2

Remote Nvidia Hardware Engineer Jobs in Santa Rosa, CA

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

In this role, you'll design and build systems that connect physical hardware to cloud services ... remote management, and operational insights. You'll join a small, high-impact team (3-4 engineers ...

This is a remote position. #Li-Remote This role is contributing to the Electrification Smart ... hardware, protection and control relays, switchboards, power and lighting panelboards, busway ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute ... D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ...

Remote Nvidia Hardware Engineer information

See Santa Rosa, CA salary details

$55.8K

$159.9K

$214.8K

How much do remote nvidia hardware engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote nvidia hardware engineer in Santa Rosa, CA is $159,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,000.00 and $178,200.00 per year, depending on experience, location, and employer.

What does a Remote Nvidia Hardware Engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

What is the difference between Remote Nvidia Hardware Engineer vs Remote Nvidia Software Engineer?

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

What are some common challenges faced by Remote Nvidia Hardware Engineers, and how can they be addressed?

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

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

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.
What are popular job titles related to Remote Nvidia Hardware Engineer jobs in Santa Rosa, CA? For Remote Nvidia Hardware Engineer jobs in Santa Rosa, CA, the most frequently searched job titles are:
What cities near Santa Rosa, CA are hiring for Remote Nvidia Hardware Engineer jobs? Cities near Santa Rosa, CA with the most Remote Nvidia Hardware Engineer job openings:
Infographic showing various Remote Nvidia Hardware Engineer job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $159,878 per year, or $76.9 per hour.

$125K - $150K/hr

Full-time

Posted 21 days ago


Job description

Lilitab, a subsidiary of GCX Corporation, is a leading provider of innovative tablet kiosk and mounting solutions for enterprise use. Our patented technologies, including the MagDOCK system, enable organizations across industries—such as retail, healthcare, hospitality, and events—to securely deploy tablets and self-service technologies that are adaptable, future-proof, and built to enhance customer engagement. As part of GCX, a leader in medical carts and medical mounting solutions, Lilitab combines entrepreneurial agility with the backing and resources of a market leader
About the Role

Lilitab/GCX is building next-generation IoT fleet management software for medical carts and connected healthcare devices used in hospitals nationwide. We’re looking for a Software Engineer who thrives across the full stack—from Linux-based device clients to modern cloud platforms.

In this role, you’ll design and build systems that connect physical hardware to cloud services, enabling healthcare organizations to provision, monitor, and manage thousands of devices at scale. You’ll work on a small, highly collaborative team with significant ownership and direct impact on product direction.

This is a hands-on engineering role, not a maintenance position—you’ll be building new features, shaping architecture, and helping unify multiple platforms into a single, scalable system.


What You’ll Do
  • Build Linux-based client applications that bridge hardware peripherals to cloud services (e.g., serial, HID, system interfaces)
  • Develop webview-based device UIs with JavaScript-to-native/system integrations
  • Design and implement Spring Boot REST APIs and React-based frontends
  • Create and enhance web-based admin interfaces for provisioning, monitoring, configuration, and analytics
  • Extend and maintain an existing Java/Jersey-based fleet management portal
  • Support and evolve a Python/Django IoT platform
  • Implement API proxy and composition patterns to integrate legacy and modern systems
  • Design and optimize PostgreSQL schemas, including hierarchical data models
  • Work with AWS cloud services, including IoT Core, Greengrass, ECS, S3, Lambda, and Cognito
  • Build and deploy containerized applications using Docker and CI/CD pipelines
  • Contribute to system integration design between embedded devices and cloud platforms
  • Troubleshoot and resolve complex production issues
  • Document technical designs, APIs, and operational processes
  • Collaborate on architecture, code reviews, and engineering best practices

Required Qualifications
  • 7–15 years of software engineering experience
  • Must reside within a 50-mile radius of Petaluma, CA
  • Must be authorized to work in the United States
  • Strong experience building IoT or hardware-adjacent applications on Linux systems
  • Proficiency with:
    • Java (Spring Boot, REST APIs, Maven)
    • Python/Django
    • React (hooks, state management, component architecture)
  • Solid Linux systems experience (CLI, system-level debugging)
  • Experience with PostgreSQL (schema design, query optimization, migrations) and familiarity with MySQL
  • Hands-on experience with AWS services (ECS, S3, Lambda, Cognito)
  • Experience with Docker and containerized deployments
  • Familiarity with CI/CD pipelines (GitHub Actions or similar)
  • Strong understanding of REST API design and documentation (OpenAPI/Swagger)
  • Experience working across multiple layers of the stack

Preferred Qualifications
  • Experience with AWS IoT (IoT Core, Greengrass, edge computing)
  • Additional backend experience (e.g., Node.js/Express)
  • Modern Java experience (Spring Boot 3.x, Java 17+ / 21)
  • Experience with IoT device provisioning, telemetry, or fleet management systems
  • Familiarity with time-series data systems (e.g., Timestream, Kinesis)
  • Knowledge of OAuth2 / OpenID Connect / Cognito
  • Experience migrating or consolidating legacy systems
  • Background working with inherited or contractor-built codebases
  • Experience in healthcare, medical devices, or regulated environments
  • Exposure to iOS/iPad application development

About the Team amp; Product

GCX/Lilitab designs and manufactures medical carts and mounting solutions used in healthcare environments across the U.S. Our software team is building IoT solutions that bring these devices online—enabling real-time monitoring, remote management, and operational insights.

You’ll join a small, high-impact team (3–4 engineers) working across:

  • A Java-based tablet/peripheral management platform
  • A Python-based IoT system for medical carts

You’ll play a key role in evolving these into a unified fleet management platform.


What Success Looks Like
  • You take ownership of features end-to-end, from design to deployment
  • You’re comfortable navigating and improving complex, mixed-technology systems
  • You contribute to a growing engineering culture with strong standards and practices
  • You can quickly understand and extend unfamiliar codebases

Core Competencies
  • Cloud Architecture (AWS)
  • IoT amp; Edge Computing
  • REST API Design
  • Java / Spring Boot Development
  • React Frontend Development
  • Database Design amp; Optimization
  • Containerization amp; Deployment (Docker, ECS)
  • System Migration amp; Platform Consolidation
  • Software Development Lifecycle (SDLC)
  • Testing amp; CI/CD
  • Version Control (Git)

Why Join Us
  • Build software that directly impacts healthcare delivery
  • Work on real-world IoT systems connecting hardware and cloud
  • High ownership in a small, fast-moving team
  • Opportunity to shape architecture and engineering practices
  • Be part of a major platform transformation