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Embedded Ai Engineer Jobs in California (NOW HIRING)

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

The AI / Embedded ML Engineer will be responsible for the full lifecycle of AI/machine learning on resource-constrained hardware, including data ingestion, model development, optimization, and ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

E-Space is focused on making connectivity from space universally accessible and is seeking an AI / Embedded ML Engineer to work on the full lifecycle of AI/machine learning on resource-constrained ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$150 - $225/hr

As an AI / Embedded Engineer, you will be responsible for the full lifecycle of AI/ machine learning on resource-constrained hardware. This includes data ingestion, model development, optimization ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · Hybrid

$145K - $190K/yr

As an AI / Embedded Engineer, you will be responsible for the full lifecycle of AI/ machine learning on resource-constrained hardware. This includes data ingestion, model development, optimization ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · Hybrid

$150K - $225K/yr

As an AI / Embedded Engineer, you will be responsible for the full lifecycle of AI/ machine learning on resource-constrained hardware. This includes data ingestion, model development, optimization ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$150K - $225K/yr

As an AI / Embedded Engineer, you will be responsible for the full lifecycle of AI/ machine learning on resource-constrained hardware. This includes data ingestion, model development, optimization ...

Programmers.io

Java Full Stack AI Developer

Sunnyvale, CA · On-site

$61.50 - $79.50/hr

* Drive the adoption of embedded AI, moving beyond simple API calls to integrating local LLMs and vector databases into the application layer. Evangelize usage of AI tools to accelerate developer ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in California

Embedded Ai Engineer information

See California salary details

$69.1K

$151.4K

$171.7K

How much do embedded ai engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for embedded ai engineer in California is $151,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $170,700.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

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

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

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

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in California?

For Embedded Ai Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in California look for?

The top searched job categories for Embedded Ai Engineer jobs in California are:

What cities in California are hiring for Embedded Ai Engineer jobs?

Cities in California with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $151,375 per year, or $72.8 per hour.

Senior/Staff Software Engineer - Embedded AI Runtime

Talentlab

San Diego, CA • On-site

$150 - $230/hr

Other

Posted 16 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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