Advanced Development Engineering Student Jobs

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking! What you’ll be doing: Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware. Demonstrate team architectural concepts with larger NVIDIA AI software stacks. Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects. What we need to see: A current student pursuing a B.Sc./M.Sc./PhD in Computer Science, Electrical Engineering, or Computer Engineering Proficient in C/C++ over Linux OS Development Skilled with gen-AI coding tools A teammate with a can-do attitude, high energy and excellent interpersonal skills. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Stellar communication skills Please share your availability as part of your application. Ways to stand out from the crowd: Experienced in virtualization, networking Experience in development of Linux drives and networking stack Knowledge in AI communication libraries (NCCL, UCX, MPI and equivalents) Experience in Kubernetes NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world work

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an Intern with the Yield Technology RAM group at Micron, you will support process engineering, Real-Time Defect Analysis (RDA), and Metrology activities in a semiconductor manufacturing environment! This internship is designed for a motivated student who is interested in learning how advanced memory products are developed, measured, analyzed, and improved. You will work alongside engineers and technicians to gain hands-on exposure to fab operations, equipment workflows, data analysis, recipe support, and cross-functional problem solving. During this internship, you will gain exposure to semiconductor manufacturing, process development, defect analysis, metrology techniques, and data-driven problem solving. Intern assignments may include supporting recipe workflows, analyzing measurement or defect data, improving documentation, assisting with operational metrics, and contributing to a focused project that supports Yield Technology objectives. The ideal candidate is a curious, collaborative student who wants to learn and communicate ideas clearly. They will engage in significant technical work within a high-impact manufacturing environment. Responsibilities: Complete assigned internship onboarding, safety training, certifications, and learning events to build foundational knowledge of Micron systems, fab operations, RDA, and Metrology workflows. Support Fab 4 Process Development Engineering, Process Integration, RDA, and Metrology teams by assisting with data collection, basic analysis, tool support activi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Innovation, Technology & Products (ITP) organization develops next-generation memory technologies and enables future Micron products. At Albany Nanotech, Micron is expanding its advanced research and development capabilities with a focus on leading-edge lithography, materials innovation, technology pathfinding, and strategic semiconductor ecosystem partnerships. This location plays a critical role in accelerating semiconductor technology development through collaboration with industry leaders, research institutions, and equipment partners. Micron is seeking highly motivated Master's or PhD students to join the Summer 2027 Semiconductor Technology Development Internship Program in Albany, New York. Interns will contribute to advanced semiconductor research projects supporting future memory technologies and process innovations. This internship provides hands-on experience working alongside engineers and researchers in a world-class semiconductor R&D environment. Interns will analyze technical challenges, develop innovative solutions, and present project outcomes to technical leadership at the conclusion of the program. Responsibilities Support semiconductor research and development activities by designing experiments, collecting data, and evaluating results to advance future technology capabilities. Analyze technical and process data using statistical methods to identify trends, solve engineering problems, and develop actionable recommendations. Collaborate with multi-func

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Overview This internship project is designed to provide students with hands‑on learning exposure to data analytics, machine learning, and statistical modeling applied within Process Integration (PI) for advanced NAND technology development. The intern will work on a defined project focused on exploring how data‑driven approaches can support process learning, experimentation, and engineering decision‑making. Through this project, the intern will gain exposure to process, inline, and electrical datasets, and learn how analytical insights can be translated into prototypes, analyses, and documented learnings relevant to PI engineers. Key Responsibilities Build and evaluate data ‑driven models to support PI outcomes such as cycle‑time reduction, faster learning loops, and process optimization. Perform statistical analysis of split experiments (e.g., DOE‑related analysis), including data preparation, feature engineering, and model interpretation. Conduct split-DOE and conversion analytics , including datamining and statistical evaluation of split outcomes (e.g., ANOVA‑style learning). Identify opportunities to accelerate process learning</

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors, software, and data center systems that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our U.S. engineering teams contribute to the hardware and software platforms that support the next generation of AI systems. The Opportunity We are looking for a computer engineering, electrical engineering, or computer science student or recent graduate to join the BMC Development team as a Firmware Engineering Intern. You will work with experienced engineers on low-level and embedded firmware that supports the operation, control, and manageability of advanced compute systems. This internship provides hands-on experience in firmware development, test automation, engineering experiments, and lab-based system testing in a Linux development environment. You will own clearly defined technical tasks with guidance from the team and contribute to production-quality engineering work. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You Will Do Contribute to the design, implementation, and testing of system and embedded firmware. Develop and maintain firmware and supporting software in C, C++, or Python. Support firmware development and debugging in a Linux-based engineering environment. Create automated tests and scripts that improve firmware validation, test coverage, and engineering efficiency. Contribute to continuous integration and delivery workflows for firmware development and testing. Plan and conduct well-defined engineering experiments, record results accurately, and draw conclusions from test data. Support lab setup, system configuration, hardware bring-up, and firmware testing. Use debugging and diagnostic techn

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity As a Mechanical Engineering Intern, you will contribute to the mechanical design and thermal validation of advanced AI hardware. Working alongside experienced mechanical and thermal engineers, you will gain hands-on experience with 3D computer-aided design (CAD), laboratory setup, test development, prototype evaluation, and engineering documentation. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You’ll Do Contribute to mechanical design activities using Creo or comparable 3D CAD software, including part modeling, assemblies, drawings, and design updates under the guidance of experienced engineers. Work with the thermal engineering team to develop test procedures and help set up laboratory capabilities for evaluating AI hardware. Support thermal and mechanical testing using appropriate laboratory equipment; collect, organize, and analyze test data. Assist the mechanical and thermal design teams with prototype evaluation, troubleshooting, design verification, and documentation of findings. Collaborate with cross-functional engineering partners, communicate progress and issues clearly, and follow applicable laboratory and safety procedures. What You’ll Bring Current enrollment in a bachelor's, master's, or doctoral program in mechanical engineering or a related discipline during the internship. Students in other disciplines with relevant mechanical engineering exper

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: Contribute to real engineering problems that push the boundaries of AI-powered software creation Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field At least one semester of schooling remaining after the internship Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework Genuine curiosity about AI, agent systems, company building, or developer tooling Extremely bullish on Replit and the future of AI-native software creation

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. We are embracing AI-first engineering practices across Technology, equipping our engineers with leading AI and agentic development tools and continually evolving how we build software. We are embedding AI-enabled practices across the full software delivery lifecycle - from research and design through development, testing, delivery, and operations, amplifying engineering impact, accelerating innovation and delivery while improving quality. What You’ll Do As a Senior Software Engineer, you’ll play a pivotal role in shaping solutions that impact educators and students every day. You’ll leverage your technical depth and leadership to guide delivery from idea to production, modernize legacy systems, and drive innovation in our evolving product landscape. In this role you will: Architect and deliver high-quality, scalable, accessible software solutions using modern .NET and Angular frameworks. Lead technical design sessions and mentor team members to elevate engineering standards. Collaborate with product stakeholders to consult on solution viability and estimation. Modernize legacy web applications and drive adoption of best practices. Proactively identify and address technical risks and inefficiencies. Create and maintain technical documentation for solutions and processes. Take ownership of the entire solution lifecycle, emphasizing quality and iterative value delivery. Who You Are You embrace AI/agentic assisted development backed by advanced context engineering and prom

Dawn Aerospace and the University of Canterbury are seeking expressions of interest from prospective PhD candidates for a number of fully-sponsored research projects in advanced aerospace engineering. Successful applicants will be enrolled as PhD students at the University of Canterbury and will undertake research projects aligned with real-world aerospace challenges at Dawn Aerospace. Candidates will be supervised jointly by University of Canterbury academics and Dawn Aerospace technical experts. This is a unique opportunity to combine doctoral research with direct exposure to one of the world's fastest-growing space transportation companies. Available Research Projects Three projects are available: Microgravity Thermofluids Analysis and Propellant Management: Research focused on fluid behaviour and propellant management in microgravity environments, supporting the development of future space propulsion systems. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.13-Microgravity-thermofluids-analysis-and-propellant-management.pdf Multidisciplinary Design Optimisation for Hypersonic UAVs: Research focused on advanced design methodologies and optimisation techniques for next-generation high-speed aerospace vehicles. https://bpb-ap-se2.wpmucdn.com/blogs.auckland.ac.nz/dist/e/1107/files/2026/07/ADS-2.14-Multidisciplinary-Design-Optimization-for-Hypersonic-UAVs.pdf Design and testing of novel space-efficient damping structures (Coming Soon): A third PhD project will be published shortly and applicants will have the opportunity to express interest in this project as part of the application process. NOTE: This project is not part of the Applied Doctorate Scheme Questions about a project? We recognise that prospective PhD candidates may wish to better understand the research scope, expected outcomes, funding arrangements, and supervision model before applying. If you would like additional information about any of the pro

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity As a Graduate Performance Engineer, you will contribute to the design, integration, bring-up, and validation of complex server- and rack-level performance of elaborate, large-scale systems. You will work alongside experienced engineers, software developer, and cross-functional partners while building practical skills in component, system and scale up/out performance optimization and design. Start: September, 2027 Location: Austin, Texas, USA What You’ll Do Support the design, peer review, bring-up, and debug of complex server- and rack-level systems. Assist with modeling, design and evaluation of the complete software and hardware stack identifying performance bottlenecks, possible solutions and testing those outcomes. Collaborate with many different teams across both hardware and software development and testing. What You’ll Bring A bachelor’s or master’s degree in electrical engineering, computer engineering, or a related discipline, completed before the role’s start date. Equivalent relevant education or practical experience will also be considered. Foundational knowledge of software development, hardware architecture and general understanding of performance implications. Hands-on experience gained through coursework, laboratories, internships, research, student projects, or personal projects. Ability to analyze technical problems, document your work, communicate clearly, and collaborate effectively. Curiosity, sound engineering judgment, a

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Overview At the Munich Development Center, we develop high-performance memory solutions for the graphics and AI markets. As part of the DRAM Design Engineering Group (DDEG), we collaborate closely with Micron’s global development and manufacturing teams. Our mission is to push the boundaries of memory technology through innovation, precision, and partnership. Role Overview We are looking for a motivated and curious working student or Master’s thesis candidate to join our DRAM design team. This is an outstanding opportunity to gain hands-on experience in integrated circuit (IC) design while working alongside expert engineers in a collaborative, startup-like environment. You will contribute to real-world projects and receive mentorship to support your academic and professional growth. Responsibilities Support the design and simulation of analog or digital circuit blocks under guidance Assist in developing schematics at the transistor level or RTL Participate in functional verification and layout reviews Contribute to testbench development and simulation setup Document design processes and results for internal use or academic reporting Collaborate with cross-functional teams to understand the full memory design flow Leverage generative AI tools to complete tasks in effective manner Optionally: define and complete a master’s thesis project aligned with team goals Required Qualifications Enrolled in a Bachelor’s or Master’s program in Ele

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. About Binance Accelerator Program (BAP) Binance Accelerator Program is a concise 6-months program designed to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world' s leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. You will be hired under a junior fixed term contract. Who may apply current students and recent graduates who can work full-time for a period of 6 months. Responsibilities Responsibilities Design and develop LLM-based agents for Web3 scenarios Build agents for token research and summarization Assist in developing and evaluating trading agents using market and on-chain data Experiment with prompt engineering, mcp, memory, and agent coordination strategies Requirements Strong background in data science, machine learning, or computer science Proficiency in Python and data processing pipelines Experience with agent orchestration, such as planning, routing, tool use, or multi-agent collaboration. E

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Would you like to work in one of the most complex Fab environments in the world? As an industrial engineering intern in our research and development factory you will work on projects that further optimize our very automated factory. This role will provide exposure to larger data sets than you have ever worked with and will challenge your data management skills. Not only will this role significantly grow your skills but will also provide exceptional value to the organization on a real issue in our factory! Responsibilities: Identify key performance indicators for R&D program success. Use large data sources to extract and analyze planning data. Build reporting in Tableau and other systems to convey data to program teams. Construct infographics that display key information in easy-to-understand formats. Leveraging AI tools and find new ways to apply AI in the workplace. Minimum Qualifications: Working towards completion of a Bachelor’s or Master’s degree in the following areas: industrial engineering, manufacturing engineering, supply chain, Operations or other related discipline with expected graduation after this internship timeframe Must be a current student, and cannot graduate prior to September 2027. Ability to code in SQL, Python or similar to execute data extraction. Effective with Excel, Tableau or other data management and visualization software. Preferred Qualifications: Skille

Job Details: Job Description: The Role and Impact: Join Intel's Module Development Engineering team as a manager, where you will lead a group of talented engineers in crafting innovative solutions for next-generation technology development in wafer processing, assembly/test, and module repair factories. As a key driver of Intel's technological advancement, you will play a pivotal role in ensuring the successful development, transfer, and implementation of cutting-edge technologies that enable Intel's leadership in power performance, structural efficiency, and cost optimization. With a focus on driving results and fostering collaboration across multiple organizational boundaries, this role offers an opportunity to make a significant impact on Intel's global manufacturing capabilities and future technological roadmap. Key Responsibilities: - Lead a team of module development engineers to develop, implement, and transfer advanced technology solutions. - Define and oversee technology roadmaps for the module, ensuring alignment with Intel's strategic goals. - Manage resources, set priorities, and foster collaboration across teams to meet project schedules and maximize operational outcomes. - Partner with integration, device, and yield engineering teams to develop robust process solutions that deliver power performance and area leadership. - Build and maintain partnerships with supplier executive management to nurture unique industry ideas and research innovations. - Coach and mentor engineering teams in pathfinding and technology road mapping for advanced technology development. - Develop long-term strategies for module engineering capabilities to support emerging technological requirements. - Ensure accountability and drive team results by setting clear goals, performance benchmarks,

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. About the Role SharkNinja's mission is to positively impact people's lives every day in every home around the world. As we continue to grow, we're adding an Engineering Director to our Advanced Development Floorcare team, based at our Battersea, London office. This role sits at the front end of floorcare product creation, bringing technical depth and inspiration to our creative process. You'll lead the technology and feasibility work that shapes our floorcare product roadmap, working at the intersection of mechanical systems and connected technology (sensors, software, batteries, connectivity) to define what our next generation of vacuums and floor care systems can become. What You'll Do Lead front end engineering development for floorcare products, using ideation and innovation techniques to unlock and drive the roadmap alongside engineering and cross functional PD, ID, Brand and