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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. As the key talent within High Bandwidth Memory (HBM) Product Engineering Media Health team, you will involve in both intrinsic and extrinsic reliability test program coding for Micron’s latest HBM products. Your responsibility is to develop new reliability test flow (eg: extended wafer level burn in, pWLRx, ELFR etc), both on DRAM and Interface die and a stacked product for extrinsic DPM (Time0 and Field DPM) and intrinsic reliability assessment to meet critical KPI’s Quality, Cost and Cycle Time. You will play pivotal role in ensuring the reliability and robustness of our products through advanced coding practices and comprehensive testing. This position demands a strong grasp of engineering principles, adept problem-solving skills, and a relentless dedication to maintaining high-quality standards. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization. The future of HBM are exciting and dynamics. Micron is seeking experienced individuals that find technical challenges engaging and invigorating. Responsibilities: Reliability Test Program Coding: Writing and debugging test programs for HBM device and package qualification

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute. Experience building integrations across multiple model providers. Experience with AW

As a Senior Software Engineer on Coder’s Agentic Engineering team, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences. To provide substantive overlap with the team, this position must be in Eastern Time. What you’ll do here Design and build production systems in Go, with work across React and TypeScript where needed. Improve agent execution, tool use, context management, streaming, and long-running workflows. Extend our provider-agnostic architecture as models and capabilities change. Build reliable integrations between agents, workspaces, tools, and developer infrastructure. Own projects from implementation through rollout and iteration. Contribute to design reviews, code reviews, and technical discussions. Partner with Product and Design to turn agent capabilities into useful developer experiences. Improve the reliability, performance, and operability of agentic systems. What we’re looking for Strong experience building and operating production software systems. Hands-on experience with Go. Experience with React and TypeScript. Experience building systems around LLMs or agentic workflows. Familiarity with model APIs, tool calling, context management, or agent loops. Good understanding of distributed systems and production reliability. Working knowledge of AWS. Strong problem-solving skills and comfort working through technical ambiguity. Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing. Bonus tacos if you have Experience building coding agents, developer tools, or cloud development environments. Experience with MCP, agent tools, or multi-agent systems. Experience with remote execution, sandboxing, or isolated compute.

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. As FE CPIE CPI PI Senior Engineer at Micron Technology, Inc., you will be responsible for working with global Micron network to drive each silicon node's Packaging Product yield, quality improvement, new product introduction (NPI) through technical expertise, business process management and project execution. In addition, you will be responsible in integrating solutions by connecting cross-functional expertise, standardizing the business process and regularly benchmarking internal and external intelligence to achieve the highest value bits and productivity. In addition, you will leverage AI-enabled engineering approaches, advanced analytics, and digital tools to accelerate problem solving, improve productivity, enhance decision quality, and drive continuous innovation across product yield, quality, and business processes. Responsibilities and Tasks Promote worldwide synergy for improved benchmark performance and efficiency gains through global project management and execution, network BKM leveraging and enhancement, and business process creation and re-engineering. Define strategies to ensure that Packaging Technology and interaction with Front End manufacturing process are fully developed and qualified well ahead of any qualific

NVIDIA 2027 New College Graduate: Hardware ASIC Engineering - China — China, Shanghai. Apply via Workday.

NVIDIA 2027 New College Graduate: GPU Architecture Engineering - China — 3 Locations. Apply via Workday.

NVIDIA 2027 New College Graduate: Software Engineering - China — 3 Locations. Apply via Workday.

Staff Engineer Central Process Quality Engineering Deviation Management (Event Deviation) — Taichung - Fab 16, Taiwan. Apply via Workday.

Staff/ Principa/ MTS Agentic AI Architect – Knowledge Engineering — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Principal Consultant – Semantic Data & AI Engineering Capco | Data & Analytics | New York, NY About the Role Capco is seeking a hands-on Principal Consultant to design and build semantic data solutions that make enterprise data usable by artificial intelligence, machine learning, analytics, and business applications. This role is designed for a versatile technical leader who can move across knowledge-graph engineering, AI solution development, data modeling, and data-pipeline delivery. The successful candidate will help clients connect structured and unstructured information, create machine-understandable representations of business knowledge, and provide trusted context for AI applications. You will work across multiple project roles depending on client needs—serving as a semantic architect, knowledge-graph engineer, AI engineer, data engineer, technical lead, or client advisor. This is not a research-only or ontology-only position. The role requires someone who can translate business requirements into practical solutions and contribute directly to architecture, code, data pipelines, testing, and production delivery. What You’ll Do Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products. Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models. Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms. Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents. Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction. Combine graph traversal, vector search, metadata, rules

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. About Micron For more than 47 years, Micron Technology, Inc. has redefined innovation with the world’s most advanced memory and semiconductor technologies. We’re an international team of visionaries and scientists, developing groundbreaking technologies that are transforming how the world uses information to enrich life. The DRAM Customer Enablement team serves as the bridge between Micron's newest memory technologies and the systems that deploy them. We help validate, characterize, and enable new DRAM products across hyperscale cloud, AI, enterprise, client, mobile, and next-generation computing platforms. We are seeking a highly motivated intern who is eager to gain hands-on experience working with cutting-edge memory technologies, cloud computing systems, and AI-assisted software development. This internship provides an opportunity to work alongside experienced engineers while contributing to real-world projects that help bring Micron's latest DRAM innovations to customers. (Disclaimer): While you may not exhibit all of the characteristics/skills listed below today, we are highly interested in a teammate who is motivated to grow in technical breadth and depth. Suppose you are open to learning while being a valued member of a team of premier engineers. In that case, we are determined to help build upon your existing foundation, while rapidly expanding your individual and collaborative skills in this exciting and outstanding opportunity. What You'll Do As 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. Job Responsibilities Key Responsibilities: 1. Production Line Oversight & Continuous Improvement • Monitor production line performance, identify improvement opportunities, and drive initiatives to improve efficiency and quality. 2. Inventory Management & Optimization • Use advanced analytics, scheduling optimization, and reporting tools to strengthen site inventory health and support supply chain stability. 3. Cross-Functional Collaboration • Partner with engineering teams to improve overall inventory performance through business process improvements, scheduling logic development, and data-driven reporting. 4. Visualization & Reporting • Build and implement dashboards and analytical reports to monitor inventory health and provide actionable insights for decision-making. Qualifications: • Strong analytical and problem-solving skills with experience in data visualization tools (Power BI, Tableau preferred). • Knowledge of manufacturing processes and scheduling principles. • Excellent communication and collaboration skills across departments. Preferred Experience: • Background in semiconductor manufacturing or high-volume production environments. • Familiarity with business process improvement and project management methodologies. • Experience in developing automation tools and optimization algorithms. Role Highlights: • Drive digital transformation in manufacturing through automa