Infrastructure Network And Supply Engineer Jobs

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Developer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing: As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure,

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company. What you will be doing: Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency. Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$. Develop and enhance architecture prototype models for power and noise analysis. Participate in performance and power simulation of features to analyze, define, and improve energy per byte. Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations. Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems. Collaborate with outside partners on system infrastructure. What we want to see: 10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system. Bachelor

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a SoC Design Engineer, you will be part of the Heterogeneous Integration Group (HIG), contributing to the design, development, and integration of next‑generation HBM SoC logic die. You will work closely with architecture, verification, physical design, firmware, and product teams to implement robust, high‑performance SoC solutions that meet ambitious power, performance, area, and schedule targets. You will also work to enable and integrate AI-driven tools and AI-enabled workflows into the team's methodologies. Key Responsibilities Design and implement RTL for SoC‑level blocks and subsystems used in HBM logic die. Integrate internal and third‑party IP (e.g., controllers, microcontrollers, NOC, RAS, MBIST, interfaces, adapters, buffers, PHY‑adjacent logic). Collaborate with SoC architects to translate architectural and micro‑architectural specifications into high‑quality RTL implementations. Participate in SoC‑level integration activities, including clocking, reset, power intent, and configuration infrastructure. Assist with pre‑silicon validation and post‑silicon bring‑up, including root‑cause analysis of silicon issues. Contribute to design documentation, block specifications, and design reviews. Collaborate multi-functionally with Product Engineering, Test, Probe, Process Integration, and Manufacturing to ensure robust and manufacturable builds. Minimum Qualifications Bachelor’s or master’s degree in electrical engineering, Computer Engin

Ready to help developers and researchers get more from open AI models? At NVIDIA, our team improves support for leading community models such as Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager for Open Models, you will help coordinate model enablement, developer experiences, technical content, and product launches across NVIDIA’s accelerated computing platform. You will work alongside experienced product managers, engineers, model builders, and product marketing teams. This role is ideal for someone early in their product-management career who has a strong technical foundation, enjoys working across teams, and is excited about the open-model ecosystem. What you’ll be doing: Support collaboration with community model builders around model access, technical enablement, launch readiness, and go-to-market activities. Track emerging open-model releases and summarize their capabilities, technical differentiators, hardware requirements, and ecosystem impact. Maintain product requirements, launch plans, readiness checklists, and supporting documentation for assigned models. Partner with engineering, infrastructure, and developer-experience teams to support open models across inference, fine-tuning, evaluation, and deployment. Gather feedback from model builders and developers, identify recurring issues, and translate findings into actionable product requirements. Review and test developer workflows, sample applications, notebooks, and Python code used in demonstrations and technical content. Collaborate with product marketing on blogs, documentation, presentations, case studies, and social-media content. Support product announcements, demonstrations, keynote materials, and other high-visibility launches while working onsite at least three days per week. What we need to see: 2+ years of relevant experience in product ma

Become a part of our caring community Every large organization is making critical decisions today about how it will leverage AI over the next decade. Few have leaders who can both define that vision and demonstrate its viability through hands-on engineering. This role requires both. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations to source documents, and route difficult cases to human experts. These capabilities support decisions that impact real healthcare outcomes for members. As a Principal AI Applied Engineer, you will define the technical strategy, architectural standards, and long-term vision for AI-enabled products across the organization. You will influence enterprise-wide decisions regarding AI platforms, model strategies, engineering standards, and technology investments while remaining deeply hands-on in prototyping, experimentation, architecture, and software development. This is the highest-level individual contributor role within the AI Applied Engineering organization. Success requires exceptional technical depth, organizational influence, strategic thinking, and the ability to translate emerging AI capabilities into scalable, reliable, and responsible production systems. Why Join Us Shape the long-term AI architecture and engineering direction for a large enterprise healthcare organization. Influence how AI-enabled products are designed, built, evaluated, deployed, and governed across multiple teams. Drive strategic decisions involving models, vendors, platforms, infrastructure, and shared capabilities. Prototype and validate emerging technologies before the organization invests at scale.</

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a Driver to oversee delivery and material transport operations supporting data center construction and operations in Memphis, TN. In this role, you will be responsible for the safe, timely, and damage-free movement of high-value materials and equipment (including servers, networking gear, power systems, cooling infrastructure, and other critical components) between warehouses, vendor sites, and data center locations. You will combine hands-on driving and loading duties with route coordination and compliance oversight in a fast-paced, high-growth environment. RESPONSIBILITIES: Load, drive, and unload materials using commercial vehicles (tractors, trailers, vans, and flatbeds) while meeting all federal, state, and local transportation requirements Safely load and unload trucks at pickup and drop-off points, primarily using forklifts; ensure loads are properly secured for undamaged delivery Scan barcodes and transact material movements in the WMS/ERP to meet inventory and receiving requirements Take route direction from logistics leadership and communicate issues, delays, or exceptions promptly to supervisors and affected teams Maintain and review all

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood. Today it gives a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf. We're building toward the same platform powering the agents millions of customers interact with directly, in real time. These agents don't just answer questions — they're designed to take real action across carefully curated meta harnesses. This is agentic AI at real scale, in a regulated financial environment, and it will change how Robinhood works! As a Staff Machine Learning Engineer on the AI Platform & Agentic Apps team, you will design and build the harness that every agent at Robinhood runs on. A critical part of the role is making those agents trustworthy at scale: trajectory-level evals that measure how an agent reasons and acts, and action guardrails — permission models, approval gates, and sandboxing — built as platform primitives that other teams adopt. You'll be a technical anchor on a growing, high-caliber team, collaborating with product, infrastructure, and fellow ML engineers to take ambitious ideas from