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Remote Electrical Engineer Nvidia Jobs in Oregon

Armada

Electrical Design Engineer

OR · Remote

This role is remote. What You'll Do (Key Responsibilities) * Develop and maintain electrical ... Produce clear engineering documentation: Statements of Requirements, design basis memos, block ...

Armada

AI Infrastructure Supply Chain Lead

OR · Remote

$113K - $142K/yr

Bachelor's degree in Computer Science, Electrical Engineering, or a related technical STEM field ... NVIDIA Tech Fluency: Deep understanding of NVIDIA Blackwell (GB200/GB300) architectures, including ...

H&H

Electrical Designer

Portland, OR · On-site +1

H&H is seeking an Electrical Designer to join the firm's Portland, Oregon, office. This position ... engineering teams to support project delivery * Work effectively with local and remote project ...

NV5

Principal Substation Engineer

$98K - $125K/yr

We have an opportunity for a talented & ambitious electrical engineer to join us as our new Principal Substation Engineer. This position can be remote within the United States. As our Principal ...

NV5

Sr. Substation Engineer

$98K - $125K/yr

We have an opportunity for a talented & ambitious electrical engineer to join us as our new Sr. Substation Engineer. This position can be remote within the United States. As our Sr. Substation ...

SOLV Energy

BESS Engineer III (Remote)

OR · On-site +1

This role is fully remote. Specific location details and expectations will be discussed during the ... Serve as aseniortechnical contributor across electrical, civil, structural,SCADA,and HV engineering ...

SOLV Energy

BESS Engineer I (Remote)

OR · On-site +1

$79K - $99K/yr

Serve as a technical contributor across electrical, civil, structural, SCADA, and HV engineering ... recruiter. #LI-Remote Job Number: J13227 If you're interested in a meaningful career with a ...

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Remote Electrical Engineer Nvidia information

What are some common challenges faced by remote Electrical Engineers at Nvidia, and how can they be effectively addressed?

Remote Electrical Engineers at Nvidia often encounter challenges such as maintaining clear communication with cross-functional teams, staying aligned with hardware development timelines, and accessing specialized lab equipment. To address these, Nvidia provides robust collaboration tools, schedules regular virtual team meetings, and may offer remote access to lab resources or coordinate periodic on-site visits. Proactive communication and strong organizational skills are key to thriving in this remote environment, ensuring projects stay on track and technical issues are resolved efficiently.

What does a Remote Electrical Engineer at Nvidia do?

A Remote Electrical Engineer at Nvidia is responsible for designing, developing, and testing electrical components and systems used in Nvidia's products, such as GPUs, data center hardware, and AI platforms. Working remotely, they collaborate with cross-functional teams to optimize circuit designs, ensure product reliability, and solve complex engineering challenges. These engineers also use simulation tools, review schematics, and contribute to the full product development lifecycle, all while communicating effectively with colleagues across different locations.

What is the difference between Remote Electrical Engineer Nvidia vs Remote Electronics Engineer Nvidia?

AspectRemote Electrical Engineer NvidiaRemote Electronics Engineer Nvidia
Required CredentialsBachelor's in Electrical Engineering, relevant certificationsBachelor's in Electronics Engineering, similar certifications
Work EnvironmentDesign, testing, and development of electrical systemsDesign and testing of electronic components and circuits
Employer & Industry UsageUsed in hardware development, system integrationUsed in circuit design, embedded systems
Common Search & ComparisonOften compared for electrical hardware rolesOften compared for electronic circuit roles

Remote Electrical Engineer Nvidia and Remote Electronics Engineer Nvidia share overlapping skills and work environments, but focus on different aspects of hardware development. Electrical engineers typically work on power systems and larger hardware, while electronics engineers focus on circuit design and embedded systems. Both roles are vital in Nvidia's hardware innovation and are often searched together by professionals in hardware development.

What are the key skills and qualifications needed to thrive as a Remote Electrical Engineer at Nvidia, and why are they important?

To thrive as a Remote Electrical Engineer at Nvidia, you need a strong background in electrical engineering principles, circuit design, and experience with hardware development, typically supported by a relevant engineering degree. Proficiency with CAD tools (such as Altium Designer or Cadence), simulation software, and familiarity with industry standards is usually required, along with certifications like Professional Engineer (PE) being advantageous. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for collaborating with distributed teams and managing complex projects remotely. These competencies ensure high-quality, innovative hardware solutions and seamless teamwork in Nvidia’s fast-paced, technology-driven environment.
What are the most commonly searched types of Electrical Engineer Nvidia jobs in Oregon? The most popular types of Electrical Engineer Nvidia jobs in Oregon are:
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Remote Electrical Engineer Nvidia jobs near you
Principal Software Engineer - Large-Scale LLM Memory and Storage Systems

Principal Software Engineer - Large-Scale LLM Memory and Storage Systems

Nvidia

OR • On-site, Remote

$134K - $180K/yr

Full-time

Posted 23 days ago

Job description

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and reasoning models across multi-node distributed environments. Built in Rust for performance and Python for extensibility, Dynamo orchestrates GPU shards, routes requests, and manages shared KV cache across heterogeneous clusters so that many accelerators feel like a single system at datacenter scale. As large language models rapidly outgrow the memory and compute budget of any single GPU, this platform enables efficient, resilient deployment of cutting-edge LLM workloads.


We are seeking a Principal Systems Engineer to define the vision and roadmap for memory management of large-scale LLM and storage systems.


What you'll be doing:

  • Design and evolve a unified memory layer that spans GPU memory, pinned host memory, RDMA-accessible memory, SSD tiers, and remote file/object/cloud storage to support large-scale LLM inference.

  • Architect and implement deep integrations with leading LLM serving engines (such as vLLM, SGLang, TensorRT-LLM), with a focus on KV-cache offload, reuse, and remote sharing across heterogeneous and disaggregated clusters.

  • Co-design interfaces and protocols that enable disaggregated prefill, peer-to-peer KV-cache sharing, and multi-tier KV-cache storage (GPU, CPU, local disk, and remote memory) for high-throughput, low-latency inference.

  • Partner closely with GPU architecture, networking, and platform teams to exploit GPUDirect, RDMA, NVLink, and similar technologies for low-latency KV-cache access and sharing across heterogeneous accelerators and memory pools.

  • Mentor senior and junior engineers, set technical direction for memory and storage subsystems, and represent the team in internal reviews and external forums (open source, conferences, and customer-facing technical deep dives).

What we need to see:

  • Masters or PhD or equivalent experience

  • 15+ years of experience building large-scale distributed systems, high-performance storage, or ML systems infrastructure in C/C++ and Python, with a track record of delivering production services.

  • Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and experience designing systems that span multiple tiers for performance and cost efficiency.

  • Distributed caching or key-value systems, especially designs optimized for low latency and high concurrency.

  • Hands-on experience with networked I/O and RDMA/NVMe-oF/NVLink-style technologies, and familiarity with concepts like disaggregated and aggregated deployments for AI clusters.

  • Strong skills in profiling and optimizing systems across CPU, GPU, memory, and network, using metrics to drive architectural decisions and validate improvements in TTFT and throughput.

  • Excellent communication skills and prior experience leading cross-functional efforts with research, product, and customer teams.

Ways to stand out from the crowd:

  • Prior contributions to open-source LLM serving or systems projects focused on KV-cache optimization, compression, streaming, or reuse.

  • Experience designing unified memory or storage layers that expose a single logical KV or object model across GPU, host, SSD, and cloud tiers, especially in enterprise or hyperscale environments.

  • Publications or patents in areas such as LLM systems, memory-disaggregated architectures, RDMA/NVLink-based data planes, or KV-cache/CDN-like systems for ML.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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