Senior Software Engineer at NXP Semiconductors

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

09 Sep, 26

Salary

0.0

Posted On

11 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Embedded ML, TensorFlow, PyTorch, C, C++, Python, LLM, Microcontrollers, Model Optimization, RTOS, Embedded Software Development, Machine Learning Inference

Industry

Semiconductor Manufacturing

Description

Responsibilities: Develop and optimize Embedded ML inference engines for microcontrollers. Train and fine-tune machine learning models using LLM, TensorFlow and/or PyTorch to be deployed on resource-constrained devices. Implement and experiment with techniques to improve model performance on low-power and memory-limited devices. Collaborate with cross-functional teams to integrate ML solutions into embedded systems. Conduct research on new machine learning techniques and tools specifically for Embedded ML applications. Optimize machine learning algorithms to meet the performance and resource constraints of embedded systems. Stay up-to-date with the latest advancements in Embedded ML by reading and interpreting technical articles and research papers. Requirements: Master’s degree in Computer Science, Electrical Engineering, or a related field. Strong experience with LLM, TensorFlow and/or PyTorch for model training and deployment. Proficiency in programming languages such as C, C++, and Python. Extensive experience in embedded software development and machine learning. Excellent programming skills in at least one of the following: C, C++, or Python. Proven ability to read and understand technical articles and research papers in English. Strong problem-solving skills and attention to detail. Good communication skills and the ability to work collaboratively in a team environment. Preferred Qualifications: Proven experience with deploying machine learning models to embedded devices, specifically for Embedded ML applications. Familiarity with embedded systems, microcontrollers, and real-time operating systems (RTOS). Deep understanding of software development life cycle and best practices for embedded systems. Previous experience in a full-time role or significant project in a related field. Expertise in optimization techniques for low-power and low-latency machine learning models. More information about NXP in Greater China... #LI-d6f4 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. Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page. 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.

Responsibilities

Develop and optimize Embedded ML inference engines and machine learning models for resource-constrained microcontrollers. Collaborate with cross-functional teams to integrate these ML solutions into embedded systems while conducting research on new techniques.