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Remote Nvidia Engineering Jobs in Oregon (NOW HIRING)

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Remote Nvidia Engineering information

What is a remote Nvidia engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

What are the key skills and qualifications needed to thrive as a remote Nvidia engineer, and why are they important?

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What is the difference between Remote Nvidia Engineering vs Remote Nvidia Data Scientist?

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

What are the most commonly searched types of Nvidia Engineering jobs in Oregon? The most popular types of Nvidia Engineering jobs in Oregon are:
What are popular job titles related to Remote Nvidia Engineering jobs in Oregon? For Remote Nvidia Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Engineering jobs in Oregon look for? The top searched job categories for Remote Nvidia Engineering jobs in Oregon are:
Remote Nvidia Engineering jobs near you

Senior Development Operations Engineer (DevOps)

Rapta, Inc

Lake Oswego, OR • Remote

$133K - $171K/yr

Full-time

Posted 14 days ago

Job description

Senior Development Operations Engineer (DevOps)

Full-Time Position | Remote (US)

About Us

Rapta is revolutionizing American manufacturing with our AI-powered vision systems. Our cutting-edge software platform expands manufacturing capacity 30% by reducing errors 90%+ and automating quality control and inspection processes. We\'re looking for a talented senior development operations engineer to join our mission and make a real impact.

Position Overview

We\'re seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at edge sites across customer manufacturing floors. This is a full-time remote position working directly with our engineering team to harden our release process, drive deployment automation, and pioneer LLM-driven test generation and validation at Rapta.

What You\'ll Do

  • Own and evolve the end-to-end release pipeline — branching strategy, build orchestration, artifact promotion, and rollback — across our Bazel monorepo and Python deployable units
  • Design and maintain Ansible-driven fleet automation for heterogeneous Linux edge nodes (Ubuntu LTS, NVIDIA driver stacks, Docker with NVIDIA runtime)
  • Manage all update tooling, currently written in Golang
  • Build LLM-powered automated testing systems: test generation from specs, flake triage, log/failure analysis, regression diffing, and release-note synthesis from commit and ticket history
  • Harden CI/CD for offline and bandwidth-constrained deployment targets (airgap wheel distribution, signed artifacts, deterministic builds)
  • Drive observability for releases — deployment telemetry, version drift detection, and post-deploy health validation across the fleet
  • Mentor engineers on release hygiene, reproducible builds, and infrastructure-as-code practices

What We\'re Looking For

  • 10+ years of professional experience in release engineering, DevOps, or SRE roles shipping production Linux systems
  • Deep curiosity for software, infrastructure, and applied AI — particularly using LLMs as production engineering tools, not just chat assistants
  • Expert-level Python (3.8+) with a strong grasp of packaging, dependency resolution, and PEP 440 versioning discipline
  • Demonstrated ownership of Linux fleets at scale — kernel, systemd, networking, package management
  • Excellence in technical communication, runbook authorship, and post-incident documentation
  • Strong systems thinking — comfortable reasoning about failure modes across hardware, OS, container, and application layers

Required Technical Skills

  • Expert proficiency with Ansible (roles, dynamic inventory, idempotent design); working knowledge of Terraform
  • Expert proficiency with Docker, including creation and lifecycle management of containers, image hardening, registry management and installing & configuring the NVIDIA container runtime
  • Production experience with Linux administration: systemd, networking (VLANs, DHCP, DNS), kernel/driver management (especially NVIDIA/DKMS), package and APT internals
  • Strong Python skills focused on tooling, automation, packaging (wheels, pip, private indexes), and subprocess/CI integration
  • Proficiency with Git workflows, branching strategies, and modern CI/CD systems (GitHub Actions, GitLab CI, or equivalent)
  • Experience designing and operating automated test infrastructure — unit, integration, hardware-in-the-loop, and end-to-end
  • Practical experience using LLMs (Anthropic, OpenAI, or local) as part of engineering workflows — test generation, code review augmentation, log analysis, or agentic tooling

Nice to Have

  • Bazel or similar monorepo build systems
  • Edge or embedded deployment experience
  • Tailscale, WireGuard, or zero-trust networking in production
  • gRPC/protobuf service ecosystems
  • Vault, PKI, or secrets management at fleet scale
  • Background in regulated or compliance-driven environments (CMMC, ISO 27001, SOC 2)

Why Join Us?

  • Work on cutting-edge AI infrastructure with real-world impact on American manufacturing
  • Build the release engineering foundation for a late-seed company actively scaling
  • Direct collaboration with the CTO and engineering leadership
  • Remote-first culture with flexible hours
  • Meaningful equity in a company solving hard problems

Location Requirements

  • Remote (US)

Equal Opportunity

Rapta is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

How to Apply No recruiters or agencies — we only accept applications directly from applicants.

Apply