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Embedded Machine Learning Engineer Jobs in Sacramento, CA

Lead Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... machine learning operations practices. The Team Deloitte's Government & Public Services (GPS ...

Lead Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... machine learning operations practices. The Team Deloitte's Government & Public Services (GPS ...

Cyber Manager - AI SOC

Sacramento, CA

$118K - $159K/yr

Serving as an embedded engineering lead with client teams to translate operational workflows and ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Electrical Engineer

Davis, CA · On-site

$85K - $125K/yr

Design and develop electrical systems for LPBF machines, including power distribution and control ... Experience with PLCs, embedded systems, and communication protocols * Understanding of electrical ...

Showing results 41-60

Embedded Machine Learning Engineer information

See Sacramento, CA salary details

$74.6K

$163.6K

$185.5K

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

As of Aug 8, 2026, the average yearly pay for embedded machine learning engineer in Sacramento, CA is $163,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $184,500.00 per year, depending on experience, location, and employer.

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

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 Sacramento, CA? For Embedded Machine Learning Engineer jobs in Sacramento, CA, the most frequently searched job titles are:
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What cities near Sacramento, CA are hiring for Embedded Machine Learning Engineer jobs? Cities near Sacramento, CA with the most Embedded Machine Learning Engineer job openings:

Systems Engineer III - ISR with Security Clearance

Voyager Technologies, Inc

Folsom, CA • On-site

$113K - $196K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. Forge the Future: Join Voyager Technologies The future belongs to those who build it. At Voyager Technologies, we're building technologies that protect lives, expand frontiers and prepare us for what's next. And we're doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart. You'll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We're a company of doers, thinkers and builders, united by purpose and grounded in reality. If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. The Systems Engineer III - ISR is an integral member of our Engineering team that develops cutting-edge signals intelligence systems, which enable mission-critical capabilities across defense and space systems. The team implements, tests and documents SIGINT software and hardware, contributing directly to the success of our national security missions. The position reports to the VP of Engineering and is part of our ISR team based inFolsom, CA. This role is hybrid and can be located in either Folsom, CA or Dayton, OH. In this role, the essential functions are: * ISR systems technical requirements development, architecture, design, integration, and test efforts. * Perform technical trade studies related to ISR systems. * Develop risk management and mitigation plans for complex systems. * Contribute on proposal generation encompassing technical performance, cost, and schedule. * Incorporate Systems Engineering rigor with respect to requirements development, segmentation, flow-down, verification, and validation. * Technical contributor to systems engineering and software engineering teams on projects. * Technical contributor to the project team regarding technical decisions on each project in the areas of: * Digital Signal Processing and Software Architecture Implementations * Systems (SW and HW) Requirements and Design * Detailed Hardware Design and Implementation * Detailed Software Design and Implementation * Systems Integration and Test * Demonstrate domain technical knowledge regarding Signal Processing Architectures and Systems related to SIGINT systems. Requirements Include: * Bachelor's Degree in the field of Engineering or Computer Science from an accredited university. * Four (4) or more years of engineering experience, with at least two (2) years focused on signal collection and signal processing systems. * Experience with software-defined radios (SDRs) and their application in SIGINT systems. * Experience with wireless communications systems and protocols (e.g., AM, FM, BPSK, QPSK, QAM). * Experience with modeling and simulation of signal processing algorithms. * Experience with MBSE (model-based systems engineering). * A strong understanding of electromagnetic fundamentals related to antennas and receiving systems. * Proven ability to work independently on assigned tasks within a collaborative team environment. Preferred Qualifications: * Current DoD Top Secret security clearance * Understanding of and experience with SIGINT direction-finding systems and with machine learning in embedded (or "edge) environments. Travel, Physical and/or Government Mandated Requirements: * Ability to travel approximately 10% of the time for on-site integration and customer meetings. * Must be able to obtain and maintain a US Government Clearance. The good faith base salary range for this role is $113,068 - $196,100 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future. This position is incentive plan eligible. Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being. * Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance. * Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees. * Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more! No long-term contracts and FREE on-demand workout videos before you enroll * 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security. * Company wellness programs that support physical and mental well-being. * Additional voluntary benefits and employee support resources. * The opportunity to work alongside a highly talented team in an innovative, mission driven environment. Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. Able to obtain and maintain a U.S. security clearance Minority/Female/Disabled/Veteran The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. California pay range $122,900 - $196,100 USD