Employer profile
Material Depot
7 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Strategic Finance
New York, NY | Hybrid | Remote
hybrid Salary not disclosedStrategic Finance New York, NY | Hybrid | Remote About the role Own the capital strategy that funds our compute buildout at scale. Your scope spans asset-backed facilities, project finance, equipment financing, and the institutional relationships across banks, private credit, and infrastructure funds that turn GPU CapEx into a scalable, financeable asset class. What you'll do - Structure asset-backed and equipment financing facilities - Build the underwriting case: unit economics, utilization curves, revenue, residual value - Negotiate term sheets, covenants, and inter-creditor structures with banks, private credit, and funds - Develop SPV and project-finance structures that isolate risk and unlock larger capital pools - Manage the capital stack: senior debt, mezzanine, sale-leaseback, vendor financing, warehouse lines - Own lender reporting, borrowing-base management, and covenant compliance - Build relationships across the institutional debt ecosystem (banks, BDCs, private credit, ECAs) What you'll need - BS from a top program in Finance, Economics, or related field; MBA, CFA, or equivalent preferred - 7+ years in capital markets, project finance, infrastructure finance, or structured credit - Personally closed $50M+ in asset-backed, equipment, or project-finance facilities - Strong command of GPU economics: unit cost, depreciation, utilization, contracted vs spot revenue - Deep modeling skills: cash flow waterfalls, covenant compliance, sensitivity analysis - Active relationships across banks, private credit funds, and infrastructure lenders - Track record negotiating complex term sheets and intercreditor agreements - Experience financing data centers, semiconductors, or other capital-heavy infrastructure - Background at a top-tier bank (GS, MS, JPM), infra fund (Brookfield, KKR,
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Network Engineer
United States - Remote | Remote
remote Salary not disclosedNetwork Engineer United States - Remote | Remote About the role Own the network powering large-scale AI training and inference. Your expertise spans hardware and software including rack design, fabric topology, thermal management, collective communications, telemetry, and performance across thousands of compute nodes. What you'll do - Design rack layouts and cluster topologies - Inform thermal and power planning with facilities teams - Architect the network fabric - Tune collective communications for training and inference workloads - Build telemetry and observability - Drive performance, benchmarking, and incident response What you'll need - BS in CS, EE, or related field, or equivalent production experience - Rack-to-cluster deployment experience: cabling, power, and thermal management - Expertise in network fabric architecture across RoCEv2 and InfiniBand: routing, load balancing, topology, queueing, congestion control, and QoS - Experience tuning collective communications: NCCL, RCCL, or vendor-specific libraries - Experience with network telemetry: NIC counters, switch streaming (gNMI, sFlow, INT), and collective-level metrics - Experience operating large-scale GPU or ASIC clusters in production What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support Equal Employment Opportunity We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.
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Inference Performance Engineer
New York, NY | Hybrid | Remote
hybrid Salary not disclosedInference Performance Engineer New York, NY | Hybrid | Remote About the role Serving frontier models at scale requires solving novel systems problems at every layer of the stack. As an Inference Performance Engineer, you'll own the runtime that turns accelerators into a production serving system, optimizing throughput, latency, and cost across thousands of nodes. You'll work alongside hardware and compiler teams operating at the frontier of AI silicon design. What you'll do - Build and improve the inference runtime - Design scheduling, continuous batching, KV cache, and prefill/decode disaggregation - Implement low-precision kernels and speculative decoding - Drive throughput, latency, and cost per token - Collaborate with hardware teams on kernels, operators, and graph optimizations - Own the OpenAI-compatible API surface and serving protocol - Build benchmarking, profiling, and regression infrastructure What you'll need - BS in CS, EE, or related field, or equivalent experience - Software engineering experience: Rust, Go, Python, or C++ - Understanding of concurrency, memory, and tail latency - Understanding of modern inference: transformers, attention, KV cache, batching, speculative decoding, quantization - Experience with model serving frameworks: vLLM, TGI, SGLang, TensorRT-LLM, llama.cpp, or custom runtimes - GPU or ASIC programming experience: CUDA, ROCm, Triton, or vendor-native toolchains - Experience with low-precision inference (FP8, FP4, INT4) - Profiling and benchmarking experience: Nsight, perf, custom harnesses What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all
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Infrastructure Security Engineer
San Francisco, CA | OnSite
onsite Salary not disclosedInfrastructure Security Engineer San Francisco, CA | OnSite About the role Own infrastructure security across the systems that train and serve frontier models. Your expertise spans supply chain, identity and secrets, multi-cloud Kubernetes, workload isolation, runtime defense, and detection and response across thousands of compute nodes. What you'll do - Audit and harden multi-cloud Kubernetes clusters - Design authorization, admission, and workload isolation policy - Secure the software supply chain from build to deploy - Manage identity and secrets across clusters and accelerators - Protect high-value assets including model weights and training data - Build detection and response tooling for clusters, workloads, and the underlying fabric What you'll need - BS in CS, EE, or related field, or equivalent experience - Software engineering skills: Rust, Go, or Python - Strong Linux internals: namespaces, cgroups, seccomp, capabilities - Deep Kubernetes security: authz, admission, workload isolation, runtime defense - Software supply chain security: SBOM, signing, attestation - Identity and secrets management - Experience protecting high-value assets (model weights, training data, or equivalent) - Track record in detection, response, and threat modeling - Multi-cloud experience: AWS, GCP, Azure, CoreWeave, Crusoe What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support Equal Employment Opportunity We're an Equal Opportunity Employer and do not discriminate on the basis of
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System Security Administrator
Los Angeles, CA | Hybrid | Remote
hybrid Salary not disclosedSystem Security Administrator Los Angeles, CA | Hybrid | Remote About the role Join a tight-knit team supporting the Director of IT. You'll be administering their Microsoft product suite, MDM, endpoint management, threat monitoring, event triage, and raising the security posture of our staff through awareness and training. What you'll do - Administer the Microsoft product suite across identity, email, and compliance - Manage endpoint and mobile device fleets - Monitor threats and triage security events - Maintain network and perimeter security What you'll need - BS in CS, EE, or related field, or equivalent experience - 5+ years in systems engineering experience with a focus on cybersecurity - Microsoft administration: Exchange, Entra ID, Purview, and DLP - Experience with threat and endpoint monitoring: CrowdStrike and Darktrace - Netwrok configuration experience: Fortinet - MDM administration: JAMF - Strong PowerShell and command-line proficiency - Relevant industry certifications or formal education in IT/cybersecurity - Local to the Los Angeles area with reliable transportation - Able to work onsite 4 to 5 days per week What they bring - Competitive salary - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays Equal Employment Opportunity We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.
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Solutions Engineer
San Francisco, CA | Hybrid | Remote
hybrid Salary not disclosedSolutions Engineer San Francisco, CA | Hybrid | Remote About the role Own the technical strategy, execution, and delivery of customer engagements from pre-sales discovery through deployment. You'll partner with Sales to architect AI infrastructure solutions for Frontier labs, startups, and enterprise ML teams, translating customer requirements into production workloads. What you'll do - Own customer POCs: scope, success metrics, architecture, timeline, and production handoff - Deliver technical demonstrations tailored for engineering leaders and executive audiences - Architect solutions across training, fine-tuning, and inference - Map technical requirements to business outcomes - Build deep relationships with customer stakeholders - Build reusable demos, reference architectures, and playbooks - Partner with product and engineering to translate customer needs into roadmap priorities What you'll need - BS in CS, EE, or related field, or equivalent experience - 5+ years in a customer-facing technical role: solutions architect, forward deployed engineer, or product management - Proficiency in one or more programming languages: Rust, Go, or Python - Strong understanding of AI/ML infrastructure: GPUs, distributed training, inference serving - Experience with Kubernetes, Docker, and Slurm - Strong understanding of training, fine-tuning, and inference - Proven ability to run technical evaluations and influence outcomes in complex sales cycles - Excellent communication skills: can explain infrastructure and model behavior clearly to both technical and executive audiences - High ownership and comfort with ambiguity, with strong prioritization across multiple deals and customer threads What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful
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Infrastructure Engineer
United States - Remote | Remote
remote Salary not disclosedInfrastructure Engineer United States - Remote | Remote About the role Own the platform that powers our accelerator cloud. Your scope spans bare-metal provisioning, multi-tenant Kubernetes, SLURM scheduling, control planes, and the automation and observability that keep thousands of compute nodes running as a single production system. What you'll do - Build the control plane and APIs that unify our compute fleet - Own provisioning and lifecycle from rack bring-up to node retirement - Operate the scheduling layer for training and inference workloads - Architect multi-tenancy: isolation, quota, fairness, and accounting - Build automation that eliminates manual operations - Drive reliability, observability, and incident response across the fleet What you'll need - BS in CS, EE, or related field, or equivalent experience - 5+ years in infrastructure, platform, or backend engineering - Advanced software engineering skills: Rust, Go, or Python - Deep understanding of Linux, storage, and distributed systems - Experience with workload schedulers: SLURM, Kubernetes scheduling, or equivalent - Expertise with automation tooling: Terraform, Ansible, Helm - Experience architecting multi-tenant systems - Production SRE experience: on-call, incident response, observability What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support Equal Employment Opportunity We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.