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Remote Embedded Ai Jobs (NOW HIRING)

Darkhive

Sr Embedded Linux Engineer

This position is remote with travel up to 25% to our company headquarters or other locations. Key ... Knowledge of edge AI model deployment * Familiarity with USB gadget drivers, PCIe or SDIO ...

Samsara

AI Engineer, Customer Success

As an embedded AI Engineer in Customer Success, you'll design, build, test, deploy, and ... a remote position open to candidates residing in the US except the San Francisco Bay Metro Area ...

Samsara

AI Engineer, Customer Success

As an embedded AI Engineer in Customer Success, you'll design, build, test, deploy, and ... a remote position open to candidates residing in the US except the San Francisco Bay Metro Area ...

Mainspring Energy

Embedded Software Manager

Menlo Park, CA · On-site +1

$170K - $200K/yr

... onsite + remote) at our Menlo Park HQ . The salary will be adjusted to reflect local market ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

NRG

Sr Software Engineer, Embedded

WA · Remote

$150K - $185K/yr

The position will start remote and then will move into the hybrid schedule. Job Requirements ... Experience leveraging generative AI developer tools (e.g., Claude Code, GitHub Copilot) to design ...

Mainspring Energy

Embedded Software Manager

Menlo Park, CA · On-site +1

$170K - $200K/yr

... onsite + remote) at our Menlo Park HQ . The salary will be adjusted to reflect local market ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

OLIVER Agency - North America

Design Director

Austin, TX · On-site +1

Remote (PST) / San Francisco Bay Area About the role: We're pairing craft with AI velocity--and we need a Design Director to lead it. We've launched an embedded, AI-native creative studio for one of ...

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Remote Embedded Ai information

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$70K

$153.4K

$174K

How much do remote embedded ai jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.

What are some common challenges faced by remote embedded AI engineers, and how can they be overcome?

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

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Remote Embedded Ai jobs near you
Infographic showing various Remote Embedded Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Sr Embedded Linux Engineer

Darkhive

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

Due to the nature of our work in defense, Darkhive does not provide visa sponsorship for this role. Candidates must be eligible to obtain and maintain a security clearance, which usually requires US citizenship.
About Darkhive, LLC
Established in 2021, Darkhive is redefining the future of autonomous systems. We design and build next-generation hardware and software solutions that seamlessly integrate into critical public safety and defense networks. Our core focus centers on developing tactical, human-machine interfaces and scaling the mass production of affordable, attritable uncrewed systems alongside our government partners.
At Darkhive, we are a high-growth team of U.S. Special Operations veterans, aerospace engineers, robotics perception experts, and DevSecOps professionals. Above all, we are a mission-first culture. We believe that global teams operating on the front lines deserve high-quality, intelligent tools that ensure safety when each second counts.
If you are a free-thinking problem solver looking to build cutting-edge robotics in a fast-paced, highly collaborative startup environment, apply with Darkhive today!
Senior Embedded Linux Engineer
You'll contribute to full-stack embedded development-from writing low-level Linux drivers to bringing up hardware prototypes in the lab. The work involves integrating high-performance camera sensors, wireless communication modules, and real-time subsystems on modern embedded Linux platforms. You'll be part of a small, fast-moving team shipping systems that operate in real environments, not just test benches.
This is a full-time, exempt position reporting to the VP of Engineering. This position is remote with travel up to 25% to our company headquarters or other locations.
Key Responsibilities:
  • Develop and maintain Linux kernel drivers and low-level system software for embedded compute platforms, wireless modules, and custom MIPI image sensors
  • Build and integrate software stacks for Wi-Fi and RF communication modules, including power management, firmware bring-up, and regulatory tuning
  • Port and debug embedded Linux builds on Qualcomm Snapdragon platforms (Yocto, AOSP experience a plus)
  • Work with device trees, bootloaders, and system bring-up for new hardware platforms
  • Perform hardware-software integration, including camera tuning, I2C/SPI debug, and scope/logic analyzer work
  • Collaborate with hardware and mechanical teams to validate new designs and support board bring-up
  • Support integration and troubleshooting efforts for customers using our hardware, including driver-level debugging and system-level recommendations
  • Troubleshoot and optimize embedded systems for performance, stability, and RF compliance

Required Qualifications:
  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field (or equivalent practical experience)
  • Strong experience with Linux kernel development, kernel module creation, and driver debugging
  • Solid understanding of MIPI CSI interfaces, camera sensor integration, and V4L2 pipeline
  • Familiarity with wireless driver stacks (Wi-Fi/BT), including wpa_supplicant/hostapd and RF tuning
  • Hands-on experience with embedded Linux platforms (e.g., Qualcomm Snapdragon, NXP i.MX, or similar)
  • Proficient with embedded toolchains, cross-compiling, and kernel/u-boot customization
  • Comfortable working with hardware prototypes, schematics, oscilloscopes, and logic analyzers

Preferred Qualifications:
  • Experience with custom PCB bring-up and low-level hardware debugging
  • Familiarity with sensor initialization via I2C/SPI and power sequencing
  • Exposure to antenna tuning or RF compliance testing for wireless modules
  • Experience with camera tuning (gain, exposure, white balance) or GStreamer pipelines
  • Proficiency with Yocto or Buildroot for embedded Linux build automation
  • Experience with JTAG/SWD debuggers, bootloader recovery, or automated hardware tests
  • Knowledge of edge AI model deployment
  • Familiarity with USB gadget drivers, PCIe or SDIO peripherals, or low-level protocol analyzers
  • Direct experience in the Uncrewed Aircraft Systems (UAS) or robotics industry
  • U.S. Military Veteran experienced with tactical equipment from a user or developer perspective
  • Active Security clearance
  • Prior experience in a fast-paced, startup environment

Physical and/or Mental Requirements:
  • Ability to sit and/or stand for periods of time
  • Ability to use a keyboard, mouse, and other equipment with or without accommodations
  • Ability to maintain awareness during business hours
  • Ability to lift up to 15 pounds
  • Excellent written and verbal communication and good command of the English language
  • Learns and memorizes routine tasks
  • Reasonable accommodations will be provided to any person with a disability to be able to perform the essential job functions of this position
  • Darkhive retains the right to change or assign other duties as required for this position

Selection Process:
  • Hiring team reviews applications
  • 15-minute pre-screen with Darkhive recruiter
  • 30-minute phone screen with the hiring manager
  • Take home project
  • In-person or video interview with hiring team

Benefits Darkhive offers:
  • Comprehensive medical plans
  • 100% employer paid dental and vision insurance premiums
  • Automatic 401k employer contribution with vesting
  • Paid vacation and personal time off
  • 11 Paid holidays
  • 5 days of sick leave
  • Stock options
  • Welcoming and friendly work environment
  • Respect of work-life balance

Darkhive is an equal-opportunity employer and prohibits discrimination and harassment against any employee or applicant because of race, color, gender (including pregnancy), age, gender identity, creed, religion, national origin, sexual orientation, marital status, genetic information, disability, political affiliation, protected veteran status, or any other status protected by federal, state, or local law.
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About Darkhive

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

San Antonio, TX, US

Year founded

2021

Social media

Twitter

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