Infrastructure Network And Supply Engineer Jobs

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 As a Software Engineer on the Model Lifecycle and Signals team at SpaceXAI, you'll own the bridge between frontier models and every user facingCursor product, used at a scale few teams ever see. You'll decide when we use which model, spot where models go off track and build the guardrails to keep them on it, and shape what the next generation of models should learn. This role sits at the intersection of infrastructure, data, and product. You'll bring models from preview to production, dig into real-world data to find out what's actually working, and partner with research, inference, product, and data science teams to turn that evidence into better products and better models. Every improvement you make compounds across our products and every model we ship. What you'll work on Get new frontier models into users' hands the day they're ready, and retire old ones without anyone noticing. Evaluate internal and external preview models before launch and give meaningful feedback to the teams building them. Build Cursor Router : decide which model handles each request, balancing quality, speed, and cost at massive scale. Build the eyes and ears of the product, and the exper

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners

We are looking for a Sr. ASIC Design Engineer! NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have developed an outstanding team stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. What you'll be doing: You will document, implement, and deliver fully verified, high performance, area and power efficient RTL to achieve the design targets and specifications. Your responsibilities will include architecture and micro-architecture design, RTL design and synthesis, and logic and timing verification using pioneering CAD tools and semiconductor process technologies. In addition to the design role, you will participate in the verification of the design using sophisticated verification methodologies. You are expected to help define the verification scope and support the development of verification infrastructure. You will collaborate with several ASIC development teams and will need to communicate and coordinate with members of those teams, some of whom are in remote locations. What we need to see: A Bachelors or Masters Degree (or equivalent experience) 5+ years of relevant / meaningful work experience Proven hardware engineering background with a concentration in VLSI and Computer Architecture Expertise in Verilog, System Verilog or similar HDL. Proficient programming in Perl/Python

We are looking for a Principal Architect for SoC and System performance modelling. The NVIDIA Architecture Modeling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our SoC and Systems architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip & system architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of SoC & Systems algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at NVIDIA and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features and code coverage analysis and reporting Mentor early engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change What we need to see: Bachelor's Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 15+ years of relevant work experience or MS with 12+ years of experience or PhD with 7+ years of experience Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows. What you’ll be doing: Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains. Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions. Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge. What we need to see: BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a relate

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality. What you'll be doing: As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks What we need to see: Bachelors Degree in EE, CS or CE or equivalent experience 2+ years of relevant experience Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, GDB) Experience crafting test bench environments for unit and system level verification Strong background in System Verilog or similar HVL Expertise with C/C++ programmin

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. 1. Strategic Program Leadership Lead the integrated Facilities and Construction roadmap in alignment with site business objectives, manufacturing ramp requirements, operational priorities and future expansion plans. Translate strategic priorities into clear programs, governance forums, milestones, owners and measurable outcomes. 2. Multi-Project Portfolio Coordination Provide streamlined coordination for multiple projects running concurrently. Maintain a coordinated master view of achievements, resource needs, interfaces, constraints, and dependencies. Resolve conflicts across projects and ensure that individual teams work toward common site-level outcomes. 3. Construction and Expansion Delivery Lead the delivery of greenfield, brownfield and expansion programs from planning and development through procurement, construction, commissioning, handover and closeout. Ensure effective project controls for Phase 1A completion, Phase 1B/1C, PWF, Building 2, power infrastructure and other approved expansion scopes. 4. Facilities Stabilization and Preparedness for Operation Drive Phase 1 Facilities Operations stabilization through structured planning, system-wi

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 Summary – Technical Program Manager, Smart Manufacturing AI Pathfinding & Innovation (AIPI) We are seeking a highly strategic and technically fluent Technical Program Manager (TPM) to join our Smart Manufacturing AI Pathfinding & Innovation (AIPI) team. In this role, you will sit at the absolute forefront of technological discovery, guiding initiatives from speculative research concepts into functional proofs-of-concept (PoCs). This team focuses explicitly on exploring unproven AI architectures, next-generation large language models (LLMs), speculative multimodal systems, and emerging agentic frameworks. As an AIPI TPM, you will thrive in deep ambiguity. You aren't just tracking timelines; you are structuring the discovery process itself. You will bridge the gap between research, machine learning engineers, infrastructure teams, and executive leaders to systematically de-risk and validate the future of our AI technical roadmap. This role requires a strong technical foundation and hands-on experience in managing complex AI/ML and data-driven projects. You will collaborate with cross-functional teams including data scientists, engineers, SMEs, and senior leadership to define functional objectives, translate them into actionable plans, and ensure seamless execution. <span style="co

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Senior Data Engineer Role Overview The Databricks Platform Engineer is the technical owner of our Databricks Lakehouse platform — the shared foundation on which enterprise data products, analytics, reporting and AI/ML workloads are built. This is a hands-on individual-contributor role responsible for the reliability, scalability, security, automation, governance and cost efficiency of the Databricks platform. The successful candidate will have production experience operating Databricks as an enterprise platform, not just building on it. They will work AI-natively and set that standard for the team. You will own the Data Platforms domain within a cross-skilled Data & Analytics Platforms engineering team. You will establish platform engineering standards, design and build infrastructure automation, create reusable reference architectures and engineering patterns, and ensure the platform can be operated reliably at enterprise scale. You will also mentor engineers and help build platform engineering capability within the India team. Key Responsibilities Platform ownership Own workspace- and accoun

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Project Manager - Specific to Confidential Project in Boyers, PA - Onsite 4-5 Days/Week What this job involves: Lead the end-to-end delivery of the program’s most complex, highest-value, and highest-profile mission-critical and data-center infrastructure projects. This is a project-level leadership role for the largest and most technically demanding engagements — projects where the technical scope, financial exposure, schedule risk, and client profile demand the deepest level of experience and commercial command. The Senior Project Manager owns performance across cost, schedule, scope, procurement, and client outcomes for their assigned projects, directs PMs, APMs and Project Coordinators supporting those projects, and operates as the primary point of accountability to the client and internal leadership on every engagement they carry. Your day-to-day tasks will include: Lead full project delivery on the program’s most complex and highest-value engagements, owning all performance outcomes across cost, schedule, scope, weekly OAC meetings, quality, and client satisfaction. Coordinate and direct the work of APMs and Pro

NVIDIA is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5&#43; years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analy

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years, fueled by incredible technology and amazing people. Today, we're using the power of AI to define the next era of computing, with our GPU acting as the brains of computers, robots, and self-driving cars. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. NVIDIA is hiring a Staff Engineer to build the company's Enterprise Data Governance platform. This platform spans sensitive-information protection, governed data access across every collaboration and content system at NVIDIA, and the knowledge infrastructure that makes our enterprise AI trustworthy and accurate. What makes this role genuinely hard is the tension at its core: AI agents need broad, deep access to enterprise knowledge to be useful, while export controls, legal constraints, and security policy demand precise, auditable access control. Getting both right, across dozens of systems and one of the most complex enterprise environments in the industry, is the problem this team is solving. We are looking for technically strong engineers across the senior to principal level who thrive on hard infrastructure problems and want to own work that is central to how NVIDIA operates at scale. What You Will Be Doing: Sensitive Information Protection Own the roadmap for sensitive-information detection and remediation, working with Finance, Legal, and Security to define classification models, remediation workflows, and reporting that leadership can trust. Evaluate and integrate ML-based classification approaches to detect sensitive content across unstructured data at scale, and iterate on precision and recall as the data landscape evolves. Governed Dat

We are now looking for a Senior Architect for GPUs and SoCs: The NVIDIA Architecture Modelling group is looking for architects and software developers to join our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields, delivering the highest performance in the world for high-performance computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. In this position, you will be working with other world-class architects on modeling, analysis and validation of chip architectures and features that advance the state of art in performance and efficiency. What you'll be doing: Modeling and analysis of graphics and / or SOC algorithms and features Work in a matrixed environment, across the different modelling teams, to document, design, develop tools to analyze and simulate, validate, and verify models Familiarize with the different models (functional and performance) that are used at Nvidia and help with feature implementation as required. Develop tests, test plans, and testing infrastructure for new architectures/features. Code coverage analysis and reporting Mentor younger engineers and help sustain good coding practices. Learn about newer modelling techniques and frameworks, evaluate the best solution for our needs and work with your manager to drive the change Help develop AI based tools to increase efficiency. What we need to see: Bachelors Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) 8&#43; years of relevant work experience or MS with 5&#43; years of experience or PhD with 2&#43; years of experience Strong programming ability: C&#43;&#43;, C along with a good understanding of build systems (CMAKE, make), toolchains (GC

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role We are looking for a skilled Cloud Platform Engineer to join our Runway team. In this role, you will help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You will play a key role in advancing our Kubernetes-based platform, maturing our GitOps practices, and driving infrastructure-as-code adoption across the business. This is a hands-on technical role suited to someone who thrives at the intersection of infrastructure, automation, and developer experience. What you'll do Kubernetes Platform Management — Operate, maintain, and improve produ

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This is an Android role on Reddit’s Design System Team. The mission of the Design System Team is to deliver a cohesive, modern and accessible experience across all of Reddit’s platforms. As an Android engineer on the Design System Team, you will help evolve Reddit’s cross-platform design system and UI architecture that powers experiences across the company. You will build reusable components, improve platform capabilities, and help establish frontend patterns that enable product teams to ship high-quality experiences efficiently. This role has broad scope and impact, helping shape the future of frontend development at Reddit. What You’ll Do : Evolve Reddit’s cross-platform design system by expanding its capabilities and developing higher-level reusable components that accelerate product development while maintaining consistency and quality. Collaborate cross-functionally with product teams, designers, and engineers to ensure the design system and UI infrastructure effectively support real product needs. Improve performance at scale , contributing to Android architecture, rendering patterns, and performance-focused development practices that make performance a built-in feature of the platform. Advance accessibility across the platform , building accessible components, patterns, tooling, and documentation that help teams adopt accessibility best practices by default. Strengthen developer experience , contributing to shared tooling, documentation, and platform improvements that help engineers build reliable, consiste