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Senior Technical Marketing Engineer

11 hours, 14 minutes ago
United States
Full-time
Senior
Sales Engineer
Software Development
Kubernetes Linux
Apply Now
MinIO

MinIO

MinIO provides a high-performance, open-source object storage solution that is compatible with Amazon S3 and designed for cloud-native workloads, particularly in the field of artificial intelligence, enabling efficient management of unstructured data a...

Internet Software & Services
51-250
Founded 2014
$126M raised
View All Jobs 10

Description

  • Design, build, and validate reference architectures for AI and analytics deployments.
  • Plan, run, and document performance benchmarks across AIStor and MemKV.
  • Build reproducible demos and proof-of-concept environments across the AI pipeline.
  • Validate and document integrations with inference frameworks, GPU platforms, networking, and partner hardware.
  • Produce technical blogs, deployment guides, solution briefs, and hands-on labs for technical audiences.
  • Partner with external technical teams on joint validation, lab benchmarks, and co-engineered solutions.
  • Develop and deliver technical enablement for sales engineers and account teams.
  • Support complex customer evaluations and proofs of concept with hands-on technical guidance.
  • Present architectures, benchmarks, and demos to technical buyers and architects.
  • Incorporate field and customer feedback 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 of hands-on technical experience in roles such as solutions architecture, systems engineering, sales engineering, performance engineering, infrastructure engineering, or technical marketing engineering.
  • At least 3 years of experience working on AI/ML infrastructure, storage, or data platforms.
  • Strong hands-on systems and infrastructure skills, including Linux, networking, containers, Kubernetes, and distributed storage or data systems.
  • Ability to build demos and test harnesses, write scripts and automation, and design and run reproducible benchmarks.
  • Strong technical writing skills with the ability to explain complex systems clearly and qualify performance claims accurately.
  • Proven ability to work cross-functionally with Engineering, Product Management, and field teams 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 such as vLLM, SGLang, and TensorRT-LLM, and with KV cache behavior and memory tiering.
  • Experience building reference architectures or running lab validation with hardware or ecosystem partners.
  • Background in customer-facing technical roles such as technical pre-sales or developer relations.

Benefits

  • Health care plan including medical, dental, and vision coverage.
  • 401(k) with 3% company contribution.
  • Pre-IPO stock options.
  • At least 12 public holidays.
  • Flexible time off.

Interested in this position?

Apply directly on the company website

Apply Now

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