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NXP Semiconductors

Automotive semiconductors and secure embedded solutions

Product Engineer - Global Operation Engineering

Full-TimeUpdated on 10/15/2026
No salary listed
Mid
Bachelor's, Master's
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
In Person
Manufacturing Quality & TestQuality Engineering

About the job

Requirements
  • A Master's or Bachelor's degree in Electronics/Electrical Engineering or Applied Physics.
  • Demonstrated knowledge and application of statistical analytic skills.
  • Strong written and verbal communication skills.
  • Ability to drive projects to completion as a team player.
  • Flexibility in work assignments.
  • Discipline, commitment to the job, and high career aspirations.
Responsibilities
  • Serve as technical owner of assigned products, managing cost, quality, and related technical aspects.
  • Drive and deliver product cost and quality improvements in a timely manner, including integral yield improvement, test time reduction, cost of non-quality reduction, and product quality improvement such as adopting zero-defect best practices.
  • Collaborate with the Business Line on business creation and with Manufacturing to deliver high-quality, manufacturable products and test solutions that meet or exceed time-to-market, product-cost, and business-fulfillment requirements.
  • Collaborate with Factory Engineering to resolve product-related manufacturing issues, establish bill of materials (BOM), define product flow, and disposition non-conforming material.
  • Support root-cause analysis and test-containment solutions, including 8D responses to customer application failures.
  • Support fab, assembly, and test-center transfers and volume ramp-up.
  • Support New Product Introduction characterization and qualification, as well as volume-production ramp-up.
Desired Qualifications
  • Knowledge of microcontroller or microprocessor fundamentals.

About the company

NXP Semiconductors designs and sells semiconductor chips for vehicles and other devices. Its products include automotive-grade microcontrollers and other ICs used in engines, infotainment, safety systems, and networked car architectures. These chips process data, run software, and enable features such as advanced driver assistance and vehicle connectivity, often with strong security and real-time performance. Unlike some peers, NXP became an independent company after Philips spun off its semiconductor unit in 2006 and later merged with Freescale in 2015, building a focused strength in automotive semiconductors and microcontrollers. This gives it a clear niche in the market and the goal of growing as a standalone leader in smarter, connected vehicles and related technologies.

Company Size

10,001+

Company Stage

IPO

Headquarters

Eindhoven, Netherlands

Founded

2004

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Simplify's Take

What believers are saying

  • Q2 2026 revenue reached $3.5 billion, up 19%, with 35% operating margin.
  • VSMC opened September 28, 2026; volume production starts Q1 2027, adding supply resilience.
  • EasyEVSE and wildfire-drone demos on September 2026 broaden NXP into physical AI markets.

What critics are saying

  • Ambarella acquisition talks on July 31, 2026, expose NXP to strategic distraction and overpayment.
  • NXP still depends on automotive demand, third-party fabs, and U.S.-China trade restrictions.
  • If automakers standardize on rival SDV stacks, NXP's automotive moat erodes over 2027-2029.

What makes NXP Semiconductors unique

  • NXP dominates automotive control stacks with S32N and S32K design wins in 2026.
  • VSMC's Singapore fab gives NXP committed 300mm specialty capacity starting Q1 2027.
  • NXP combines edge AI, connectivity, and security for software-defined vehicles and robotics.

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Benefits

Remote Work Options

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
TimesTech
Oct 10th, 2026
NXP & Forlinx: empowering industrial Edge AI with i.MX 95 and Ara240 M.2 AI accelerator.

NXP & Forlinx: empowering industrial Edge AI with i.MX 95 and Ara240 M.2 AI accelerator. October 10, 2026 Forlinx, an NXP Gold Partner, is bringing higher AI performance to industrial edge applications with the FAI-ARA240-M, an M.2 AI accelerator based on the Ara240 discrete NPU. With decades of experience in ARM architecture and deep integration within NXP's ecosystem, Forlinx and NXP are helping advance Edge AI capabilities with the FAI-ARA240-M AI accelerator. Multi-Modal industrial security solution. Across industries like industrial IoT, edge AI, and autonomous systems, single-sensor data is rarely enough. Real-time decision-making requires fusing high-bandwidth data streams to execute complex, safety-critical tasks smoothly. To address these requirements, Forlinx and NXP have developed a multimodal AI solution for industrial security based on i.MX 95 platform and the FAI-ARA240-M. The solution provides a complete processing pipeline capable of handling multiple data types, including text, images and video, enabling them to be processed and analyzed at the edge. The solution combines the 8 eTOPS eIQ Neutron NPU integrated into the NXP i.MX 95 with the Ara240 DNPU, delivering up to 40 eTOPS of additional AI acceleration. By distributing AI workloads across the two NPUs, the architecture provides additional compute capacity for demanding inference tasks while allowing the host processor to remain available for other system functions. This approach demonstrates how dedicated AI acceleration can be integrated into an existing embedded platform without requiring a complete redesign of the host system. FAI-ARA240-M Built for the industrial Edge. The FAI-ARA240-M is a purpose-built M.2 module designed to bring massive AI throughput to existing industrial platforms. It enables complex AI workloads to run independently, ensuring the host processor remains responsive for primary control tasks. Key technical highlights: Massive Throughput: With up to 40 equivalent tera operations per second (eTOPS) of dedicated AI compute performance, the FAI-ARA240-M enables real-time execution of advanced models that were previously limited to cloud platforms. This makes it ideal for demanding workloads such as high-speed computer vision, multi-stream intelligent video analytics, large-scale industrial inspection and autonomous navigation systems. Large-Scale Model Support: Available with 8GB or 16GB of low-power double data rate 4 (LPDDR4) memory, the accelerator handles larger models and high-throughput workloads, including vision, intelligent video analysis and large language learning models (LLMs) directly at the edge. Seamless Software Ecosystem: Built on NXP's mature AI software ecosystem, the FAI-ARA240-M supports popular frameworks including TensorFlow, PyTorch, ONNX. Using the eIQ AI software environment, developers can rapidly deploy trained models while benefiting from support for multiple precision formats such as INT4, INT8, and mixed precision. This significantly reduces development complexity and accelerates time-to-market. Standardized Integration: The M.2 M-Key (2280) form factor with PCIe Gen4 (and USB 3.2 Gen1 support) allows for easy integration into NXP-based platform, such as the i.MX 8M Plus or i.MX 95 series. Hardened Security & Reliability: Features secure boot and root-of-trust capabilities, industrial temperature ratings, and a 10-15 year product longevity. YOLOv8 multi-stream video detection demo. To showcase the integration of the hardware and software platform, Tryitfirst India Private Limited. demonstrate a YOLOv8-based video detection application that highlights the ease of SDK deployment and the flexibility of the solution. The setup is straightforward: the FAI-ARA240-M is connected to the OK-MX9596-C development board through an M.2 adapter and PCIe interface. After installing the Ara240 SDK and YOLOv8 GStreamer package, developers can run single-, four-, or eight-stream video object detection directly on the platform. This demonstration provides a practical example of how dedicated AI acceleration can be applied to multi-stream computer vision workloads at the industrial edge. Powering next-generation applications. Industrial Automation: Real-time defect detection, machine vision, and multi-modal inspection. Intelligent Security: Multi-stream video analytics, people/vehicle detection, and perimeter monitoring. Robotics: On-device perception, object detection, and autonomous navigation. Smart Transportation: Traffic monitoring and real-time video analytics. The FAI-ARA240-M gives developers a practical way to scale AI performance without replacing the host platform. By combining dedicated AI acceleration, flexible memory configurations, and NXP's software ecosystem, it helps bridge the gap between prototype and production for industrial Edge AI applications.

Tech News Tube
Sep 28th, 2026
NXP says Singapore fab with Vanguard is its biggest investment since Freescale.

NXP says Singapore fab with Vanguard is its biggest investment since Freescale. * Digitimes Sep 28, 2026, 4:36 am116 ptsTrending NXP Semiconductors CEO Rafael Sotomayor said the Singapore fab NXP built with Vanguard International Semiconductor (VIS) is NXP's largest investment since it acquired Freescale in 2015. The 12-inch fab, run by the joint venture VisionPower Semiconductor Manufacturing Company (VSMC), opened in Tampines,... Read Article Share Article * email * x.com * facebook * pocket * reddit * tumblr * linkedin * pinterest Tech News Tube is a real time news feed of the latest technology news headlines. Follow all of the top tech sites in one place, on the web or your mobile device.

The Straits Times
Sep 28th, 2026
Semiconductor firm VSMC opens first plant in Singapore, to create 1,600 jobs.

Semiconductor firm VSMC opens first plant in Singapore, to create 1,600 jobs. The US$7.8 billion fabrication plant in Tampines Wafer Park will produce 44,000 12-inch wafers a month at full capacity by 2029. Published Sep 28, 2026, 03:55 PM Updated Sep 28, 2026, 05:50 PM SINGAPORE - Taiwan's Vanguard International Semiconductor (VIS) and Dutch chipmaker NXP Semiconductors have opened their first VisionPower Semiconductor Manufacturing Company (VSMC) microchip fabrication plant here. The US$7.8 billion (S$10.5 billion) fab in Tampines Wafer Fab Park, which has already produced its first sample lot, will create 1,600 jobs and produce 44,000 12-inch wafers a month at full capacity by 2029. A wafer is a thin, round slice of semiconductor material, such as crystalline silicon, from which integrated circuits, also called chips, are fabricated. VSMC will produce chips for mixed-signal, power management, analogue, and interposer applications for high-performance computing, mobile, automotive, and industrial end uses. Interposers connect powerful processors to high-bandwidth memory stacks in data centres to handle artificial intelligence workloads, among other applications. Speaking at the opening ceremony on Sept 28, Rafael Sotomayor, chief executive officer of NXP, said VSMC will deliver innovative technologies that enable the next generation of smart devices and physical AI systems - which integrate AI with hardware that can perceive, reason, and act in real-world environments. The fab uses a fully automated smart manufacturing model, integrating AI and digital management technologies to improve operational efficiency and customer service quality.

Yahoo Finance
Sep 18th, 2026
NXP Semiconductors COO sells 1,000 shares at $226 under trading plan

Andrew Micallef, chief operations officer at NXP Semiconductors, sold 1,000 shares of the company on 15 September at a weighted average price of $226.04, according to an SEC Form 4 filing. The transaction was conducted under a pre-established 10b5-1 trading plan, which allows company insiders to sell shares at predetermined times to avoid accusations of insider trading. NXP Semiconductors' stock has returned 2.2% this year through 16 September, trailing the S&P 500's 11.3% and Nasdaq Composite's 12.3%. The semiconductor company reported second-quarter revenue of $3.5 billion, up 19% year over year, and expects third-quarter revenue of approximately $3.8 billion, representing an 18% increase from the prior year.

Flywheel Publishing, LLC
Sep 18th, 2026
In AI infrastructure race, Nokia's optical Bet outpaces IBM's software pivot.

In AI infrastructure race, Nokia's optical Bet outpaces IBM's software pivot. Nokia and IBM have spent five years chasing similar returns, but their bets on where AI infrastructure spending lands could not be more different, and 2026 is forcing a reckoning between the two approaches. Nokia (NYSE:NOK | NOK Price Prediction) and IBM (NYSE:IBM) have delivered similar five-year returns of 92.7% and 83.9%, respectively. Year to date, the paths diverged sharply. Nokia is up 62.8% after a Q2 beat-and-raise. IBM is down 19.7% after a rare EPS miss. AI orders lift Nokia. Mainframe timing sinks IBM. Nokia's July report showed AI and cloud customer revenue more than doubling, up 105% in constant currency, with Q2 order intake of €2.8 billion in that segment. Optical Networks grew 20% and IP Networks 16%. CEO Justin Hotard said, "Demand remains strong, while supply continues to be the main industry constraint." IBM went the other way. Q2 revenue grew just 1.1%, and operating EPS of $2.93 missed the $2.97 consensus. Software rose 5.1%, with Red Hat up 11%, but Infrastructure fell 7.4% as IBM Z mainframe revenue collapsed 42% in a late-cycle trough. CEO Arvind Krishna conceded the quarter "fell short of expectations," blaming deferred capex deals rather than lost demand. Plumbing versus what runs on it. The two reside in AI infrastructure at different layers. Nokia sells physical plumbing: optical transport (fiber gear moving data between and inside data centers) and IP routing (switches directing traffic). Its Infinera acquisition and planned purchase of NXP's fab in Chandler, Arizona, for indium phosphide production are bets on owning that supply chain. IBM sells what runs on top: Red Hat OpenShift, watsonx orchestration, HashiCorp, Confluent, and mainframes that process over 70% of the world's transaction value. (The suppliers benefiting from that buildout, from power to cooling to networking, are the subject of a free report we put together.) | Lens | Nokia | IBM | | Core Bet | Optical and IP for AI data centers | Hybrid cloud software and mainframe | | Q2 Growth Engine | AI & Cloud sales +105% | Data software +18% | | Weak Spot | Fixed Networks −3% | IBM Z −42% | | Revenue Base | Carrier and hyperscaler capex cycles | ~80% recurring software | A patent portfolio IBM cannot match. Nokia also runs a technology licensing business through Technology Standards, which grew 15% in the quarter. That royalty stream on cellular standards has no IBM analog in networking, and it cushions Nokia when carrier spending sags. A majority of Nokia's sales are billed in dollars despite its Finnish base, so a stronger euro would compress reported profits for U.S. ADR holders. Next test: deferred deals and supply ramps. IBM claims delayed Q2 transactions were "deferral and not destruction" and lowered its full-year constant-currency revenue growth guidance to 4%-5%. Nokia expects combined IP and Optical revenue to grow 18%-20% and aims for indium phosphide fab volume production by Q4 2026. What the market is paying for. At $10.60 per share, Nokia trades at a forward P/E near 22, pricing in a durable AI infrastructure supercycle and successful U.S. manufacturing pivot. IBM, at $237.75, carries a forward P/E near 18, a 2.8% yield, and 31 consecutive years of dividend increases. One is priced as a cyclical growth story that is delivering. The other is priced as a compounder working through an execution stumble and an active securities fraud inquiry. Got $1,000? Before you buy IBM, read this. If you have cash sitting in your account right now, give this two minutes. After more than two decades of helping investors beat the market, our top analysts at 24/7 Wall St. put together a definitive report on the Top 10 Stocks To Buy Today. And IBM wasn't one of them. They combed the entire market. It's not 10 ideas, not 10 stocks everyone is talking about, it's what their research points to as the 10 best stocks to buy right now, and it's free. Read more here and see which stocks made the list ->> Trey Thoelcke Trey has been an editor and author at 24/7 Wall St. for more than a decade, where he has published thousands of articles analyzing corporate earnings, dividend stocks, short interest, insider buying, private equity, and market trends. His comprehensive coverage spans the full spectrum of financial markets, from blue-chip stalwarts to emerging growth companies. Beyond 24/7 Wall St., Trey has created and edited financial content for Benzinga and AOL's BloggingStocks, contributing additional hundreds of articles to the investment community. Trey's editorial expertise extends across multiple publishing environments. He served as production editor at Dearborn Financial Publishing and development editor at Kaplan, where he helped shape financial education materials. Earlier in his career, he worked as a writer-producer at SVE. His freelance editing portfolio includes work for prestigious clients such as Sage Publications, Rand McNally, the Institute for Supply Management, the American Library Association, Eggplant Literary Productions, and Spiegel. Outside of financial journalism, Trey writes fiction and has been an active member of the writing community for years, moderating workshop sessions at regional conventions.