Network Architect jobs
F5 Lab Network Engineer II United States, California, San Jose
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POSITION SUMMARY:
a skilled and motivatedLab Engineerto support the Spokane Product Development Lab. This role plays a critical part in enabling both production systems and flexible testing environments for our Test and Product Development teams. You willbe responsible forsetting up, configuring, and
PRIMARY RESPONSIBILITIES:
Set up, configure, document, andmaintainLinux and Windows systems, network devices, and virtualization platforms in the lab.
network cabling, rack setup, and physical infrastructure planning.
Configure and managenetworking components, including VLANs, routing, switching, andfirewallrules.
Deploy and managevirtualization technologiessuch asVMware, OpenStack, KVM, and XCP-ng
Maintain andoptimizestorage systemsused in lab environments.
Perform regularaudits of configuration and inventory datato ensure accuracy and compliance.
Create andmaintainscripts and toolsto automate lab configuration, provisioning, and usability.
Troubleshoot and resolvelab and network outages, hardware failures, and system performance issues.
Helpdesk ticketsfrom lab users ina timelyand professional manner.
IT and Facilities
Participate in thedesign, monitoring, and improvementof lab services and infrastructure.
Ensure properdocumentationof lab systems, configurations, and operational procedures.
Own and manageend-to-end lab operations, ensuring high availability, scalability, and security of lab environments.
Perform Regular audits of labs – Server racks Power, Stock Maintenance in lab.
Perform other related duties as assigned.
SKILLSAND ABILITIES:
Strong experience in Linux and Windows systems administration.
Hands-on experience with enterprise networking: switch configuration, VLANs, routing protocols, andfirewallrules.
Experience with storage technologies and capacity planning.
Scripting and automation skills using Python, Bash, or similar languages.
Understanding of web technologies including HTTP, HTML, and JavaScript.
Solid grasp of IP networking fundamentals: L2, L3, and L4–L7 protocols.
Ability to troubleshoot hardware and software issues independently.
Experience with lab infrastructure planning, including cabling, power, and cooling.
in virtualization platforms: VMware, OpenStack, KVM, XCP-ng.
Experience with Infoblox for IP address management and DNS/DHCP services.
Familiarity with Network Configuration Manager (NCM) for device configuration backups.
Exposure to switching authentication protocols (802.1X, RADIUS, TACACS).
Experience in datacenterenvironments (production or dev/lab).
QUALIFICATIONS:
Bachelor’s degree in computer science, Engineering, or related field (or equivalent work experience)
-7+ years of experience in enterprise network environments& Physical Lab Understanding
-5+ years of experience with virtualization platforms
Ability to work independently and collaboratively in a team environment.
Experience with python or other scripting is a plus
Strong problem-solving, decision-making, and communication skills
Ability to quickly learn and adoptnew technologies
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
Duties may require occasional work outside normal hours (evenings/weekends).
Work performed in a lab or office environment with regular use of computers and lab equipment.
May involve physical tasks such as racking hardware, cabling, and lifting equipment.
Should be available in on-prem lab location for any Hands-on requirements for Product Development Teams
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $96,000.00 - $144,000.00These jobs might be a good fit
Intel Principal Engineer - Silicon Packaging Architect United States, Texas
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Key Responsibilities:
- Lead the co-design of silicon and package, focusing on DDR PHY and mixed signal IP integration for server SOCs.
- Design bump maps, floor plans, and manage area constraints for PHYs, collaborating closely with packaging technical experts.
- Conduct hands-onpackage extractionsand simulations(signal integrity, power integrity)
- Finalize bump-out, floor plan, and area decisions at the end of tech readiness phases.
- Interface with packaging teams on advanced technologies (e.g., C4 bumps, micro bumps, EMIB, hybrid bonding as needed).
- Focus on design, development, and architecture, not process or materials engineering.
Required Experience:
- Experience in both silicon design (preferably mixed signal/analog) and packaging co-design.
- Background in DDR, SOC, or similar high-speed interface development.
- Hands-on expertise with bump mapping, floor planning, and packaging constraints.
- Proven ability to collaborate across silicon and packaging teams, including risk assessment and simulation.
- Familiarity with advanced packaging technologies (hybrid bonding, EMIB, etc.) is a plus but not required.
- Individual contributor or principal engineer level preferred; management experience is not required.
- Experience at leading companies in advanced packaging and PHY design (e.g., Apple, Broadcom, Qualcomm, Micron, AMD, Nvidia).
- Bachelors in electrical engineering, chemical engineering, mechanical engineering, material science or similar field (Master’s or Ph.D. preferred).
- 10+ years in silicon and packaging co-design
Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US:Unity Senior Architect Adaptive Planning Workday United States, California, San Francisco
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- Lead the design of complex, scalable Adaptive Planning solutions, ensuring data integrity and seamless information flow.
- Lead the technical solutioning for all major FP&A initiatives, from initial discovery and design through to implementation and post-production support.
- Take ownership of and provide hands-on, on-site support for urgent and business-critical production issues, ensuring swift resolution and minimal business disruption. Lead a junior engineer with day-to-day operations and issue resolution.
- Translate complex business requirements into technical specifications and model architecture, ensuring alignment with overall business strategy. Continuously identify opportunities for process improvements and tool optimization for the FP&A and other business teams.
- Serve as a subject matter expert for business stakeholders, troubleshooting process and technical issues in a timely manner, with a focus on upholding best practices.
- Extensive Adaptive experience, including hands-on experience designing, building and maintaining Adaptive Planning models with a proven portfolio of successfully architected and delivered large-scale, high-impact Adaptive Planning projects.
- Deep expertise in data modeling, system integration, and performance optimization within a sophisticated enterprise environment.
- Strong sense of ownership and accountability with the ability to operate at a high degree of autonomy in a fast-paced, dynamic setting.
- Excellent communication skills with the ability to break down complex requirements and explain complex technical designs and trade-offs to diverse audiences
- A strong desire to learn and be curious with new technologies, including opportunities with AI.
- Adaptive Planning Certification
- Background/experience in Financial Planning and Analysis
- Knowledge of LLM and proven experience with implementation of AI features in finance systems/processes
- Relocation support is not available for this position
- Work visa/immigration sponsorship is not available for this position
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$170,000—$210,000 USDNvidia Senior Deep Learning Architect United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you’ll be doing:
Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
Guide development of future generations of artificial intelligence accelerators and systems.
Develop detailed performance models and simulator infrastructure for computing systems accelerating AI training, and implement and evaluate hardware feature proposals.
Collaborate across the company to guide the direction of machine learning at NVIDIA; spanning teams from hardware to software and research to production.
Drive HW/SW co-design of NVIDIA’s full deep learning platform stack, from silicon to DL frameworks.
What we need to see:
PhD in CS, EE or CSEE and 3+ years; or MS (or equivalent experience) and 6+ years of relevant work experience.
Strong background in computer architecture, with a proven track record of architecting features in shipping high-performance processors.
Background in artificial intelligence and large language models, in particular training algorithms and workloads.
Experience analyzing and tuning application performance on state-of-the-art hardware.
Experience with processor and system-level performance modelling, simulation, and evaluation before silicon exists.
Programming skills in C++ and Python.
Familiarity with GPU computing across all layers of the AI stack, from DL frameworks like PyTorch down to CUDA.
You will also be eligible for equity and .
Nvidia GPU Power Architect - New College Grad United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- time type
- Full time
- posted on
- Posted 4 Days Ago
- job requisition id
What you'll be doing:
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
You will help with Performance vs Power Analysis for NVIDIA future product lineup.
Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.
What we need to see:
Pursuing a MSEE/MSCE, or equivalent experience related to Power / Performance estimation and optimization techniques.
Knowledge of energy efficient chip design fundamentals and related tradeoffs.
Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
Familiarity with performance monitors/simulators used in modern processor architectures.
You will also be eligible for equity and .
Nvidia Senior Solutions Architect AI Cloud Services United States, Texas
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- US, CA, Santa Clara
- US, TX, Austin
- US, WA, Seattle
- time type
- Full time
- posted on
- Posted 6 Days Ago
- job requisition id
What you’ll be doing:
Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
7+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
Effective time management and capable of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentation, etc.
Ways to stand out from the crowd:
AWS, GCP, Azure or OCI Professional Solution Architect Certifications
Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)
Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
Solid working knowledge of Python
System-level experience, specifically GPU-based systems
You will also be eligible for equity and .
Nvidia Solutions Architect AI Infrastructure United States, Texas
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- US, CA, Santa Clara
- US, TX, Remote
- US, CO, Remote
- US, WA, Remote
- US, CA, Remote
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you'll be doing:
Working with NVIDIA AI Native customers on data center GPU server and networking infrastructure deployments.
Guiding customer discussions on network topologies, compute/storage, and supporting the bring-up ofserver/network/clusterdeployments.
Identifying new project opportunities for NVIDIA products and technology solutions in data center and AI applications.
Conducting regular technical meetings with customers as a trusted advisor, discussing product roadmaps, cluster debugging, and new technology introductions.
Building custom demonstrations and proofs of concept to address critical business needs.
Analyzing and debugging compute/network performance issues.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or related fields, or equivalent experience.
5+ years of experience in Solution Engineering or similar roles.
System-level understanding of server architecture, NICs, Linux, system software, and kernel drivers.
Practical knowledge of networking - switching & routing for Ethernet/Infiniband, and data center infrastructure (power/cooling).
Familiarity with DevOps/MLOps technologies such as Docker/containers and Kubernetes.
Effective time management and ability to balance multiple tasks.
Excellent communication skills for articulating ideas and code clearly through documents and presentations.
Ways to stand out from the crowd:
External customer-facing skills and experience.
Experience with the bring-up and deployment of large clusters.
Proficiency in systems engineering, coding, and debugging, including C/C++, Linux kernel, and drivers.
Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (e.g., DPU or equivalent experience, RoCE, InfiniBand), and/or ARM CPU solutions.
Familiarity with virtualization technology concepts.
You will also be eligible for equity and .
POSITION SUMMARY:
a skilled and motivatedLab Engineerto support the Spokane Product Development Lab. This role plays a critical part in enabling both production systems and flexible testing environments for our Test and Product Development teams. You willbe responsible forsetting up, configuring, and
PRIMARY RESPONSIBILITIES:
Set up, configure, document, andmaintainLinux and Windows systems, network devices, and virtualization platforms in the lab.
network cabling, rack setup, and physical infrastructure planning.
Configure and managenetworking components, including VLANs, routing, switching, andfirewallrules.
Deploy and managevirtualization technologiessuch asVMware, OpenStack, KVM, and XCP-ng
Maintain andoptimizestorage systemsused in lab environments.
Perform regularaudits of configuration and inventory datato ensure accuracy and compliance.
Create andmaintainscripts and toolsto automate lab configuration, provisioning, and usability.
Troubleshoot and resolvelab and network outages, hardware failures, and system performance issues.
Helpdesk ticketsfrom lab users ina timelyand professional manner.
IT and Facilities
Participate in thedesign, monitoring, and improvementof lab services and infrastructure.
Ensure properdocumentationof lab systems, configurations, and operational procedures.
Own and manageend-to-end lab operations, ensuring high availability, scalability, and security of lab environments.
Perform Regular audits of labs – Server racks Power, Stock Maintenance in lab.
Perform other related duties as assigned.
SKILLSAND ABILITIES:
Strong experience in Linux and Windows systems administration.
Hands-on experience with enterprise networking: switch configuration, VLANs, routing protocols, andfirewallrules.
Experience with storage technologies and capacity planning.
Scripting and automation skills using Python, Bash, or similar languages.
Understanding of web technologies including HTTP, HTML, and JavaScript.
Solid grasp of IP networking fundamentals: L2, L3, and L4–L7 protocols.
Ability to troubleshoot hardware and software issues independently.
Experience with lab infrastructure planning, including cabling, power, and cooling.
in virtualization platforms: VMware, OpenStack, KVM, XCP-ng.
Experience with Infoblox for IP address management and DNS/DHCP services.
Familiarity with Network Configuration Manager (NCM) for device configuration backups.
Exposure to switching authentication protocols (802.1X, RADIUS, TACACS).
Experience in datacenterenvironments (production or dev/lab).
QUALIFICATIONS:
Bachelor’s degree in computer science, Engineering, or related field (or equivalent work experience)
-7+ years of experience in enterprise network environments& Physical Lab Understanding
-5+ years of experience with virtualization platforms
Ability to work independently and collaboratively in a team environment.
Experience with python or other scripting is a plus
Strong problem-solving, decision-making, and communication skills
Ability to quickly learn and adoptnew technologies
PHYSICAL DEMANDS AND WORK ENVIRONMENT:
Duties may require occasional work outside normal hours (evenings/weekends).
Work performed in a lab or office environment with regular use of computers and lab equipment.
May involve physical tasks such as racking hardware, cabling, and lifting equipment.
Should be available in on-prem lab location for any Hands-on requirements for Product Development Teams
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $96,000.00 - $144,000.00These jobs might be a good fit
