Chemical Engineering Internship jobs at Intel - 32 jobs

RELOCATION ASSISTANCE:CLEARANCE TYPE:TRAVEL:DescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought-leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. An internship at Northrop Grumman is unique. Sure, you'll learn new skills, explore our enterprise, network with experts, connect with thought leaders, and finish with a resume that opens doors. But you'll gain something even more valuable: pride in what you've done. Join us and launch your career. We'll support you with training, employee resource groups, and our shared vision of global security. Northrop Grumman is seeking Manufacturing Engineers for an internship opportunity. This position will be located at our Mission Systems Sector in Sunnyvale, CA. The qualified candidate will become part of Northrop Grumman's Machinery or Launcher operations group working in either the Welding/Fabrication, Machining, Assembly, or the Launcher department. Basic Qualifications A candidate must meet ALL of the below criteria. The candidate must: Be a student who is enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university and will be enrolled full time in Fall 2026. Be majoring in or having majored in a STEM (Science, Technology, Engineering or Math) degree (BSME or AS ) Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2026. Be able to obtain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) The ability to obtain Special Access Program within a reasonable period of time, as determined by the company to meet its business needs Preferred Qualifications: Have an overall cumulative GPA of 3.0/4.0 or higher Exposure or specialization in any or all of the following: welding, machining, and/or mechanical assembly processes. Experience leading technical projects requiring project planning, scheduling, resource identification and financial management. At Northrop Grumman, our internship pay rates are standardized and take into account three main factors: the anticipated graduation date of the individual, the cost of labor of the geographic location, and whether the internship is considered technical or administrative. Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. Intern Pay Range: Bachelors - $25.75 to $32.75 Masters - $37.25 to $40.00 campusjobs Primary Level Salary Range: $0.00 - $0.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. **Your Impact** Dive into the development and implementation of innovative generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! **Minimum Qualifications** + Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline. + Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity. + Able to legally live and work in the country for which you're applying, without visa support or sponsorship. **Preferred Qualifications** + Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms. + Knowledge of data pipeline design, tools, and maintenance. + Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail). + Familiarity with MCP/Agent workflows or supply chain processes. + Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts. ProductIntern26 **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. **Your Impact** Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! **Minimum Qualifications** + Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. + Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. + Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. + Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. **Preferred Qualifications** + Experience with inference engines such as vLLM, Triton, or TorchServe. + Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. + Familiarity with agent frameworks and cloud-native platforms. + Experience with cybersecurity principles and Python programming, including common AI libraries. + Exposure to scalable computing environments and best practices for secure, efficient AI deployment. ProductIntern26 **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. Your Impact Dive into the development and implementation of innovative generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline. * Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity. * Able to legally live and work in the country for which you're applying, without visa support or sponsorship. Preferred Qualifications * Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms. * Knowledge of data pipeline design, tools, and maintenance. * Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail). * Familiarity with MCP/Agent workflows or supply chain processes. * Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. Your Impact Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. * Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. * Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. Preferred Qualifications * Experience with inference engines such as vLLM, Triton, or TorchServe. * Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. * Familiarity with agent frameworks and cloud-native platforms. * Experience with cybersecurity principles and Python programming, including common AI libraries. * Exposure to scalable computing environments and best practices for secure, efficient AI deployment. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. What You'll Do As a Process Engineer Intern, you'll work on some of the most advanced and challenging technologies in the world, shaping the way process engineering evolves for our business and the semiconductor industry. Process Engineers at Applied enjoy a diverse and exciting work experience-no two days are the same and the challenges are complex and interesting. You will experiment, learn, and collaborate with some of the brightest minds in the semiconductor and display industries, partnering with our globally recognized R&D teams on state-of-the-art research and development projects. Visit our Engineering Careers page to learn more about engineering at Applied. Minimum Qualifications: * Student must be pursuing a Bachelor's degree in Material Science, Chemical Engineering, or a related field, and be in good academic standing at their university Preferred Qualifications: * Semiconductor manufacturing related internship or academic experience * Demonstrated leadership experience * Able to solve complex problems and take a new perspective on existing solutions * Ability to exercise judgment based on the analysis of multiple sources of information * Explains difficult or sensitive information; works to build consensus * Flexible and adaptable mindset who thrives in a results-driven culture Additional Information Time Type: Full time Employee Type: Intern / Student Travel: Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_****************, or by calling our HR Direct Help Line at ************, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

**Introduction** A career in IBM Software means you'll be part of a team that transforms our customer's challenges into solutions. Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. . **Your role and responsibilities** As a Site Reliability Engineer, you will work in an agile, collaborative environment to build, deploy, configure, and maintain systems for the IBM client business. In this role, you will lead the problem resolution process for our clients, from analysis and troubleshooting, to deploying the latest software updates & fixes. Your primary responsibilities include: * 24x7 Observability: Be part of a worldwide team that monitors the health of production systems and services around the clock, ensuring continuous reliability and optimal customer experience. * Cross-Functional Troubleshooting: Collaborate with engineering teams to provide initial assessments and possible workarounds for production issues. Troubleshoot and resolve production issues effectively. * Deployment and Configuration: Leverage Continuous Delivery (CI/CD) tools to deploy services and configuration changes at enterprise scale. * Maintenance and Support: Tasks related to applying security patches and upgrades, and collaborating with Product support for issue resolution. **Required technical and professional expertise** * System Monitoring and Troubleshooting: knowledge in monitoring/observability, issue response, and troubleshooting for optimal system performance. * Automation: knowledge in automation for production environment changes, streamlining processes for efficiency, and reducing toil. * Linux: Knowledge of Linux operating systems. * Operation and Support Experience: Understanding in handling day-to-day operations, alert management, incident support, migration tasks, and break-fix support. * Scripting: knowledge or experience of Python, go or bash. * Familiar with cloud providers like IBM Cloud, AWS, Azure or GCP. **Preferred technical and professional experience** * Kubernetes/OpenShift: knowledge or experience of Kubernetes/OpenShift environments. * Automation/Scripting: knowledge or experience of Ansible, Python, Terraform, and CI/CD tools such as Jenkins, IBM Continuous Delivery, ArgoCD. * Monitoring/Observability: knowledge or experience crafting alerts and dashboards using tools such as Instana, New Relic, Grafana/Prometheus. * DBA: Interest or experience configuring and maintaining SQL, NoSQL, and data streaming technologies (e.g. PostgreSQL, CouchDB, Redis, Kafka, Spark, etc.). IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe! What You'll Do * Work towards results-oriented research goals, while identifying intermediate achievements. * Contribute to research and advanced development that can be applied to Adobe product development. * Help integrating novel research work into Adobe Firefly product. * Lead and collaborate on projects across different teams. What You Need to Succeed * Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning * Some experience in Generative AI * Experience communicating research to public audiences of peers. * Experience working in teams. * Knowledge in Python and typical machine learning development toolkits. * Ability to participate in a full-time internship between May-September. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our research labs are actively published in leading journals and conferences, work with product teams on high profile features, and explore new product opportunities across various domains. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis. Adobe Research focuses on the following research areas: Content Intelligence AI & Machine Learning Computer Graphics (2D&3D) Data Intelligence Computer Vision, Imaging & Video Audio Systems and Languages Natural Language Processing Human Computer Interaction AR, VR & 360 Photography Document Intelligence Intelligent Agents & Assistants What you will do Under the direction of an Adobe Research mentor, you will: Pursue a research problem to apply to Adobe's products and with the possibility of academic publication Develop new algorithms, run experiments, and produce demonstration prototypes Document and present your work, both verbally and in writing What you will need Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered) Sufficient research skills and background in your chosen subject area Strong communication skills and teamwork experience Passion for solving real-world problems with web-scale data using and inventing innovative Machine Learning algorithms. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

**Change the world. Love your job.** Interface across various work areas and organizations to help with the design, development, and analysis of different semiconductor packaging technologies to enable differentiation for TI's analog and embedded processing products. Assignments may include participation in cross-functional teams to develop internal and external solutions for semiconductor packaging technologies, including Wirebond, Flip Chip, Modules, SIPs and other advanced packages at different stages of readiness. Cultivate packaging advancements with work in material, mechanical, thermal, and electrical characterization. TI's innovative packaging technologies are designed to solve customers' problems by delivering advances in miniaturization, integration, high reliability, high performance, and low power. Put your talent to work with us as a Packaging Engineering Intern ! **Why TI?** + Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. + We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI (*************************************** UI/CandidateExperience/en/sites/CX/pages/4012) + Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. **About Texas Instruments** Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws. If you are interested in this position, please apply to this requisition. **Minimum Requirements:** + Currently pursuing an Masters degree in Mechanical Engineering, Materials Science, Chemical Engineering, Physics or Electrical Engineering. + Cumulative 3.0/4.0 GPA or higher **Preferred Qualifications:** + Semiconductor packaging knowledge is preferred (processes, assembly, reliability, materials, characterization, FA) + Demonstrated analytical and problem solving skills + Strong written and verbal communication skills + Ability to work in teams and collaborate effectively with people in different functions + Strong time management skills that enable on-time project delivery + Ability to build strong, influential relationships + Ability to work effectively in a fast-paced and rapidly changing environment + Ability to take the initiative and drive for results **Base Range Info:** Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. Your base pay will depend on your skills, qualifications, experience, and location. The base pay range for this role is shown below. **Base Range:** $45.75 - $57.00 per hour **ECL/GTC Required:** Yes

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity at Adobe, we're reimagining how businesses connect with their customers - and we want you to be part of it. As a Machine Learning Engineer Interns on the Digital Experience team, you'll apply innovative AI and ML techniques to power next-generation marketing, personalization, and decisioning systems. You'll collaborate closely with engineers, and product managers to build intelligent, autonomous products that shape how brands understand and engage their audiences. This internship is fast-paced, creative, and high-impact - with opportunities to contribute to real-world AI products used by millions. Many of our past interns have seen their work integrated into production systems at Adobe. What You'll Do * Advance Adobe AI: Push the boundaries of Adobe's AI solutions by improving model performance or building high-impact AI products for marketing, personalization, and customer experience. * Build, Scale, and Deploy ML Systems: Design, develop, and scale applications powered by predictive and generative models - including multimodal autonomous agents and agentic workflows, predictive recommendation and personalization models for adaptive, collaborative decision-making, * Operationalize ML: Apply ML and GenAI Ops guidelines to create scalable, reliable, and efficient AI/ML workflows. * Own the End-to-End Lifecycle: Contribute to architecture, experimentation, deployment, and production operations. * Shape Model Strategy: Analyze data and model performance to recommend the right algorithms, evaluation metrics, and governance approaches. * Collaborate and Innovate: Partner across research and engineering teams to translate innovative ideas into production-ready solutions. What You'll Bring * Enrolled in a Bachelor's, Master's or PhD program in Computer Science, Applied Mathematics, Statistics, or a related STEM field * Experience or research in one or more of the following: LLMs, NLP/NLU, Computer Vision, Information Retrieval, Context Engineering, ML Architecture, Optimization, Agent Systems, or Runtime Performance. * Strong foundation in statistical modeling, machine learning, and data analytics, with hands-on experience solving real-world problems. * Experience building or scaling data pipelines or ML systems. * Familiarity or interest in Agent Orchestration and A2A communication frameworks is a plus. * Proficiency in Python, Scala, Java, or SQL. * Hands-on experience with ML frameworks such as Hugging Face, Ray, scikit-learn, SparkML, TensorFlow, or PyTorch. * Excellent communication, collaboration, and problem-solving skills. Why Adobe At Adobe, you'll work alongside passionate innovators who are shaping the future of creativity, marketing, and analytics. Gain hands-on experience with production-scale AI systems, receive mentorship from industry experts, and make impactful contributions. Join us and help redefine what's possible with AI in the marketing and personalization business. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems Collaborate with product management and engineering groups to develop new products and features. What You Need to Succeed Currently enrolled full time and pursuing a Master's or PhD degree in Computer Science, Computer Engineering; or equivalent experience with an expected graduation date of December 2026 - June 2027 Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. Proficient in one or more programming languages such as Python, Java and C Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn Strong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a team player Ability to participate in a full-time internship between May-September Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

NVIDIA builds the most advanced data center GPUs in world that are utilized in a growing number of computing areas ranging from life sciences to deep learning to quantum chemistry. NVIDIA strives to deliver the best possible performance, which allows researchers and scientists to do more world-changing work than ever before. We are now looking for a Performance Engineer Intern focused on Deep Learning (DL) & High-Performance Computing (HPC) applications to join our diverse team. Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC frameworks/applications on Nvidia and as well as competitive products. The data that we collect drives marketing/sales collaterals as well as engineering studies for current and future products. In some instances, we'll write scripts that improve the team's ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. Preferred duration of the internship: 8 months minimum What you'll be doing: * Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications * Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams * Develop Python scripts to automate the testing of DL & HPC-focused applications * Work with internal engineering team to debug performance issues * Learn to use the latest applications in the fields of Deep Learning and HPC * Assist with the development of tools and processes that improve our ability to perform automated testing What we need to see: * Pursuing bachelors degree in Computer Engineering, Computer Science or related technical field * Excellent programming and debugging skills in a scripting language such as Python or Unix shell * Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred) * Proficient in compiling software from source code, including debugging errors encountered * Excellent English verbal and written interpersonal skills to improve collaboration with coworkers * Excellent data analysis skills and the ability to summarize findings in a written report * Familiarity using a container platform such as Docker or Singularity Ways to stand out from the crowd: * Experience using a GPU-enabled deep learning framework such as TensorFlow, PyTorch, MXNet, or TensorRT * Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc… * Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure * GPU programming experience in CUDA, OpenACC, or OpenCL * Familiarity with software compilers such as GNU, Intel Composer, or PGI * Previous experience with computer clusters, Slurm, Kubernetes. We have some of the most forward thinking and hardworking people in the world working for us and our best-in-class engineering teams are rapidly growing. We are building a team that will help shape the future of data center computing. If you are passionate about new technologies, care about improving efficiency and quality, and want to be at the forefront of AI & HPC, we would love for you to join us. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until December 14, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe! What You'll Do * Work towards results-oriented research goals, while identifying intermediate achievements. * Contribute to research and advanced development that can be applied to Adobe product development. * Help integrating novel research work into Adobe Firefly product. * Lead and collaborate on projects across different teams. What You Need to Succeed * Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning * Some experience in Generative AI * Experience communicating research to public audiences of peers. * Experience working in teams. * Knowledge in Python and typical machine learning development toolkits. * Ability to participate in a full-time internship between May-September. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

NVIDIA builds the most advanced data center GPUs in world that are utilized in a growing number of computing areas ranging from life sciences to deep learning to quantum chemistry. NVIDIA strives to deliver the best possible performance, which allows researchers and scientists to do more world-changing work than ever before. We are now looking for a Performance Engineer Intern focused on Deep Learning (DL) & High-Performance Computing (HPC) applications to join our diverse team. Our team is responsible for generating benchmark data across a rapidly growing catalog of Deep Learning & HPC frameworks/applications on Nvidia and as well as competitive products. The data that we collect drives marketing/sales collaterals as well as engineering studies for current and future products. In some instances, we'll write scripts that improve the team's ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. Preferred duration of the internship: 8 months minimum What you'll be doing: Plan and execute GPU performance benchmarking across a wide range of HPC and DL frameworks and applications Aggregate, analyze, and generate written and visual reports with the testing data for internal sales, marketing, SW, and HW teams Develop Python scripts to automate the testing of DL & HPC-focused applications Work with internal engineering team to debug performance issues Learn to use the latest applications in the fields of Deep Learning and HPC Assist with the development of tools and processes that improve our ability to perform automated testing What we need to see: Pursuing bachelors degree in Computer Engineering, Computer Science or related technical field Excellent programming and debugging skills in a scripting language such as Python or Unix shell Advanced knowledge using Linux based systems (Ubuntu and CentOS strongly preferred) Proficient in compiling software from source code, including debugging errors encountered Excellent English verbal and written interpersonal skills to improve collaboration with coworkers Excellent data analysis skills and the ability to summarize findings in a written report Familiarity using a container platform such as Docker or Singularity Ways to stand out from the crowd: Experience using a GPU-enabled deep learning framework such as TensorFlow, PyTorch, MXNet, or TensorRT Experience using GPU-enabled HPC applications such as LAMMPS, GROMACS, Amber, RTM, etc… Experience with GPU/CPU benchmarking on cloud solutions from AWS, GCP, Azure GPU programming experience in CUDA, OpenACC, or OpenCL Familiarity with software compilers such as GNU, Intel Composer, or PGI Previous experience with computer clusters, Slurm, Kubernetes. We have some of the most forward thinking and hardworking people in the world working for us and our best-in-class engineering teams are rapidly growing. We are building a team that will help shape the future of data center computing. If you are passionate about new technologies, care about improving efficiency and quality, and want to be at the forefront of AI & HPC, we would love for you to join us. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until December 14, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Change the world. Love your job. Interface across various work areas and organizations to help with the design, development, and analysis of different semiconductor packaging technologies to enable differentiation for TI's analog and embedded processing products. Assignments may include participation in cross-functional teams to develop internal and external solutions for semiconductor packaging technologies, including Wirebond, Flip Chip, Modules, SIPs and other advanced packages at different stages of readiness. Cultivate packaging advancements with work in material, mechanical, thermal, and electrical characterization. TI's innovative packaging technologies are designed to solve customers' problems by delivering advances in miniaturization, integration, high reliability, high performance, and low power. Put your talent to work with us as a Packaging Engineering Intern ! Qualifications Minimum Requirements: Currently pursuing an Masters degree in Mechanical Engineering, Materials Science, Chemical Engineering, Physics or Electrical Engineering. Cumulative 3.0/4.0 GPA or higher Preferred Qualifications: Semiconductor packaging knowledge is preferred (processes, assembly, reliability, materials, characterization, FA) Demonstrated analytical and problem solving skills Strong written and verbal communication skills Ability to work in teams and collaborate effectively with people in different functions Strong time management skills that enable on-time project delivery Ability to build strong, influential relationships Ability to work effectively in a fast-paced and rapidly changing environment Ability to take the initiative and drive for results

Change the world. Love your job. The Validation/Characterization Engineering Intern at Texas Instruments are powered by a passion for continual improvement. Our solutions make a real difference and yours will, too. We make the semiconductor product design process easier and faster, which helps our customers succeed in today's fast-paced marketplace. In this role, you'll support the development and implementation of strategies that achieve profitability targets on assigned TI product lines through new product development, cost reduction, capacity expansion and yield enhancement projects. You'll serve in development and implementation of cost-effective analog test techniques, resolve customer quality and application issues, and facilitate cross-functional teams for problem solving. You will collaborate with Analog Design on design-for-test features and Applications team on validation, while also tackling challenging problems in achieving analog performance testing on ATE multi-site hardware. These teams develop differentiating innovations in the test domain, ranging from methods to lower test cost for TI without compromising quality, to identifying design improvements for test, and resolving complex technical problems requiring an individual to transcend multiple domains. Qualifications Minimum requirements: Pursuing an undergraduate or graduate degree in Electrical Engineering or related degree Cumulative 3.0/4.0 GPA or higher Preferred qualifications: Ability to establish strong relationships with key stakeholders critical to success, both internally and externally Strong verbal and written communication skills Ability to quickly ramp on new systems and processes Demonstrated strong interpersonal, analytical and problem-solving skills Ability to work in teams and collaborate effectively with people in different functions Ability to take the initiative and drive for results Strong time management skills that enable on-time project delivery

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Join Adobe's Experience Manager (AEM) Customer Engineering team-the expert group at the front lines of helping enterprises craft, deliver and optimize digital experiences at scale. Our team supports AEM developers and business users across the globe, guiding them through performance tuning, problem solving, debugging complex issues and expanding what's possible with AEM as a Cloud Service. As an AEM Customer Engineering Intern, you'll get hands on exposure to one of the most powerful enterprise Content Management Systems in the world. You'll work closely with AEM experts to build internal tools that enhance customer support efficiency, improve workflows and streamline team operations. This is an incredible opportunity to learn how high scale systems are supported in production and to grow your technical and problem-solving skills in a collaborative, innovative environment. The work you'll do is unique-you'll dive into Adobe Experience Manager's modern cloud stack, which touches technologies such as: * Java, Sling, and OSGi frameworks * Adobe I/O Runtime and microservices * CI/CD automation through AEM Cloud Manager * Frontend frameworks like React and GraphQL If you thrive in solving technical puzzles, enjoy working on tools that make other engineers more efficient, and want to contribute to real customer impact-this role is for you. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do * Learn AEM's technology stack-from authoring to publishing, from the backend (Sling, OSGi, Oak) to frontend frameworks (HTL, React). * Design and develop internal tools and automations to help Customer Engineering streamline diagnostics and support workflows. * Analyze and improve existing processes by identifying efficiency opportunities and building practical solutions. * Solve and investigate AEM issues, learning debugging techniques used in enterprise environments. * Contribute to internal documentation and wikis to support continuous information flow. * Engage in team discussions and standups, learning agile workflows and customer support methodologies. * Partner with internal stakeholders across Product Engineering and Customer Success teams to understand cross functional operations. What You Need to Succeed * Currently enrolled full time and pursuing a degree in Computer Science, Information Technology or related technical field or equivalent degree required with an expected graduation date of December 2026- June 2027 * Ability to participate in a full-time internship between May-September * Technical or functional skill requirements of the position * HTML, JavaScript, CSS, REST APIs, JSON, XML * Languages such as Java or Python - with an understanding of object-oriented principles * Excellent communication and collaboration skills Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $25.00 -- $30.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

Are you looking for a unique opportunity to be a part of something great? Want to join a 17,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip's nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values; we affectionately refer to it as the Aggregate System and it's won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: Microchip Technology Inc. is a leading provider of embedded control applications. Our product portfolio comprises general purpose and specialized 8-bit, 16-bit, and 32-bit microcontrollers, 32-bit microprocessors, field-programmable gate array (FPGA) products, a broad spectrum of high-performance linear, mixed-signal, power management, thermal management, radio frequency (RF), timing, safety, security, wired connectivity and wireless connectivity devices, as well as serial Electrically Erasable Programmable Read Only Memory (EEPROM), Serial Flash memories, Parallel Flash memories, and serial Static Random Access Memory (SRAM). We also license Flash-IP solutions that are incorporated in a broad range of products. Microchip Technology Inc. has an ASIC Physical Design Internship opening based in San Jose, CA. As a member of Microchip's engineering community, you will collaborate closely with the chip design team to support ASIC backend flow, including place and route (P&R), timing/noise/power signoff, as well as the integration of multiple blocks within the FPGA. Key Responsibilities Work as part of a team of experienced design engineers supporting backend ASIC implementation, including place and route, design closure, and timing/power signoff. Collaborate closely with the digital design, verification, and analog teams to ensure all components are thoroughly verified and successfully integrated into the FPGA. Partner with the design team to conduct technical presentations. Customize, automate and enhance the design flow as needed using Tcl/Python. Requirements/Qualifications: Currently pursuing a Bachelors or Master's degree in Computer Science, Electrical Engineering, or a related field. Demonstrated knowledge of digital Design fundamentals and semiconductor principles through course work or previous internships. Prior experience with IC digital implementation flows and backend EDA tools, including Place and Route, IR drop analysis, and design timing and power closure, is preferred. Proficiency in scripting languages such as Tcl, Perl or Python is highly beneficial. Travel Time: 0% - 25% Physical Attributes: Feeling, Hearing, Other, Seeing, Talking, Works Alone, Works Around Others Physical Requirements: 10% standing, 10% walking, 80% sitting, 100% in doors; Usual business hours Pay Range: Find information about all our benefits at the link below: Benefits of working at Microchip The hourly pay range for this position, which could be performed in California, is $19 - $30.* *Range is dependent on numerous factors including job location, skills and experience. Microchip Technology Inc is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. For more information on applicable equal employment regulations, please refer to the Know Your Rights: Workplace Discrimination is Illegal Poster. To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.