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Senior Embedded Ai Jobs (NOW HIRING)

Renesas Electronics

Sr. Staff Embedded AI Engineer

Columbia, MD ยท On-site

$130.50K - $171.70K/yr

Company Description Renesas is seeking a Sr. Staff Embedded AI Engineer to develop advanced TinyML and embedded AI solutions targeting Renesas microcontroller and MPU platforms (RA, RL78, RX, RZ)

Meraki7 Inc

Senior Embedded Software Engineer

Melbourne, FL

$114.90K - $150.60K/yr

Senior Embedded Software Engineer Location: USA - Melbourne Interview Process: Phone/Teams ... Integrate AI/ML-driven capabilities into embedded or edge environments. * Work across hardware ...

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL ยท Hybrid

$110.20K - $144.40K/yr

ORA_ON_SITE Description ๏ปฟ SAIC is seeking a Senior Embedded Software Engineer to join our dynamic ... Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ...

SAIC

Senior Embedded Software Engineer

Panama City, FL ยท Hybrid

$110.60K - $145K/yr

SAIC is seeking a Senior Embedded Software Engineer to join our dynamic team at our customer site ... Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ...

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL ยท On-site

$110.20K - $144.40K/yr

Description SAIC is seeking a Senior Embedded Software Engineer to join our dynamic team at our ... Familiarity with integrating and implementing embedded AI solutions * Experience working in Agile ...

Spear AI

Senior Embedded Linux Engineer

Falmouth, MA ยท On-site

$142.50K - $186.70K/yr

Spear AI is seeking an embedded linux developer to develop, debug and maintain software for Spear ... We expect this typically corresponds to a senior IC level of experience, likely at least 8 years.

Spear AI

Senior Embedded Linux Engineer

Falmouth, MA ยท On-site

$142.50K - $186.70K/yr

Spear AI is seeking an embedded linux developer to develop, debug and maintain software for Spear ... We expect this typically corresponds to a senior IC level of experience, likely at least 8 years.

Symbotic

Senior Embedded Software Engineer

Austin, TX ยท Hybrid

$122.90K - $161.10K/yr

As a Senior Embedded Software Engineer, you will play a key role in designing, developing, and ... end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

Symbotic

Senior Embedded Software Engineer

Austin, TX ยท On-site

$122.90K - $161.10K/yr

As a Senior Embedded Software Engineer, you will play a key role in designing, developing, and ... end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

Analog Devices

Senior Embedded SW Engineer

Boston, MA ยท On-site

$110.39K - $151.81K/yr

Senior Embedded Software Engineer The Analog Garage is ADI's internal innovation lab, empowering ... Familiarity with AI/ML edge inference frameworks, quantization, and deployment. * Basic knowledge ...

Humble Robotics

Senior Embedded Engineer

San Francisco, CA ยท On-site

$146.10K - $191.50K/yr

... AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV ... Position Overview As an Embedded Engineer, you will develop safety-critical, real-time firmware for ...

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Senior Embedded Ai information

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$75.5K

$144.8K

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How much do senior embedded ai jobs pay per year?

As of May 30, 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 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 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.

More about Senior Embedded Ai jobs
What cities are hiring for Senior Embedded Ai jobs? Cities with the most Senior Embedded Ai job openings:
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Senior Embedded Ai jobs near you
Infographic showing various Senior Embedded Ai job openings in the United States as of May 2026, with employment types broken down into 27% Full Time, 63% Part Time, and 10% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $144,773 per year, or $69.6 per hour.

Sr. Staff Embedded AI Engineer

Renesas Electronics

Columbia, MD โ€ข On-site

$130.50K - $171.70K/yr

Full-time

Posted 4 days ago

Job description

Company Description
Renesas is seeking a Sr. Staff Embedded AI Engineer to develop advanced TinyML and embedded AI solutions targeting Renesas microcontroller and MPU platforms (RA, RL78, RX, RZ). This is a highly technical, hands-on role focused on building cloud-based model translation infrastructure and optimizing network inference for resource-constrained embedded systems. You will contribute to a small team developing a service that converts trained machine learning models into efficient C/C++ implementations for deployment on microcontrollers. The ideal candidate combines strong embedded software expertise with solid machine learning fundamentals and is comfortable working across the stack - from neural network internals to low-level performance optimization. You should be someone who contributes new ideas, challenges assumptions, and helps improve both tooling and embedded implementation quality
Job Description
  • BS/MS/PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
  • 6+ years of experience in embedded systems software development.
  • Strong proficiency in C/C++ for embedded platforms.
  • Strong proficiency in Python for tooling, automation, or ML workflows.
  • Experience deploying machine learning models to resource-constrained systems.
  • Solid understanding of neural network fundamentals and internals
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Experience optimizing performance, memory footprint, and power consumption on embedded targets.

Qualifications
โ€ข Experience developing inference runtimes, model translation tools, or code generation systems.
โ€ข Experience with CMSIS-NN or other embedded ML acceleration libraries.
โ€ข Experience optimizing quantized neural networks for embedded systems using SIMD/DSP acceleration.
โ€ข Familiarity with Renesas MCU/MPU platforms (RA, RL78, RX, RZ).
โ€ข Experience with real-time systems (RTOS or bare-metal).
โ€ข Hardware debugging experience.
Additional Information
Renesas is an embedded semiconductor solution provider driven by its Purpose 'To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, 'To Make Our Lives Easier.'
At Renesas, you can:
  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
  • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure.
  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.

Are you ready to own your success and make your mark?
Join Renesas. Shape Your Future with Us.
Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement.
Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.
We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation, collaboration and continuous learning.
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