6 manufacturing engineering jobs found

Position: Senior Project Manager: NPI & Customer Onboarding Job Description: Arrow Electronics is a global provider of products, services, and solutions to industrial and commercial users of electronic components and enterprise computing solutions. Arrow Electronics guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2024 sales of $27.9 billion, Arrow develops technology solutions that improve business and daily life. The company maintains 228 locations worldwide with over 85 countries served. A Fortune 154 company with 21,500 employees worldwide, Arrow brings technology solutions to a breadth of markets, including telecommunications, information systems, transportation, medical, industrial, and consumer electronics. Arrow provides specialized services and expertise across the entire product lifecycle. Arrow does this by connecting customers to the right technology at the right place, time, and price. Arrow provides...

Position: Hardware Engineer (eInfochips) Job Description: Role: Hardware Engineer Location: Bedford, MA (Day-1 Onsite) What candidate will Be Doing: Experience on all stages of Hardware Product Development Lifecycle. Microcontroller: ST, Microchip, TI, based architecture design Analog and mixed signal design, ADC and DAC circuit design experience, Signal conditioning Operational amplifier, discrete component analog circuit design experience AC to DC and DC to DC power supply design Knowledge of interfaces like RS232, RS485, I2C, SPI, UART, Wi-Fi, BT, Zigbee would be plus. Electromagnetic Interference (EMI) / Electromagnetic compatibility (EMC) compliance for automotive products. Various tools like ORCAD, ALLEGRO, ALTIUM, PADS. Lab instruments like Multi- meters, Oscilloscope, Function Generator, Logic analyzer etc. What we are looking for: Responsible for the research, design, development and testing computer systems and components. Design new...

Position: Lead Data Engineer Job Description: Job Title: Data Engineer with ML Exposure Role Summary Tech Lead with core experience in Data Engineering and have good understanding of Machine Learning. Build and operate scalable, reliable data pipelines on Azure. Develop batch and streaming ingestion, transform data using industry standard data analytics and AI platform (PySpark/SQL), ADF/Snowflake or equivalent, enforce data quality, and publish curated datasets for analytics and ML. Good understanding of supervised, unsupervised learning, model evaluation, and feature engineering Key Responsibilities Design, build, and maintain ETL/ELT pipelines in Azure Data Factory and equivalent tool across Bronze → Silver → Gold layers/Medallion Architecture. Implement Delta Lake best practices (ACID, schema evolution, MERGE/upsert, time travel, Z-ORDER). Write performant PySpark and SQL; tune jobs (partitioning, caching, join strategies). Create reusable...

Position: Solution Engineer II (AI/ML lead) Job Description: Principal Accountabilities Collaborate with teams to translate business requirements into technical specifications, system architecture, and ML pipelines. Drive end-to-end solution delivery — including data preparation, model development, optimization, validation, deployment, and continuous improvement. Provide technical guidance and mentorship to junior engineers and data scientists; review and refine their designs and code implementations. Develop reusable ML frameworks, model training workflows, and inference pipelines for rapid prototyping and deployment. Evaluate and integrate state-of-the-art AI/ML technologies to continuously improve model efficiency and system design. Respond to client RFQs and provide robust technical proposals and solution architectures. Partner cross-functionally with system engineers, embedded developers, and application teams for integrated AI system delivery. Job...

Position: Senior Software Test Engineer (Einfochips) Job Description: What You'll Be Doing: Lead and collaborate with a team of test engineers to ensure effective and efficient testing practices. Partner with cross-functional teams—including software, hardware, and systems engineers—to define testing requirements and priorities. Design, develop, and execute comprehensive test plans and test cases for embedded software and hardware components. Drive the adoption of automated testing frameworks and tools to improve test coverage, reliability, and efficiency. Identify, document, and track defects; communicate findings clearly to development teams and ensure timely resolution. Conduct root cause analysis of defects and lead initiatives to enhance product quality and optimize testing processes. Actively participate in agile ceremonies, including sprint planning, retrospectives, and daily stand-ups, to support collaboration and transparency. Maintain and continuously...

Position: AI ML Engineer Job Description: 2 to 5+ years of experience in understanding the problem statement, data handling/triage, selecting and improving neural network models using deep learning frameworks to solve business problems. Excellent hands-on Coding in Python (mandatory), C/C++ or Java. Experience in developing AI/ML/DL models by using transfer learning or from scratch. Reasonably good knowledge on leading deep learning frameworks like Tensorflow, PyTorch, ONNX, Keras and others. Working experience in computer vision models like Yolo, Mobilenet, Resnet etc. Good understanding and working knowledge of AI/ML/DL on Edge (for e.g. Nvidia Jetson family, Qualcomm, Intel, Rpi). Thorough understanding and experience of DL/AI/ML lifecycle - full neural network pipeline, starting from data collection to model building to experimental framework to data analytics. Developed/optimized various models in computing domain (Video, Statistics , Audio and others)....