Mechanical Engineering Internship jobs at Intel - 67 jobs

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 Mechanical Engineer intern, you'll be at the forefront of innovation, working with a team of talented professionals to solve complex problems. You'll leverage your strong foundation in physics, mathematics, and materials science to design and optimize mechanical devices, machines, and systems. You will take on exciting challenges, from conducting research and analyzing data to creating detailed technical drawings and collaborating with interdisciplinary teams. You will oversee manufacturing and installation processes, ensuring adherence to industry standards and regulations. Your keen eye for detail and commitment to excellence will enable you to troubleshoot and resolve technical issues, making a tangible impact on the success of our projects. We empower our mechanical engineers to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Engineering Careers page to learn more about engineering at Applied. Minimum Qualifications: * Student must be pursuing a PhD degree in Mechanical 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.

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 Mechanical Engineer Intern, you'll be at the forefront of innovation, working with a team of talented professionals to solve complex problems. You'll leverage your strong foundation in physics, mathematics, and materials science to design and optimize mechanical devices, machines, and systems. You will take on exciting challenges, from conducting research and analyzing data to creating detailed technical drawings and collaborating with interdisciplinary teams. You will oversee manufacturing and installation processes, ensuring adherence to industry standards and regulations. Your keen eye for detail and commitment to excellence will enable you to troubleshoot and resolve technical issues, making a tangible impact on the success of our projects. We empower our mechanical engineers to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Engineering Careers page to learn more about engineering at Applied. Minimum Qualifications: * Student must be pursuing a PhD degree in Mechanical 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.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt 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. Northrop Grumman is seeking Electronics Engineers to join the Aeronautics Systems Intern Program. This position could be located in San Diego, Redondo Beach, El Segundo, or Palmdale, CA. The qualified candidate with become a part of Northrop Grumman's Avionics Integration organization. The selected candidate will work in a dynamic people-focused environment where he/she will interact with users, customers and other developers. As an intern, you'll participate in a summer internship program to develop competencies in a variety of engineering specializations that may include: Construct, troubleshoot, calibrate, adjust, test, and maintain equipment, components, devices, or systems. Work from engineering drawings and written or verbal instructions. Operate related equipment; conduct tests and report data in prescribed format. Perform calibration and alignment checks; make adjustments, modifications, and replacements as directed. Prepare prescribed compounds and solutions. Basic Qualifications A candidate, regardless of age and hiring source, must meet ALL of the below criteria. The candidate must: Be enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university AND graduating after August 2026. Be majoring in Electrical Engineering, Computer Engineering, or related STEM field. Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2026. Be able to obtain and maintain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needs (U.S. citizenship is a pre-requisite). Preferred Qualifications Have an overall cumulative GPA of 3.25/4.0 or higher. Previous internship/co-op experience, leadership & teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular) Intern Pay Range Undergraduate degrees (Including graduating students planning on attending/enrolled in a full-time Master's program): $20.50 to $38.00 per hour Master's: $29.75 to $46.75 per hour “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.” Campusjobs Primary Level Salary Range: $1.00 - $1.00The 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.

What you do at AMD changes everything We care deeply about transforming lives with AMD technology to enrich our industry, our communities and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence, while being direct, humble, collaborative and inclusive of diverse perspectives. This is who we are at our best. One Company. One Team. AMD together we advance_ The System Validation team plays a key role in validation of complex SOCs in pre-silicon and post silicon. Our most recent project Versal ACAP, a fully software-programmable, heterogeneous compute platform that combines Scalar Engines, Adaptable Engines, and Intelligent Engines to achieve dramatic performance improvements with dual core ARM processing system and Programmable logic is known for Industry's first Heterogeneous architecture. We are looking for a passionate engineer to work with us on our latest SOC - Versal. We are looking for an aspiring Systems Design Engineer with a strong background in software to join the System-level Test team in San Jose. As a System Validation Engineering Intern, you will be involved in the silicon life cycle from testing of emulated next-generation RTL through to silicon verification and characterization. You will have a view of the full system but also will become an expert in certain IP down to the register-level. We are looking for someone who can span the range of able to develop device drivers in software to debug on hardware. As an intern on our team, you will gain real engineering experience in working with complex SOC and validation software and make a difference to the quality of our products. Responsibilities Assist in bringing up system level validation tool on new silicon Run regressions and experiments to help root cause issues Enhance existing test software for system-level validation and verification of existing and new FPGA features. Design, develop, implement, test, and verify systems based on FPGAs with embedded Micro Blaze or ARM processors Help to develop novel methods for system-level modeling and verification Help automate design, test, and build processes Qualificiations Must be a student enrolled in a bachelor's or master's degree program in Electrical / Computer Engineering with an emphasis on embedded system development and/or computer architecture Computer Architecture class(es) required Programming languages: C, Python, Verilog To support our group, we are looking for a intern that can commit to a full time (40 hr per week), 4-12-month internship starting in January 2023. You must be able to work onsite at are San Jose, CA Office. Located at 2100 Logic Dr, San Jose, CA 95124 Shorter internships will NOT be considered. Requisition Number: 185604 Country: United States State: California City: San Jose Job Function: Student/ Intern/ Temp Benefits offered are described here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status. Please click here for more information.

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.

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.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: Top SecretTRAVEL: NoDescriptionAt 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. Northrop Grumman is a space pioneer, supporting government, civil and commercial customers in solving their biggest challenges. Our forward-leaning, innovative spirit is backed by a legacy of expertise that began at the dawn of the space age. Our mission experience in space runs deep, we know our customers well, and our capabilities are unmatched. This is what allows us to provide reliable, agile and affordable space solutions to best serve our customers. From defending freedom to advancing human discovery, we are defining what is possible in space every day. 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 Vehicle Engineers for an internship opportunity. This position will be located at our Space sector in Redondo Beach, CA. The qualified candidate will become part of Northrop Grumman's Mechanisms and Deployable Products team within the Western Region Vehicle and Software Engineering Directorate. Roles and Responsibilities Conduct preliminary requirements definition, conceptual and layout designs, detailed design, analysis, drawing release, design review presentations, and provide support for fabrication, integration, and testing of mechanisms, deployable, and opto-mechanical systems for space applications. Apply research to the planning, design, development, and testing of mechanical and/or electromechanical systems, instruments, controls, and/or machines. 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 Mechanical, Aerospace Engineering or STEM degree Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2026. Be able to obtain and maintain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needs (U.S. citizenship is a pre-requisite) Preferred Qualifications: Have an overall cumulative GPA of 3.00/4.0 or higher Previous internship/co-op experience, leadership & teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular). Self-motivation, willingness to learn, and interest in working in a team environment. Intern Pay Range: Bachelor's: $20.50 to $38.00 per hour Master's: $29.75 to $46.75 per hour 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. campusjobs Primary Level Salary Range: $20.50 - $46.75The 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.

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 with 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 January 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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 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. At Adobe Firefly, we build foundation generative models for image, video, and other modalities that power the suite of products at Adobe. By using predictive models, experimental design methods, and optimization techniques, the candidate will research, experiment, develop, and optimize CV algorithms/models that understand, generate and enhance data for training pioneering image and video foundation models powered by data, training, and inference infrastructures. All 2025 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 Design, implement, and optimize backend services and APIs supporting the generative AI platform. Collaborate with AI researchers and engineers to integrate model training, inference, and data processing pipelines. Collaborate with data, modelling, and inference platform teams to optimize, scale up and deliver end-to-end solutions to production. Research and develop CV algorithms/models to generate image and video training data for GenAI foundation models and applications Contribute to system architecture discussions, focusing on performance, reliability, and maintainability. Write clean, efficient, and well-documented code across modern software engineering stacks (e.g., Python, Node.js, or Java). 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 required with an expected graduation date of December 2026 - June 2027 Deep expertise in computer vision, image processing, video processing, and machine learning for Generative AI. Strong understanding of software engineering fundamentals, including data structures, algorithms, and distributed system design. Proficient in one or more programming languages such as Python, Java and C++ Curiosity and initiative to explore generative AI technologies, with the ability to learn quickly and collaborate effectively in a fast-paced environment. Excellent communication, relationship skills and a team player Ability to participate in a full-time internship between May-September Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 **************. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. 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 If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. 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 required 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 **************.

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 AdobeAt 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 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 **************.

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 Cisco's Engineering Group is a core technology group within Cisco. By defining and delivering market-leading campus networking solutions with Cisco Digital Network Architecture (DNA) which is an intent-based networking architecture that delivers advanced solutions for enterprises. Your Impact We're seeking a Technical Marketing Engineer to drive the adoption of technologies like network visibility and Software Defined networking. The role calls for a proactive and detail-oriented engineer ready to engage with customers and sales teams, and to contribute to product strategy and technical consulting. You'll work on automation and cloud solutions, develop network management tools, and craft messaging to highlight Cisco's solutions. Expect to create technical content and travel for training sessions with global customers and sales teams, balancing independent tasks with collaborative projects. You have a passion for technology, computer networking, and automation, and you love everything digital. As a self-starter, you are driven by groundbreaking technology and the opportunity to drive change. You possess a strong sense of ownership and excel at transforming ambiguity into tangible outcomes. You are adept at collaborating across various functions and matrixed teams. You embrace the belief that leadership can emerge from any level and understand that we achieve more together than any one of us can achieve individually. Minimum Qualifications * Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College), or currently enrolled in an undergraduate degree program. Relevant fields include: Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field * Experience in Dev-ops Programming and scripting experience in Python, Linux, or other programming language * Able to legally live and work in the country for which you're applying, without visa support or sponsorship Preferred Qualifications * Excellent communication skills both in technical and non-technical discussions * Proven analytical skills. * Confirmed ability to understand sophisticated and in-depth level technical situations, related business challenges, and be able to communicate these technologies in a clear and simple way to customers and sales teams. * Interest and knowledge of networking technologies and networking is desired. Cisco Data Center Networking, NX-OS, Switching, Cisco Routing, Catalyst Switching, IOS XE, Aironet AP and Wireless Controller Experience are desired. Cisco certifications is desired. * Understanding of Networking fundamentals * AI Networking Concepts, GPUs, xPUs, QoS Congestion Control mechanisms 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 Cisco's Engineering Group is a core technology group within Cisco. By defining and delivering market-leading campus networking solutions with Cisco Digital Network Architecture (DNA) which is an intent-based networking architecture that delivers advanced solutions for enterprises. Your Impact We're seeking a Technical Marketing Engineer to drive the adoption of technologies like network visibility and Software Defined networking. The role calls for a proactive and detail-oriented engineer ready to engage with customers and sales teams, and to contribute to product strategy and technical consulting. You'll work on automation and cloud solutions, develop network management tools, and craft messaging to highlight Cisco's solutions. Expect to create technical content and travel for training sessions with global customers and sales teams, balancing independent tasks with collaborative projects. You have a passion for technology, computer networking, and automation, and you love everything digital. As a self-starter, you are driven by groundbreaking technology and the opportunity to drive change. You possess a strong sense of ownership and excel at transforming ambiguity into tangible outcomes. You are adept at collaborating across various functions and matrixed teams. You embrace the belief that leadership can emerge from any level and understand that we achieve more together than any one of us can achieve individually. Minimum Qualifications * Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College), or currently enrolled in an undergraduate degree program. Relevant fields include: Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field * Experience in Dev-ops Programming and scripting experience in Python, Linux, or other programming language * Able to legally live and work in the country for which you're applying, without visa support or sponsorship Preferred Qualifications * Excellent communication skills both in technical and non-technical discussions * Proven analytical skills. * Confirmed ability to understand sophisticated and in-depth level technical situations, related business challenges, and be able to communicate these technologies in a clear and simple way to customers and sales teams. * Interest and knowledge of networking technologies and networking is desired. Cisco Data Center Networking, NX-OS, Switching, Cisco Routing, Catalyst Switching, IOS XE, Aironet AP and Wireless Controller Experience are desired. Cisco certifications is desired. * Understanding of Networking fundamentals * AI Networking Concepts, GPUs, xPUs, QoS Congestion Control mechanisms 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.

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! 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, the candidate 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 Bachelors, Master's or PhD degree in Computer Science, Computer Engineering; or equivalent experience required 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 If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. 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 **************.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt 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 Quality 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 Quality and Mission Assurance (QMA) department. The QMA department oversees all aspects of program and site Quality within Sunnyvale from inspection, to Quality Engineering, to Quality system compliance. 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 Science, Technology, Engineering, or Math (STEM) 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 Strong analytical and problem-solving skills Attention to detail and a commitment to quality Good communication and teamwork abilities Intern Rate Range: Bachelors: $25.75 to $32.75 Masters: $37.25 - $40.00 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. campusjobs 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.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. As an AMD intern, you'll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You'll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you're an undergrad or a PhD student, your contributions matter-and your experience here will be a launchpad for what comes next. JOB DETAILS: * Location: San Jose, CA * Onsite/Hybrid: This role requires the student to work full time (40 hours a week), onsite 5 days/week work structure throughout the duration of the intern term. * Duration: May 18, 2026 through August 7, 2026 WHAT YOU'LL BE DOING: DFE Technology team develops high performance and low-cost digital front end (DFE) Radio designs for 5G/6G and future base stations with AMD's unique RFSoC and Versal products and influences future device architectures. As a DSP and ML Engineer Intern, you will have the opportunity to work with experienced team members on: * Tx/Rx RF modeling in MATLAB for RF Amplifier non-linear responses using advanced ML algorithms * Explore various network structures for training and inference engines WHO WE'RE LOOKING FOR: You are currently enrolled in a US based University into a PhD degree program If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply - * Completed Electromagnetic Theory, Matrix Theory, Digital Signal Processing and Digital Communications coursework * Completed coursework in machine learning and various neural networks * Background in non-linear system analysis * Background in RNN, LSTM and other advanced long memory network * Background in Wireless Communications * PhD Candidate - Wired/Wireless Communications background * Strong organizational skills * Strong written & verbal communications * Drive to succeed - we expect our team members to engage with a passion! Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you. Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here. This posting is for an existing vacancy.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt 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 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. 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 a Digital Engineer Intern for an internship opportunity. This position will be located at our Space Systems Sector in Manhattan Beach, CA. The qualified candidate will become part of Northrop Grumman's Digital IC & Electronics department within the Electronics & Payloads group, a part of the Strategic Space Systems Division. This team provides custom digital logic design services for Hi-Rel RadHard environments; products including routers, data processors, modems (mod/demod), command and data handling and configuration controls. 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 Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2026. Be able to obtain and maintain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needs (U.S. citizenship is a pre-requisite). Preferred Qualifications: Have an overall cumulative GPA of 3.0/4.0 or higher 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 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/AA and Pay Transparency statement, please visit **************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions. campusjobs 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 http://**************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.