Senior Technical Marketing Engineer

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Illumination Systems Arizona

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1937

👥 B2C

🛍️ eCommerce

🛒 Retail

B2C • eCommerce • Retail

Illumination Systems Arizona is a company based in Arizona currently preparing its online presence, as indicated by its 'Under Construction' webpage. Alongside this, the site provides related searches for services such as mortgage rates and vacation packages, suggesting a focus on consumer services in the local area.

📋 Description

• Reference Architectures: Design, build, and validate reference architectures that show how MinIO deploys in real AI and analytics environments, including configurations aligned to enterprise and partner architecture standards. Document them so a customer can reproduce the result. • Benchmarking and Performance Validation: Plan, run, and document benchmarks across AIStor and MemKV. Report results with full configuration and workload context, for example aggregate throughput in a stated cluster configuration or microsecond retrieval of cached context, so every number is defensible and repeatable. • Demos and Proofs of Concept: Build reproducible demos and proof-of-concept environments that demonstrate MinIO across the AI pipeline, from ingest and training data lakes to large-context serving and KV cache offload. Make complex capabilities easy to see and easy to rerun. • Integration Validation: Validate and document MinIO's integrations with the modern AI infrastructure stack, including inference frameworks, GPU-accelerated platforms, networking, and partner hardware. Surface what works, what the requirements are, and what the measured impact is. • Technical Content Creation: Produce technical blogs, deployment guides, solution briefs, and hands-on labs aimed at an architect and platform-engineering audience, written in a precise, peer-to-peer register with claims qualified by configuration and workload. • Partner Co-Engineering Support: Work hands-on with partner technical teams on joint validation, lab benchmarks, and co-engineered solutions, supporting the co-engineered, not co-marketed standard with real, reproducible results. • Field and SE Enablement: Build and deliver deep technical enablement for sales engineers and account teams, including technical briefings, demo assets, and deployment guidance, and provide hands-on support in complex evaluations and proofs of concept. • Customer-Facing Technical Engagement: Present architectures, benchmarks, and demos directly to technical buyers and architects, and bring field and customer feedback back into content, demos, and product input.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience. • 5+ years in hands-on technical roles such as solutions architecture, systems or sales engineering, performance engineering, infrastructure engineering, or technical marketing engineering, with at least 3 years working on AI/ML infrastructure, storage, or data platforms. • Strong hands-on systems and infrastructure skills, including Linux, networking, containers and Kubernetes, and distributed storage or data systems. • Ability to build demos and test harnesses, write scripts and automation, and design and run benchmarks that produce reproducible, well-documented results. • Strong technical writing skills, with the ability to explain complex systems clearly to a technical audience and qualify performance claims accurately. • Proven ability to work cross-functionally with Engineering, Product Management, and the field, and to operate independently in a fast-paced, remote-first environment. • Hands-on familiarity with the S3 API, object storage, or high-performance storage for AI and analytics workloads. • Experience with GPU-accelerated AI infrastructure, RDMA networking, GPUDirect Storage, or DPU-based data paths. • Familiarity with inference frameworks and the modern AI serving stack, including frameworks such as vLLM, SGLang, and TensorRT-LLM, and with KV cache behavior and memory tiering. • Experience building reference architectures or running lab validation alongside hardware or ecosystem partners. • Background that includes time in customer-facing technical roles, such as technical pre-sales or developer relations.

🏖️ Benefits

• Health Care Plan (Medical, Dental & Vision) • 401K with 3% Contribution • Pre-IPO Stock Options • At least 12 Public Holidays • Flexible Time Off