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. MTS, Interface Pathfinding Hardware Development Engineer About the Role At Micron, our vision is to transform how the world uses information to enrich life for all. As a global leader in memory and storage innovation, we develop technologies that accelerate intelligence and enable the next generation of high-speed interfaces. Micron’s Interface Pathfinding team drives performance-scaling innovation across circuits, signaling, packaging, and interconnects with a 3–5 year technology horizon. As the Interface Pathfinding Hardware Development Engineer , you will own characterization for a high-speed interface test-chip program: the characterization plan and its success criteria, development of the characterization bench hardware and its automation, the measurement-uncertainty budget, and the correlation report proving the silicon matches the models. You will join a small, senior team spanning analog design, layout, digital design, and verification, working closely with the Chip Lead and the Signal Integrity and Physical Design engineers — driving decisions independently while consulting heavily with other experts across Micron. This is a foundational hire for a growing program. Strong execution early is expected to lead to follow-on projects of increasing scope, team size, and characterization complexity — including an expanding mandate for AI-enabled engineering leadership across the organization. What You’ll Own Characterization Planning • Derive the electr
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Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. At Appian, we’re passionate about technology—we love making it, and we love using it. Joining Appian Engineering offers you the opportunity to learn in an environment that prizes cross-functional collaboration and is deeply committed to your professional growth. We aim to revolutionize the way people work by building a platform so intuitive that our customers can truly thrive. In the Senior Manager of Software Development role, you will provide technical leadership for a specific product area while directly driving the professional development of the engineers on your team. Key Responsibilities: The ideal candidate will manage development teams, oversee architecture decisions, and ensure scalable, high-quality delivery aligned with business objectives. This leader is expected to guide software engineers through solving ambiguous and complex problems. They will champion an AI-first approach and bring deep experience in migrating and modernizing legacy applications using cloud-native, modular architectures and emerging technologies. We are looking for someone with an established background in delivering highly scalable systems and a strong operational track record while working across multiple teams. This role provides the autonomy and ownership needed to innovate and solve the industry's most difficult problems. Leadership & Team Management Passion for mentoring and developing engineering talent: Lead and mentor a team of developers, architects, and analysts. Set very high standards for the team and in hiring talent. Manage end-to-end
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Summary: As a Principal Software Engineer at Appian, you will be the primary technical strategist, responsible for shaping the architectural foundation of our platform. Your role involves anticipating future challenges and implementing innovative solutions today. You will drive complex cross-functional initiatives, ensuring Appian remains a leader in the low-code and automation industry. Responsibilities: Define the long-term architectural vision and governance for the Appian platform. Identify systemic technical risks and lead task forces to resolve architectural bottlenecks. Develop internal tools and SDKs to simplify infrastructure and enhance developer productivity. Conduct deep-dive troubleshooting for complex production issues. Promote AI-native engineering practices and integrate AI features into the platform. Lead the development of core platform libraries and high-risk prototypes. Participate in the Architectural Guild and review high-impact design documents. Mentor lead and senior engineers, and represent Appian in the tech community. Ensure operational resilience with self-healing and highly available systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 15+ years of software engineering experience, with significant experience in architecting large-scale distributed systems. Strong understanding of data structures, algorithms, and design patterns. Proven transformational leadership in technological migrations or strategies. Expertise in Java and Cloud-Native ecosyst
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We're looking for an Engineering Program Manager — or a technical engineer ready to move into program management — to help drive execution on our RISC-V CPU team. You'll work across architecture, design, verification, physical design, and DFT to keep a high-performance CPU program moving from spec through tapeout and post-silicon debug. Partnering with a senior program lead and engineering managers, you'll own schedules, track milestones, surface risks early, and keep cross-functional teams aligned. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Experience in CPU, SoC, or silicon development — as an engineer, technical lead, or program manager. Comfortable working with cross-functional engineering teams and translating technical detail into clear status, dependencies, and trade-offs. Organized and proactive; you chase down open items rather than waiting for them to resolve. A clear communicator who can hold your own in engineering discussions and write updates leadership can act on. What We Need Support the full CPU development cycle — spec, design, verification, DFT, ta
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's App Primitives team owns the shared building blocks that span data structures to UI: comments, notifications, event logs, feature flags, and task management. We own the general infrastructure; product teams own the logic built on top. Getting this layer right unlocks velocity for every team at Vanta. As the Engineering Manager, App Primitives at Vanta, you'll lead the team building the shared product primitives that every Vanta product team depends on, owning the infrastructure layer that makes collaboration, communication, and core workflows possible across the entire platform. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow the App Primitives team, owning hiring, team health, delivery, and the development of senior engineers and technical leads Own the strategy and roadmap for Vanta's shared product primitives: comments infrastructure, notifications platform, event log, feature flag system (Statsig), and task management Define and steward the interface model between App Primitives systems and product teams, ensuring product teams can build on top of shared infrastructure quickly and safely, without owning the underlying systems themselves Partner closely with product engineering leaders across Vanta to surface developer ne
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's App Primitives team owns the shared building blocks that span data structures to UI: comments, notifications, event logs, feature flags, and task management. We own the general infrastructure; product teams own the logic built on top. Getting this layer right unlocks velocity for every team at Vanta. As the Engineering Manager, App Primitives at Vanta, you'll lead the team building the shared product primitives that every Vanta product team depends on, owning the infrastructure layer that makes collaboration, communication, and core workflows possible across the entire platform. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow the App Primitives team, owning hiring, team health, delivery, and the development of senior engineers and technical leads Own the strategy and roadmap for Vanta's shared product primitives: comments infrastructure, notifications platform, event log, feature flag system (Statsig), and task management Define and steward the interface model between App Primitives systems and product teams, ensuring product teams can build on top of shared infrastructure quickly and safely, without owning the underlying systems themselves Partner closely with product engineering leaders across Vanta to surface developer ne
Aliases: Staff Engineer, Senior Staff Engineer, Lead Engineer, Senior Technical Lead, Senior Architect, Platform Architect, Data Architect, Solutions Architect (Engineering), Principal Engineer at a smaller company About Truveta Truveta is the world's first health provider-led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta's ambitious vision requires an incredible team of talented and inspired people with a unique combination of health, software, and big data expertise who share our company values. This opportunity Join the founding team of the Truveta India Development Center and play a pivotal role in shaping its future. As one of the early members, you will help build and scale a high-impact organization while contributing to the products and platforms that advance healthcare through data and AI. This is an unusual chance to influence both the technical direction and the culture of a growing global engineering hub. The Data Platform group in India owns parts of the pipeline that ingests, processes, stores, and serves healthcare data at a scale very few organizations operate at. Patients, doctors, and medical researchers deserve the same engineering rigor that has transformed other industries, and that is the work: correctness under volume, reliability under failure, and speed without cutting the corners that regulated health data does not allow anyone to cut. Who we need We are seeking engineers who think in platforms. You will own a processing domain or a multi-team data capability, define its architecture, and make that architecture legible enough that the teams building inside it can move quickly without asking permission. The problems at this level are the recurring ones: the class of data-quality defect that keeps retu
We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l
We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l
About us 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 a best-in-class 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 a diverse group of 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 We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track
We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in
Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... Here at GoDaddy, the ML Engineering (MLE) team exists as the backbone of our machine learning infrastructure, enabling ML scientists and product teams across Domains to ship models to production reliably, efficiently, and at scale. This team owns the full lifecycle of ML systems — from CI/CD pipelines and model serving infrastructure to GPU workload orchestration and observability. Through disciplined engineering practices, thoughtful system design, and close collaboration with ML scientists, data engineers, and product teams, we deliver the platform that powers domain search, pricing, recommendations, and emerging AI experiences for millions of customers worldwide. We are currently looking for an experienced, highly motivated Senior Engineering Manager to lead our ML Engineering team based in India. This is an established team with existing engineers — we expect the candidate to ramp up quickly on our ML infrastructure stack, build strong relationships with the team, and partner with both India-based teams and US-based teams to drive execution and grow the team further. This individual will join us on our journey to build and scale ML infrastructure that serves real-time predictions at low latency, automates model deployment and promotion, and provides the observability and reliability guarantees that production ML systems demand. Become part of a team that bridges the gap between ML research and production engineering — shipping systems that directly impact GoDaddy's core revenue. What you'll get to do... Lead a team o
OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Software Engineer, Platform & Integrations . Working closely with senior and lead engineers, you will design, develop, and maintain high-quality features that power enterprise data exchange for more than 1,000 customers worldwide. This is an incredible opportunity to deepen your expertise in cloud-native architectures, enterprise security, and modern DevOps practices in a fast-growing product environment. Feature Development & Design: Write clean, maintainable, and well-tested code using Java and Spring Boot to deliver scalable backend services and microservices. Platform Reliability: Contribute to enhancing the monitoring, logging, and observability of our core platform to ensure high availability and performance. Security & Compliance: Implement secure coding practices to safeguard data exchange and maintain compliance across our cloud infrastructure. Collaborative Execution: Work within an agile team, collaborating closely with QA, Product, and fellow engineers to deliver high-qual
Cloud Platform Administrator (Mid-Level, Senior or Lead) **Sign on Bonus Potential** Company: The Boeing Company The Boeing Company’s Specialized United States Infrastructure Operations is currently seeking a Cloud Platform Administrator (Mid-Level, Senior or Lead) to join the team in Berkeley, MO; Seattle, WA; or Daytona Beach, FL . The Infrastructure team is seeking a skilled platform engineer to help build and operate the cloud platform services that host critical enterprise applications and software toolchains. In this role, the selected candidate will focus on the shared platform capabilities that enable teams to deploy, run, and maintain containerized and cloud-hosted solutions in a consistent and supportable manner. As both an individual contributor and technical leader, this position will help define and implement platform standards for Kubernetes, container hosting, deployment automation, configuration management, and operational support. This role is focused on platform reliability, repeatability, scalability, and service enablement, rather than custom application software development. Position Responsibilities: Design, implement, and maintain cloud platform services supporting Kubernetes, containers, ingress, storage integration, secrets management, and service connectivity Build and sustain reusable deployment patterns for Commercial-Off-The-Shelf (COTS), Open Source Software (OSS), and internally customized applications Develop and maintain automation for platform provisioning, upgrades, patching, and lifecycle support Manage cluster lifecycle activities including: Cluster upgrades Node management <
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