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Rdma Gpu Jobs in Austin, TX (NOW HIRING)

Nvidia

Principal Architect, AI Networking

Austin, TX · On-site

Conducting original research and prototyping next-generation networking solutions over RDMA, NVLink, and GPUDirect. * Driving hardware-software co-optimization with GPU, DPU, NIC, and network switch.

Graphcore

Senior Principal Network Engineer

Austin, TX · On-site

... GPU clusters. You will work across hardware, networking, and AI application layers to ensure ... RDMA technologies, advanced automation, and telemetry systems. The Team The Data Center Network ...

Graphcore

AI Platform Architect

Austin, TX · On-site

... RDMA (RoCEv2/InfiniBand) integration. * Orchestration & Containerization: Experience with container orchestration platforms and infrastructure-as-code (IaC) tailored for GPU-heavy bare-metal and ...

Graphcore

AI Platform Architect

Austin, TX

... RDMA (RoCEv2/InfiniBand) integration. * Orchestration & Containerization: Experience with container orchestration platforms and infrastructure-as-code (IaC) tailored for GPU-heavy bare-metal and ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site

$165.50K - $191.30K/yr

... modern GPU cluster storage, including GPUDirect Storage and RDMA data paths, NVMe-oF, hot/warm/cold tiering for training datasets and checkpoints, and high-throughput ingest pipelines Company

Graphcore

Senior Principal Network Engineer

Austin, TX · On-site

... RDMA/RoCEv2 communication. • Lead initiatives to implement NetDevOps practices and develop ... Preferred : • Experience operating large-scale AI or GPU clusters. • Familiarity with network ...

Mirantis

Technical Product Manager, AI Storage

Austin, TX · On-site

$165.50K - $191.30K/yr

Hands-on experience with modern GPU cluster storage, including GPUDirect Storage and RDMA data paths, NVMe-oF, hot/warm/cold tiering for training datasets and checkpoints, and high-throughput ingest ...

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$42.1K

$122.7K

$173.5K

How much do rdma gpu jobs pay per year?

As of May 28, 2026, the average yearly pay for rdma gpu in Austin, TX is $122,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $141,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an RDMA GPU Engineer, and why are they important?

To thrive as an RDMA GPU Engineer, you need a solid background in computer science or engineering, with expertise in GPU architectures, networking protocols, and RDMA (Remote Direct Memory Access) technologies. Familiarity with CUDA, InfiniBand, RoCE, and relevant profiling or debugging tools is typically required. Strong problem-solving, teamwork, and communication skills help in collaborating effectively on complex, performance-critical systems. These skills are crucial for optimizing high-performance computing applications and ensuring efficient data transfer between GPUs and networked devices.

How does an RDMA GPU engineer typically collaborate with software and hardware teams to optimize performance?

As an RDMA GPU engineer, you’ll regularly work alongside both software developers and hardware architects to ensure that high-speed data transfers between GPUs and other components are efficient and reliable. This collaboration often involves troubleshooting bottlenecks, tuning drivers, and optimizing memory access patterns. You may also participate in code reviews, joint debugging sessions, and performance benchmarking to align system-level improvements. Effective communication across multidisciplinary teams is essential to deliver best-in-class solutions for demanding workloads like machine learning or scientific computing.

What are RDMA GPUs?

RDMA GPUs are graphics processing units that support Remote Direct Memory Access (RDMA) technology, enabling direct memory transfers between the GPU and remote devices or other GPUs across a network without involving the host CPU. This technology is commonly used in high-performance computing, AI, and data centers to reduce latency and increase data throughput. RDMA GPUs allow faster data exchange for distributed computing tasks, such as large-scale machine learning training, by bypassing traditional network bottlenecks.

What is the difference between Rdma Gpu vs Network Engineer?

AspectRdma GpuNetwork Engineer
Required CredentialsComputer science or related degree, certifications in GPU computing or high-performance networkingNetworking certifications (CCNA, CCNP), degree in computer science or related field
Work EnvironmentData centers, high-performance computing labs, research facilitiesCorporate offices, data centers, telecommunication environments
Industry UsageAI, machine learning, scientific computing, data analyticsIT infrastructure, network design, security, and maintenance

Rdma Gpu specialists focus on optimizing GPU performance and high-speed data transfer using RDMA technology, primarily in computing and research environments. Network Engineers design, implement, and maintain network systems. While both roles involve high-tech infrastructure, Rdma Gpu roles are more specialized in GPU and high-performance data transfer, whereas Network Engineers focus on network connectivity and security.

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Rdma Gpu jobs near you
Technical Product Manager, AI Cloud Networking

Technical Product Manager, AI Cloud Networking

Mirantis

Austin, TX • On-site

$165.50K - $191.30K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI and machine learning applications. The Technical Product Manager will own the networking strategy and roadmap for k0rdent AI, defining how operators deploy and manage networks across GPU clusters.
Responsibilities:
• Own the vision, roadmap, and priorities for k0rdent AI networking, defining how customers design, automate, and operate every aspect of their network, including underlay fabric management, tenant connectivity, RDMA, DNS/IPAM, and more
• Translate requirements from NeoClouds, GPU clouds, telcos, sovereign clouds, and enterprise platform teams into clear product direction
• Partner with engineering and architecture to define requirements, evaluate trade-offs, and ship secure, scalable, reliable networking capabilities
• Manage the networking backlog, using feedback from production deployments and design partners to refine roadmap priorities and positioning
• Define positioning, packaging, and competitive differentiation for k0rdent AI networking
• Create field-facing assets, including technical briefs, battlecards, and reference architectures; support strategic accounts as the networking product lead
• Represent Mirantis at events, analyst briefings, and customer advisory boards; engage silicon, fabric, and ecosystem partners on reference architecture alignment
Qualifications:
Required:
• 5+ years in product management, technical product management, or a senior technical role owning a networking product, platform, or large-scale automated network
• Hands-on familiarity with BGP, VXLAN/EVPN, VRFs, OVS/OVN, SR-IOV, RDMA/RoCEv2 or InfiniBand, and DNS/IPAM at scale
• Fluency in Linux networking, Kubernetes networking, SDN/overlay networking, hyperscale or service provider networking, or network automation
• Hands-on experience with modern GPU cluster networking, including rail-optimized fabric design, GPUDirect RDMA and collective communication tuning (NCCL, RCCL, NVSHMEM), and DPU/SmartNIC offload
Company:
Mirantis develops cloud infrastructure and container management software for organizations to build, operate, and scale applications. Founded in 1999, the company is headquartered in Campbell, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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