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Senior Embedded Ai Jobs (NOW HIRING)

Neura Market

$97K - $127K/yr

Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a ... Comfortable speaking with senior level executives at customers * Proficient in Microsoft Word ...

Scout AI

Senior Embedded Software Engineer

Sunnyvale, CA · On-site

$210K - $265K/yr

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... The Role We're looking for a Senior Embedded Software Engineer who is excited about working close ...

Deepgram

Embedded AI Engineer, On-Device Models

$219K - $274K/yr

This role is a great fit whether you're a hands-on senior embedded engineer who wants to go deep on a hard problem, or a staff-level technical leader who wants to define how Deepgram's voice AI gets ...

Scout AI

Senior Embedded Software Engineer

Sunnyvale, CA

$145K - $190K/yr

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... The Role We're looking for a Senior Embedded Software Engineer who is excited about working close ...

Saic

Senior Embedded Software Engineer

Panama City Beach, FL · On-site

$110K - $144K/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 ...

SAIC

Senior Embedded Software Engineer

Panama City Beach, FL · Hybrid

$110K - $144K/yr

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

Bevi

Senior Embedded Engineer

Boston, MA · Hybrid

$134K - $176K/yr

We're searching for a Senior Embedded Engineer excited to join our embedded team, where we build ... Champion the use of AI across the embedded team, applying it to accelerate development, code ...

Butlr

Senior Embedded Engineer

Burlingame, CA · On-site

$140K - $183K/yr

Our patented approach pairs low-resolution thermal sensing with AI to deliver spatial intelligence ... About the Role We're seeking a Senior Embedded Engineer to work across our MCU-based edge sensors ...

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Senior Embedded Ai information

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$75.5K

$144.8K

$193.5K

How much do senior embedded ai jobs pay per year?

As of Sep 11, 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 are the key skills and qualifications needed to thrive as a senior embedded AI engineer?

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 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.

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Senior Embedded Ai jobs near you
Infographic showing various Senior Embedded Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $144,773 per year, or $69.6 per hour.

Senior/Staff Software Engineer - Embedded AI Runtime

San Diego, CA • On-site

Talentlab
See more jobs at Talentlabexternal

$131K - $172K/yr

Other

Posted 20 days ago

Job description

Senior/Staff Software Engineer – Embedded AI Runtime Senior/Staff Software Engineer – Embedded AI Runtime

Location: San Diego, California
Focus: C/C++, Embedded AI, AI Runtimes, IoT

TalentLab is recruiting a Senior/Staff Software Engineer to join a team developing high-performance AI runtime software for IoT platforms.

This is a hands-on software engineering role focused on the infrastructure that enables modern AI models to execute efficiently on-device. Rather than building or training models, you'll work deeper in the AI software stack — developing runtime and SDK capabilities, integrating with edge and IoT platforms, and solving performance and compatibility challenges across hardware and software.

You'll work with advanced neural network architectures including DNNs and LLMs while collaborating closely with hardware, operating systems, compiler, driver and AI software teams.

What You'll Work On

Develop and enhance AI runtime and SDK capabilities for embedded and IoT platforms.

Lead significant features from technical design through implementation, debugging and integration.

Develop high-performance systems software primarily in C/C++.

Enable efficient execution of DNNs, LLMs and other modern neural network architectures.

Integrate AI software across multiple embedded product platforms.

Debug complex issues spanning AI runtime software, operating systems, compilers, drivers and hardware.

Work closely with platform, hardware and software engineering teams.

Evaluate new developments in AI and systems software and determine how they can improve the runtime platform.

Provide technical guidance to other engineers and contribute to broader architecture and technical planning.

What We're Looking For

Strong professional software development experience, ideally 6+ years, with deeper experience expected at the Staff level.

Advanced C/C++ development skills.

Experience developing systems software in Linux or Unix environments.

Strong software engineering fundamentals including data structures, algorithms, object-oriented design, debugging and testing.

Experience building embedded software or working close to hardware.

Ability to independently own complex technical problems and drive them through to completion.

Experience providing technical leadership or guidance within a software engineering team.

Bachelor's, Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related discipline.

Particularly Relevant Experience

We're especially interested in candidates with experience in one or more of the following:

AI runtimes, inference engines or AI SDK development.

Embedded or on-device AI.

DNN, CNN, RNN/LSTM, LLM or other neural network architectures.

Hardware-accelerated AI inference.

Low-level interactions between operating systems and hardware.

Linux, Android, QNX or similar embedded operating systems.

Debugging across hardware, OS, compiler and driver layers.

AI accelerator, DSP, GPU or NPU software.

Agile development and Git-based source control.

This is a strong fit for an experienced systems software engineer who wants to work underneath the models, solving the runtime, performance and platform challenges required to bring advanced AI capabilities onto real-world embedded devices.

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