers and enterprises. - **Founding team pedigree**: CTO Dan Daly and CEO Ed Doe bring deep expertise from leading semiconductor and AI companies. ## Strategic Focus - **Product launch and market entry**: Currently in early access with select customers, with broader availability planned for Q4 2026. - **Scaling the team**: Actively hiring across engineering (system software, DFT, verification, SDET), advanced packaging, and people operations roles. - **Building the brand**: Establishing presence at major industry events (NVIDIA GTC, Computex) to build credibility and attract top talent. - **Targeting hyperscalers and AI infrastructure builders**: The primary customer base for the Nonstop AI™ architecture. ## Why Work Here - **Mission-driven work**: Opportunity to build foundational infrastructure for the next generation of AI, working on a problem the founders describe as "the next leap in AI performance." - **Early-stage impact**: Join a company founded in 2025 with only 3 employees, offering significant ownership and influence over product and culture. - **Hybrid/Remote flexibility**: Roles are listed as both remote and hybrid (Palo Alto, CA and Montréal, QC, CAN), with a "Remote Workspace" designation for many positions. - **Founding team**: Work directly under experienced leadership (CTO Dan Daly, CEO Ed Doe) with deep expertise in semiconductors and AI. - **Cutting-edge tech stack**: Work with Kubernetes, PyTorch, CUDA, SystemVerilog, Python, Terraform, and more across hardware and software domains. - **High-growth trajectory**: 25% monthly headcount growth, active hiring across 7+ roles, and strong momentum from major industry events. ## Sources 1. [delosdata.com](https://delosdata.com/) 2. [builtin.com](https://builtin.com/company/delos-data) 3. [linkedin.com](https://www.linkedin.com/company/delosdata) 4. [delosdata.com/press](https://www.delosdata.com/press/faster-ai-inference-enabled-by-1000x-higher-scale-with-delos-data-nonstop-ai) 5. 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