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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. Job Description What You’ll Do Team Leadership & Talent Development: Lead and develop global engineering and analytics teams across multiple levels. Recruit, mentor, and grow analysts, engineers, and contractors into high–performing contributors. Foster a culture of technical excellence, collaboration, and continuous improvement. Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement. Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations. Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to troubleshoot yield issues and support defect reduction strategies. Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins. Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, streamlit) to communicate technical concepts and project outcomes

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. Location Singapore Department Process and Equipment Engineering Project Title Artificial Intelligence Transformation for Process and Equipment Engineering Project Description Artificial Intelligence Transformation for Process and Equipment Engineering aims to enhance engineering productivity, manufacturing excellence, and data-driven decision-making through the application of Artificial Intelligence, automation, and advanced data analytics. The intern will undertake a defined engineering project that explores how AI-Enabled tools and digital workflows can improve the way engineers access technical information, analyze manufacturing data, investigate engineering challenges, develop solutions, and identify improvement opportunities across process and equipment domains. The project provides an opportunity to gain practical experience in semiconductor manufacturing, engineering analytics, AI-Enabled application development, and responsible use of Generative AI. The intern will collaborate with engineers and relevant subject-matter experts while developing and validating a project-based solution. Objective of the Project Identify a suitable process or equipment engineering u

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Product Data Scientist to establish how product decisions at Baseten are made with data. You'll work directly with Product and Engineering, alongside GTM to determine measurement, strategy, experimentation and implementation. This is a foundational, hands-on role. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape product strategy. You'll work from clickstream and product events through inference telemetry and observability data, helping Baseten make faster decisions about reliability, performance, adoption and developer experience. RESPONSIBILITIES Partner directly with Product and Engineering: frame the questions that matter, define success criteria, and turn analysis into roadmap, launch, and prioritization decisions. Define how product success is measured: establish metrics across activation, adoption, retention, expansion, reliability and user experience. Support experimentation and launches: design measurement plans, analyze A/B experiments and controlled rollouts, and translate results into product decisions. Diagnose reliability and scaling behavior: join customer signals with request, replica, deployment, and cluster telemetry to find patterns in release bottlenecks, unhealthy replicas, and models without traffic. Define the enterprise customer journey and measure feature adoption

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. At Micron's Boise R&D site, the DRAM Technology Development organization drives innovation in next-generation memory solutions. The team develops advanced DRAM cell architectures, access devices, materials systems, and integration technologies that enable future scaling, improved performance, enhanced reliability, and manufacturing readiness. Engineers work across device, materials, process integration, modeling, design, and product engineering teams to bring groundbreaking memory technologies from concept to production. As an intern in the Advanced DRAM Device & Cell Technology team, you will contribute to the development and characterization of future DRAM cell and access device technologies through experimental studies, data analysis, and collaboration with multidisciplinary engineering teams. This position combines semiconductor device physics, materials engineering, silicon experimentation, electrical characterization, and data-driven decision making to improve cell performance, density, retention, reliability, and manufacturability. The successful candidate will collaborate with multi-functional teams to evaluate novel materials, device architectures, and integration schemes supporting future memory technology development. Responsibilities Support the evaluation of DRAM access devices, capacitors, and cell stack elements through characterization, data analysis, and assessment of new device architectures, materials systems, and integration schemes. Design and implement

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ's Connectivity Software team is building foundational software that enables the next generation of connected experiences across devices and platforms. Our team works at the intersection of systems software, wireless connectivity, and emerging technologies to create seamless, intelligent experiences. We are looking for an Intern to join the team and contribute to the software, protocols, and systems that bring these experiences to life. In this role, you will work alongside experienced engineers to develop on-device software for next-generation HP IQ experiences. You’ll contribute to the design, development, and implementation of software across emerging devices and platforms. This is a hands-on technical role where you’ll write code, solve complex system-level problems, and collaborate with engineers to explore and build new experiences. What You Might Do Develop on-device firmware and system software in C, C++, or Python for connected device experiences. Build and enhance software supporting wireless connectivity across a variety of devices and platforms. Explore sensing, machi

We are seeking an Engineering Manager to join our growing Gurugram Product & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As an Engineering Manager on this new team, you will be responsible for leading and growing an engineering team, taking on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement Drive the architectural vision for the platform, ensuring it runs equally well on public clouds, private cloud environments and on-premise Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvements Take responsibility for the planning and execution of major features, raise delivery risks Own the monitoring, operations, and maintenance of the systems your team develops Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being Contribute to planning for organizational growth, including allocation of engineering resources, participate in hiring and assignment of projects Qualifications 8+ years of experience of building distributed systems, and/or foundatio

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are seeking a detail-oriented Credit Analyst to join our risk management team. The ideal candidate will be responsible for implementing credit risk policies, optimizing risk policies, and ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance our underwriting models and decisioning frameworks. Key Responsibilities: * Analyze credit risk across various products, including merchant and personal loans, postpaid. * Liaison with the business team to understand the credit risk policies and implement the same on platform. * Implement the credit risk policies on our proprietary platform. * Monitor performance of credit risk policies. Share feedback with product and Policy team what's working well and what needs improvement. * Utilize alternative data sources, machine learning models, and traditional credit assessment techniques to enhance risk evaluation. * Conduct testing and scenario analysis to measure policy resilience. * Monitor key risk indicators (KRIs) and provide actionable

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. Micron Technology is a global leader in innovative memory and storage solutions that transform information into intelligence. The EUV Lithography team develops and advances groundbreaking photolithography technologies that enable next-generation semiconductor products. Working at the forefront of semiconductor innovation, the team collaborates across process integration, metrology, etch, wet process, and manufacturing fields to solve complex technical challenges and drive technology scaling. Micron internships provide hands-on experience in semiconductor research and development through meaningful technical projects, mentorship from experienced engineers, and exposure to advanced manufacturing technologies. Interns contribute directly to initiatives that support both current and future product development. As an EUV Lithography Intern, you will work on projects that support the advancement of semiconductor manufacturing technologies and next-generation memory products. You will collaborate with multi-functional engineering teams to design experiments, analyze process data, evaluate lithography performance, and develop innovative solutions related to EUV lithography, photoresist materials, process optimization, and line width roughness improvements. Responsibilities Design and execute experiments (DOE) to optimize photolithography processes, including EUV lithography, photoresist performance, and patterning improvements. Plan, coordinate, and support semiconductor process experiments in cleanroom environmen

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 Intro: Join our Process QE team in Taiwan, where we drive innovation and excellence in process quality control and user-friendly and reliable manufacturing system environments. We empower our team members to make a tangible impact on the world. Position Overview: As a Process QE Technician, you will focus on one function within the multifaceted realm of process quality engineering. You will support engineers with routine tasks and collaborate on engineering projects. This outstanding opportunity will allow you to develop your skills in a collaborative and inclusive environment, where your contributions will be valued and your growth supported. Responsibilities: Follow SOPs to perform routines such as system settings, document control, and metrics maintenance. Tasks change based on the function assigned in process QE. Collaborate with senior engineers to analyze and resolve technical issues with detailed solutions. Initiate solutions using Micron's tools to improve labor efficiency and mitigate risks during conversion. Contribute to the continuous improvement of engineering processes and practices. Qualifications & Skills: Proven ability to work in a team-oriented, collaborative environment. Determined and proactive approach to learning and tackling challenges.</

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role HP IQ’s Security Team is creating something the world has never seen before. We are attempting something truly impactful — innovating at the deepest levels of hardware and launching a service that will inspire users to experience computing in an entirely new way. Privacy and security are not just priorities; they are fundamental to our product and essential to our success. What You Might Do We are seeking a software engineering intern ready to take on the challenge of securing users’ devices, users’ data, and HP IQ’s infrastructure. We see security as the key to accomplishing what other companies cannot. If you thrive at balancing exceptional user experiences with strong security, this is the place for you. Essential Qualifications Pursuing a degree (Bachelors or Graduate) in Computer Science or related technical field Strong software engineering skills Ability to thrive in a collaborative environment Interest in privacy & security Interest in product design & development Experience with C, C++, Java or Python Preferred Skills An understanding of security concepts

EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices, such as thermostats, electric vehicles and home batteries. Coordinating and evaluating the performance of all of these devices to forecast and estimate the delivered grid value requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub’s Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics engineers to improve the models used for evaluation of our control algorithms. You will collaborate with the Data Science and Power Systems Intelligence team to understand the algorithms and optimizations used in order to improve our performance evaluation and forecasting abilities. You will also contribute to our data management software systems and will become core to the foundation of a future with carbon-free and distributed energy. What you will do: You will drive the development of M&V methodologies and data science models for more accurate and transparent evaluation of our advanced grid services from fleets of distributed energy resources. You will write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data You will work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders You will collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams. Other duties as assigned Who you are: You are passionate about enabling a carbon-fre

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role as a founding Solutions Architect for Cohere in the Nordics, you will play an instrumental part in growing Cohere’s business in both the Nordics territory and the wider European region. You will partner with account executives, partners, and our executive leadership team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like Saab, TKMS and Thales. SAs at Cohere sit at the cross-section of Forward Deployed Engineering and AI transformation. Our SAs embody the following traits: Technical experts in the field Trusted advisors to customers and colleagues Product evangelists of Cohere technology Thought leaders in pushing the frontiers of applied AI Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable

We are now looking for Chip Design Internships for the Switch Silicon group. As a Chip Design Intern at NVIDIA's Networking business unit, you'll join a group of passionate engineers to implement the next generation state of the art Switch Silicon chips. In this intern position, you'll be part of a dynamic, technology-focused company while closely engaged with developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! What you'll be doing: Understand the fullchip working flow and build infrastructure for better automation, efficiency. Work in a combined design and verification team and develops test facilities for quality assurance. Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW. What we need to see: Pursuing BS / MS in electrical / computer engineering and related. A team player with quick learning, good communication and interpersonal skills. Fluent English (both written and spoken). Experience in RTL design or RTL verification is a plus. Strong scripting

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. Position Overview: As a Process QE Technician, you will focus on one function within the multifaceted realm of process quality engineering. You will support engineers with routine tasks and collaborate on engineering projects. This outstanding opportunity will allow you to develop your skills in a collaborative and inclusive environment, where your contributions will be valued and your growth supported. Responsibilities: Follow SOPs to perform routines such as system settings, document control, and metrics maintenance. Tasks change based on the function assigned in process QE. Collaborate with senior engineers to analyze and resolve technical issues with detailed solutions. Initiate solutions using Micron's tools to improve labor efficiency and mitigate risks during conversion. Contribute to the continuous improvement of engineering processes and practices. Qualifications & Skills: Proven ability to work in a team-oriented, collaborative environment. Determined and proactive approach to learning and tackling challenges. Independent thinking ability. Intermediate PC skills, including familiarity with MS Office. Ability to learn quickly and maintain carefulness. Time management, organization, and pri

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 Realtime Defect Analysis (RDA) Yield Technology team supports advanced DRAM research and development by identifying, analyzing, and reducing manufacturing defects that impact yield and product performance. The team partners closely with engineers across R&D and High Volume Manufacturing to improve process stability, accelerate learning cycles, and drive continuous improvement through data-driven decision making. As an RDA Yield Technology Intern, you will gain hands-on experience with innovative semiconductor processing, defect inspection systems, and advanced analytical techniques. You will contribute to projects focused on experimentation, defect detection, data analysis, and process optimization while collaborating with multi-functional engineering teams. This role is ideal for individuals who are passionate about problem solving, root-cause investigation, and leverausingology to improve manufacturing performance. Responsibilities Analyze experimental process flows and defect inspection data to identify anomalies, investigate root causes, and support corrective actions. Partner with R&D and manufacturing teams to improve yield performance through defect detection, process monitoring, and continuous improvement initiatives. Leverage Artificial Intelligence (AI) and data analytics tools to accelerate defect detection, identify yield-impacting trends, automate routine analysis workflows, and generate actionable insights. Use inline defect signals, statistical analys