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Embedded Ai Jobs (NOW HIRING)

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

Embedded AI Engineer Location: Sunnyvale, CA Employment Type: 6+ Month Extendable Contract Pay Range: USD 70-80/HR - Role Overview/Job Responsibilities About this opportunity - Embedded AI Engineer ...

Cresta

OR · On-site

$131K - $172K/yr

Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a tactical execution role. As an Embedded AI Expert, you will be responsible for configuring and ...

Cresta

Embedded Ai Expert

$134K - $177K/yr

Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a tactical execution role. As an Embedded AI Expert, you will be responsible for configuring and ...

Deepgram

Embedded AI Engineer, On-Device Models

$219K - $274K/yr

As an Embedded AI Engineer , you will take Deepgram's models and make them run - fast, accurately, and efficiently - on resource-constrained embedded and edge platforms. You'll work across the stack ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

As an AI / Embedded ML Engineer, you 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

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

$145K - $190K/yr

As an AI / Embedded Engineer, you 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 · 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 · On-site

$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 ...

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Embedded Ai information

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$70K

$153.4K

$174K

How much do embedded ai jobs pay per year?

As of Aug 1, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Embedded Ai position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What is an Embedded AI job?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are some common challenges faced by Embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

More about Embedded Ai jobs
What cities are hiring for Embedded Ai jobs? Cities with the most Embedded Ai job openings:
What are the most commonly searched types of Embedded Ai jobs? The most popular types of Embedded Ai jobs are:
What states have the most Embedded Ai jobs? States with the most job openings for Embedded Ai jobs include:
What job categories do people searching Embedded Ai jobs look for? The top searched job categories for Embedded Ai jobs are:
Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Embedded AI Engineer

MatchPoint Solutions

Sunnyvale, CA • On-site

$156K - $206K/yr

Contractor

Re-posted 24 days ago

Job description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Job Title: Embedded AI Engineer
Location: Sunnyvale, CA
Employment Type: 6+ Month Extendable Contract
Pay Range: USD 70-80/HR
- Role Overview/Job Responsibilities
About this opportunity - Embedded AI Engineer We are seeking an experienced Embedded AI Engineer to join our team in validating PyTorch-based Large Language Models (LLMs) using CUDA SDK APIs. The successful candidate will be responsible for debugging, extending, and replacing the underlying CUDA code to ensure seamless functionality on our company-specific AI processors.
Key Responsibilities:
• Validate PyTorch-based LLMs on company-specific AI processors using CUDA SDK APIs
• Debug and troubleshoot issues related to CUDA code integration with PyTorch models
• Extend and modify CUDA code to optimize performance on company-specific AI processors
• Replace existing CUDA code with custom implementations to meet specific requirements
• Collaborate with cross-functional teams to ensure successful integration of LLMs with company-specific AI processors
• Develop and maintain validation frameworks and tools for PyTorch-based LLMs
• Analyze and optimize the performance of LLMs on company-specific AI processors Requirements
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields
• Strong experience with CUDA programming and PyTorch framework
• In-depth knowledge of deep learning models, particularly Large Language Models (LLMs)
• Proficiency in C++ and Python programming languages
• Experience with debugging and troubleshooting complex software issues
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
Nice to Have:
• Experience with AI processor architecture and design
• Knowledge of other deep learning frameworks, such as TensorFlow
MatchPoint Solutions 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.

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