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Overnight Software Engineer Node Js Jobs in Oregon

OR

$172K - $204K/yr

We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and ... Hands-on experience with multi-GPU or multi-node workloads and CUDA-aware distributed execution.

New

Lead and mentor a team of software engineers, guiding technical decisions, conducting code reviews ... Write clean, secure back-end services using Express.js, with a focus on REST APIs, modular design ...

New

OR

$122K - $161K/yr

We are looking for a Senior Software Engineer to lead the bring-up, triage, benchmarking, analysis ... You will lead deep performance and reliability investigations on multi-GPU and multi-node ...

Senior Software Engineer - FTC

OR · On-site +1

$130K - $142K/yr

Solid understanding of client-side technology (CSS/HTML/JS) * Experience with continuous delivery ... software engineering. Physical Requirements and Work Environment * Prolonged periods stationary at ...

OR · On-site

$122K - $161K/yr

As a Senior Staff Software Engineer on our Self-Hosted team, you will own the architecture of ... multi-node topologies, and drive infrastructure cost analysis and optimization. * Define ...

OR

$190K - $250K/yr

Senior Software Engineer, Applications AcuityMD is a software and data platform that accelerates ... tech stacks, including JS, React, TS, GraphQL, Node.js, Python, and SQL. Responsibilities

Junior Software Engineer

OR · On-site +1

$82K - $106K/yr

As a Junior Software Engineer, you'll be paired with a senior engineer who will mentor you as you ... React, Next.js, Phoenix, or similar) * Familiarity with Git and version control workflows * Strong ...

Senior / Staff Software Engineer, Web Tools

OR · On-site +1

$141K - $249K/yr

Qualifications: - Bachelor's degree in Computer Science, Computer Engineering or related ... js, or similar. - Previous experience or passion in UX/design. - Experience with software ...

Sr. Java AWS Developer

Beaverton, OR · On-site

$59.50 - $76/hr

Beaverton, OR Duration : 12+ months only W2- USC/GC Senior Software Engineer As a member of the ... Must be able to use Node.js and involved in Construction of UI using JQuery, AngularJS, Ext.js ...

OR · On-site

$388K - $558K/yr

Our work involves large-scale A/B experiments, the WebView and JS bridge layer that enables web-based games to run inside native clients, and direct collaboration with game developers to define SDK ...

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Showing results 1-20

Overnight Software Engineer Node Js information

What is an Overnight Software Engineer Node Js?

An Overnight Software Engineer Node Js is a software developer who specializes in building and maintaining server-side applications using Node.js and typically works overnight shifts. Their responsibilities often include monitoring and resolving technical issues during non-standard hours, implementing new features, and ensuring the stability and performance of backend systems. This role is essential for companies that require 24/7 technical support or operate in global markets. Working overnight allows businesses to provide continuous service and address urgent issues outside regular business hours.

What are some unique challenges faced by Overnight Software Engineers working with Node.js, and how can they prepare for them?

Overnight Software Engineers using Node.js often face the challenge of limited real-time collaboration with daytime teams, making clear documentation and asynchronous communication skills crucial. They may also be responsible for monitoring critical systems and resolving urgent issues that arise outside regular hours, requiring strong problem-solving abilities and familiarity with incident response processes. Staying updated on ongoing projects and maintaining effective handovers with day shift colleagues helps ensure smooth operations and continuity.

What are the key skills and qualifications needed to thrive as an Overnight Software Engineer (Node.js), and why are they important?

To thrive as an Overnight Software Engineer specializing in Node.js, you need strong proficiency in JavaScript/TypeScript, backend development, asynchronous programming, and experience with RESTful APIs, typically supported by a degree in computer science or equivalent experience. Familiarity with development tools like Git, CI/CD pipelines, Docker, cloud services (AWS, Azure), and knowledge of monitoring systems for after-hours support are essential. Excellent problem-solving, self-motivation, and clear communication skills help you address urgent issues independently while collaborating with remote or distributed teams. These skills and qualities are vital for ensuring reliable, high-quality software performance and rapid resolution of incidents during overnight shifts.
What are the most commonly searched types of Software Engineer Node Js jobs in Oregon? The most popular types of Software Engineer Node Js jobs in Oregon are:
What cities in Oregon are hiring for Overnight Software Engineer Node Js jobs? Cities in Oregon with the most Overnight Software Engineer Node Js job openings:
Software Engineer, DGX Cloud AI Infrastructure

Software Engineer, DGX Cloud AI Infrastructure

Nvidia

OR

$172K - $204K/yr

Full-time

Posted 5 days ago

New


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world's most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run.

In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations.

What you'll be doing:

  • Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads.

  • Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks.

  • Perform root-cause analysis of failures in large distributed environments

  • Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster.

  • Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms.

  • Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams.

  • Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization.

What we need to see:

  • Bachelor's or Master's in Computer Science or a related technical field (or equivalent experience).

  • 3+ years of experience developing software for AI, HPC, or systems-level applications.

  • Hands-on experience with multi-GPU or multi-node workloads and CUDA-aware distributed execution.

  • Backgroun with debugging and scaling distributed systems.

  • Experience debugging and triaging AI applications across the full stack, from the application level toward the hardware.

  • Experience operating workloads in scheduled, containerized cluster environments.

  • Excellent analytical, debugging, and communication skills, and a collaborative approach across teams.

  • Strong Python and C/C++ programming skills.

Ways to stand out from the crowd:

  • Hands-on experience with NCCL and CUDA-aware distributed execution.

  • Deep familiarity with the RDMA software stack (NCCL, IB verbs, UCX, libfabric) and with InfiniBand / RoCE congestion debugging.

  • Experience building acceptance tests, benchmark harnesses, regression gates, or cluster qualification tooling for AI platforms, including MLPerf.

  • Experience diagnosing performance jitter

  • Experience building resilience, fault-detection, or failure-attribution systems for datacenter-scale infrastructure.

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. If you're creative, autonomous, and love a challenge, 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 116,000 USD - 189,750 USD for Level 2, and 140,000 USD - 224,250 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom


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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