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Firmware Ai Jobs (NOW HIRING)

Hp

Embedded AI/ML Developer

Spring, TX

$117K - $154K/yr

The engineer will work closely with hardware, firmware, software, and data science teams to translate AI/ML concepts into production-ready embedded implementations. Responsibilities include model ...

Plaud

Product Manager - San Francisco

San Francisco, CA · On-site

$150 - $200/hr

Define the integrated hardware-software-AI product experience: connect device capabilities, firmware behavior, AI features, mobile application, cloud services, and user interaction into one coherent ...

Arrive AI

Electrical Engineer - Firmware

Fishers, IN · On-site

At Arrive AI (Nasdaq: ARAI), we're not just building products--we're transforming the future of the ... What You'll Do Firmware Architecture & Development * Design, implement, and maintain firmware for ...

Arrive AI Inc

Electrical Engineer - Firmware

Fishers, IN · On-site

Arrive AI is now growing and investing to scale an ALM network and platform of the future for all ... What You'll Do Firmware Architecture & Development • Design, implement, and maintain firmware for ...

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Firmware Ai information

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$75K

$167.4K

$205K

How much do firmware ai jobs pay per year?

As of Sep 8, 2026, the average yearly pay for firmware ai in the United States is $167,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $205,000.00 per year, depending on experience, location, and employer.

What is a Firmware AI engineer?

Firmware AI engineers are professionals who design, develop, and optimize firmware—low-level software that controls hardware devices—by integrating artificial intelligence (AI) capabilities. They work on embedding AI algorithms directly into hardware systems, enabling smart devices to process data and make decisions locally, often with limited computing resources. Their role bridges the gap between hardware engineering and software development, ensuring efficient and reliable AI functionality in embedded systems such as IoT devices, robotics, and consumer electronics.

What skills and qualifications are needed to thrive as a Firmware AI engineer?

To thrive as a Firmware AI Engineer, you need a solid background in embedded systems, firmware development (C/C++), and AI concepts, often supported by a degree in computer engineering or related fields. Familiarity with microcontroller platforms, real-time operating systems (RTOS), and machine learning frameworks such as TensorFlow Lite or Edge AI SDKs is typically required. Strong problem-solving skills, attention to detail, and effective cross-functional communication set top candidates apart. These skills are crucial for integrating AI algorithms into embedded devices efficiently and ensuring robust, reliable performance.

How does a Firmware AI engineer typically collaborate with hardware and software teams during the development process?

Firmware AI engineers play a crucial role in bridging the gap between hardware and software teams. They work closely with hardware engineers to ensure AI algorithms are optimized for the device's constraints and performance requirements. Simultaneously, they collaborate with software developers to integrate AI models into embedded systems, ensuring smooth communication between firmware, operating systems, and application layers. Regular cross-functional meetings and design reviews are common, fostering a collaborative environment that helps resolve integration challenges quickly.

What is the difference between Firmware Ai vs Firmware Engineer?

AspectFirmware AiFirmware Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related; experience with AI/ML is a plusBachelor's or higher in Electrical Engineering, Computer Engineering, or related; embedded systems knowledge
Work EnvironmentResearch labs, AI-focused companies, tech startupsElectronics manufacturing, embedded systems development, hardware companies
Industry UsageEmerging role in AI-driven firmware developmentEstablished role in embedded systems and hardware products
Common Search/ComparisonYesYes

Firmware Ai focuses on integrating artificial intelligence into firmware development, often requiring knowledge of AI/ML alongside embedded systems. Firmware Engineers develop and maintain firmware for hardware devices, emphasizing embedded programming skills. While both roles work with firmware, Firmware Ai combines AI expertise with firmware development, whereas Firmware Engineers concentrate on traditional embedded systems.

What other helpful pages are available for Firmware Ai?

Other pages related to Firmware Ai:

Infographic showing various Firmware Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $167,438 per year, or $80.5 per hour.

2027 Graduate Software, Firmware & AI Engineering Internships - US

Rancho Cordova, CA • On-site

Solidigm
See more jobs at Solidigmexternal

Internship

Posted 4 days ago

Job description

Company Description
Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.
Job Description
Solidigm is seeking talented and motivated graduate students for our Software, Firmware & AI Engineering Internships in the United States. This evergreen posting supports multiple internship opportunities across software development, firmware engineering, embedded systems, AI/ML, and SSD validation and debug.
As an intern, you will work on real engineering challenges supporting Solidigm's data center SSD products, internal engineering platforms, firmware development, and emerging AI-enabled capabilities.
This internship is ideal for graduate students who enjoy solving complex technical problems, working close to hardware, and applying software, firmware, and AI techniques to real-world engineering systems.
Key Responsibilities
Interns may be assigned one or more of the following responsibilities based on project needs, team priorities, and individual strengths:
  • Design, develop, test, and maintain software tools or infrastructure that support engineering workflows and product development.
  • Contribute to firmware features, embedded software, test environments, or debug workflows for SSD and storage-related technologies.
  • Apply machine learning, data analysis, or AI techniques to improve engineering productivity or validation efficiency.
  • Explore or implement AI-assisted tools and workflows that help automate engineering tasks.
  • Build automation frameworks and scripts to improve firmware testing and regression execution.
  • Support validation of software or firmware functionality; analyze failures and assist with root-cause analysis.
  • Analyze test results, logs, and performance metrics to identify trends and improvement opportunities.
  • Collaborate with cross-functional firmware, software, validation, and hardware teams; document tools and debug findings.

Qualifications
Minimum Qualifications
  • Currently pursuing a Master's or Ph.D. degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related technical discipline.
  • Experience with a programming language such as Python, C, C++, or Java.
  • Familiarity with Linux-based development environments and version control (e.g., Git).
  • Strong analytical, debugging, and problem-solving skills.
  • Ability to work independently and collaboratively in a technical team environment.

Preferred Qualifications
  • Experience with firmware development, embedded software, or low-level systems programming.
  • Familiarity with SSDs, NAND flash, NVMe, PCIe, or storage systems.
  • Experience with software validation, test automation, or regression frameworks.
  • Exposure to AI/ML concepts, LLMs, AI agents, or applied machine learning workflows.
  • Experience building automation using Python, shell scripting, or CI/CD tools.
  • Familiarity with performance analysis, log analysis, or telemetry.

Additional Information
What You'll Gain
As a Solidigm intern, you will have the opportunity to:
  • Work on meaningful projects tied to real engineering and business needs.
  • Gain hands-on experience with software, firmware, AI, and storage technologies.
  • Collaborate with experienced engineers and cross-functional teams.
  • Develop practical skills in debugging, automation, and AI-enabled workflows.
  • Present your work and contribute to solutions that may influence future products.
  • Grow your professional network through mentorship and intern program activities.

Additional Information
Work locations may include Rancho Cordova, CA; San Jose, CA; or other U.S. Solidigm locations based on business need and internship assignment.
Internship availability and project scope may vary by team, degree level, and business requirements.
All your information will be kept confidential according to EEO guidelines.
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