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Temporary Embedded Machine Learning Jobs (NOW HIRING)

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Embedded Software Engineer

Miramar, FL · On-site

$110K - $135K/yr

Key Responsibilities Computer Vision & Machine Learning * Develop, train, and deploy object ... Embedded & Systems Integration * Deploy inference to edge compute on production equipment; optimize ...

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration. * Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems. At MatrixSpace, Machine Learning ...

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Temporary Embedded Machine Learning information

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$70K

$153.4K

$174K

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

As of Sep 13, 2026, the average yearly pay for temporary embedded machine learning 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 is the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?

AspectTemporary Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant degrees in CS, EE, or data science; certifications in ML or embedded systemsDegrees in CS, EE; certifications in embedded systems or software development
Work EnvironmentProject-based, often in tech or manufacturing industries, with focus on ML integrationDesigning, developing, and testing embedded software in various industries like automotive, IoT
Industry UsageUsed in AI-driven embedded systems, IoT devices, and smart gadgetsUsed in consumer electronics, automotive, industrial automation

Temporary Embedded Machine Learning specialists focus on integrating machine learning models into embedded devices, often on a project basis. Embedded Software Engineers develop and maintain the software that runs directly on hardware. While both roles require embedded systems knowledge, the ML role emphasizes AI integration, whereas the embedded software engineer focuses on software development and system stability.

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Embedded Machine Learning & Radar Processing Intern - Summer 2027

San Jose, CA • On-site

$64K - $107K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 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 hands‑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 hands‑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 resource‑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 Hardware‑in‑the‑Loop (HIL) testing and embedded software development using custom APIs.
  • Experience with Robot Operating System (ROS/ROS2).
  • Bonus: Experience with FPGA‑based emulation platforms, hardware accelerators, or cycle‑accurate simulators.
  • Bonus: Familiarity with AI accelerators, NPUs, DSPs, or heterogeneous computing architectures.
Additional Qualifications
  • Excellent communication, technical writing, and presentation skills.
  • Self‑driven, highly motivated, and passionate about solving challenging engineering problems.
  • Ability to thrive in a fast‑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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