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Embedded Machine Learning Jobs in San Jose, CA (NOW HIRING)

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including ... 3+ years of embedded software development experience Proficiency in C/C++ Proficiency in ...

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA

$143K - $189K/yr

We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR ... Experience with model optimization for real-time inference on embedded or automotive platforms (e.g ...

Apple

Camera Embedded Software Engineer

Cupertino, CA

$150K - $277K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including ... Design and implement camera features in embedded systems for Apple products. You will work with ...

Sunday Inc

Embedded Software Engineer

Redwood City, CA · On-site

$161K - $211K/yr

You will collaborate closely with electrical, mechanical, software, and machine-learning teams to integrate our full robotics stack on a new compute. What You'll Do * Own the embedded software stack ...

Sunday Inc

Embedded Software Engineer

Redwood City, CA · On-site

$161K - $211K/yr

You will collaborate closely with electrical, mechanical, software, and machine-learning teams to integrate our full robotics stack on a new compute. What You'll Do * Own the embedded software stack ...

Doist

Senior Compiler Engineer

San Jose, CA · On-site

$160 - $210/hr

The Compiler Engineer will contribute to the design and implementation of an embedded machine learning (ML) system stack and TinyML applications to run on the world's most energy-efficient ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in San Jose, CA

Embedded Machine Learning information

See San Jose, CA salary details

$82K

$179.8K

$203.9K

How much do embedded machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded machine learning in San Jose, CA is $179,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,100.00 and $202,800.00 per year, depending on experience, location, and employer.

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are the most commonly searched types of Embedded Machine Learning jobs in San Jose, CA?

The most popular types of Embedded Machine Learning jobs in San Jose, CA are:

What are popular job titles related to Embedded Machine Learning jobs in San Jose, CA?

For Embedded Machine Learning jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning jobs in San Jose, CA look for?

The top searched job categories for Embedded Machine Learning jobs in San Jose, CA are:

Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in San Jose, CA as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution, with an average salary of $179,764 per year, or $86.4 per hour.

Camera Embedded Software Engineer

Apple

Cupertino, CA • On-site

$162K - $213K/yr

Full-time

Re-posted 28 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Apple's Camera Firmware team is looking for an extraordinary firmware engineer to drive groundbreaking technologies for Apple products! As part of the team you would work on core camera/ISP/Machine learning technologies, including Apple crafted Image signal processing pipeline and HW components, where you will have the chance to define the way that Apple develops, tests and manufactures all of its products. Our close-knit team champions an environment of product innovation, rapid product iteration and collaboration at both team and multi-functional levels with a liberating amount of autonomy!
Description
In this role you will implement, maintain and pursue problems in our firmware. This is a highly multi-functional product development role and you will work closely with various teams, like Silicon Design, QA team and the Machine Learning algorithm team! The environment is multifaceted, fast-paced and requires a self-starter demeanor.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
3+ years of embedded software development experience
Proficiency in C/C++
Proficiency in development of multi-thread software within embedded RTOS system
Preferred Qualifications
Familiarity with camera pipeline and HW components

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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