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Infiniband Jobs in Oregon (NOW HIRING)

TCP/IP, InfiniBand, RDMA * Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler) * Aptitude for AI workloads and how storage enables AI innovation * Ability to communicate ...

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Infiniband information

What is Infiniband?

Infiniband is a high-speed, low-latency networking technology commonly used in data centers and high-performance computing environments. It is designed to connect servers, storage systems, and network devices, providing much faster data transfer rates than traditional Ethernet. Infiniband supports scalable bandwidth and efficient communication, which makes it ideal for applications requiring rapid data movement, such as scientific simulations and large-scale database transactions. Its architecture also supports remote direct memory access (RDMA), which further reduces latency and CPU overhead.

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

To thrive as an InfiniBand Network Engineer, you need a strong background in computer networking, Linux system administration, and high-performance computing (HPC) environments, often supported by a degree in computer science or related field. Familiarity with InfiniBand architecture, experience with tools like OpenFabrics Enterprise Distribution (OFED), and certifications such as CompTIA Network+ are valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These abilities are essential for ensuring efficient, reliable InfiniBand network performance in complex HPC or data center environments.

What are the typical responsibilities of an InfiniBand network engineer in a data center environment?

InfiniBand network engineers are primarily responsible for designing, deploying, and maintaining high-performance InfiniBand fabrics that connect servers and storage systems in data centers, especially in HPC (High-Performance Computing) environments. Their daily tasks include monitoring network performance, troubleshooting connectivity or latency issues, and performing firmware and driver updates on InfiniBand switches and host adapters. They also collaborate closely with system administrators and application teams to optimize throughput and ensure reliable, low-latency communication. Additionally, InfiniBand engineers often participate in capacity planning and help scale the network infrastructure to meet growing computational demands.

What is the difference between Infiniband vs Ethernet Network Engineer?

AspectInfinibandEthernet Network Engineer
Required CredentialsNetworking certifications, Cisco, Cisco CCNA, CCNPNetworking certifications, Cisco, CCNA, CCNP
Work EnvironmentData centers, high-performance computing environmentsCorporate networks, data centers, enterprise environments
Industry UsageHigh-performance computing, research institutionsBusiness, telecommunications, enterprise IT
Common Search/ComparisonYesYes

Infiniband and Ethernet Network Engineers both work with network infrastructure, but Infiniband specializes in high-speed, low-latency connections used in data centers and HPC environments. Ethernet Network Engineers focus on standard Ethernet networks used across various industries. While their certifications and skills overlap, their work environments and applications differ significantly.

What are popular job titles related to Infiniband jobs in Oregon? For Infiniband jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Infiniband jobs in Oregon look for? The top searched job categories for Infiniband jobs in Oregon are:
What cities in Oregon are hiring for Infiniband jobs? Cities in Oregon with the most Infiniband job openings:
Infographic showing various Infiniband job openings in Oregon as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Full-time

Re-posted 17 days ago


Job description

Overview

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

"DDN's A3I solutions are transforming the landscape of AI infrastructure." - IDC 

 

"The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments" - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA 

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. 

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. 

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. 

Job Description

As a Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI-designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems.

You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle.

What You'll Do

Customer Engagement

  • Partner with customers to understand their critical data challenges-high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
  • Translate technical requirements into elegant, scalable storage solutions that exceed expectations
  • Act as trusted technical advisor throughout the sales cycle

Solution Design

  • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
  • Design for reliability, resilience, security, and scale-balancing performance with data protection
  • Create BOMs, system architectures, and technical proposals for complex RFPs
  • Conduct live demos, POCs, and performance benchmarking
  • Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks

Innovation & Growth

  • Stay current on AI infrastructure and storage technology trends
  • Collaborate with Product and Engineering teams using field insights
  • Mentor team members and contribute to technical thought leadership
  • Shape product direction based on customer needs

What You Bring

Technical Foundation (All Levels)

  • Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems
  • Knowledge of architectural patterns for reliability, resilience, security, and scale
  • Understanding of storage and data protocols: S3, POSIX, NFS, SMB
  • Familiarity with network protocols: TCP/IP, InfiniBand, RDMA
  • Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)
  • Aptitude for AI workloads and how storage enables AI innovation
  • Ability to communicate technical concepts to both engineers and executives

Entry Level (0-3 years)

  • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
  • Exposure to storage/systems through coursework, internships, or projects
  • Strong analytical and problem-solving skills
  • Customer-facing communication skills

Experienced (3+ years)

  • 3-8+ years in pre-sales, solutions architecture, or technical consulting
  • Proven track record designing storage/infrastructure solutions
  • Hands-on experience with enterprise storage systems
  • Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)
  • Success managing complex technical sales cycles

What Sets You Apart

  • Genuine curiosity about AI and its impact across industries
  • Ownership mindset-you solve problems until they're solved
  • Ability to translate technical complexity into business value
  • Thrive in fast-evolving technology environments
  • Collaborative team player with integrity and empathy
DDN

DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities: 

Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives. 

Success/Achievement Orientation - Delivers quality results consistently. Targets, achieves (or exceeds) measurable results. Sets challenging goals, focuses on critical priorities, and is accountable. 

Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical, realistic, and resourceful. 

Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas, challenges the status quo, and solves problems creatively.

DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

#LI-Remote

Employment Type: FULL_TIME