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Host Networking For Hyperscalers Segment Sales Director in United States

59 active opportunities · Updated October 2026

Explore current host networking for hyperscalers segment sales director jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

N
📍 Santa Clara, United States
✓ High-confidence listingCompany trend -8%
Quick readStrong listing-quality and freshness signals

We are now looking for a dynamic business leader to grow NVIDIA's Host Networking business for AI infrastructure with AI Labs and Hyperscalers! This leader will drive strategic direction, customer engagement, and multi-year growth for networking products such as NVIDIA DPUs, SuperNICs, and their associated software and ecosystem. Success in this role will be measured by the level of adoption and integration of our Host Networking products with our end customers' workflows and workloads. Success is contingent upon building trust with executives, architects, product leaders, and platform teams across NVIDIA and our largest customers. This leader will lead the go-to-market motion, connecting customer AI factory needs to NVIDIA's networking portfolio and aligning product, sales, engineering, architecture, marketing, and partner teams to secure design wins and scale deployments. What you'll be doing: Identify, develop and close strategic design wins for DPU and SuperNIC with top AI labs and Cloud Service Providers! Build and implement the segment sales growth strategy for host networking across hyperscaler and frontier model AI labs building large scale AI infrastructure. Define customer-specific DPU and SuperNIC value propositions and deployment motions, and lead a matrixed team across product, architects, engineering, sales and marketing teams. Promote NVIDIA host networking products externally and internally, positioning their value for AI workloads and other infrastructure products from NVIDIA, in a collection of use-cases in Networking, Security and Storage. Build a robust opportunity pipeline with segment sales and account teams, including account mapping, customer requirements, proof points, executive engagement, and partner alignment. Track and drive quarterly business reporting, forecast accuracy, design-win progress, roadmap asks, and

AIProcurement
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -8%

We are looking for a Senior System Software Engineer, Software Defined Networking to design, build, and operate highly performant and scalable SDN solutions for NVIDIA's AI Clouds hosting GPU-accelerated workloads — including hyperscale multi-node training, inference, cloud gaming, and cloud functions. This role spans the full lifecycle of our SDN stack — from designing and developing new control and data plane software to ensuring operational excellence in production through reliability engineering, CI/CD, observability, and incident response. What you'll be doing: Design and develop next-generation multi-tenant cloud SDN control and data plane software (OVS, OVN, OpenFlow) Build Infrastructure-as-a-Service virtual network orchestration and services using gRPC and REST to support tenant workload security and performance SLAs for BMaaS, VMaaS, and Kubernetes Drive upstream contributions to OVN-Kubernetes and related open-source projects Develop software for network observability — monitoring, telemetry, intelligent metering, and performance analysis Operate and support OVS-OVN based SDN solutions in large-scale NVIDIA AI Cloud environments Own end-to-end observability for the SDN stack — build and maintain monitoring, alerting, distributed tracing, and dashboarding to ensure real-time insight into network health, performance, and tenant SLAs Design, enhance, and maintain CI/CD pipelines (GitLab) across Linux host networking, OVS, OVN, and Kubernetes CNIs Implement GitOps approaches or related experience for secure, seamless integration with cloud infrastructure Drive reliability through incident management, resource monitoring, and performance tuning<

PythonAWSAzureGCP
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads. This team is responsible for ensuring networking is never the bottleneck to model training efficiency, cluster reliability, or fleet expansion. They design and operate the systems that provide predictable, high-throughput, low-latency connectivity across some of the world’s most advanced AI infrastructure. About the Role We’re looking for engineers to help build and operate the networking foundation behind OpenAI’s frontier AI systems. Depending on your background and area of focus, you may work across host networking, datacenter fabrics, or global WAN infrastructure. The problems span low-level systems software, distributed infrastructure, protocol readiness, observability, performance engineering, automation, and large-scale network operations. You’ll work on systems where microseconds of latency, tail performance, and network reliability directly impact model training efficiency and production serving performance. This role is ideal for engineers who enjoy operating close to the hardware/software boundary and solving performance-critical infrastructure problems at massive scale. In this role, you will: Design, build, and operate networking systems that support large-scale AI training and inference infrastructure Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems Develop automation for provisioning, configuration management, validation, upgrades, and lifecycle management of networking infrastructure Build tooling and observability systems for network health, performance analysis, debugging, and automated remediation Optimize network performance across technologies such as RDMA, RoCE, InfiniBand, Ethernet, and high-perf

PythonAWSLinuxRest
I
📍 Oregon, Hillsboro, United States
✓ High-confidence listingCompany trend +315.4%
Quick readStrong listing-quality and freshness signals

Job Details: Job Description: Join an enthusiastic team of engineers in Intel's Networking Solutions Group (NSG) focused on enabling next generation of programmable Infrastructure Processing Units (IPUs) with our lead customers as part of the Customer Experience Support (CES) organization. Intel brings decades of leadership in networking, virtualization, packet processing, storage, and security to a new class of IPU products that accelerate host networking functions and support emerging use cases such as security, virtualization, storage, load balancing, and data path optimization. Working closely with major cloud service providers and Intel development teams, you will help deliver customized IPU based solutions that enhance isolation, security, performance, storage and system management for our customers. A big part of the day-to-day job is to help customers manage feature request processes, enable solutions, and debug issues. Projects and responsibilities include but are not limited to: • Gain our customers' trust, understand their needs, and build POCs to meet them. Work closely with internal and external partners to understand use cases and requirements. • Be the go-to technical resource for customers building complex Datacenters, AI infrastructure as well as helping them understand performance characteristics for solutions. • Prepare and deliver technical content to customers including presentations, workshops, etc. • Contribute across the full IPU lifecycle, including board and platform bring up, low-level device initialization, OS driver and kernel configuration, system management, feature enablement, use case testing, debugging, and verification. • Defines systems implementation and integration solutions and plans to ensure optimum performance and reliability across hardware, firmware and software w

DockerGitLinuxAI
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA. This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation. In this role you will: Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components. Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality. Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction. Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries. Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization. Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities. Work with external vendors where needed to integrate technologies and drive issues to resolution. Contribute across the systems sof

PythonAWSLinuxRest
N
📍 Santa Clara, United States
✓ Quality checkedCompany trend -8%

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next-generation block storage capabilities and architects a proprietary distributed file system solution from its inception. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow. At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play. What you’ll be doing: 100% hands-on coding role in C language, Kernel and Userspace Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader. Research, design, implement and test, new and existing, distributed storage services and features of NVIDIA’s block and file storage solution, in both Host and DPU environments. Acquire understanding of the algorithms, the technicalities and the interaction with other components across NVIDIA’s block and file storage ecosystem. Analyze and solve challenging bugs and customer cases in la

B
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -79.1%

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building its own GPU infrastructure for large-scale inference. As we move into large scale, high-density NVIDIA systems, the hardest failures are intermittent, cross-layer, and difficult to prove: RoCE congestion, InfiniBand stalls, ECN/DCQCN mis-tuning, bad optics, RNIC issues, host kernel stalls, GPU driver problems, and workload symptoms that look like network problems, but are not. We are hiring a Lead Software Engineer to build a first-class observability and root-cause analysis system for GPU fabrics. This is a hard distributed systems problem, not a dashboarding problem. The system will collect high-volume signals from switches, hosts, active probes, and inference services; reduce and correlate them in real time; understand topology and service ownership; and produce actionable diagnosis while an incident is still unfolding. This role sits at the boundary between networking and inference software. RDMA data paths, GPUDirect transfers, prefill/decode disaggregation, KV cache movement, request routing, and workload backpressure can all create fabric symptoms or hide real fabric failures. The goal is to tell an operator, quickly and with evidence, whether an incident is caused by the fabric, host, NIC, GPU, RDMA path, scheduler, or serving layer — and what to do next. EXAMPLE INITIATIVES Real-time telemetry engine — Build the ingestion, reduction, storage, and query path for high-cardinality fab

KubernetesMachine LearningAIGo
DC
📍 New York, New York, United States· Full-time
✓ High-confidence listing

From $131K/yr

Quick readStrong listing-quality and freshness signals

Role Overview You’re a seasoned Site Reliability Engineer who loves owning complex infrastructure, making things run faster, safer, and with less manual effort. In this Staff‑level role, you’ll design and operate VMware‑based private cloud platforms that power mission‑critical SaaS products used by customers around the world. You’ll work across Linux, Windows Server, networking, storage, and automation frameworks to increase reliability, reduce toil, and modernize a global datacenter environment. You’ll have the scope to set technical direction, build automation at scale, and mentor engineers while staying hands‑on with VMware vSphere, F5/AVI load balancers, and hybrid Active Directory. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture, deployment, and ongoing optimization of VMware vSphere–based private cloud infrastructure across multiple global datacenters. Design and build automation using PowerShell/PowerCLI, Ansible, Python, and CI/CD tools to streamline provisioning, configuration, and compliance. Administer, harden, and troubleshoot Linux (RHEL/CentOS/Ubuntu) and Windows Server environments that host enterprise and SaaS workloads. Integrate and manage Active Directory for authentication, access control, and service accounts across hybrid on‑prem and cloud environments. Partner with network and security teams to manage firewalls, VPNs, storage, and load balancers (F5 BIG‑IP, AVI/NSX Advanced Load Balancer) for highly available services. Document architectures and runbooks, participate in on‑call and change management, and mentor engineers while influencing long‑term reliability and automation strategy. These are the essentials you’ll need to get an interview 10+ years of experience in systems or infrastructure engineering, including operating large‑scale enterprise or SaaS datacenter environments. Deep hands‑on expertise with VMware vSphere (ESXi, vCenter, DRS, HA, vMotion, distributed switches) in production

PythonAWSAzureCI/CD
R
📍 San Mateo, CA, United States· Full-time
✓ High-confidence listingCompany trend -100%

From $345K/yr

Quick readStrong listing-quality and freshness signals

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This is a battle-tested GPU expert role focused on the machine management layer and above: how GPU hosts are made production-ready, kept healthy, and turned into reliable compute for the workloads that depend on them. You will own the hard problems that show up only at scale, from driver and firmware management to GPU health, reliability, and performance across a rapidly growing fleet of accelerators spanning Roblox data centers and cloud environments. You will set the technical direction for GPU compute and up-level the entire organization's GPU expertise. You will: Serve as the GPU technical leader for the Compute team, partnering across Kubernetes, Machine Bootstrap, Networking, and Cloud to drive GPU strategy end to end. Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal, NVLink and fabric faults). Architect how GPU capacity is exposed to compute platforms, including scheduling, isolation, and integration with Ku

AWSKubernetesGitAI
A
📍 San Francisco, United States· Full-time
✓ High-confidence listingCompany trend -98.8%

From $156K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. About Airbnb Host Community Airbnb creates opportunities for millions of hosts to build a business, develop connections with guests and hosts, and positively impact local communities. The strength of the global Host community sets Airbnb apart. We keep hosts at the center of everything we do. The Airbnb Community team treats hosts as partners by fostering connection, supporting their development and success, and incorporating their feedback in our product and policies. About the Role The Senior Host Development Lead is an experienced leader responsible for the creation and execution of global educational programs and systems that inspire and empower Airbnb hosts to grow their business and deliver high quality hospitality. This role collaborates cross-functionally to build strategy, define scope, and lead execution of initiatives that support host onboarding, continuous learning, and long-term development throughout the host journey. Aligned with Airbnb’s highest-priority company goals, these initiatives take the form of scalable solutions—such as in-product content, webinars, workshops, articles, and online toolkits—designed to meet diverse learning styles and contexts in a way that is globally consistent and locally relevant. Each educational touchpoint is conceived as part of a broader, holistic system that shapes host success through education and recognition. Responsibilities: Drive the vision and strategy of key host education programs across the host lifecycle, from onboarding to long-term optimization. Manage the end-to-end strategy, design, and execution of scaled host education initiatives

AIGoExcelMarketing
O
📍 San Francisco, California, United States· Full-time· Remote
✓ Quality checkedCompany trend -80.2%

About the Team Security is foundational to OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security organization protects OpenAI’s technology, people, and products by building and operating deeply technical systems that must work reliably at massive scale. Our work underpins OpenAI’s commitments around safety, privacy, and security across research, products, and emerging platforms. The Host Assurance team exists to make bare metal and VMs dependable & scalable foundations for OpenAI: secure by default, verifiable in practice, and resilient across providers and operating models. We operate at the trust boundary between hardware and cloud-scale orchestration, ensuring that hosts are eligible to safely run workloads with predictable security properties and auditability. About the Role OpenAI is seeking a Software Engineer, Host Assurance to build and operate the services, APIs, and host software that establish and maintain trust in our compute infrastructure. You will own production software from design and implementation through testing, rollout, observability, and operation. Your work will support capabilities such as machine identity, certificate issuance and enrollment, secure bootstrap, and host attestation across bare-metal and VM environments. Success in this role requires strong technical judgment, the ability to reason across software and host-system boundaries and learn unfamiliar parts of the stack, and a practical mindset for building systems that are secure, reliable, and usable in fast-moving production environments. The systems you build will sit on the critical path of OpenAI’s frontier infrastructure investments and will directly shape how large amounts of compute are brought online - securely, responsibly, and at global scale - underpinning long-lived commitments around privacy, security, and reliability. You will partner closely with infrastructure, research, and confidential computing initiatives—inc

AWSRestAIGo
A
📍 United States· Full-time
✓ High-confidence listingCompany trend -98.8%

From $168K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb is redefining the world's approach to accommodation and travel. We are creating highly local, personal and authentic experiences for our host and guest community around the world. Our platform connects millions of people a year and furthers our mission to create a world where anyone can belong anywhere. To power the global Airbnb community, we are building a world-class payments platform - one that currently supports 191 countries, 63 currencies, connects dozens of payment providers and banks, and processes billions of dollars per year for all of Airbnb’s business units. As the platform grows, we’ll be adding new payment partners, establishing licensed payments companies around the world, and building innovative payment experiences and financial products for our guests and hosts. Our goal? To create a future where transparent, simple, and familiar payment solutions can empower people, entrepreneurs and communities on our global marketplace. The Difference You Will Make: Airbnb is seeking an experienced and strategic Payment Partnerships Manager to drive the vision, execution, and ongoing performance of our partner network supporting how we pay out to our global host community across 200+ markets. Reporting to the Head of Payment Partnerships, this role is pivotal in managing the partnerships that ensure our hosts are paid reliably, efficiently, compliantly and in alignment with our growth and platform goals. You will lead business development, deal negotiation, and strategic relationship management for a portfolio of high-value payment partners. With a focus on impact a

O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team Security is foundational to OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security organization protects OpenAI’s technology, people, and products by building and operating deeply technical systems that must work reliably at massive scale. Our work underpins OpenAI’s commitments around safety, privacy, and security across research, products, and emerging platforms. The Host Assurance team exists to make bare metal a dependable, scalable foundation for OpenAI: secure by default, verifiable in practice, and resilient across providers and operating models. We operate at the trust boundary between physical hardware and cloud-scale orchestration, ensuring that hosts are eligible to safely run workloads with predictable security properties and auditability. About the Role OpenAI is seeking a Security Engineer, Host Assurance to help build the trust foundations for bare-metal platforms across OpenAI’s global infrastructure. This is a deeply hands-on engineering role for a builder who can design, implement, and operate the core security infrastructure that establishes trust in hardware platforms before they are eligible to run workloads. Success in this role requires strong technical judgment, the ability to work comfortably at low levels of the stack, and a practical mindset for building systems that are secure, reliable, and usable in fast-moving production environments. The systems you build will sit on the critical path of OpenAI’s frontier infrastructure investments and will directly shape how large amounts of compute are brought online - securely, responsibly, and at global scale - underpinning long-lived commitments around privacy, security, and reliability. You will partner closely with infrastructure, research, and confidential computing initiatives—including novel hardware platforms and emerging deployment models– to make the secure path the easiest path. This role is well suited for engineers who enjo

AWSRestAgileAI
B
📍 Berkeley, United States
✓ High-confidence listingCompany trend +515.8%
Quick readStrong listing-quality and freshness signals

Experienced Engineering Technical Specialist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking Experienced Engineering Technical Specialists (Level 3) to join the team in Berkeley, MO. This position supports Risk Managed Framework compliance across multiple avionics test labs as well as the administration of embedded PCs and host PCs on avionics test benches. The Lab Infrastructure team is responsible for the design, modification, and troubleshooting of all test benches used in the avionics' lab to support systems integration testing on the F-15. Position Responsibilities Build and configure embedded PCs and host PCs on test benches Support RHEL 9 Installation, configuration, patching and maintenance of Linux server environments Support containerization Provide active directory management and file server management Troubleshoot user problems related to hardware, software, or processes Conduct monthly OS patching and anti-virus updates Create user accounts and reset passwords Run backups on workstations and servers Maintain compliance with Risk Managed Framework and NISPOM rules Keep facility signage up to date Maintain lab access list Travel may be required up to 10% of the time; domestically and/or internationally depending on business needs. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Basic Qualifications (Required Skills/Experience) <ul

LinuxRecruitment
P
📍 New York, United States
✓ High-confidence listingCompany trend +671.4%

$106K – $176.6K/yr

Quick readStrong listing-quality and freshness signals

ROLE SUMMARY This laboratory-based leadership role will lead upstream process development for both mammalian cell culture and microbial fermentation platforms within Vaccines Early Bioprocess Development (EBPD). The incumbent will provide scientific and people leadership for the design, planning, execution, and interpretation of experiments supporting recombinant protein and vaccine antigen production. The role requires strong expertise in upstream process development, including host and cell-line evaluation, media and feed optimization, bioreactor process development, and integration of product yield and quality considerations. The successful candidate is expected to bring deep expertise in at least one platform, mammalian cell culture or microbial fermentation, together with demonstrated knowledge of and ability to lead programs across the other platform. Responsibilities include application of high-throughput and scale-down models, Design of Experiments (DOE), process characterization and modeling, scale-up, technology transfer, and development of processes suitable for good manufacturing practice (GMP) manufacture. Experience with automated and conventional bioreactor systems, such as ambr, stirred-tank bioreactors, and rocking-motion bioreactors, is highly valued. The role requires rigorous documentation, clear communication of data and recommendations, effective cross-functional collaboration, and a proven record of scientific and team leadership. ROLE RESPONSIBILITIES · Provide scientific and people leadership for the upstream process development workstream spanning mammalian cell culture and microbial fermentation within the Vaccines EBPD Process Development group. · Lead the design, prioritization, execution, documentation, and communication of complex studies to improve cell growth, recombinant protein expression, prod

AIRecruitment
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