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Rdma Gpu Jobs in Reston, VA (NOW HIRING)

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

Deep expertise in enterprise storage, scale-out architectures, AI/HPC infrastructure, NVMe, RDMA, and GPU environments. * Experience designing solutions for classified and hybrid environments.

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

... RDMA fabrics, all-flash storage, and multi-protocol access (S3, NFS, SMB, block). • Architect AI-ready data platforms supporting GPU clusters, large-scale ingestion, and hybrid or air-gapped ...

VAST Data

Systems Engineer, DoD - FSI

Sterling, VA · On-site

Deep expertise in enterprise storage, scale-out architectures, AI/HPC infrastructure, NVMe, RDMA, and GPU environments. * Experience designing solutions for classified and hybrid environments.

DDN

Senior Sales Engineer - US Federal

Washington, DC · On-site

$120 - $180/hr

Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks Innovation & Growth ... TCP/IP, InfiniBand, RDMA * Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)

All JobsRdma Gpu JobsRdma Gpu Jobs in Reston, VA

Rdma Gpu information

See Reston, VA salary details

$44.2K

$128.8K

$182.1K

How much do rdma gpu jobs pay per year?

As of Aug 26, 2026, the average yearly pay for rdma gpu in Reston, VA is $128,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $148,200.00 per year, depending on experience, location, and employer.

What is an RDMA GPU?

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 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 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.

What are popular job titles related to Rdma Gpu jobs in Reston, VA?

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Cities near Reston, VA with the most Rdma Gpu job openings:

Rdma Gpu jobs near you

Staff Storage Engineer, File & Block

Washington, DC • On-site

CoreWeave
IT Services • 51 - 200 employees

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 225 rated it services

Great coworkers

People enjoy working here

Good employer

Learn more about CoreWeaveexternal

$207K - $303K/yr

Full-time

Posted 20 days ago

Job description

What You'll Do:

We're looking for a Staff Storage Engineer to design, build, and operate the file and block storage behind our high-performance AI storage platform. You'll build reliable, scalable, high-throughput systems that power some of the largest and most innovative AI workloads in the world, working closely with infrastructure, compute and platform teams.

About the role: 

  • Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.
  • Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
  • Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
  • Participate in efforts to improve the reliability, durability, and observability of our storage stack.
  • Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
  • Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
  • Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are:  

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience working in storage systems engineering or infrastructure.
  • Strong hands-on experience with object storage or distributed filesystems in production environments.
  • Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
  • Proficiency in a systems programming language such as Go, C++, or Rust.
  • Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
  • Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
  • Strong debugging and problem-solving skills in distributed, high-performance environments.
  • Clear communicator, able to work collaboratively across teams and share technical insights effectively.

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. 

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $207,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

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