Mid Level Senior Infrastructure Architect Jobs
Mid level senior infrastructure architect jobs go to professionals ready to own complex infrastructure projects end to end, mentor junior engineers, and drive architecture decisions with limited oversight. Hiring runs across Technology & Software, Medical Devices, and Artificial Intelligence, with 17% of openings remote or hybrid, and employers like NVIDIA, Philips, and Collabera actively competing for architects at this level now.
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INTRODUCTION
Do you thrive on taking a strategic product from launch to go‑to‑market at scale across the world’s largest customers? NVIDIA is looking for an Infrastructure Solutions Architect to lead deployment and bring‑up of our next‑generation Data Center GPUs and networking platforms. As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and organizational spaces — serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and large‑scale customer deployments. We are looking for Solution Architects to combine hands‑on infrastructure expertise with multi-functional leadership to accelerate adoption of NVIDIA technologies across worldwide cloud hosting providers and large enterprise environments.
ROLE AND RESPONSIBILITIES
- Lead end‑to‑end execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and networking platforms to market at scale.
- Drive strategic partnership and alignment with Product teams to understand roadmap intent, co‑define critical metrics, and ensure unified direction across technical, sales, and leadership organizations.
- Influence without authority across Product, Engineering, Sales, Operations, and CSP customers, driving clarity, alignment, and unblock paths for scale‑up.
- Analyze deployment and performance data, identifying product health trends, system bottlenecks, and operational risks.
- Solve challenging technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions.
- Deliver streamlined executive‑level communication on status, risks, progress, and required decisions.
- Collaborate with Product and Engineering, enabling future improvements in platform design, validation, and operational workflows.
BASIC QUALIFICATIONS
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or similar, or equivalent experience.
- 4+ years experience in Solutions Architecture, Infrastructure Engineering, or similar technical roles.
- Hands‑on experience with bring‑up and validation of large‑scale NVIDIA GPU platforms, including multi‑GPU and multi‑node architectures.
- Understanding of high‑performance networking technologies (e.g., RDMA, congestion control, high‑bandwidth interconnects) and their role in distributed AI workloads.
- Familiarity with NVIDIA system software stacks: CUDA, NCCL, NVSwitch/NVLink, driver behavior, and performance tuning.
- Proficiency with Linux systems tools for identifying issues and evaluating system performance, such as: dmesg, journalctl, lspci, numactl, ethtool, iostat, perf, nvidia-smi, top/htop, ipmitool, container‑level tooling, and related utilities.
- Understanding of server hardware architecture, including PCIe topologies, system firmware, NUMA, BIOS/UEFI configuration, power/thermal envelopes, and memory/subsystem behavior.
- Understanding of BMC/IPMI/Redfish for remote management, hardware health monitoring, and out‑of‑band debugging during early‑stage bring‑up.
- Strong Linux fundamentals across drivers, kernel subsystems, cgroups, containers, and node‑level performance analysis.
- Ability to identify performance bottlenecks at the cluster, node, accelerator, network, or application layer.
PREFERRED QUALIFICATIONS
- Outstanding interpersonal skills and the ability to build clarity and direction across diverse, fast paced technical teams.
- Knowledge of Compute and networking infrastructure (e.g., Instance types, networking primitives, high‑performance communication paths etc) at Hyperscalers or Cloud Service Providers.
- Demonstrated leadership resolving multi‑team infrastructure challenges across engineering, product, and customer groups.
- A consistent record of taking GPU or infrastructure products from pilot to high‑volume deployment in large data center environments.
- Familiarity with modern deep learning, LLM architectures, and distributed training/inference challenges at scale.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2012776
INTRODUCTION
Do you thrive on taking a strategic product from launch to go‑to‑market at scale across the world’s largest customers? NVIDIA is looking for an Infrastructure Solutions Architect to lead deployment and bring‑up of our next‑generation Data Center GPUs and networking platforms. As part of the NVIDIA Solutions Architecture team, we navigate uncharted technical and organizational spaces — serving as the bridge between early platform readiness, cloud engineering teams, product strategy, and large‑scale customer deployments. We are looking for Solution Architects to combine hands‑on infrastructure expertise with multi-functional leadership to accelerate adoption of NVIDIA technologies across worldwide cloud hosting providers and large enterprise environments.
ROLE AND RESPONSIBILITIES
- Lead end‑to‑end execution for Hyperscaler customers to rapidly bring NVIDIA Data Center GPU and networking platforms to market at scale.
- Drive strategic partnership and alignment with Product teams to understand roadmap intent, co‑define critical metrics, and ensure unified direction across technical, sales, and leadership organizations.
- Influence without authority across Product, Engineering, Sales, Operations, and CSP customers, driving clarity, alignment, and unblock paths for scale‑up.
- Analyze deployment and performance data, identifying product health trends, system bottlenecks, and operational risks.
- Solve challenging technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions.
- Deliver streamlined executive‑level communication on status, risks, progress, and required decisions.
- Collaborate with Product and Engineering, enabling future improvements in platform design, validation, and operational workflows.
BASIC QUALIFICATIONS
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or similar, or equivalent experience.
- 4+ years experience in Solutions Architecture, Infrastructure Engineering, or similar technical roles.
- Hands‑on experience with bring‑up and validation of large‑scale NVIDIA GPU platforms, including multi‑GPU and multi‑node architectures.
- Understanding of high‑performance networking technologies (e.g., RDMA, congestion control, high‑bandwidth interconnects) and their role in distributed AI workloads.
- Familiarity with NVIDIA system software stacks: CUDA, NCCL, NVSwitch/NVLink, driver behavior, and performance tuning.
- Proficiency with Linux systems tools for identifying issues and evaluating system performance, such as: dmesg, journalctl, lspci, numactl, ethtool, iostat, perf, nvidia-smi, top/htop, ipmitool, container‑level tooling, and related utilities.
- Understanding of server hardware architecture, including PCIe topologies, system firmware, NUMA, BIOS/UEFI configuration, power/thermal envelopes, and memory/subsystem behavior.
- Understanding of BMC/IPMI/Redfish for remote management, hardware health monitoring, and out‑of‑band debugging during early‑stage bring‑up.
- Strong Linux fundamentals across drivers, kernel subsystems, cgroups, containers, and node‑level performance analysis.
- Ability to identify performance bottlenecks at the cluster, node, accelerator, network, or application layer.
PREFERRED QUALIFICATIONS
- Outstanding interpersonal skills and the ability to build clarity and direction across diverse, fast paced technical teams.
- Knowledge of Compute and networking infrastructure (e.g., Instance types, networking primitives, high‑performance communication paths etc) at Hyperscalers or Cloud Service Providers.
- Demonstrated leadership resolving multi‑team infrastructure challenges across engineering, product, and customer groups.
- A consistent record of taking GPU or infrastructure products from pilot to high‑volume deployment in large data center environments.
- Familiarity with modern deep learning, LLM architectures, and distributed training/inference challenges at scale.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2012776
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Mid Level Senior Infrastructure Architect Jobs: Frequently Asked Questions
How do I get a mid level senior infrastructure architect job?
Position yourself around ownership, not just execution. Highlight projects where you drove design decisions, resolved complex failures, or led cross-functional technical work without constant direction. Concrete outcomes matter more than job titles: infrastructure you scaled, downtime you reduced, or migrations you completed. Tailor your application to show depth in the platforms the employer uses, whether cloud, on-premise, or hybrid environments.
Which companies hire mid level senior infrastructure architects?
Companies hiring mid level senior infrastructure architects right now include NVIDIA, Philips, and Collabera, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers large enterprises with dedicated infrastructure teams, fast-growing technology firms scaling their environments, and managed service providers staffing architects who can own client-facing infrastructure work independently.
Are there remote mid level senior infrastructure architect jobs?
Yes, remote and hybrid options are common at this experience level. About 17% of mid level senior infrastructure architect openings are remote or hybrid as of August 2026, reflecting how broadly infrastructure work can be done off-site. Fully on-site roles tend to appear most often in regulated industries or environments with sensitive physical infrastructure requirements.
How do I move up to a mid level senior infrastructure architect role?
Progression into mid level typically comes from building depth on a focused area, such as cloud networking, data center architecture, or security infrastructure, and then stretching into project ownership. Taking the lead on a migration, a capacity redesign, or a major incident response demonstrates the independence employers expect. Documenting measurable outcomes from that work is what converts experience into a compelling case for promotion or a mid level hire.
Which industries hire the most mid level senior infrastructure architects?
Mid Level senior infrastructure architect roles concentrate in Technology & Software, Medical Devices, and Artificial Intelligence, based on current listings on Migrate Mate as of August 2026. Those sectors tend to drive hiring at this level because they operate large, complex environments where maintaining reliability and scaling capacity requires architects who can take ownership without close supervision.