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Senior Embedded Ai Jobs (NOW HIRING)

Nebius

Senior Embedded Software Engineer

$179K - $269K/yr

We are building a full-stack AI cloud platform that supports developers and enterprises from data ... This role will focus on embedded control, board management, telemetry, and hardware-firmware ...

Neon Aerospace

Senior Embedded Platform Engineer

Irvine, CA · On-site

$133K - $174K/yr

Our team leverages automation, AI-driven tools, and a fully connected digital backbone to ... We're seeking a Senior Platform/Real-Time Embedded Firmware Engineer with strong low-level embedded ...

Yubico Inc.

Senior Embedded Engineer

Santa Clara, CA · On-site

$145K - $190K/yr

... to secure the AI frontier-protecting both human and agentic AI interactions-and leading the ... Yubico is looking for a Senior Software Engineer who is innovative and has a passion for creating ...

Darkhive

Sr Embedded Linux Engineer

Senior Embedded Linux Engineer You'll contribute to full-stack embedded development-from writing ... Knowledge of edge AI model deployment * Familiarity with USB gadget drivers, PCIe or SDIO ...

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FORT Robotics

Sr. Embedded Software Engineer I

Boston, MA · On-site

$134K - $176K/yr

... AI capabilities. While autonomous machines offer significant advantages, they also introduce new ... As a Senior Embedded Software Engineer, you will own critical subsystems within our embedded stack ...

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$144.8K

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How much do senior embedded ai jobs pay per year?

As of Jul 13, 2026, the average yearly pay for senior embedded ai in the United States is $144,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $162,500.00 per year, depending on experience, location, and employer.

What is a Senior Embedded AI Engineer?

A Senior Embedded AI Engineer is a specialized professional who designs, develops, and implements artificial intelligence algorithms on embedded systems, such as microcontrollers and edge devices. They work at the intersection of hardware and software, optimizing AI models for performance, efficiency, and low power consumption. Their responsibilities often include collaborating with hardware engineers, integrating AI solutions into products, and ensuring real-time processing capabilities. Senior roles typically require deep expertise in both AI frameworks and embedded system architectures, as well as experience leading technical projects.

What is the difference between Senior Embedded Ai vs Embedded Software Engineer?

AspectSenior Embedded AiEmbedded Software Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; experience in AI/MLBachelor's in Computer Science, Electrical Engineering, or related; programming skills in C/C++
Work EnvironmentResearch labs, AI-focused teams, product development in IoT, roboticsEmbedded systems development in consumer electronics, automotive, industrial devices
Employer & Industry UsageTech companies, startups, automotive, roboticsElectronics manufacturers, automotive, consumer device companies

While both roles involve embedded systems, Senior Embedded Ai focuses on integrating AI/ML capabilities into embedded devices, requiring knowledge of AI frameworks. Embedded Software Engineers develop the core software for embedded hardware, often with less emphasis on AI. The senior role typically demands more experience and specialized skills in AI integration.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior embedded AI engineer or director, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, embedded systems, and experience with AI frameworks, and are usually found in leading tech companies or innovative startups. Such compensation reflects the high demand for expertise in AI development and deployment at the senior level.

What engineer makes $500,000 a year?

Senior Embedded AI engineers with extensive experience, specialized skills in machine learning and hardware integration, and working in high-demand industries can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such compensation typically requires advanced certifications, leadership roles, and working in competitive tech environments.

What are the key skills and qualifications needed to thrive as a Senior Embedded AI Engineer, and why are they important?

To thrive as a Senior Embedded AI Engineer, you need strong expertise in embedded systems, machine learning algorithms, and proficiency in programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with hardware platforms (such as ARM or FPGA), real-time operating systems (RTOS), and AI frameworks (like TensorFlow Lite or ONNX) is typically required. Exceptional problem-solving, teamwork, and communication skills help you collaborate effectively and drive innovation in multidisciplinary environments. These skills are crucial for developing efficient, reliable AI solutions that operate seamlessly on resource-constrained devices.

What are some common challenges faced by Senior Embedded AI engineers when integrating AI models into resource-constrained devices?

Senior Embedded AI engineers often encounter challenges such as optimizing AI models to run efficiently on devices with limited memory, processing power, and battery life. Balancing model accuracy with computational constraints requires creative problem-solving, such as model quantization, pruning, or leveraging hardware accelerators. Additionally, ensuring real-time performance and maintaining robust security for on-device inference are key concerns. Close collaboration with hardware, firmware, and software teams is essential to successfully deploy and maintain AI solutions on embedded systems.

What is the highest paying AI job?

Senior Embedded AI engineers often earn some of the highest salaries in AI, especially when working on specialized hardware, real-time systems, or in industries like automotive or aerospace. Compensation can reach six figures or higher, particularly with advanced skills in machine learning, embedded systems, and relevant tools like FPGA or DSP development. Experience, certifications, and working in high-demand sectors influence salary levels significantly.

Will AI replace embedded developers?

Embedded AI involves integrating artificial intelligence into embedded systems, and senior embedded AI developers design and implement these solutions. While AI automation tools can assist with coding and testing, the role requires specialized knowledge of hardware constraints, real-time processing, and embedded environments, making complete replacement unlikely in the near term. Instead, the role is expected to evolve with a focus on developing and maintaining AI-enabled embedded systems.
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Senior Embedded Ai jobs near you
Infographic showing various Senior Embedded Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $144,773 per year, or $69.6 per hour.
Senior Embedded Software Application Engineer

Senior Embedded Software Application Engineer

Alif Semiconductor

Pleasanton, CA

$180K - $220K/yr

Full-time

Posted 18 days ago

Job description

Alif Semiconductor is revolutionizing the way secure connected AI-enabled embedded solutions are created. We are looking for motivated individuals who want to be involved in a fast-paced environment with cutting-edge technology.

We are looking for self-driven and motivated Senior Application Engineer in Pleasanton, CA to help us promote and support the groundbreaking family of Ensemble Micro Controllers that has received a lot of industry attention.
 
Responsibilities:
* Design Embedded Firmware, Application Examples and a Proof-of-Concept solutions.
* Support Alif Semiconductor customers including, but not limited to Zephyr Operating Systems.
* Ensure customer satisfaction by providing outstanding support and guidance.
* Contribute to the development of documentation such as Application Notes, Quick Start Guides and User Manuals.
* Work with the marketing team to validate product requirements and review new product introduction materials.
* Assist in business development activities.
 
Requirements
* Bachelor's or above degree in Electrical Engineering or Computer Science.
* 8+ years of experience of developing firmware and/or software for embedded products. Experience with IoT edge devices a plus.
* Demonstrated experience in developing device drivers and application software for digital and analog peripherals.
* Proficient in developing software for bare metal and Real Time Operating Systems. Zephyr experience is required.
* Proficient in C and/or C++ programming with best engineering and software development practices.
* Hands-on experience with oscilloscopes, logic analyzers and other standard lab equipment.
* Comfortable working with well-defined and ambiguous requirements.
* Excellent interpersonal communication skills and proactive, can-do attitude.
 
Desired Skills & Experience
* Experience in the following areas is a huge plus:
- ML/AI is a big plus.
- Image pipeline including camera, ISP, encoder, and display.
- Power management for embedded systems.
- Familiarity with BLE, and 802.15.4.
$180,000 - $220,000 a year
Alif Semiconductor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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