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Remote Nvidia Engineering Jobs in California (NOW HIRING)

Saga

Senior Platform Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

... NVIDIA, and Skuchain - and we're looking to grow as we scale Mino to millions of users ... We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246048 Location: San Diego,CA,US Share job via: Share Data Engineer ... Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA ...

ReadMe

Enterprise Support Engineer

San Francisco, CA · On-site +1

San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US) We're growing our ... If you've ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you've used ReadMe! We ...

Pano

Computer Vision Engineer

San Francisco, CA · On-site +1

$141K - $184K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... Document experiments, engineering decisions, and best practices. * Take on a variety of technical ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Work with cross-functional engineering teams to integrate ML components into robotics software ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Pano

Senior Computer Vision Engineer

San Francisco, CA · On-site +1

$195K - $255K/yr

We are a team of more than 175 people working in a hybrid-remote environment across North America ... Port and optimize deep learning models for ARM64, CUDA, TensorRT, ONNX, and NVIDIA Jetson platforms.

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

... NVIDIA, Tendermint and Skuchain - and we're looking to grow as we scale our agent platform to more ... We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ...

Saga

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

... NVIDIA, Tendermint and Skuchain - and we're looking to grow as we scale our agent platform to more ... We offer a flexible, remote working environment. You can expect a warm welcome from a friendly and ...

LangChain, Inc

Solutions Architect (Remote)

Los Angeles, CA · On-site +1

$68 - $89.50/hr

We build the foundation for agent engineering in the real world, helping developers move from ... Nvidia, and Bridgewater. About the Role We're looking for a Solutions Architect to join our ...

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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 California? The most popular types of Nvidia Engineering jobs in California are:
What are popular job titles related to Remote Nvidia Engineering jobs in California? For Remote Nvidia Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Engineering jobs in California look for? The top searched job categories for Remote Nvidia Engineering jobs in California are:
What cities in California are hiring for Remote Nvidia Engineering jobs? Cities in California with the most Remote Nvidia Engineering job openings:
Remote Nvidia Engineering jobs near you
Infographic showing various Remote Nvidia Engineering job openings in California as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Member of Technical Staff - Full Stack Software Engineer

Prime Intellect

San Francisco, CA • On-site, Remote

$150/hr

Full-time

Re-posted 13 days ago

Job description

Own Your Intelligence
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators - including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
Role Impact
This is a generalist software engineering role focused on building the product surface of Prime Intellect - the developer-facing platform, APIs, and services that researchers and engineers around the world use to train and deploy frontier models. You'll own features end-to-end, from design through deployment and monitoring, and ship at the pace of an early-stage company tackling one of the most important problems in AI.
Core Responsibilities
  • Build intuitive web interfaces for AI workload management and monitoring
  • Develop REST APIs and backend services in Python
  • Own features end-to-end, from design through deployment and operation
  • Create real-time monitoring and debugging tools for users of the platform
  • Implement user-facing features for resource management and job control
  • Deploy and operate services on cloud infrastructure
  • Contribute to internal tooling, automation, and developer experience improvements
Technical Requirements
  • Strong Python backend development (FastAPI, async)
  • Modern frontend development (TypeScript, React/Next.js, Tailwind)
  • Experience building developer tools, dashboards, or platform products
  • RESTful API design and implementation
  • Comfortable working with cloud platforms (GCP a plus) and containerized deployments
  • A bias toward shipping, ownership of production code, and pragmatic engineering judgment
  • Infrastructure automation experience (Ansible, Terraform, Kubernetes)

Nice to Have
  • Interest in or exposure to ML/AI workloads
  • WebSocket / real-time systems experience
  • Open-source contributions
  • Observability tooling (Prometheus, Grafana)
  • Prior experience at an early-stage startup
What We Offer
  • Cash compensation range of $150-300k with significant equity incentives
  • Flexible work arrangement (remote or San Francisco office)
  • Full visa sponsorship and relocation support
  • Professional development budget for courses and conferences
  • Regular team off-sites and conference attendance
  • Opportunity to shape the future of open AI development
Growth Opportunity
You'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.
We value potential over perfection - if you're a strong generalist engineer who is passionate about democratizing AI development, we want to talk to you.
Ready to help shape the future of AI? Apply now and join us in our mission to make powerful AI models accessible to everyone.

Apply