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Embedded Machine Learning Engineer Jobs in Irvine, CA

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA

$80 - $150K/hr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ...

TRL11, Inc.

Jr Algorithms/Video Engineer

Irvine, CA · On-site

$80 - $150K/hr

Develop and implement computer vision algorithms on embedded systems, used for identifying ... Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ...

Deloitte

AI Solutions Architect

Costa Mesa, CA · On-site

$67.50 - $89/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$112K - $154K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams to ensure reliable training, evaluation, deployment, and monitoring of ML models. This is an ...

Anduril Industries

Senior DSP Engineer

Costa Mesa, CA · On-site

$153K - $179K/yr

... machine learning algorithms for deployment on FPGAs and GPUs. * Collaborate with a ... Experience with embedded devices, including FPGA, Nvidia Jetson, and Software Defined Radios.

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Irvine, CA

Embedded Machine Learning Engineer information

See Irvine, CA salary details

$75.1K

$164.6K

$186.8K

How much do embedded machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for embedded machine learning engineer in Irvine, CA is $164,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,200.00 and $185,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Engineer, and why are they important?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

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

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Irvine, CA? For Embedded Machine Learning Engineer jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Irvine, CA look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Embedded Machine Learning Engineer jobs? Cities near Irvine, CA with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you
Sr Embedded Systems Software Engineer

Sr Embedded Systems Software Engineer

Accord Technologies Inc.

Irvine, CA • On-site

Contractor

Posted 6 days ago

New

Job description

Position : Sr Embedded Systems Software Engineer
Location: Irvine CA (100% Onsite)
Visa: USC/GC
Total Position 2

Note: Embedded System software engineer should be able to architect, design and implement application layer.
If this person has similar experience in automotive propulsion systems or aerospace propulsion system then it is good fit.
This is not web based design, motor control, or only BMS control engineer – it is overall system engineer.

Required Qualifications

  • 5+ years of experience developing embedded control software for complex real-time systems
  • Strong proficiency in embedded C/C++ and real-time software architecture
  • Experience designing system-level control logic, state machines, and sequencing
  • Hands-on experience with communication protocols such as CAN (and derivatives), SPI,
  • Ethernet, or ARINC (825/664)
  • Experience with model-based design tools (MATLAB/Simulink) and SIL/HIL testing
  • Proven ability to integrate and debug software across hardware, firmware, and system
  • boundaries
  • Strong analytical skills and system-level problem-solving ability.

Preferred / Bonus Experience

  • Experience with TI C2000, NXP, or similar real-time control microcontrollers
  • Prior work on safety-critical or regulated systems (aerospace, automotive, industrial)
  • Exposure to certification-oriented development processes (DO-178C, ARP4754/4761, ISO
  • 26262 concepts)
  • Experience defining software architectures and development processes for growing teams
  • Background spanning motor control, BMS, or vehicle control systems
  • Experience supporting production launch, field issues, and system-level validation