Engineering Internship jobs at ZipLine - 290 jobs

A tech company revolutionizing workplace safety is seeking a Junior Engineer in San Francisco. This role involves developing real-time video analytics systems, collaborating with multi-disciplinary teams, and impacting the safety of millions. Ideal candidates will have a Bachelor's in Computer Science and some experience in backend development and distributed systems, specifically using cloud tools and APIs. A dynamic work environment with competitive benefits is offered. #J-18808-Ljbffr

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing's fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. About the Program: Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship. About the Role: Wing is looking for a Aerodynamics Engineering Intern to join our Aircraft Development Team based in Palo Alto, CA. We're an interdisciplinary team that is the driving force behind the design, prototyping, and optimization of our current and future aircraft. This internship is your chance to make a tangible impact on the next generation of drone delivery. As an Aerodynamics Engineering Intern, you'll take ownership of a project focused on the support and development of Wing's next-generation delivery drones. You'll work closely with experienced engineers, gaining hands-on experience in a fast-paced, innovative environment. What You'll Need: Currently pursuing a Bachelor's or Master's degree in Aerospace Engineering, or related field, graduating between December 2026 and August 2027 Experience with Matlab, Python, or a similar programming language Strong examples of collaborative, hands-on engineering experience from, e.g., prior work experience, university programs, internships, or student organizations Familiarity with aircraft design, aerodynamics, and flight dynamics Familiarity with propulsion and aerodynamic modeling Familiarity with using CAD software for design and prototyping Passion for aviation, drones, or related technologies This is your chance to: Make a measurable impact on Wing's ability to rapidly design, build and test aircraft. Help create a radically new way to deliver goods that is more economical and environmentally friendly than the status quo. Gain valuable experience at the forefront of the rapidly growing drone delivery industry. Collaborate closely with other teams like GNC, simulation, flight test, and other teams at Wing. Be a part of a dynamic and collaborative team at a company backed by Alphabet. The US base salary range for this internship position is the salary range below + benefits. Wing's salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. Salary Range$122,000-$128,000 USD Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.

Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing's fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us. About the Program: Join Wing's 12-week paid summer internship! This is a hybrid, in-person program based in Palo Alto, CA, with start dates in May or June. Eligible candidates must be a current student enrolled in a degree program and intend to return to the program after the completion of the summer internship. About the Role: Wing is looking for a Field Quality Intern to join our Quality team based in Palo Alto, CA. Our team evaluates the quality of our product from design (prototype) to components to contract manufacturers and the field. In this role you will: Simplify Nest cable management and layouts to make them easier to build and maintain. Identify points of failure in the current system and develop mitigations Engage with cross-functional Design, Manufacturing, and Operations Teams to develop and implement appropriate design improvements Support in developing roadmap for updating all existing and future Nests to incorporate mitigations and design improvements What You'll Need: Currently pursuing a Bachelor's or Master's degree in Mechatronics Engineering, or related field, graduating between December 2026 and August 2027 Mechanical Drafting (SolidWorks) and Electrical Wiring Diagram creation experience Strategic mindset to understand the needs and comprehend requirement which can be converted to actionable and viable plans Ability to work independently to investigate issues and communicate findings to cross-functional teams Strong interpersonal and cross-functional communication skills The US base salary range for this internship position is the salary range below + benefits. Wing's salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process. Salary Range$112,000-$117,000 USD Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry. We are looking for interns for our Summer program. As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. How you'll make an impact: Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today Research, prototype, and generally assess the feasibility of new approaches Imagine and then implement new features that unlock magic for our users Characterize and quantify the performance of core components of the software and hardware stack What makes you a strong fit: High proficiency in C++ and/or Python and PyTorch Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure Solid software engineering foundation and a commitment to writing clean, well-architected code Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The annual base salary range for this position is $47/hr for Undergrad and $53/hr for Graduate students* Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. *For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry. We are looking for interns for our Summer program. As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. How you'll make an impact: * Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today * Research, prototype, and generally assess the feasibility of new approaches * Imagine and then implement new features that unlock magic for our users * Characterize and quantify the performance of core components of the software and hardware stack What makes you a strong fit: * High proficiency in C++ and/or Python and PyTorch * Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure * Solid software engineering foundation and a commitment to writing clean, well-architected code * Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The annual base salary range for this position is $47/hr for Undergrad and $53/hr for Graduate students* Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. We are looking for interns for our Summer program. You will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our planning and controls and product engineering teams. How you'll make an impact: * Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today * Research, prototype, and generally assess the feasibility of new approaches * Imagine and then implement new features that unlock magic for our users * Characterize and quantify the performance of core components of the software and hardware stack What makes you a good fit: * Demonstrated enthusiasm for one or more of the following: motion planning, dynamics and controls, 3D graphics, computer vision, deep learning, distributed systems, tools/infrastructure, mobile * Solid software engineering foundation and a commitment to writing clean, well-architected code * High proficiency in C++ and/or Python * Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The hourly rate for this position is $47/hr for Undergrad and $53/hr for Graduate students* Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************

At Optimus Steel, being the best at what we do today is just not sufficient, that's why our mission is to Always Strive for Perfection in Everything We Do. Located in Beaumont, Texas, Optimus Steel produces a wide range of high -quality Wire Rods, Coiled Rebar, and Billets. Throughout the years, our mill has been recognized with awards for safety, community service, outstanding engineering, environmental improvement, and quality management with ISO 9001 certification. Our experienced sales and technical support teams have over 120 years of combined experience creating solutions that help our customers succeed. This, combined with multiple logistics options, produces a powerful value proposition for the customers and markets we serve. Responsible for the safety of all on -site construction activities Participate and review the Construction Execution Plan Helps recruit and directly sub -manages the projects on -site Collaborates with the civil project manager and the engineering manager to ensure site QA Reviews and approves contractor schedules and planning baseline and ensure construction progress on the plan Ensures construction work planning is robust and timely Requirements Minimum 1 year of experience Graduates only Advanced English Benefits Flight to the US Shared Housing Medical Insurance J1 Visa provided

At Optimus Steel, being the best at what we do today is just not sufficient, that's why our mission is to Always Strive for Perfection in Everything We Do. Located in Beaumont, Texas, Optimus Steel produces a wide range of high -quality Wire Rods, Coiled Rebar, and Billets. Throughout the years, our mill has been recognized with awards for safety, community service, outstanding engineering, environmental improvement, and quality management with ISO 9001 certification. Our experienced sales and technical support teams have over 120 years of combined experience creating solutions that help our customers succeed. This, combined with multiple logistics options, produces a powerful value proposition for the customers and markets we serve. Help to develop and implement action plans in the engineering department Elaborate and follow -up planning for projects. Support the coordinators on the development of technical studies of feasibility Practice administrative tasks that involve budgeting and investments, management and additionally performance evaluation of team members, will calculate the Engineering performance KPIs. Requirements Minimum 1 year of experience Graduates only Advanced English Benefits Flight to the US Shared Housing Medical Insurance J1 Visa provided

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team - a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals - collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience. Job Description and Responsibilities: This is a new role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer Intern, your responsibilities will encompass: Developing and optimizing embedded software for robotic surgery applications Streamlining our codebase by refining and, when necessary, retiring legacy embedded software Rigorous testing and validation of software systems to meet the highest safety and reliability standards Participating in peer code reviews Writing drivers and applications to extend the functionality of our robotics Specifying hardware and software choices as we develop future hardware platforms Sharing your findings and progress with the team in a collaborative environment Required Qualifications: Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving Proven experience in software development, preferably with exposure to embedded systems Preferred Qualifications: Embedded Software Development: 2+ years of experience with embedded systems Proficient with common communication protocols (SPI, UART, I2C, etc.) Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3 Proficient in at least one embedded language such as C, C++, or Rust Proficient with embedded toolchains and workflow Experience building and bringing-up MCUs or FPGAs Experience with embedded stacks for ARM cores Experience developing on embedded Linux platforms Experience with embedded Linux kernel configuration and device tree setup Experience with kernel driver development Experience with ARM bootloaders Experience coding drivers for actuators and sensors Experience with high-speed data acquisition and processing Electrical Engineering: Foundational understanding of MCU architectures and peripheral integration Solid knowledge in electrical engineering and DSP Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Flat Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces. Required Qualifications: Evidence in delivering high-impact projects either in academia or industry Prior experience designing and building Machine Learning models Deep understanding of machine learning concepts and fundamentals Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders Excellent communication and collaboration skills Strong coding skills, with a focus on clean, efficient, and scalable code development Preferred Qualifications: Experience working with time series or unstructured data Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

Join the E-commerce Global Supply Chain and Logistics team at TikTok! We're enhancing the shopping experience and reducing logistics operational costs. We are seeking brilliant and motivated graduate software engineers, who are eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and statistical inference to real-world challenges. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities: - Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business; - Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion; - Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history; - Participate in the growth of e-commerce merchants/creators, responsible for the growth algorithm of e-commerce merchants/creators, including potential merchants/creators mining algorithm, tiering algorithm, out-reach algorithm, growth algorithm, etc. Work closely with e-commerce merchants/creators related operations and product teams to achieve the high-quality growth goal of e-commerce merchants/creators; - Combined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios. Minimum Qualifications: - Currently pursuing a PhD degree in fields such as artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning; - Experience in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience; - Experience in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.) Preferred Qualifications: - Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship; - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications; - Internship experience or research experience, especially in e-commerce, supply chain, logistics, and transportation; - Published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: *******************************************

TEAM INTRODUCTION The Traffic Infrastructure Global Engineering (TIGE)-Traffic Platform team at ByteDance builds and operates multi-cloud based large scale network services around the world that we use to accelerate and optimize network traffic for Tiktok and a variety of application services for ByteDance internal customers, which include but are not limited to layer 4/7 loadbalancing, layer 4/7 acceleration, global ingress, forwarding proxy etc. By joining us, you can work within a brilliant team and learn how to build Tiktok scale network traffic platform which serves billions of users globally. To better support Tiktok, the TIGE- Traffic Platform team is seeking interns who can help contribute to our multicloud based Cloud Native Traffic Platform. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. This Internship Program runs for 12 weeks beginning in May/June 2025. Successful candidates must be able to commit to one of the following summer internship start dates below: Monday, May 12 Monday, May 19 Tuesday May 27 (Memorial Day May 26) Monday, June 9 Monday, June 23 We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date). Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. RESPONSIBILITIES • Build, expand and operate Bytedance's global traffic platform, including large-scale systems in public and private clouds, edge data centers. • Build tools, automations, visualizations and monitors to facilitate the operation and optimization of the global traffic platform. • Work in a fast-paced environment. Participate in technical operations and rotations in response to performance and reliability issues. • Help improve the whole lifecycle of infrastructure services from inception and design throughout development, to deployment, user support and refinement Minimum qualifications • Master's degree (or Bachelor's degree with 3+) years of experience in Computer Engineering, Electrical Engineering, Computer Science or related major • 3+ years experience in one or more programming languages such as Go, Python and Shell script. Familiar with Cloud and CI/CD framework/Tools, such as GIT, Docker, Kubernetes, etc. Self-driven and capable of coping with ambiguity and moving projects from concept to delivery. • Strong in analytical skills and the ability to solve real world problems in a fast moving environment. Preferred qualifications • Experience in networking technologies such TCP/IP, HTTP, DNS, etc. in a carrier-grade environment. • Experience in developing and operating one or more of the following systems: Kubernetes, Nginx, ipvs, ELK stack, etc.

Team Introduction The TIGE (Traffic Infrastructure Global Engineering) team serves as the world's premier edge cloud computing and CDN service, offering enterprise users with Content Delivery Network, Edge AI, Edge Security, Edge Computing services, and Traffic Platform services. Our team is responsible for developing and managing edge cloud, CDN and traffic technologies to support billion users and ensure performance, compliance, security and cost efficiency. In line with our commitment to excellence, we are looking for talented individuals to join us for an internship in 2025. Internships at Bytedance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at Bytedance. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in ByteDance's technical online assessment. Responsibilities - Researching and developing advanced algorithms or systems to enhance ByteDance's overseas infrastructure platform in reliability, performance, efficiency, resource allocation, and feature capability. - Working with our platform development teams to enrich the maturity of our content delivery system in order to support the rapid growth of ByteDance's products, e.g. TikTok, CapCut, Lemon8, etc. - Proposing and developing advanced and practical solutions to enhance our focused metrics like cost efficiency, traffic optimization, virtualization performance, as well as other more comprehensive metrics, like availability or stability, and resource efficiency. - Collaborate with a team and lead the full lifecycle of project development, including industry cutting-edge technology trend investigation, solution design, implementation, and validation. Minimum Qualifications - Currently pursuing an advanced degree in Computer Science, Electrical Engineering, or related fields. - Strong independent thinking, problem solving capability. - Experience with programming languages like Golang, Python, Java, C/C++, or similar. - Knowledge of algorithms and software development. - Excellent communication and collaboration skills. Preferred Qualifications - Background in networking, load balancing, distributed systems or large scale dynamic systems. - Knowledge of performance metrics, data/cost modeling and real-time systems. - System virtualization in VM, container, or networking. - Experience with kubernetes and cloud-native technologies. - AI platform, AI workload engine, or AI specific infrastructure. -Must be able to commit to a 12-week full-time work period during Summer or Fall 2026. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: *******************************************

We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at ByteDance. Internships at ByteDance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 Online Assessment Candidates who pass resume screening will be invited to participate in ByteDance's technical online assessment. About the team The PICO Foundation team builds the core technologies to make the immersive XR experience possible. From runtime software to developer SDK and game engines, the team is responsible for creating and optimizing XR technologies vertically across the software stacks, empowering our developers to create the best XR applications. The team is looking for a strong technical candidate who can help explore, research and build innovative new 3d graphics solutions in the XR space. Job Responsibilities: - Develop innovative and highly performanced XR Graphics features - Develop PICO XR System Software - Graphics and performance tool development - Organize research data, write technical reports, and publish research papers. Minimum Qualifications: - Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline - Able to commit to working for 12 weeks during Summer 2026 - 3D Graphics rendering experience - Good understanding of Vulkan or OpenGL - Strong C++ programming skills Preferred Qualifications: - Papers published at CVPR, SIGGRAPH and other top conferences/journals. - Familiar with Qualcomm SOC and low level GPU profiling library. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: *******************************************

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do Data Engineering & Pipelines Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems Distributed Systems & Scalability Learn to design and optimize backend systems that support large-scale, real-time decisioning Contribute to improving system performance, reliability, and latency under high transaction volumes AI Applications & Agentic Flows Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation Machine Learning Pipelines Help deploy and monitor pipelines for unsupervised and supervised ML models Assist with integrating models into real-time scoring APIs and decision engines Privacy & Security Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data Cross-Functional Collaboration Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features Requirements Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field Passionate about learning how real-world AI systems are built at scale Comfortable working with complex technical problems and eager to grow through mentorship Strong programming skills in Python Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases Cloud platforms (AWS) and containers (Docker) Stream processing or real-time systems Interest in fraud, risk, or security domains (not required) Benefits Hands-on experience working on production-scale AI systems Mentorship from senior engineers and data scientists Exposure to cutting-edge agentic AI and LLM applications Opportunity for full-time conversion based on performance and business needs Comp Range, $25 - $70/hour

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do Data Engineering & Pipelines Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems Distributed Systems & Scalability Learn to design and optimize backend systems that support large-scale, real-time decisioning Contribute to improving system performance, reliability, and latency under high transaction volumes AI Applications & Agentic Flows Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation Machine Learning Pipelines Help deploy and monitor pipelines for unsupervised and supervised ML models Assist with integrating models into real-time scoring APIs and decision engines Privacy & Security Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data Cross-Functional Collaboration Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features Requirements Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field Passionate about learning how real-world AI systems are built at scale Comfortable working with complex technical problems and eager to grow through mentorship Strong programming skills in Python Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases Cloud platforms (AWS) and containers (Docker) Stream processing or real-time systems Interest in fraud, risk, or security domains (not required) Benefits Hands-on experience working on production-scale AI systems Mentorship from senior engineers and data scientists Exposure to cutting-edge agentic AI and LLM applications Opportunity for full-time conversion based on performance and business needs Comp Range, $25 - $70/hour

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do * Data Engineering & Pipelines * Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink * Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems * Distributed Systems & Scalability * Learn to design and optimize backend systems that support large-scale, real-time decisioning * Contribute to improving system performance, reliability, and latency under high transaction volumes * AI Applications & Agentic Flows * Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) * Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation * Machine Learning Pipelines * Help deploy and monitor pipelines for unsupervised and supervised ML models * Assist with integrating models into real-time scoring APIs and decision engines * Privacy & Security * Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data * Cross-Functional Collaboration * Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features * Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field * Passionate about learning how real-world AI systems are built at scale * Comfortable working with complex technical problems and eager to grow through mentorship * Strong programming skills in Python * Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development * Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus * Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) * Coursework or project experience with: * LLMs, RAG architectures, LangChain, or vector databases * Cloud platforms (AWS) and containers (Docker) * Stream processing or real-time systems * Interest in fraud, risk, or security domains (not required) * Hands-on experience working on production-scale AI systems * Mentorship from senior engineers and data scientists * Exposure to cutting-edge agentic AI and LLM applications * Opportunity for full-time conversion based on performance and business needs * Comp Range, $25 - $70/hour

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite (5 days a week) at Headquarters in Sunnyvale, CA Our Team's Vision: We are looking for a motivated intern who is interested in backend, platform, or site reliability engineering (SRE). This internship will provide hands-on experience with cloud infrastructure, automation, and modern SRE tools. You will work alongside our Operations, Platform, and Engineering teams to help support the latest Illumio products and learn how large-scale, secure, and highly available systems are built and maintained. What You'll Do: Learn how to design and support scalable and reliable cloud infrastructure Assist engineers in monitoring, troubleshooting, and improving platform and application reliability Gain exposure to Kubernetes, Docker, and cloud-native technologies Help automate tasks and processes using scripting languages (Python, Go, or others) Work with engineers to strengthen security, compliance, and observability of systems Shadow engineers in incident management and root cause analysis Participate in team meetings and collaborate on projects to support ongoing initiatives. Your Tool Kit: Currently enrolled in a full-time Bachelors degree program in Computer Science, Software Engineering, or a related field, with an expected graduation date in Winter 2026/Spring 2027 Familiarity with at least one programming or scripting language (Python, Java, Go, or similar) Knowledge in cloud technologies such as AWS, Azure, or GCP Basic understanding of Linux/Unix systems and networking concepts Curiosity about automation, Infrastructure as Code (eg. Terraform), and containerization (eg. Docker, Kubernetes) Eagerness to learn, ask questions, and contribute in a collaborative environment What You'll Gain: Hands-on experience facilitating SOC 2 Type 2, ISO/IEC 27001/27701, PCI DSS 4.0 assessments, and other compliance initiatives Exposure to GRC tools such as VisoTrust, Drata/Safebase, and Apptega Opportunities to identify, create, or improve key security and compliance processes or internal controls Collaboration with cross-functional teams including Legal, Sales, Cloud Operations, and Customer Success Mentorship from experienced professionals in GRC and cybersecurity A deeper understanding of how compliance frameworks support customer trust and business growth A supportive and inclusive environment that values transparency, accountability, and continuous learning Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About The Embedded Team Zipline designs and operates the world's largest drone delivery service providing access to critical medical supplies. Leading the way in drone delivery often means exceeding the capabilities of what's available off the shelf, and as a result we need to engineer the majority of our system in-house. Doubling down on the reliability of our systems by writing embedded applications and drivers close to the hardware is a critical path to delivering to people whose lives will be meaningfully affected by smarter, more equitable access! We trust our team, so we'll trust you. We'll help you (and you'll help us) find an area of technical ownership that you can dive deep into to define system requirements, develop creative and simple solutions, and prove with testing and data that your system meets the rigors and edge-cases of real-world deployment. We are a team that is constantly learning to improve our systems, and ourselves, and we can't wait for you to join us! Among our current challenges: * Design and develop a software platform for the new P2 Zip and the world's cutest Droid delivery and dock system * Scale our flight and distribution center software to allow upwards exponentially more deliveries per day * Prototype, test, and refine next generation flight and ground systems working alongside our mechanical and electrical engineering teams * Develop safe software architecture that will be deployed across the world * Develop perception solutions for any weather and any real world environment * Achieve safety and reliability goals beyond the current state of the art The Role Do you love tinkering with mechanical and electrical devices and watching your code come to life? Does writing safety-critical low-level software intrigue you? Do you see your projects through from start to finish, regardless of what you're working on? Zipline is looking for interns to join our Embedded Systems team to advance our autonomous aircraft and ground systems. In this role, you will work alongside cross-functional partners to develop solutions to some of our trickiest problems. A lot goes into flying vital supplies autonomously, but doing so reliably and at scale is an even bigger challenge. From deploying embedded software to devices across the world, fault response and handling, launching & landing, all the way to integration with our customer's physical & software systems, you will work with and learn from not only some of the most impressive embedded engineers in the field, but from a huge variety of our amazing Zipline team! What You'll Do * Embedded interns own a variety of big problems integral to our system! Examples of previous projects included: * Building an RF radio test setup to validate antenna performance of the flight compute at the production end-of-line. Responsibilities include owning the entire system-from RF signal injection, testing, and validation, to developing manufacturing software test suites, integrating with Hardware-in-the-Loop (HIL), and leveraging simulation to model and measure worst-case scenarios. * Develop firmware for a real-time coprocessor that manages high-frequency signals and I/O expansion for the Linux camera subsystem. Own the overall system design, contribute to board design revisions, and validate signal integrity, jitter, and clock alignment. * Building a high data rate voltage and current telemetry system that runs continuously in our RTOS using ADCs, I2C devices and GPIO interrupts. Testing this feature rigorously, deploying it to production globally, building data analysis tools to verify that the feature is working properly, and using this data to root-cause tricky failures to improve the reliability of our systems. * Rapidly iterating on the concept of a new perception system, integrating compute modules and sensor prototypes to fly a proof of concept ASAP and de-risk key aspects of the approach. * Working with operations teams to identify ways to improve our ground systems behavior to enable faster aircraft launch and landing. Prioritizing changes by obtaining engineering leadership buy-in, and implementing them by using a variety of bench-top and real flight-test methods to verify the code. Ultimately, rolling out the update to global operations! What You'll Bring * Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible. * Pursuing a degree in Electrical Engineering, Computer Science, or Computer Engineering * You've designed, built and/or deployed electromechanical systems or robots, inside or outside the classroom. * You're comfortable working in one of C, C++, Python, or Rust, and have developed software for a real time operating system or embedded Linux. * You are comfortable getting feedback so that you can learn to write code that is efficient, easy-to-read, well-tested, has friendly APIs, and incurs minimal technical debt * You're familiar with basic electrical engineering concepts, such as reading schematics, debugging with an oscilloscope, and communication protocols (CAN, SPI, UART, etc). What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco or Dallas office. We will host our Summer 2026 interns from May or June to August. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $38 - 42/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.