Advance Packaging Process Development Engineer Jobs

Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop and advance the common performant operating system that powers several devices on our Robotaxi including onboard AI systems running Autonomy software. This team develops platform-level software and services, including custom operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including other software developers, hardware engineering, release management, manufacturing and operations—to support vehicle development and deployment at scale. If you are excited to explore a broad problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain the operating system platform that powers various on-bot devices and applications Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications 4+ years delivering embedded software for production systems Have a deep understanding of Linux, build systems like Yocto, and bootloaders like U-Boot Be familiar with Linux init systems (e.g., systemd), containerization concepts (e.g., chroot, cgroups, Linux namespaces), and filesystems Understand device drivers and kernel-space code and proficiency in a language without automatic memory management (e.g., C or C++), and in multiple scripting languages like bash and Python S

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for talented systems developers and researchers to join the Snowflake AI Research team and advance the state of the art in LLM inference systems and optimization . Our mission is to build the next generation of high-performance and intelligent inference systems. We optimize not only how fast and efficiently models run, but also how quickly inference systems can adapt to new models, architectures, hardware, and workloads. Our work spans the full inference stack—from distributed serving and runtime systems to GPU kernels and model-system co-design. We explore techniques such as adaptive parallelism, speculative and parallel decoding, disaggregated inference, scheduling and batching, KV-cache optimization, model swapping, quantization, and GPU kernel optimization to push the frontier of latency, throughput, scalability, and cost. Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and adapting system configurations with minimal manual tuning. We embrace AI-native engineering , using AI not only as the workload we optimize, but also as a tool to accelerate system devel

The Opportunity Adobe seeks a leader to join our Global Government Relations and Public Policy team to advance our efforts in the UK, located in London. This leader will also support Adobe’s policy involvement in Ireland and the Middle East. The team fosters a vibrant and enjoyable work atmosphere with outstanding opportunities to interact directly with governmental organisations, formulate policy positions, and assist Adobe’s operations. This role includes working alongside senior leaders, advising them, and designing engagement plans when appropriate. The position will report to the EMEA Director based in Germany. We are seeking a creative and well-networked government relations professional who demonstrates initiative. The ideal candidate will possess comprehensive knowledge of digital policies in the UK as well as technology procurement policy procedures. This position demands outstanding communication and interpersonal skills, enthusiasm, and a keen interest in technology policies, government IT modernisation, and the customer experience field. What you will do Development, coordination, and implementation of a successful government relations engagement strategy, including engagement planning for senior leaders. Take ownership of Adobe's engagement with UK regulatory authorities on sensitive, active matters, working closely with Legal and senior collaborators and managing confidential communications. Advocate for policy changes that are good for our employees, customers, and business generally. Handle resources to accomplish the goals of the organisation including outside consultants and trade associations. Work autonomously and engage with senior leadership to drive impact. Ensure Adobe is well positioned and follows all relevant regulations and requirements. Develop and advocate for exter

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for talented systems developers and researchers to join the Snowflake AI Research team and advance the state of the art in LLM inference systems and optimization . Our mission is to build the next generation of high-performance and intelligent inference systems . We optimize not only how fast and efficiently models run, but also how quickly inference systems can adapt to new models, architectures, hardware, and workloads. Our work spans the full inference stack—from distributed serving and runtime systems to GPU kernels and model-system co-design. We explore techniques such as adaptive parallelism, speculative and parallel decoding, disaggregated inference, scheduling and batching, KV-cache optimization, model swapping, quantization, and GPU kernel optimization to push the frontier of latency, throughput, scalability, and cost. Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and adapting system configurations with minimal manual tuning. We embrace AI-native engineering , using AI not only as the workload we optimize, but also as a tool to accelerate system deve

Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop Robot software and infrastructure to advance the common performant operating system that powers several devices on our vehicle including Autonomy systems. This team develops platform-level software and services, including operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including application software engineering, release management, hardware engineering, manufacturing and operations—to support vehicle development and deployment at scale. If you are excited to explore a wide problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain end-to-end continuous integration and validation toolchains for the operating system platform that powers various on-bot devices and applications on the Robotaxi Architect and implement platform-level software to support robust and scalable robot software infrastructure Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications: 8+ years delivering production systems and software applications Designed and deployed end-to-end continuous integration and validation toolchains to verify Linux/OS images for production software releases supporting different hardware platforms Proficiency in Linux internals, including init systems, containerization,

Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop Robot software and infrastructure to advance the common performant operating system that powers several devices on our vehicle including Autonomy systems. This team develops platform-level software and services, including operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including application software engineering, release management, hardware engineering, manufacturing and operations—to support vehicle development and deployment at scale. If you are excited to explore a wide problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain end-to-end continuous integration and validation toolchains for the operating system platform that powers various on-bot devices and applications on the Robotaxi Architect and implement platform-level software to support robust and scalable robot software infrastructure Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications: 4+ years delivering production systems and software applications Designed and deployed end-to-end continuous integration and validation toolchains to verify Linux/OS images for production software releases supporting different hardware platforms Profici

Zoox's Robot Software Infrastructure team is seeking a passionate software engineer to help develop and advance the common performant operating system that powers several devices on our vehicle including Autonomy systems. This team develops platform-level software and services, including operating systems that enable complex, hardware-accelerated workloads critical for autonomous driving on automotive-grade hardware. We work closely with cross-functional teams—including developers, release management, hardware engineering, manufacturing and operations—to support vehicle development and deployment at scale. You'll have the opportunity to influence the next generation of our platform, hardware, and robotaxi. If you are excited to explore a broad problem space and are mindful of how components fit within a larger system, you may be a great fit! In this role, you will: Design, develop, and maintain the operating system platform that powers various on-bot devices and applications Architect and implement platform-level software to support robust and scalable robotics infrastructure Configure and manage embedded Linux build systems (e.g., Yocto) and bootloader processes (e.g., U-Boot) to ensure reliable system startup and maintenance Develop and optimize device drivers and kernel-space components using C, C++, or Rust to meet performance and reliability requirements Collaborate cross-functionally to support seamless integration and delivery of the OS platform, triage issues, support new hardware bring-up and manufacturing functions Qualifications 8+ years delivering production systems and software applications, 2+ years of delivering custom Embedded Linux operating systems Have a deep understanding of Linux, build systems like Yocto, and bootloaders like U

About Team Category Management - BPC is one of the key business unit for the platform which is poised for tremendous growth and fashion democratization. We are looking for an Associate who will be a good fit to the team and instrumental in driving the growth of Beauty & Personal Care. Roles & Responsibilities Increase sales and profitability of business to drive sustainable growth Manage relationships with brand partners and establish Myntra as the preferred destination for customers as well as brand partners. Scaling the brands on the platform with continuous work across selection, catalogue, marketing etc. Identify white spaces in the portfolio and onboard/develop potential brands to fill the gap Manage On App Category visibility planning Analyze data and reports from various sources, Responsible for creating and maintaining, consolidating various reports Operational excellence - Candidate should have prior experience or enough knowledge to manage day to day operational issues effectively related to cataloging, pricing, merchandising and discount monitoring. Stay updated on industry trends and market competitions in Beauty & Personal Care profile. Qualifications & Experience Candidate should have 2+ Years of experience Preferred from Fashion e-com or retail background Proficient in Advance Excel Excellent communication, presentation and interpersonal skills Hands on experience with analyzing data and making forecasts. Analytical and critical thinker Takes complete end-to-end ownership of the task

The Global Clinical Supply (GCS) Automation Solutions Specialist will leverage qualified automation platforms to design and maintain forms, templates, and workflows across a broad range of projects that advance the business digital transformation goals. For this position, candidates will need to be well versed in workflow digitization/automation tools and techniques, familiar with the Microsoft suite of applications, operate independently, be a creative problem solver, and have a willingness to continuously learn in order to successfully deliver optimal solutions across a diverse and dynamic portfolio. This role requires providing support across other global time zones based on business need, specifically from 8:00 p.m. to 5:00 a.m Philippine Time or 9:00 p.m. to 6:00 a.m. Philippine Time (equivalent to 8:00 a.m. to 5:00 p.m. U. S. Eastern Time). Role Responsibilities Perform implementation and maintenance of Document Automation, and Workflow Business Enablement solutions Implement GCS SharePoint Sites and SharePoint based workflows using PowerApps / Power Automate Work with business Subject Matter Experts (SMEs) and Business Analysts (BAs) to ensure requirements are well defined and understood In partnership with Digital, support all aspects of the system change control process (prioritization of new functionality, definition of user requirements, User Acceptance Testing, System Development Lifecycle document reviews, etc) Create visually engaging presentation and training materials, process flows and guidance documents that enhance business use of technology Provide ongoing business support to business users Monitor utilization of core digitization solutions and regularly report usage metrics Identify opportunities for continuous improvement and lead or participate on projects that enhance GCS systems and processes Provide innovative insights

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in post-training and autonomous agents while remaining deeply engaged in the technical direction of the work. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will provide technical leadership to a team of researchers and research engineers, mentor and develop highly technical talent, shape research direction, and collaborate with Datadog’s product and engineering teams to translate research advances into products. This role is designed for an exceptional researcher or technical leader who wants to maintain a strong hands-on research identity while developing and leading a high-performing team. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead research in agent post-training and reinforcement learning, setting the technical direction for ambitious research programs grounded in observability and security Guide and mentor researchers and research engineers while remaining closely involved in research strategy, experimentation, model development, and technical problem-solving Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences su

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Datacenter Technologist, you will turn new platform architectures into repeatable operating models for Graphcore's AI data centers. You will lead the technical definition of how Graphcore introduces, deploys, services, and sustains new compute, networking, storage, memory, power, and cooling technologies at scale. Working within Advanced Architecture, you will connect platform design with data center engineering and site reliability operations. You will define new-product-introduction workflows, readiness criteria, diagnostics, and cross-functional handoffs so that new systems can move from architecture through deployment with clear ownership, supportability, and operational feedback. What You Will Do Own the technical operating model and new-product-introduction framework for new hardware and infrastructure technologies entering Graphcore data centers. Define end-to-end workflows for installation, configuration, validation, deployment, service, repair, upgrade, and sustained operation across the product lifecycle. Translate architecture requirements into data center readiness criteria covering software, firmware, compute, networking, storage, memory, rack integration, power, cooling, space, and site operations. Create clear runbooks, interface definitions, ownership models, acceptance criteria, and escalation paths that align architecture, engineering, data center, and site r

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference. Working within Advanced Architecture, you will address storage requirements for saving model states, offloading key-value caches, large datasets, and high-speed data-loading pipelines. You will combine hands-on performance engineering with Principal-level technical leadership across hardware, software, networking, systems engineering, automation, supply chain, and external technology partners. What You Will Do Define the end-to-end architecture and technology roadmap for local, disaggregated, and distributed storage across Graphcore AI server and data center platforms. Design storage topologies that optimize PCIe lane allocation, network-domain placement, and data paths among CPUs, AI accelerators, memory, and storage systems. Lead the architecture of storage control-plane and data-plane solutions, evaluating commercial and open technologies against performance, resilience, manageability, and lifecycle requirements. Profile and tune the Linux storage stack, block layer, I/O schedulers, direct I/O paths, file systems, and drivers to imp

MKTQ427R54 Location: San Francisco Bay Area Databricks is looking for a Customer Marketing Manager to turn the experiences of our largest strategic customers into compelling stories and advocacy programs that advance Databricks’ business priorities. This role owns customer marketing programs from strategy through execution, delivering trusted customer experiences and measurable impact across content, events, and advocacy. The impact you will have: Create stories tied to key priorities. Identify and develop customer stories that support Databricks priorities, translating technical use cases into compelling narratives with clear business outcomes. Increase the influence of customer stories demonstrated through usage across events, campaigns, and field programs Build with strategic customers. Build relationships with customers and account teams to uncover opportunities for case studies, videos, speaking engagements, and other advocacy activities with our most strategic customers in the Americas. Expand strategic customer advocacy in the Americas, resulting in a stronger and more consistent pipeline of approved case studies, videos, speaking engagements, and other advocacy assets. Deliver a great customer experience. Improve the customer participation experience, reflected in strong completion rates, positive feedback, and repeat engagement from participating customers. Own programs end-to-end. Deliver programs on schedule, within approved resources, and with clear stakeholder and customer approval milestones from strategy through launch. Bring customer stories to life at key events. Increase the reach and effectiveness of customer storytelling at key events through activations that drive attendee engagement and reinforce Databricks’ business priorities. Build and automate with AI. Improve the speed, quality, and scale of story development by deploying AI-powered tools and workflows that reduce manual effort and surface actionable customer insights. Build repeatab

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in post-training and autonomous agents as a hands-on individual contributor. You will advance reinforcement learning, simulated environments, synthetic data generation, and evaluation methods for agents operating across complex real-world systems. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in agent post-training and reinforcement learning, shaping the technical direction of ambitious research programs grounded in observability and security Own research problems end to end, from framing the question through experimentation, model development, and evaluation Design and advance reinforcement learning approaches, post-training methods, and training loops for agents operating in complex environments Build simulated environments, synthetic data generation approaches, and evaluation frameworks that enable scalable agent training and rigorous measurement Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate advances in autonomous agents into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as reinforcement learning, AI agents, post-training, or generative modeling You have driven technically ambitious research at meaningful scale as

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products. What You'll Do: Drive research in foundation models, world models, and multimodal learning, shaping the technical direction of ambitious research programs grounded in observability Own research problems end to end, from framing the question through experimentation, model development, and evaluation Train large-scale multimodal models on diverse telemetry data, including metrics, logs, traces, topology, events, and other non-text modalities Advance approaches to pre-training, representation learning, world modeling, scaling, and evaluation for models that learn the dynamics of complex distributed systems Raise the technical bar across the team by reviewing research directions, mentoring researchers and research engineers, and setting standards for experimental rigor Collaborate with cross-functional teams across Research, Product, and Engineering to translate research advances into scalable Datadog capabilities Contribute to research publications, present at top-tier conferences such as NeurIPS, ICLR, and ICML, and help open-source key model artifacts and benchmarks Who You Are: You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling You have driven technically ambitious research at meanin