Santa Clara, CA · Remote
$20 - $90/hr
... Part-time] Compensation: [$30-$100 per hour or $64,000-$120,000 annually] About the Organization ... RISC-V, x86, microcontrollers, or system-on-chip platforms Hardware interfaces, debugging tools ...
New
Quick apply
Santa Clara, CA · Remote
$20 - $90/hr
... Part-time] Compensation: [$30-$100 per hour or $64,000-$120,000 annually] About the Organization ... RISC-V, x86, microcontrollers, or system-on-chip platforms Hardware interfaces, debugging tools ...
New
$10.34 - $11.58
2% of jobs
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5% of jobs
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12% of jobs
$14.59 is the 25th percentile. Wages below this are outliers.
$14.07 - $15.32
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The median wage is $16.76 / hr.
$16.56 - $17.81
17% of jobs
$18.87 is the 75th percentile. Wages above this are outliers.
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$10
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| Aspect | Part Time Risc V | Part Time Embedded Systems Engineer |
|---|---|---|
| Required Credentials | Knowledge of RISC-V architecture, basic hardware/software skills | Embedded systems knowledge, programming skills, relevant certifications |
| Work Environment | Hardware labs, software development environments, remote options | Hardware and software integration, testing labs, remote work possible |
| Industry Usage | Semiconductor, hardware design, IoT companies | Consumer electronics, automotive, industrial automation |
| Search & Comparison Intent | Focus on RISC-V architecture, hardware design | Broader embedded systems development, software focus |
Part Time Risc V roles primarily focus on hardware architecture and design involving RISC-V processors, while Part Time Embedded Systems Engineers work on a broader range of embedded systems, including software development and integration. Both roles require technical skills but differ in their specific focus areas within embedded hardware and software development.
The most popular types of Risc V jobs are:
The top searched job categories for Part Time Risc V jobs are:
Santa Clara, CA • Remote
$20 - $90/hr
Part-time
Posted yesterday
New
Organization: Embedded Operating Systems Research Foundation
Location: [Remote]
Employment type: [Full-time / Part-time]
Compensation: [$30–$100 per hour or $64,000–$120,000 annually]
About the Organization
The Embedded Operating Systems Research Foundation is a nonprofit organization focused on open-source research, education, and technology development.
We are building an integrated technology ecosystem spanning operating systems, software, AI/ML, networking, embedded computing, hardware integration, developer infrastructure, and open-source collaboration.
Our projects include:
eBuild: Build and development infrastructure
EoS: Operating-system platform and core components
eBoot: Boot and system-initialization technology
eAI: AI and machine-learning systems
eNI: Networking and connectivity infrastructure
Learn more:
Website: https://www.embeddedos.org/
GitHub: https://github.com/embeddedos-org
LinkedIn: https://www.linkedin.com/company/embedded-operating-systems-research-foundation
Position Overview
We are seeking a Software, Systems & AI/ML Engineer to contribute to research and engineering projects across systems software, operating systems, AI/ML, networking, hardware, infrastructure, and open-source technologies.
Embedded systems are one area of the position, but the role is broader. The selected candidate may work across multiple technical domains and collaborate with internal contributors, open-source communities, research organizations, technology companies, hardware manufacturers, and vendors.
The ideal candidate enjoys understanding complex systems, solving technical problems, contributing to existing codebases, and working openly with distributed teams.
Responsibilities :
Design, develop, test, document, and maintain software and system components.
Contribute to operating-system architecture, system services, libraries, tools, and infrastructure.
Analyze existing codebases and identify bugs, technical debt, security concerns, and opportunities for improvement.
Develop AI/ML software, inference components, automation tools, and intelligent system features.
Work with Linux, embedded Linux, RTOS platforms, bootloaders, firmware, device drivers, and hardware interfaces when applicable.
Develop networking, communication, distributed-system, and connectivity components.
Build and maintain development tools, build systems, CI/CD workflows, test automation, and release infrastructure.
Write unit, integration, system, performance, and hardware-validation tests.
Create clear technical documentation, architecture notes, issue reports, and design proposals.
Review code and participate constructively in GitHub issues, discussions, and pull requests.
Collaborate professionally with contributors, researchers, companies, universities, vendors, and open-source communities.
Evaluate new technologies and prepare prototypes or proof-of-concept implementations.
Follow secure-development, code-quality, licensing, and open-source contribution practices.
Technical Areas
Candidates may have experience in one or more of the following areas:
Software and Systems
C, C++, Python, Rust, Go, Dart, Java, or related languages
Linux system programming
Operating-system architecture
Processes, threads, concurrency, memory, filesystems, and inter-process communication
APIs, libraries, command-line tools, and developer utilities
AI and Machine Learning
AI/ML frameworks and inference systems
Edge AI and hardware-accelerated computing
Model integration, evaluation, optimization, and deployment
Intelligent automation and AI-assisted developer tooling
Python-based data and ML ecosystems
Embedded Systems and Hardware
Embedded Linux or RTOS development
Bootloaders, firmware, board-support packages, and device drivers
ARM, RISC-V, x86, microcontrollers, or system-on-chip platforms
Hardware interfaces, debugging tools, and system integration
Cross-compilation and resource-constrained development
Networking and Infrastructure
TCP/IP, network services, protocols, and connectivity
Distributed systems, cloud, edge, or device infrastructure
Containers, virtualization, build systems, and CI/CD
GitHub Actions and automated testing
Security, observability, reliability, and performance
Minimum Qualifications
Demonstrated software-development or systems-engineering experience.
Proficiency in at least one relevant programming language.
Familiarity with Git, GitHub, branches, commits, issues, code reviews, and pull requests.
Ability to understand and work with an existing codebase.
Knowledge of software testing, debugging, documentation, and version control.
Strong analytical and problem-solving skills.
Ability to communicate clearly and collaborate respectfully with distributed teams.
Willingness to learn unfamiliar technologies and technical domains.
Equivalent professional, academic, independent, or open-source experience will be considered.
Preferred Qualifications
Experience contributing to an open-source project.
Experience with Linux, operating systems, embedded systems, AI/ML, networking, or developer infrastructure.
Familiarity with software architecture and technical-design documentation.
Experience working with hardware platforms or development boards.
Understanding of open-source licenses and community contribution practices.
Research, publication, teaching, mentoring, or nonprofit technology experience.
Experience collaborating across organizations, vendors, or international teams.
Candidates are not expected to have experience in every listed area.
What We Value
Technical curiosity and continuous learning
Practical, maintainable, and well-tested engineering
Clear documentation and transparent communication
Respectful open-source collaboration
Ownership and accountability
Security, reliability, accessibility, and user value
Mission-driven research and education
Application Process
Please apply through the official job platform and include:
Your résumé
GitHub profile or technical portfolio, if available
Relevant open-source contributions or code samples, if available
A short explanation of your interest in the position
Do not provide confidential, proprietary, or employer-owned source code.
Selected applicants may be invited to complete a short technical screening exercise. Any assessment will:
Be directly relevant to evaluating the position’s basic skills
Be limited to approximately 60–90 minutes
Be used only for candidate evaluation
Permit an existing relevant code sample as an alternative when appropriate
The screening exercise itself is unpaid. Completing an assessment does not create an employment, contractor, internship, or volunteer relationship. Compensation for the position is stated separately in this job description.
Equal Opportunity
The Embedded Operating Systems Research Foundation considers qualified applicants without unlawful discrimination. Reasonable accommodations are available during the application and interview process upon request.