Computer Science Internship jobs at Pacific Northwest National Laboratory - 2831 jobs

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.Responsibilities include but not limited to:- Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.- Collaborate with others to drive requirements and validation tests to ship models.- Take a practical approach to problem solving and adapt to an evolving environment.- Deliver clean, modular, testable algorithm code.- Communicate and work effectively with cross-functional partners.The ideal candidate should possess the following qualities:- Be highly-motivated and take initiative to achieve goals, while delivering on schedule.- Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.- Works well in a collaborative setting. Minimum Qualifications BS and a minimum of 3 years relevant industry experience Software engineering skills and proficiency in Python and PyTorch. Preferred Qualifications MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields. Comprehensive understanding of diffusion models, transformers and auto-encoders. Capable of making well-informed and practical decisions in a rapidly evolving environment. Excellent communication and experience working with multi-functional teams. Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule. Good software engineering skills and proficiency in C/C++. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . #J-18808-Ljbffr

Cupertino, California, United States Software and Services The Camera Imaging Algorithms team in the Camera & Photos organization provides innovative algorithms and imaging solutions for all of Apple's awe-inspiring devices including iPhone and iPad. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. Combining groundbreaking artificial intelligence, computer vision and computational photography techniques with next-generation hardware, our team takes the mobile photography experience to the next level. If you are passionate about finding and solving new problems in computer vision with artificial intelligence and image/video processing, we have the job for you. Description As a member of our team, you will work on special applications of AIML and computer vision for creating imaging solutions. Through crafting advanced algorithms and forward‑looking features, you will contribute to existing and future iterations of Apple's products. You will collaborate daily with our team of engineers to build a new and dynamic vision of how we approach new problems. You will contribute directly to solving those problems using creative and unique algorithms. Responsibilities Train/fine tune AIML models to design new camera features Investigate new computational photography/machine learning approaches for camera imaging Develop visualization tools to support feature development Work closely with x-functional teams to develop solutions from concept to implementation Minimum Qualifications Proven practical experience in designing computer vision algorithms for video / imaging applications leveraging machine learning, foundation model fine‑tuning, and computational photography Ability to work in cross‑functional teams Proficient written and verbal communication skills BS/MS/PhD in Machine Learning, Electrical Engineering, Computer Vision, Computer Science, or a related field Preferred Qualifications A good understanding of recent developments in computer vision including foundation models, machine learning, and computational photography Experience with iOS or other mobile systems At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A leading technology company in Sunnyvale is seeking a CVML Engineer to drive innovation in 3D and 4D computer vision and health applications. The role requires a Bachelor's degree and experience in computer vision algorithms. Candidates should be proficient in Python and PyTorch, with a strong foundation in linear algebra and optimization principles. Competitive compensation and comprehensive benefits included. #J-18808-Ljbffr

The TSUBAKI name is synonymous with excellence in quality, dependability and customer service. U.S. Tsubaki is a leading manufacturer and supplier of power transmission and motion control products. As a part of a vast, international network of corporate and industrial resources, Tsubaki offers its customers the finest state-of-the-art products available in the world and we strive to be the "Best Value" supplier in the industry. Essential Duties and Responsibilities: The essential duties and responsibilities of this job are included but not limited to this job description - other tasks may be assigned and expected to be performed. Learn and understand basic concepts of engineering class chain to create a solid experience base to build upon in further rotations Ability to create components and assemblies using 3-D solid modeling programs (ex: SolidEdge) Create and revise engineering drawings, manufacturing plans, and similar product documentation Designs, procures, and fabricates simple tooling and fixtures Designs and coordinates engineering tests and experiments and report the results in a format suitable to the intended audience Completes basic tasks on engineering documentation Identifies areas for improvement, suggests solutions, and submits idea records Other tasks/functions/projects as assigned Requirements: High school diploma or equivalent required Strong knowledge of basic computer skills and MS Office (especially Excel, PowerPoint, and Word) Good verbal and written communication skills Good mathematical skills; able to reason and calculate distances and equations Ability to accurately input to and retrieve from computer based software programs Ability to use and accurately read engineering drawings and measure using devices such as calipers, micrometers, etc. Programming ability in visual basic or MS VBA (preferred) Learn more about U.S. Tsubaki at: ************************* Tsubaki is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability PM21 PI797eec83c931-37***********5

A leading IT services provider is seeking a Tech Bar Analyst in San Francisco. The role involves assessing and resolving employee requests related to hardware and software issues. Candidates should possess a bachelor's degree and have over 5 years of relevant experience. Strong communication skills and the ability to support multiple OS environments, particularly MacOS, are essential. Comprehensive benefits including medical and paid time off are offered alongside a competitive salary between $50,000 and $55,000 annually. #J-18808-Ljbffr

The Computer Guy's computer repair internship program will have you working independently on computer hardware/software issues with the close guidance of professionally trained, experienced A+ certified computer repair technicians. Interns will learn practical troubleshooting skills on how to solve everyday computer related problems such as virus removal, spyware removal, hardware repair, replacement and upgrade. Training will also include a high level of face-to-face client interaction in which interns will develop listening and communication skills which become a valuable asset to potential employers. Every intern will get to work directly in our computer repair center. You will work on real computer with real problems. You will learn how to fix laptops and desktop computers. You will remove viruses, spyware, upgrade parts and replace broken ones. You will know what it is to be a computer technician from Day 1, because you will be fixing computers on your very first day. Nothing beats actual hands-on experience.

Job DescriptionSalary: $25 hourly At ACG, we believe meaningful career growth starts with real-world experience. As an intern, youll gain hands-on exposure to IBM Business Analytics technologies while learning to design and implement solutions that help organizations make smarter business decisions. Youll collaborate with seasoned consultants and IT professionals who specialize in building and supporting enterprise-grade systems. Technologies you may work with include IBM Planning Analytics (TM1), MCP Severs, LLMs, Python, Rest APIs, relational data stores. This internship runs for four weeks, approximately 24 hours per week, with flexible scheduling and remote participation. The program is designed to introduce participants to the IBM Cognos Planning Analytics technology stack and related technologies. Those who complete the internship will be considered for future hybrid full-time opportunities based in Parsippany, NJ. The position pays $20 per hour during the program. Qualifications Were seeking candidates completing their undergraduate degree by December 2025, or recent graduates. Preferred majors include Computer Science, Management Information Systems, or Finance/Business with programming experience. A background or strong interest in business finance is highly valued. Ideal candidates will demonstrate knowledge of programming concepts and familiarity with one or more languages such as Java, C, or Python. Experience with relational database querying is also preferred. Strong communication skills and a genuine interest in applying technology to solve business challenges are essential.

At ACG, we believe meaningful career growth starts with real-world experience. As an intern, you'll gain hands-on exposure to IBM Business Analytics technologies while learning to design and implement solutions that help organizations make smarter business decisions. You'll collaborate with seasoned consultants and IT professionals who specialize in building and supporting enterprise-grade systems. Technologies you may work with include IBM Planning Analytics (TM1), MCP Severs, LLMs, Python, Rest APIs, relational data stores. This internship runs for four weeks, approximately 24 hours per week, with flexible scheduling and remote participation. The program is designed to introduce participants to the IBM Cognos Planning Analytics technology stack and related technologies. Those who complete the internship will be considered for future hybrid full-time opportunities based in Parsippany, NJ. The position pays $20 per hour during the program. Qualifications We're seeking candidates completing their undergraduate degree by December 2025, or recent graduates. Preferred majors include Computer Science, Management Information Systems, or Finance/Business with programming experience. A background or strong interest in business finance is highly valued. Ideal candidates will demonstrate knowledge of programming concepts and familiarity with one or more languages such as Java, C, or Python. Experience with relational database querying is also preferred. Strong communication skills and a genuine interest in applying technology to solve business challenges are essential.

ACG believes in successful career development. As an Intern with ACG you will experience hands-on training, and learn how to apply IBM Business Analytics Technologies to develop business solutions. Learn from top consultants and work alongside IT professionals, designing, developing, implementing and supporting first-rate business solutions. Commonly used technologies are IBM Cognos TM1, Python, VBA, Oracle and SQL Server. This internship will be a 4 week program requiring approximately 24 hours per week. The work will be done remotely and hours are flexible. The goal of the program is to begin training in the IBM Cognos Planning Analytics technology stack. Participates in this program will be considered for full time hybrid positions in Parsippany, NJ when and if they become available. This internship pays $20 per hour for participation in the program. Qualifications: We are looking for an intern that will complete their undergraduate degree in December 2025 or a recent college graduate. Major must be in Computer Science, MIS or Finance/Business with experience in a programming capacity along with solid programming coursework. Previous classes and an interest in Finance is also a strongly desired skill set in a candidate. Will consider the following programming skills: General Object Orientated Programming concepts, Java, C, Python or Visual Basic, Relational Technologies (SQL Server, Oracle, SQL querying). Must have excellent communication skills.

Axle Informatics is an information technology company that offers innovative computer services, informatics, and enterprise solutions to research centers and healthcare organizations around the globe. With experts in software engineering, bioinformatics and program management, we focus on developing and applying technology tools and techniques to empower decision-making and accelerate the discovery in translational research. We have developed multiple software programs and applications specialized for different types of research facilities & universities aimed at optimizing laboratory operations. Our solutions encompass sample management, data acquisition and processing, reporting, and scientific data management. Axle's solutions increase productivity, elevate experimental data quality, and reduce lab process' documentation time. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of health (NIH), which means candidates will be receiving the best on-the-job training possible in this field. Job Description Computer Science/Bioinformatics Internship Program | Spring 2016 | Rockville, MD Axle Informatics is looking for a student who is detail-oriented and a quick-learner to be the next intern in a high-performing, fast-paced IT environment What you'll be doing: Attaining hands-on experience with developing both front and back-end bioinformatics software. Assist in development of software using a variety of languages (ex: Java, R, JavaScript, Perl, Python, Ruby). Designing new features and performance enhancements for existing systems. Participate in testing and fixing bugs in existing written codes Developing a guide detailing program limitations to aid in future analysis of investigator datasets. Help develop effective pipelines to manage and visualize scientific datasets Gaining on-site work experience at various locations within the NIH Who you are: Demonstrated interest and understanding in computer science or bioinformatics disciplines Familiarity with HTML, CSS, Java, R, JavaScript, Perl, Python, Ruby. You're hungry to learn. Give you data, tools and resources and let you soar! You want to apply what you're learning directly to your work to make your job easier. You aim to simplify your work processes by finding patterns and making your work efficient You care about the quality of your work and are adamant in ensuring things are flowing smoothly Strong work ethic and coolness under pressure in a “live” environment. Qualifications Skills we'd love for you to have (but not required): Performing statistical data analysis with MATLAB and/or R. Basic knowledge of MySQL and SQL reporting techniques. Understanding of AngularJS, Node.js and Bootstrap within a dynamic content environment Familiarity with Microsoft SharePoint Ability to learn quickly and multitask in a fast-paced environment. Extreme attention to detail. Requirements: Junior or senior BA/BS or working towards a MS, Postbaccalaureate or PhD candidate in Bioinformatics, Computer Science, or related field. Able to work independently at times and be able to give 20 hours/week. Ability to work under independently, just as well as general supervision. The ability to work in a team environment with changing priorities. Additional Information We're looking for someone to see the work to be done and top it, to move fast and find solutions, and to get the job done each and every day. If you draw energy from working with a small, dedicated team, then Axle is for you. * If you have any questions, give us a call at ************** to discuss our exciting internship programs and see if Axle is a good fit for the next step in your career!

Program Dates: June 1, 2026 - August 7, 2026 The base salary for this role is $5,200 per bi-weekly pay period This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday) Who We Are: The Machine Learning team develops core algorithmic systems for the business, with over 20 specialized sub-teams working on a wide range of projects including Search, Pricing, Personalization, and Supply Chain. Our program gives you the chance to address key business challenges with state-of-the-art solutions. You'll work with great mentors who will guide you from problem definition to production, with the potential to publish your work in top-tier venues. We collaborate with various stakeholders to build scalable ML solutions that drive revenue and enhance the customer experience. Our projects are driven by entrepreneurial individuals who take ownership of their work in a collaborative setting. Examples include developing models for customer preferences, optimizing profitability through demand forecasting, and creating solutions to detect duplicate products. Your work will directly impact the customer experience, with our in-house A/B testing platform allowing you to see the immediate effects of your algorithms on the company. What You'll Do: * Own the entire machine learning lifecycle, from initial idea to deployment and measuring business impact * Develop and scale cutting-edge machine learning models to solve core business problems * Create impactful algorithmic solutions that directly improve customer and supplier experiences * Uncover and act on key insights from vast datasets to provide tactical guidance and drive business value * Pilot new tools and techniques and contribute to potential scientific publications * Collaborate with a team of experts to build maintainable and scalable solutions What You'll Need: Basic Qualifications: * Currently enrolled in a PhD program in a quantitative field (Computer Science, Mathematics,, Engineering, Statistics/Biostatistics, Physics, Robotics, Operations Research, etc.) with the expectation that the degree will be obtained between December 2026 and August 2027 * Proficient knowledge of structured programming language(s) (e.g. Python) * Must be returning to the course of study following completion of the internship * Ability to commit to working 40 hours per week (9am-5pm, Monday-Friday) from June 1 - August 7, 2026 in our Boston office Preferred Qualifications: * Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc. * An affinity for data along with experience leveraging statistics and regression analysis * Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value * Experience with languages and tools relevant to data science, including Pytorch/TF, github, pyspark, Docker, SQL, GCP * Familiarity with data structures, algorithms, OOP, and programming in a team environment * Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills * Strong comfort level and appetite to use AI in daily workflow * Ability to thrive in a dynamic environment where there can be degrees of ambiguity * Ability to effectively work with technical leads * Ability to synthesize conclusions for non-experts and desire to influence technical decision Why You'll Love Wayfair: Throughout the Internship Program, we provide interns with the opportunity to engage in social and community building activities including: * A calendar of intern events including social networking, professional development and a leadership dialogue series * Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback * Skills-based training * Dialogue events with senior leaders to provide a holistic view of all functions at Wayfair * Coffee chat opportunities for interns to get to know one another * Volunteer opportunities * Intern-wide innovation project designed to teach interns skills for handling ambiguous business problems * Intern Appreciation Day celebration * Events throughout Boston which allow interns to explore what the city has to offer including a Red Sox game, and Boston Harbor boat cruise. Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. Need Technical Assistance? For more information about applying for a career at wayfair, visit our FAQ page here. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.

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. THE ROLE: Be part of the world's leading graphics and AI accelerator team developing diagnostics applications for the functional and behavior verification of state-of-the-art graphics accelerators. This role will involve designing world class AI and graphics workloads, implementing diagnostics applications, as well as analyzing and debugging the results. THE PERSON: To be successful in this role, you should be a proactive self-starter capable of contributing innovative ideas and providing effective technology leadership. You bring excellent knowledge of GPU hardware/software integrations and standard diagnostics design and development techniques. With proven experience in sophisticated development in a complex software and hardware environment, you can contribute to the team's work in bringing to market some of the world's leading discrete and data center GPU's . As a key member of this team, you will need exceptional communication, problem-solving capabilities, and data analysis skills. KEY RESPONSIBILITIES: * The candidate would be responsible for planning, designing, developing, debugging, and optimizing diagnostic and feature tests targeting machine learning, HPC hardware accelerators, and general-purpose GPU compute workloads. * Collaborate with hardware architects and logic designers to solve functional issues, and collaborate with customer support engineers to help resolve verification deficiencies. * Explore and adopt new or evolving diagnostics methodologies used in the industry to verify complex ASIC designs within intensive production schedules. * Work within existing verification infrastructure on currently active projects. * Participate in system-level verification planning. * Work with external vendors to optimize diagnostic tests to the customer environment * Ensure enablement and quality of key diagnostic feature test verification for NPI and production enablement of AMD's dGPU and AI products. * Explore new opportunities using Diagnostics as a vessel for catching defects early in the manufacturing flow (CReST), VF curve generation/prediction (MSA) and identifying RTL design bugs prior to tapeout. * Mentor junior engineers and develop their technical skillset in regard to Diagnostic workflow, architecture design, and SW development disciplines. PREFERRED EXPERIENCE: * Experience developing machine learning, HPC, or general-purpose GPU compute applications. * Experience with object-oriented programming in modern C++. * Experience with systems architecture and object-oriented analysis and design. * Strong software development skills on Linux and debug skills on hardware. * Experience developing, debugging, or tracing assembly language programs. * Standard diagnostics design and development techniques. * Experience on Linux Shell. * Experience in diagnostics environments with emphasis on dGPU ASIC system-level verification. * Experience on exploring and adopting new or evolving verification methodologies used in the industry to verify complex ASIC designs within aggressive, market-driven schedules. * Experience with source code control systems. * Knowledge of RTL design practices and tools is a plus. ACADEMIC CREDENTIALS: Bachelor's/Master's degree, in Electrical/Computer Engineering or Computer Science LOCATION: Austin, TX This role is not eligible for visa sponsorship. #LI-AJ1 #LI-HYBRID 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.

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The Emerging Threats and Technologies Division, part of the National Security Directorate, consists of over 400 scientists, engineers, and analysts with backgrounds in cyber, nuclear, intelligence, policy, data science, and other fields. We work in interdisciplinary project teams to provide innovative concepts that integrate policy, analytics, science, and technology into unique solutions. Protecting U.S. residents and visitors is among our nation's highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex-from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL's scientific discovery and capabilities-rooted in innovative theory, methods, algorithms, and tools-are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe. Protecting U.S. residents and visitors is among our nation's highest priorities. As adversaries gain access to sophisticated technologies and materials, the threats grow more dynamic and complex-from cyber and nuclear to chemical and biological weapons of mass effect and other forms of terrorism. The PNNL national security mission employs our researchers, tools, and technologies to play a key role in advancing the ability to identify and secure nuclear materials, detect weapons of mass effect, manage nonproliferation treaties, secure our nation's borders, and protect critical infrastructures. PNNL's scientific discovery and capabilities-rooted in innovative theory, methods, algorithms, and tools-are enabling stronger, more resilient technologies and systems to safeguard national security. Coupled with decades of radiological and nuclear materials expertise, advanced computing and threat analysis capabilities, and a broad fundamental science base, we are identifying and countering emerging threats that have significant impact at home and around the globe. To learn more: ************************************************* ****************************************************** **Responsibilities** PNNL is seeking interns for assignments within the National Security Internship Program (NSIP). The Emerging Threats & Technologies Division is looking for individuals who have a passion for solving critical national challenges using advanced techniques. The intern will be given an opportunity to be presented with complex problems in national security, energy, and science; apply cutting-edge research and analysis to make our nation safer and stronger. Your internship can be in one of several technical groups: Cyber Resilience Foundations, Cyber Risk Reduction, Innovative Security Solutions, Global Research Analysis, Strategic Threat Analysis, or Mission Alignment. **Cyber Resilience Foundations:** The Cyber Resilience Foundations group works with government and private sector stakeholders to quickly adapt to new technology spaces, understand how their introduction into specialized domains affects system security postures, and create solutions to improve their resilience to new technologies. Disciplines: Cyber Security Research, Cyber Security Engineering, IT/OT, Software Development, Network Architecture. **Cyber Risk Reduction:** The Cyber Risk Reduction group performs applied research leveraging PNNL capabilities in hardware, software, and firmware security to benefit sectors critical to national security by figuring out how to deconstruct, evaluate, and improve complex systems and develop tools, practices, and skills to meet these challenges. Disciplines: Cybersecurity Engineering, Computer Engineering, Computer Science, and Network Administration **Innovative Security Solutions:** The evolving technology landscape is transforming the realm of physical protection and incident response, presenting new challenges such as the convergence of physical and cybersecurity threats. These interconnected domains require innovative methods to safeguard IT systems, materials, and vital infrastructure from increasingly complex risks. The Innovative Security Solutions group addresses these challenges by providing critical solutions and support for securing key assets through conventional countermeasures, while also advancing techniques to navigate the complexities of blended security environments. By leveraging operational expertise in asset protection, the group tackles the intricacies of converged security by integrating cyber and physical threat assessments and developing mitigations that enhance the protection of nuclear material and critical infrastructure. Disciplines: Cyber and Physical security, Hardware Vulnerability Assessment, Cyber Security Training **Global Research Analysis:** The Global Research Analysis group leverages national laboratory expertise in mission threats, science and technology, and cultural context to identify emerging and monitor existing technologies and provide decision makers the context and understanding critical to national security. Disciplines: Nuclear Engineering, Physics, Cyber Security **Strategic Threat Analysis:** The Strategic Threat Analysis (STA) group leverages partnerships around the world and expertise spanning multiple domains to address complex domestic and international security challenges. STA equips decision makers with nuanced insights and mitigation strategies in a rapidly evolving threat landscape shaped by emergent adversaries and technologies. Our experts bring a deep understanding of technical analysis, nonproliferation, risk and resilience, strategic trade controls, and regional affairs, delivering solutions that address gaps in legal frameworks, outdated approaches, and vulnerabilities within international systems and institutions. Disciplines: Law and policy analysis, data analysis, nonproliferation, counterproliferation, finance/trade analysis **Positions are available in Richland, WA and Seattle, WA, based on business need. Positions may also be performed remotely or on campus at PNNL based on business need.** ******HOW TO APPLY****** To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration: **Step 1:** Upload Resume or CV in "Resume" section only (note: If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to). **Step 2:** Upload a Cover Letter separately in "Additional Documents" section of the application titled "ET&T - Summer 2026 NSIP Cover Letter". + Cover letter should include: Statement of interest, reference relevant college courses, and relevant experience that may include extracurricular activities that have prepared you for this career. If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 5:00 p.m. (PST) on the posting close date. **Qualifications** Minimum Qualifications: + Candidates must have a high school diploma /GED or higher + Candidates must be degree-seeking undergraduate students enrolled at an accredited college or university + Candidates must be taking at least 6 credit hours and have an overall cumulative GPA of 3.3 Preferred Qualifications: + **Disciplines of Interest:** Cybersecurity, Cyber Security Engineering, Computer Science, Software Engineering, Information Technology, Information Systems, Network Engineering, Network Architecture, Network Security, Computer Engineering, Electrical Engineering, Systems Engineering, Information Assurance, Industrial Control Systems (ICS), Cyber-Physical Systems, Physical Security, Security Engineering, Risk Management, Homeland Security, Nuclear Engineering, Physics, Engineering Physics, Applied Science, Data Analytics, Data Science, Economics, Finance, International Relations, International Affairs, Security Studies, Public Policy, Law and Policy, Nonproliferation and International Security **Hazardous Working Conditions/Environment** Not applicable **Additional Information** This position involves access to sensitive systems and information. U.S. Citizenship is required. Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignments Program site, information, technologies, and equipment access requirements. **Testing Designated Position** This is not a Testing Designated Position (TDP). **About PNNL** Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them! At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. **Commitment to Excellence and Equal Employment Opportunity** Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer. Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws. We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at **************** . **Drug Free Workplace** PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs. **Security, Credentialing, and Eligibility Requirements** As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential. **Mandatory Requirements** Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment. **Rockstar Rewards** **Regular Hourly:** Employees are offered an employee assistance program and business travel insurance. Employees are eligible for the company funded pension plan and 401k savings plan, once eligibility requirements are met. **Temporary Hourly:** Employees are offered an employee assistance program and business travel insurance. Click Here For Rockstar Rewards (****************************************** **Notice to Applicants** PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual's relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules. As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position. **Minimum Salary** USD $16.25/Hr. **Maximum Salary** USD $26.00/Hr.

Duration: 12 weeks, starting May 26 or June 8 Compensation (Graduate student hourly): $39 USD (U.S.) or $42 CAD (Canada) **US range below is for undergraduate students At Vertex Inc., we create technology that empowers businesses-and we build teams that reflect the wide range of communities we serve. As a Software Development Intern, you'll join a collaborative engineering team working on innovative cloud-based solutions, application features, and DevOps tools. You'll receive mentorship, hands-on experience, and opportunities to grow your skills in a supportive environment. What You'll Experience: Collaborate with experienced engineers on impactful projects Explore areas such as front-end, back-end, internal automation (DevOps, CI/CD, etc.), infrastructure and operations Contribute to agile development with peer-reviewed code and secure design principles Engage in career development sessions, networking events, and our in-person Launchpad event at our PA headquarters Technologies you may learn include: Languages: C#, Java, Go, Python, Javascript/Typescript Frameworks: React, Spring, Fast API, Echo, .NET RDBMS: PostgreSQL, SQL server NoSQL: MongoDB, CosmosDB, AuroraDB Runtimes: Kubernetes, Docker, Linux Cloud Platforms: AWS, Azure, OCI What We're Looking For: Curiosity and enthusiasm for technology and continuous learning Proficiency in object-oriented or procedural languages: C#, Java, Python, or Go Strong problem-solving and collaboration skills Ability to apply foundational computer science principles to high-performance, real-world problem-solving (e.g. OOP, algorithms, data structures, data stores, CI/CD, test automation, AI/ML) Basic understanding of operating systems, networking, and cloud infrastructure Who Should Apply: Students pursuing a Master's degree in Computer Science, Software Engineering, or related fields Individuals from all backgrounds who are excited to explore software development, including distributed systems and AI Prior experience as a software development intern is preferred If you're passionate about building great software and growing in a collaborative environment, we'd love to hear from you. Other Qualifications The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners. Communicate with Clarity - Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback. Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule - better is the enemy of done. Don't spend hours when minutes are enough. Work with Purpose - Exhibit a “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results. Drive to Decision - Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes. Own the Outcome - Defined milestones, commitments and intended results. Assess your work in context, if you're unsure, ask. Demonstrate unwavering support for decisions. COMMENTS: The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time. Pay Transparency Statement: US Base Salary Range: $28.00 - $31.00 Base pay offered to new hires may vary based upon factors including relevant industry and job-related skills and experience, geographic location, and business needs.* The range displayed does not encompass the full potential of the role, which allows for further growth and career progression. In addition, as a part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants. Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs. *In no case will your pay fall below applicable local minimum wage requirements .

What Your Job Will Be Like The Radiation and Electrical Code Development & Analyses Group is seeking a motivated graduate summer intern working toward an advanced degree in electrical engineering, nuclear engineering, computer science, physics, mathematics, or a related discipline to participate in the development of computational tools in plasma physics, electromagnetics, radiation transport, neutronics, or electrical circuits and devices. On any given day, you may be called on to: * Participate in the modeling, design, and development of electrical systems, including plasmas, electromagnetic fields, radiation transport, neutronics, and/or circuit-level simulations * Apply basic understanding of physics and engineering principles, theories, concepts, and practices * Apply previous experience in modeling and simulation tools used in support of radiation and electrical design and analysis activities * Work successfully in a dynamic, interdisciplinary, teaming environment Due to the nature of the work, the selected applicant must be able to work onsite Salary Range At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here. Qualifications We Require You bring the confidence and skills to be eligible for the job by meeting these minimum requirements: * Earned bachelor's degree * Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program * Minimum cumulative GPA of 3.0/4.0 * Ability to work up to 40 hours per week during the summer * Ability to secure and maintatin a U.S. security clearance which requires U.S. citizenship Note: If you have not yet started your graduate program, please apply to an undergraduate intern position. Qualifications We Desire * Senior-level or graduate coursework in plasma physics, electromagnetics, radiation transport, neutronics, circuit design/analysis, or device physics * Proficiency in both interpreted and compiled programming languages (C/C++, Fortran, Python, Matlab, etc.) * Ability to work successfully in a dynamic, interdisciplinary, teaming environment. * Excellent communication and documentation skills * Experience with commercial/academic electrical simulation tools * Thesis/dissertation topic on computational or applied plasma physics, computational or applied electromagnetics, radiation transport, neutronics, circuit design/analysis, or device physics. Posting Duration This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. About Our Team Group 1320 advances the science, engineering and modeling/simulation tools needed to predict and control the generation, transport and interaction of radiation and electrical energy in complex engineered systems. Capabilities include linear electromagnetics, plasma physics, high voltage breakdown, Monte Carlo & deterministic radiation transport, neutronics, circuit and device simulation and model development, and power systems, electronics, and control theory development. These capabilities and associated subject matter expertise and analyses support NNSA Defense Programs including the qualification of nuclear weapons in normal, abnormal, and hostile environments. The team is committed to attracting, retaining, and encouraging an outstanding workforce representing a broad group of people and perspectives. We share this common vision by encouraging mutual respect among staff, post-docs, and interns from a diverse set of backgrounds. This hardworking team works across Sandia National Laboratories to accomplish outstanding results. About Sandia Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: * Challenging work with amazing impact that contributes to security, peace, and freedom worldwide * Extraordinary co-workers * Some of the best tools, equipment, and research facilities in the world * Career advancement and enrichment opportunities * Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) * Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* * These benefits vary by job classification. Security Clearance Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE L-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by the DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Apply for Job * Careers * Sign In * New User

Job Family for Posting: Engineering Apply now * Apply Now * Start applying with LinkedIn Start Please wait... About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people - and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you're in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can't happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers. Intern Program Overview We are committed to building a strong talent pipeline by investing in early career professionals. Our internship and co-op programs provide mentorship, training, hands-on experience, and growth opportunities that empower students to explore their career paths with confidence. Through competitive wages, networking events, social and volunteer activities, professional development workshops, and housing support, we strive to deliver one of the best internship experiences-designed to develop and inspire the talent of tomorrow. Interns will work full-time hours during the summer and will be considered for an extension into the co-op program in the fall (part-time during school) if qualified. Job Purpose The Electronics & Software Integration Intern will plan, conduct, document functional, performance, inter-lock, diagnostic tests and tune the performance of the electro-hydraulic and electro-mechanical systems and software in support of the development of Ag Tractors. The product validation team works as the voice of the customer in the product development team, working with design engineers along with various disciplines to deliver the best solution to our customers Key Responsibilities Your responsibilities may include: * Plan, set-up, operate, troubleshoot, and monitor vehicle systems tests and evaluations in lab and track environments. * Determine required test instruments, install instruments, and perform calibrations. Install, set-up, and operate required test automation equipment to operate tests. Establish, follow, and document lab test procedures. * Determine if the component(s)/system(s) under evaluation are operating per the intended design criteria. * Troubleshoot problems, determine, and implement corrective action. * Interface effectively with support groups and customers, such as Vehicle Electronics, Design Engineering, Materials Engineering, Manufacturing, etc. * Collect and analyze test data, and use to identify trends, problems. * Communicate data with others effectively. * Write formal, technical test reports. Preferred Qualifications Candidates must be pursuing (at minimum) a Bachelor's degree in one of the following majors or a related field: Computer Science, Electrical Engineering, Software Engineering Pay Transparency The annual salary for this role is USD $19.00 - $36.00 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.) What We Offer We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect. At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "Know Your Rights" poster here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here. Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation. If you need reasonable accommodation with the application process, please contact us at ******************************. Apply now * Apply Now * Start applying with LinkedIn Start Please wait... {{video.content.cta}} {{video.content.title}} {{video.content.description}} × {{explore.title}} {{explore.description}} {{feed.title["#text"]}} {{feed.city["#text"]}}, {{feed.country["#text"]}} {{explore.cta}}

Software Support Engineer Internship - C# Summer 2022 Internship - 40 Hours per Week US East Office (Jacksonville, FL) We exist to Transform our Customers and Change Lives Summary: The Software Support Intern reports to our Manager of Software Development, AX. Software Support Engineer Interns collaborate and assist our Software Support Engineers who directly engage with customers to resolve a wide range of technical software issues on our product, RF-SMART for Microsoft Dynamics. Support is provided to the customer via telephone, email and/or remote session via web and includes but is not limited to resolving configuration and code defects in our software for customers. The perfect candidate for this internship enjoys customer interaction and applying technical/development skills to troubleshoot and resolve complex problems. Essential Duties and Responsibilities: Troubleshoot complex systems and software to resolve customer issues Identify and correct code related bugs in multiple product areas Identify and correct setup/configuration issues in multiple product areas Assist in modification work for customers outside the scope of the base product Learn and apply troubleshooting methodologies related to networking, SQL database administration, data integrity checking, design document and business process review, hardware virtualization, and software logging analysis Provide creative solutions and workaround procedures when standard methods have failed Discuss and review issues and concepts with other support team members Switch between a variety of tasks multiple times a day Develop new skills over time Learn new products and concepts Education and Experience: Working towards a degree in one of the following of equivalent work experience: Computer Science, Computer Information System, Computer and Information Science, Mathematics or a related field Basic experience and working knowledge of C# and Visual Studio Highly desirable areas are: X++ programming knowledge LINQ (SQL and XML) SQL relational database knowledge Experience in .NET Framework (2.0, 3.5, and 4.0) Experience with MVC architecture Experience with a version control system (Subversion, TFS, etc.) Knowledge of warehouse distribution and manufacturing practices and applications a plus Fluent in a second language a plus Excellent written and verbal communication skills Works well in a team-oriented environment Critical thinking skills Employer does not sponsor applicants for employment visa status (e.g., H-1B visa status). General Information: The above noted job description is not intended to be an exhaustive list of all duties and responsibilities that may be assigned, but rather to give personnel so classified a general sense of the responsibilities and expectations of the job. As the nature of business demands change so, too, may the essential functions of this specific position and/or the skills and abilities required. RF-SMART is an Equal Employment Opportunity (EEO) employer.

Duration: 12 weeks, starting May 26 or June 8 Compensation (Graduate student hourly): $39 USD (U.S.) or $42 CAD (Canada) **US range below is for undergraduate students At Vertex Inc., we create technology that empowers businesses-and we build teams that reflect the wide range of communities we serve. As a Software Development Intern, you'll join a collaborative engineering team working on innovative cloud-based solutions, application features, and DevOps tools. You'll receive mentorship, hands-on experience, and opportunities to grow your skills in a supportive environment. What You'll Experience: Collaborate with experienced engineers on impactful projects Explore areas such as front-end, back-end, internal automation (DevOps, CI/CD, etc.), infrastructure and operations Contribute to agile development with peer-reviewed code and secure design principles Engage in career development sessions, networking events, and our in-person Launchpad event at our PA headquarters Technologies you may learn include: Languages: C#, Java, Go, Python, Javascript/Typescript Frameworks: React, Spring, Fast API, Echo, .NET RDBMS: PostgreSQL, SQL server NoSQL: MongoDB, CosmosDB, AuroraDB Runtimes: Kubernetes, Docker, Linux Cloud Platforms: AWS, Azure, OCI What We're Looking For: Curiosity and enthusiasm for technology and continuous learning Proficiency in object-oriented or procedural languages: C#, Java, Python, or Go Strong problem-solving and collaboration skills Ability to apply foundational computer science principles to high-performance, real-world problem-solving (e.g. OOP, algorithms, data structures, data stores, CI/CD, test automation, AI/ML) Basic understanding of operating systems, networking, and cloud infrastructure Who Should Apply: Students pursuing a Master's degree in Computer Science, Software Engineering, or related fields Individuals from all backgrounds who are excited to explore software development, including distributed systems and AI Prior experience as a software development intern is preferred If you're passionate about building great software and growing in a collaborative environment, we'd love to hear from you. Other Qualifications The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners. Communicate with Clarity - Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback. Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule - better is the enemy of done. Don't spend hours when minutes are enough. Work with Purpose - Exhibit a “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results. Drive to Decision - Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes. Own the Outcome - Defined milestones, commitments and intended results. Assess your work in context, if you're unsure, ask. Demonstrate unwavering support for decisions. COMMENTS: The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time. Pay Transparency Statement: US Base Salary Range: $28.00 - $31.00 Base pay offered to new hires may vary based upon factors including relevant industry and job-related skills and experience, geographic location, and business needs.* The range displayed does not encompass the full potential of the role, which allows for further growth and career progression. In addition, as a part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants. Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs. *In no case will your pay fall below applicable local minimum wage requirements .

Experience Real-World Consulting in a Collaborative Environment E-gineering's Internship Program is designed to provide interns with hands-on consulting experience in a professional setting, focused on delivering meaningful results for clients. We follow the Scrum Agile framework to guide our work; while previous Scrum experience is not required, we seek candidates who are enthusiastic about collaborative teamwork and value process-driven environments that foster feedback and continuous growth. During the internship, you'll have the chance to develop and apply a variety of skills. Although our leadership Team strives to align your responsibilities with your primary area of expertise, you may be asked to step into different roles to meet client needs-an invaluable opportunity for those still acquiring experience in the field. Our clients include both non-profit and for-profit organizations. Project Examples Website rebranding initiatives Software analysis, evaluation, and recommendation for procurement Leveraging large language models to automate developer tasks, document identification, and data extraction Web development and architectural improvements Integrating third-party donation platforms with WordPress sites Developing custom software for data collection from physical sensors Proof-of-concept for Docker deployment architectures Enhancing unit, integration, automated, and performance testing Business intelligence reporting using tools such as Power BI or Tableau Intern Responsibilities Gain foundational knowledge of the Scrum Agile framework Participate in daily stand-ups, sprint planning sessions, demos, and retrospectives Estimate user stories and actively contribute to planning discussions Apply critical thinking and clearly communicate assumptions to help the Team assess project effort Track tasks and issues using platforms like Atlassian Jira, Azure DevOps, or GitHub As a developer, learn programming fundamentals, source control, developer workflows, submitting pull requests, code reviews, and working with frameworks, libraries, and database technologies (SQL/NoSQL) Additional Internship Activities Participate in a book club Get involved in service projects Attend social events such as an Indianapolis Indians baseball game Participate in one-on-one lunches with E-gineering consultants Qualifications Must be available to work on-site at least 35 hours a week (Monday-Friday) during the summer internship Currently pursuing a degree in Computer Science, Computer Engineering, a related field, or have relevant work experience Have completed a minimum of two semesters toward an undergraduate or higher degree by summer 2026 Demonstrate a servant leadership mentality and a collaborative, team-oriented approach Possess strong analytical and problem-solving skills Show intellectual curiosity and enthusiasm for solving complex problems using technology