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SMT Professional Internship64840391705601120

Indeed

SMT Professional Internship

Reliably delivering what’s needed today There are few challenges as important today as creating solutions that support a cleaner, more energy\-efficient world. This requires a commitment to constantly improve the transportation of people and things. We, at BorgWarner, made that commitment decades ago and have since been creating technologies to improve efficiency, emissions and performance in all types of vehicles. Constantly pursuing what’s next Our proven track record has made us industry leader in clean, energy\-efficient propulsion system solutions for combustion, hybrid and electric vehicles. We uncover strong trends and use smart science and technology to address a future based on varying regulations, consumer demands and automaker requirements. Product leadership that’s changing the world Our employees have earned trusted partnerships with customers and suppliers around the world. We leverage these relationships to gain a deeper understanding of the challenges at hand and then do what it takes to develop the next solution. Our strong operations and commercialization expertise result in high volume availability of competitive, efficient products that truly drive change. BorgWarner PowerDrive Systems is currently looking for “dynamic, results driven” individual to join as Intern for SMT at our new production plant in Viana, Portugal. About the Role We are looking for a motivated Process Engineer Intern to join our team and support the launch and ramp\-up of new SMT (Surface Mount Technology) projects. This internship offers hands\-on experience in process optimization, data analysis, and collaboration with engineering and production teams to improve efficiency and quality. Responsibilities:* Support the launch and ramp\-up of new SMT projects, ensuring smooth transitions and process stability. * Analyze production data to identify root causes of scrap and implement corrective actions. * Contribute to improving yield (FPY) through process optimization initiatives. * Gain knowledge of SMT equipment such as pick \& place machines, reflow ovens, SPI, and AOI systems. * Follow the production flow from PCB loading to final inspection, identifying opportunities for improvement in cycle times, soldering quality, and line efficiency. * Assist in the validation of new products or process changes. * Update work instructions, control plans, and setup documentation. Profile We Are Looking For* Degree in Engineering ( Mechanical, Electrical, or related field). * Strong analytical and problem\-solving skills. * Interest in manufacturing processes and continuous improvement. * Ability to work collaboratively in a team environment. * Good communication skills and attention to detail. * Knowledge of Excel and data analysis tools is a plus. What we offer:* 12 months of internship Internship allowance * Meal allowance * Flexible working schedule Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.*Career Scam Disclaimer:* *BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third\-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.*

Tv. do Salgueiro 4, 4900-323 Viana do Castelo, Portugal

Negotiable Salary

Quality Engineering Professional Internship (M/F/D)64840374229377121

Indeed

Quality Engineering Professional Internship (M/F/D)

Reliably delivering what’s needed today There are few challenges as important today as creating solutions that support a cleaner, more energy\-efficient world. This requires a commitment to constantly improve the transportation of people and things. We, at BorgWarner, made that commitment decades ago and have since been creating technologies to improve efficiency, emissions and performance in all types of vehicles. Constantly pursuing what’s next Our proven track record has made us industry leader in clean, energy\-efficient propulsion system solutions for combustion, hybrid and electric vehicles. We uncover strong trends and use smart science and technology to address a future based on varying regulations, consumer demands and automaker requirements. Product leadership that’s changing the world Our employees have earned trusted partnerships with customers and suppliers around the world. We leverage these relationships to gain a deeper understanding of the challenges at hand and then do what it takes to develop the next solution. Our strong operations and commercialization expertise result in high volume availability of competitive, efficient products that truly drive change. BorgWarner PowerDrive Systems is currently looking for “dynamic, results driven” individual to join as Intern for Quality Engineering at our new production plant in Viana, Portugal. Project: Reduce scrap and work on preventing contamination by metallic particles. Responsibilities:* Initial Diagnosis + Map the production line to identify critical points with higher risk of metallic contamination. + Analyze scrap history, focusing on leakage and short\-circuit failures. + Identify contamination sources (particles, tool residues, cleaning failures, etc.). * Processes and Procedures + Audit tools and equipment to check for wear or failures generating metallic particles. + Ensure ESD and grounding controls are in place to prevent electrostatic interference. + Review handling procedures and operator practices to avoid contamination. * Data and Indicators + Track KPIs such as scrap percentage due to contamination and short\-circuit failure rates. + Prepare quality reports documenting occurrences, root causes, and corrective/preventive actions. + Use Pareto analysis to prioritize improvement actions. * Improvement Actions + Propose process improvements (e.g., material changes, physical barriers, new cleaning methods). + Support or create training sessions for operators on contamination risks. + Validate and monitor the effectiveness of implemented improvements. Profile:* Academic background in Engineering (Mechanical, Industrial, Production, Quality, or similar). Interest in Quality, Manufacturing, and Process Improvement. Strong analytical and problem\-solving skills. Knowledge of quality tools and production processes (preferred). Good organizational and communication skills. Proactive and detail\-oriented. What we offer:* 12 months of internship Internship allowance * Meal allowance * Flexible working schedule Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.*Career Scam Disclaimer:* *BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third\-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.*

Tv. do Salgueiro 4, 4900-323 Viana do Castelo, Portugal

Negotiable Salary

Intern for Automated Vision Systems (M/F/D)63822690416769122

Indeed

Intern for Automated Vision Systems (M/F/D)

Reliably delivering what’s needed today There are few challenges as important today as creating solutions that support a cleaner, more energy\-efficient world. This requires a commitment to constantly improve the transportation of people and things. We, at BorgWarner, made that commitment decades ago and have since been creating technologies to improve efficiency, emissions and performance in all types of vehicles. Constantly pursuing what’s next Our proven track record has made us industry leader in clean, energy\-efficient propulsion system solutions for combustion, hybrid and electric vehicles. We uncover strong trends and use smart science and technology to address a future based on varying regulations, consumer demands and automaker requirements. Product leadership that’s changing the world Our employees have earned trusted partnerships with customers and suppliers around the world. We leverage these relationships to gain a deeper understanding of the challenges at hand and then do what it takes to develop the next solution. Our strong operations and commercialization expertise result in high volume availability of competitive, efficient products that truly drive change. BorgWarner PowerDrive Systems is currently looking for “dynamic, results driven” individual to join as Intern for AOI and VCMI \- Automated vision systems at our new production plant in Viana, Portugal. Key Responsibilities: Support the Engineering team at the start of production for three automotive projects. Monitor production performance and implement solutions to improve false rejection rates and prevent false positives. Profile:* Bachelor's or Master's Degree in Electrical, Electronics or Electromechanical Engineering preferred * Strong analytical and organizational skills. * Basic knowledge of data analysis tools (Excel, Power BI, etc.). * Good communication skills and ability to work in a team. * Proactive and eager to learn in a dynamic environment. What we offer:* 12 months of internship Internship allowance * Meal allowance * Flexible working schedule Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.*Career Scam Disclaimer:* *BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third\-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.*

Tv. do Salgueiro 4, 4900-323 Viana do Castelo, Portugal

Negotiable Salary

Data Scientist & Machine Learning Engineer63822659526019123

Indeed

Data Scientist & Machine Learning Engineer

Data Science Mid\-level Lisboa, Braga, Viana do Castelo The Data Science area is dedicated to data analysis and modeling, solving diverse and multidisciplinary problems with the support of knowledge from various fields (mathematics, software engineering, and machine learning algorithms). Our focus lies on implementing impactful solutions that generate value. With this in mind, great emphasis is placed on our development methodologies and problem-solving approaches. Python is the primary programming language, and whenever necessary, it is applied in a distributed manner, enabling scalable solution implementation. Main Responsibilities As a Data Scientist \& Machine Learning Engineer, you will have the opportunity to solve real-world problems across key industries (Education, Science, Banking, Telecommunications, and Retail). Your mission will involve applying various data science techniques—such as training and building predictive models, and analyzing and visualizing data—to specific challenges within these sectors, aiming to extract valuable insights through the extraction, preparation, and manipulation of large volumes of data. **Daily Responsibilities:** Implement solutions for data extraction, transformation, and standardization, turning raw data into meaningful and relevant information; Research, analyze, and implement modern and efficient algorithms to make optimal use of the datasets under analysis; Conduct exploratory data analyses and produce reports based on the data, enabling actionable conclusions; Optimize overall solutions using machine learning models and insights derived from data analysis. **Stacks:** Python, PySpark, R Requirements Academic Background Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Computational Science, or related fields. Professional Experience Minimum of 1 year of experience as a Data Scientist, with solid knowledge of SQL, data manipulation, and data visualization techniques. Technical Skills Experience in Python programming, particularly with machine learning and mathematical libraries such as NumPy, SciPy, scikit\-learn, pandas, Keras, TensorFlow, PyTorch, or PySpark. Machine Learning Knowledge Experience with supervised and unsupervised machine learning techniques, as well as data mining and pattern recognition algorithms. Data Exploration Enthusiasm for exploring, preparing, and transforming data, converting raw data into useful information. Languages Proficiency in English, both spoken and written. **Bonus Points:** Experience with Microsoft Azure, GCP, and/or AWS; Knowledge of statistics and mathematical concepts, such as linear and logistic regression, data distribution, and normality tests.

Tv. do Salgueiro 4, 4900-323 Viana do Castelo, Portugal

Negotiable Salary