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

Machine Learning Engineer

Santa Clara, CA ยท On-site

$170K - $240K/yr

About the role We are seeking a high-impact, technically deep Machine Learning Engineer to develop ... Experience deploying and optimizing neural networks for real-time, embedded, robotics, autonomous ...

About the role We are seeking a high-impact, technically deep Machine Learning Engineer to develop ... Experience deploying and optimizing neural networks for real-time, embedded, robotics, autonomous ...

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Showing results 1-20

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 Sep 14, 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:

Infographic showing various Embedded Machine Learning job openings in San Jose, CA as of August 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $179,764 per year, or $86.4 per hour.

Embedded Machine Learning & Radar Processing Intern - Summer 2027

San Jose, CA โ€ข On-site

$64K - $107K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Join NXP's Innovation R&D team in the heart of Silicon Valley and help shape the future of automotive radar, AI, and autonomous perception systems. As an intern, you will work alongside industry experts developing next-generation radar technologies that power advanced driver assistance and self-driving vehicles.

In this role, you will:

  • Contribute to cutting-edge automotive radar and perception solutions that push the boundaries of vehicle intelligence.
  • Apply handsโ€‘on software engineering skills using custom IDEs, compilers, SDKs, and toolchains targeting advanced edge AI SoCs.
  • Benchmark and optimize AI/ML models on NXP hardware platforms, gaining firsthand experience with real-world edge AI deployment.
  • Build and enhance the software stack required to deliver a full radar system proof-of-concept (PoC), from machine learning models to embedded deployment.
  • Collaborate with multidisciplinary teams spanning AI, signal processing, embedded systems, and semiconductor hardware.
Preferred Qualifications
  • Machine Learning & AI Experience Strong handsโ€‘on experience with machine learning and deep learning development.
  • Proficiency in Python and modern ML frameworks such as PyTorch and TensorFlow.
  • Experience optimizing and deploying AI models on resourceโ€‘constrained embedded platforms.
  • Bonus: Experience with custom AI toolchains such as NXP eIQ Auto.
  • Bonus: Experience with model quantization, acceleration, or performance optimization for edge devices.
Embedded Software Experience
  • Strong programming skills in C, C++, and Embedded C.
  • Experience setting up and using embedded development environments, including IDEs, compilers (GCC), and debuggers (GDB).
  • Experience with embedded Linux software development and system integration.
  • Familiarity with Hardwareโ€‘inโ€‘theโ€‘Loop (HIL) testing and embedded software development using custom APIs.
  • Experience with Robot Operating System (ROS/ROS2).
  • Bonus: Experience with FPGAโ€‘based emulation platforms, hardware accelerators, or cycleโ€‘accurate simulators.
  • Bonus: Familiarity with AI accelerators, NPUs, DSPs, or heterogeneous computing architectures.
Additional Qualifications
  • Excellent communication, technical writing, and presentation skills.
  • Selfโ€‘driven, highly motivated, and passionate about solving challenging engineering problems.
  • Ability to thrive in a fastโ€‘paced research and development environment.
  • Currently pursuing a Master's or Ph.D. degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Machine Learning, or a related field.

In order to be considered for a summer internship with NXP you must be returning to school or graduating at the conclusion of the internship term.

The base salary range for this position is as mentioned below per year. We also provide competitive benefits, incentive compensation, and/or equity for certain roles. Company benefits include health. dental, and vision insurance. 401(k), and paid leave.

Please note that the base salary range (OR hourly rate) is a guideline, and individual total compensation may vary based on a number of factors such as qualifications, skill level, work location, and other business and organizational needs. This base pay range is specific to California and is not applicable to other locations. A reasonable estimate of the base salary range as of the date of this posting is: $64,400 to $107,500 annually

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.

For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people.

To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills. Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.

Thank you for considering a career at NXP.

To help you prepare for the different steps in our hiring process, see the following useful advice and tips.

Thank you for your interest in supporting our recruitment efforts.

Please note that NXP operates under a strict Preferred Supplier List (PSL) for all recruitment activities. Any candidate profiles or resume submitted without a prior written agreement or explicit request from our Talent Acquisition team will be considered unsolicited. Such submissions will be deemed free of any obligations, and no fees will be paid by NXP or any of its affiliates, subsidiaries, or divisions - regardless of whether the candidate is hired, either coincidentally or otherwise. Thank you for your understanding.

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