Head of Solutions Architecture - AI Infrastructure
San Jose, California, United States · On-site
Senior+$240M raised
Company Description Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learnin…
Skills: Solutions Architecture, AI Infrastructure, Kubernetes, GPU Orchestration, Pre-sales Leadership
Head of Solutions Architecture - AI Infrastructure
San Jose, California, United States · On-site
Senior+$240M raised
Company Description Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learnin…
Skills: Solutions Architecture, AI Infrastructure, Kubernetes, GPU Orchestration, Pre-sales Leadership
Sr. NPI Manufacturing Engineer (MEMORY TEST DIVISION, San Jose, CA)
San Jose, California, United States · On-site
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Senior
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NPI Manufacturing Engineer (MEMORY TEST DIVISION, San Jose, CA)
San Jose, California, United States · On-site
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Senior
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Overview Rambus, a premier chip and silicon IP provider, is seeking to hire an exceptional Lead MTS Application Engineer to join our Memory Interface team in San Jose California. Candidates will be joining some of the br…
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The application window is expected to close on: 09/25/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. This is a hybrid position requiring 3 days a…
The application window is expected to close on: 09/18/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Location: Anywhere in U.S. Meet The Team Cis…
Skills: Program management, Project management, ASIC design, Hardware development, Software development
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San Jose, California, United States · On-site
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Full-time
Posted 4d ago
~40 hrs/week
Responsibilities
You will build and scale a world-class pre-sales organization while leading the architecture strategy for high-value, long-cycle AI infrastructure deals. Additionally, you will serve as the technical voice of the customer to influence product roadmaps and drive strategic partnerships.
Requirements
The role requires extensive experience in leading technical sales teams and deep hands-on expertise with AI/ML infrastructure, specifically NVIDIA hardware and high-speed fabrics. Candidates must demonstrate a proven track record in managing complex B2B enterprise deals and possess strong leadership capabilities.
Full job description
Company Description
Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/
Job Description
About the Role & Mission
AI infrastructure is undergoing a generational shift. Disaggregated, raw GPU hardware must be transformed into multi-tenant, production-ready, and sovereign AI clouds - without locking enterprises into a single hyperscaler or hardware vendor. That is where k0rdent AI by Mirantis comes in.
k0rdent AI serves as the declarative "super control plane" that manages complex, heterogeneous GPU infrastructure from Metal-to-Model™. We are hiring a Head of Solutions Architecture to own the technical win, build our pre-sales organization from the ground up, and lead the architecture strategy on high-value, long-cycle compute deals.
This is not a demo-jockey role. You will be an executive technical partner to NeoClouds, AI-native startups, enterprise AI teams, research labs, and sovereign buyers. You will lead high-stakes architecture debates on interconnect topologies, build TCO models that challenge hyperscaler economics, construct reusable pre-sales machinery, and shape our core product roadmap directly from field intelligence.
What You’ll Own
Build & Scale the Pre-Sales Engine (40%)
Hire, coach, and retain a world-class team of Solutions Architects and Field Engineers; establish the global pre-sales operating model as headcount and deal volume scale.
Build reusable, scalable field assets: discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, and RFP response libraries.
Set a high technical quality bar across the organization; run enablement so every SA can speak credibly to GPU architecture, high-speed fabrics, and container orchestration.
Own the Technical Win in Strategic Deals (40%)
Partner with Account Executives as the technical executive on strategic enterprise opportunities with long sales cycles (6–18+ months) and multi-million-dollar ACV/TCV.
Execute structured qualification (MEDDPICC or equivalent) to map decision criteria, surface economic buyers, and build win plans around technical champions.
Architect end-to-end solutions across compute, networking, storage, and orchestration; deliver sizing, capacity plans, and TCO comparisons vs. public clouds and self-built alternatives.
Design and drive POVs/POCs: define strict success criteria upfront, run performance benchmarks, and convert results into commercial momentum.
Serve as the Technical Voice of the Customer (20%)
Feed structured product, capacity, and feature requirements directly back to product management, engineering, and supply planning teams.
Partner closely with the NVIDIA field ecosystem (Cloud Partner program, reference architectures, joint pursuits) to win strategic accounts.
Influence roadmap prioritization, packaging, and GTM strategy based on real-world field feedback.
By joining us, you will lead the technical field engine behind k0rdent AI, shaping how the world's most innovative companies build and operate GPU-powered infrastructure at scale.
Qualifications
What We’re Looking For
Enterprise Deal Leadership: Proven track record leading technical sales in complex B2B environments, ideally with multi-year committed-capacity or reserved-capacity deal structures.
Player-Coach Leadership: Track record of hiring, developing, and leading Solutions Architecture or Field Engineering teams—with the technical depth to lead the room on hard deals while scaling others to do the same.
Hands-on AI/ML Infrastructure Experience: You have stood up or operated production ML workloads (distributed training and multi-node inference) and deeply understand performance bottlenecks across interconnect, memory bandwidth, I/O, and cluster scheduling.
NVIDIA Stack & High-Speed Fabric Mastery: Fluency across Hopper and Blackwell architectures (H100/H200, GB200 NVL72, B200) and reference systems (DGX, HGX, MGX). Deep understanding of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs.
Strongly Preferred:
Pre-sales or infrastructure leadership experience at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor.
Hands-on experience with cloud-native orchestration for AI: Kubernetes (GPU operators, device plugins), KubeVirt, Metal3/Ironic bare-metal provisioning, and Slurm.
Familiarity with high-throughput parallel/object storage systems for AI pipelines and data center physical constraints (power, cooling, rack density).
Mirantis delivers the fastest path to production AI at scale, with full-stack AI infrastructure technology.
Industry
Software Development
Company size
501-1,000 employees
Founded
1999
Headquarters
Campbell, California
LinkedIn followers
99,832
Total funding
$240M
Mirantis delivers the fastest path to enterprise AI at scale, with full-stack AI infrastructure technology that removes GPU infrastructure complexity and streamlines operations across the AI lifecycle, from Metal-to-Model. Today, all infrastructure is AI infrastructure, and Mirantis provides the end-to-end automation, enterprise security and governance, and deep expertise in Kubernetes orchestration that organizations need to reduce time to market and efficiently scale cloud native, virtualized, and GPU-powered applications across any environment – on-premises, public cloud, hybrid, or edge.
Mirantis serves many of the world’s leading enterprises, including Adobe, Ericsson, Inmarsat, MetLife, PayPal, and Societe Generale. Learn more at www.mirantis.com.
Join Us
Our team is bold and focused, using cutting edge technology to deliver unique outcomes for our customers, and we are contributors and experts in many open source projects and communities, including Lens, Kubernetes and OpenStack. We solve problems for the world’s most successful companies by empowering curiously intelligent minds. Do you have what it takes? https://www.linkedin.com/company/mirantis/jobs/
Offices: 900 E Hamilton Ave, Suite 650, Campbell, California 95008, US · 12301-B Riata Trace Parkway, Suite 150, Austin, TX 78727, US · 3450 N Triumph Blvd, Lehi, Utah 84043, US · Szyperska 14/B6, Poznan, Poznan 61-754, PL · Thamova 16, Prague, Prague 186 00, CZ
Based on 2766 listings with disclosed salaries, most engineering jobs in San Jose, CA pay between $100k–$260k per year. Individual offers vary with seniority, company size, and specialization.
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