Lead technical discovery sessions and workshops with strategic customers to gather requirements, assess workloads, and align hardware specifications to business goals.
Develop system architectures for diverse setups, including standalone appliances, server-scale clusters, containerized environments (e.g., Kubernetes-based GPU deployments), and full data center integrations.
Present recommendations, tradeoffs, and cost models to both technical and business stakeholders.
Manage RFI/RFP responses, contributing technical details on hardware configurations and integration strategies.
Design systems incorporating the latest GPU and upcoming advancements like next-gen accelerators, focusing on compatibility, performance, and energy efficiency.
Specify power systems, including density planning, redundancy, and integration with facility infrastructure, while evaluating cooling options such as air-based (e.g., hot/cold aisle containment) versus liquid cooling (e.g., direct-to-chip or immersion techniques).
Architect networking solutions, including Ethernet, InfiniBand, or RoCE fabrics, to support high-bandwidth, low-latency requirements for GPU-intensive workloads.
Ensure designs account for reliability, security, and scalability, with a particular focus on containerized platforms like Kubernetes, GPU operators, and multi-tenancy configurations.
Build, maintain, and optimize detailed BOMs, including component selection, pricing, compatibility matrices, and supply chain considerations to minimize risks and costs.
Partner with chip manufacturers, VARs, and server OEMs to source components, negotiate terms, conduct POCs (proof-of-concept), and ensure seamless integration.
Monitor vendor roadmaps for GPU innovations, firmware updates, and hardware trends to inform proactive solution recommendations.
Oversee the implementation of hardware solutions, including rack design, burn-in testing, and performance validation for containerized environments.
Develop deployment runbooks, acceptance criteria, and monitoring strategies to facilitate smooth handoffs to customer operations teams.
Analyze and optimize solutions post-deployment, focusing on metrics like power efficiency, cooling effectiveness, and network throughput to enhance long-term value.
Collaborate with sales and business teams to create pricing strategies, and competitive positioning
Contribute to internal knowledge sharing by developing reference architectures, sizing guides, and best practices for containerized GPU workloads.
Stay ahead of industry trends, such as emerging GPU standards and sustainable data center practices, to refine offerings and support customer growth.

Requirements

7–12 years in hardware solutions architecture, data center design, or similar roles, with proven expertise in specifying hardware for enterprise customers.
In-depth knowledge of current and upcoming GPU technologies, including architecture, programming models, integration (e.g., NVIDIA CUDA, AMD ROCm), and performance optimization.
Strong understanding of power and cooling systems, including air-cooled, liquid-cooled, and hybrid datacenter environments.
Proficiency in networking protocols and topologies, such as high-speed Ethernet, InfiniBand, and fabric management for distributed computing.
Extensive familiarity with Bill of Materials (BOM) creation, including component lifecycle management, cost analysis, and vendor negotiations.
Solid experience with containerized solutions, particularly Kubernetes for GPU-accelerated applications, including operator deployment, resource scheduling, and scaling.
Demonstrated ability to balance technical solutions with business needs, such as developing TCO models, leading customer discussions, and driving deal closures.
Excellent communication and presentation abilities, with a customer-first mindset; capable of simplifying complex technical concepts for non-technical stakeholders.
Bachelor's degree in Computer Engineering, Electrical Engineering, or a related field; advanced degree preferred.

Benefits

Working with a talented and collaborative team to solve the toughest AI challenges through innovation.
Competitive salary
Company investment in training, certifications, and your professional development
Company Bonus Plan
Employee Equity Program
401k Retirement plan with matching
Medical, Dental and Vision Insurance for you and your family
Life Insurance / Disability
Unlimited PTO
13 Paid Holidays
Employee Assistance Program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

hardware solutions architecturedata center designGPU technologiesNVIDIA CUDAAMD ROCmpower systemscooling systemsnetworking protocolsBill of Materials (BOM)containerized solutions

Soft skills

communicationpresentationcustomer-first mindsettechnical solution balancingcollaborationnegotiationleadershipproblem-solvinganalytical thinkingknowledge sharing

Certifications

Bachelor's degree in Computer EngineeringBachelor's degree in Electrical Engineeringadvanced degree preferred