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Rdma Gpu Jobs (NOW HIRING)

Cisco

Engineering Product Manager

Milpitas, CA · On-site

$190K - $197K/yr

Preferred : • Expertise in RDMA over Converged Ethernet (RoCE v2), GPUDirect RDMA, GPU cluster interconnect design, and/or lossless Ethernet fabric design. • Direct experience with AI ...

New

CoreWeave

Sr. Engineer, Storage

... as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. • Lead efforts to improve the reliability, durability ...

New

Nvidia

Senior GPU System Architect

Santa Clara, CA · Hybrid

Collaborate with other teams to architect RDMA-capable hardware and define transport layer optimizations for GPU-based large scale AI workload deployments. * Use and modify system models, perform ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

RDMA/InfiniBand optimization experience * Contributions to GPU libraries or frameworks * Low-level debugging skills (PTX/SASS reading) Genmo is an Equal Opportunity Employer. Candidates are evaluated ...

Cohere

Software Engineer, GPU Infrastructure (HPC)

$110K - $144K/yr

... like RDMA, NCCL, and high-speed interconnects. • Troubleshoot and resolve complex issues ... Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and ...

New

CoreWeave

Staff Engineer, Storage Engine

... as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency. • Lead efforts to improve the reliability, durability ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

RDMA/InfiniBand optimization experience * Contributions to GPU libraries or frameworks * Low-level debugging skills (PTX/SASS reading) Genmo is an Equal Opportunity Employer. Candidates are evaluated ...

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Rdma Gpu information

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$42.5K

$123.8K

$175K

How much do rdma gpu jobs pay per year?

As of Jul 13, 2026, the average yearly pay for rdma gpu in the United States is $123,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $142,500.00 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.

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.

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 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
Engineering Product Manager

Engineering Product Manager

Cisco

Milpitas, CA • On-site

$190K - $197K/yr

Full-time

Posted 7 days ago

New

Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

46th of 142 rated electronics manufacturers

Job description

Job Summary:
Cisco is a leader in innovative solutions that empower enterprises and cloud providers. As a Senior Product Manager for the Cisco Nexus Hyperfabric product line, you will influence product roadmaps and collaborate across various teams to drive AI networking solutions.
Responsibilities:
• Define, validate, and publish authoritative reference architectures for AI/ML training fabrics, VXLAN/EVPN, and HPC/ML/AI infrastructure (e.g. at Neoclouds).
• Function as an expert and advisor to product management and engineering, identifying market whitespace and championing strategic Hyperfabric AI product requirements.
• Author landmark technical publications and represent Cisco at premier industry events (e.g., Cisco Live, OCP Summit, GTC).
• Lead deep-dive technical briefings for strategic global accounts and build long-term relationships with ecosystem partners like NVIDIA, AMD, and Intel.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical discipline (PhD is a plus) or equivalent combination of skills and experience.
• 5+ years of product management experience in data center networking, systems engineering, product engineering, pre-sales engineering, or technical marketing.
• 2+ years of expert-level proficiency in VXLAN, EVPN, BGP, OSPF, IS-IS, Segment Routing, and data center fabric build at scale.
Preferred:
• Expertise in RDMA over Converged Ethernet (RoCE v2), GPUDirect RDMA, GPU cluster interconnect design, and/or lossless Ethernet fabric design.
• Direct experience with AI infrastructure platforms and/or cloud native networking, DPDK, Kubernetes and/or service mesh architectures.
• CCNP/CCIE or similar expert-level industry certifications are a plus.
Company:
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press. Founded in 1984, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Cisco Systems

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Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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