Why join Upscale AI
Upscale AI is building the high-performance infrastructure powering the next generation of artificial intelligence. Backed by over $300M in funding and rapid global adoption, we are scaling systems designed for the world’s most demanding AI workloads.
We focus on first-principles engineering across silicon, systems, and networking—where performance, scale, and execution are critical. Our team is talent-dense and high-performing. We value ownership, technical rigor, and speed, and we offer the opportunity to work on foundational problems with immediate, real-world impact.
If you’re looking to do high-impact work, move fast, and help define the infrastructure behind the future of AI—Upscale AI is where you can produce meaningful work at the frontier—and operate at a high standard.
About the Role
We are seeking a highly technical and hands-on Senior / Principal Technical Marketing Engineer (TME) to drive solution development, validated designs, and technical content for next-generation AI data center architectures. This role is ideal for someone who has built AI labs from scratch, deployed NVIDIA or AMD GPU clusters, worked with Spectrum & BRCM-based fabrics, and has direct experience designing solutions like Cisco HyperFabric, or NVIDIA Reference Architectures (DGX/HGX/EGX).
You will own the technical voice of our products—bridging engineering, sales, partners, and customers through compelling solution guides, demos, labs, and competitive insights.
Key Responsibilities
Solution Development & Validated Designs
Architect and publish validated designs, reference architectures, and best-practice blueprints for AI training/inference clusters across NVIDIA and AMD GPU platforms.
Build and maintain hands-on AI system labs including DGX/HGX/EGX servers, MI300/MI450 systems, RoCE-based fabrics, SONiC networking, storage, and orchestration tools.
Model and document performance outcomes: throughput, latency, congestion behavior, ECN tuning, and telemetry.
Technical Marketing & Evangelism
Create high-impact solution briefs, whitepapers, technical blogs, videos, and conference content
Lead customer-facing deep dives, POCs, bake-offs, and scaling studies.
Produce competitive analysis
Cross-Functional Collaboration
Work closely with Product Management, Engineering, and Sales Engineering to translate real customer needs into product features and roadmap inputs.
Partner with ecosystem vendors
to align solution positioning.
Drive interoperability testing across GPU nodes, NICs/DPU, high-speed fabrics, storage arrays, and cluster management tools.
Demo & Lab Ownership
Build automated AI cluster demos showcasing training, inference, RoCE congestion recovery, adaptive routing, telemetry pipelines, and multi-tier ML fabrics.
Own the technical readiness of field demos, GTM workshops, and executive briefings.
Required Qualifications
7–12+ years in Technical Marketing, Solutions Engineering, or Data Center Architecture roles.
Hands-on experience building AI labs with NVIDIA GPUs (DGX/HGX), or AMD GPU systems (MI300 series) and scale out networking switch systems.
Strong understanding of AI networking: RoCEv2, ECN/RED/WRED, PFC, DCB, adaptive routing, telemetry, collectors (WJH/NetQ).
Experience with Cisco HyperFabric, or NVIDIA Enterprise Reference Designs is strongly preferred.
Deep understanding of AI cluster topology: leaf/spine, super-spine, scale-out (Ethernet/InfiniBand), and storage fabrics.
Proficiency with Linux, containers, Ansible/Terraform, SONiC/NetQ
Strong writing and communication skills: able to convert deep technical content into clear, consumable materials.
Preferred Qualifications
Experience with SONiC, UFM, CloudVision, or Nexus Dashboard.
Familiarity with workload benchmarking: MLPerf, microbenchmarks, NCCL tuning, or distributed training tooling.
Exposure to optical interconnects (800G/1.6T, CPO, linear drive optics).
Prior background in customer-facing technical leadership roles (TME, SE, Architect).
Ability to present comfortably to both executives and deep technical audiences.
What Success Looks Like
Publish validated designs that customers can deploy out-of-the-box.
Deliver compelling demos that clarify complex AI system behaviors.
Become a recognized subject-matter expert for GPU clusters and AI networking.
Accelerate customer adoption by producing trustworthy, actionable technical guidance.
Where you fall within that range depends on your experience, skills, and impact—we benchmark against internal levels to keep things fair and consistent.
Equal Opportunity
Upscale AI is building a team that reflects a wide range of perspectives, backgrounds, and experiences. We’re proud to be an Equal Opportunity Employer and consider all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, disability, or veteran status.
Accessibility & Accommodations
We’re committed to making our hiring process accessible to everyone. If you need accommodations at any stage, just reach out to us at [email protected]—we’re happy to help. Note: This inbox is only for accommodation requests.
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