Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Controller is the critical link between Nuro Driver's upstream autonomy stack and physical vehicle platform — translating planned trajectories into safe, precise, real-world motions. As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that powers L4 autonomous driving across an expanding operational design domain, from parking lots to highways, in all weather and road conditions. You'll work alongside world-class engineers across autonomy, hardware, and systems to solve problems that don't have textbook answers and see your work running on real vehicles globally. About the Work Develop robust, reliable and optimized production-level control software following safety standards (ISO 26262). Develop seamless interactions between planner and controller and advanced control strategies for expanded ODD including parking lot maneuvers through highway driving under various weather condi
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About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key role in building the next generation AI cloud platform – a highly available, global, blazing-fast cloud infrastructure that virtualizes cutting-edge ML hardware (GB200s/GB300s, BlueField DPUs) and enables state-of-the-art ML practitioners with self-serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning) and our external cloud customers, spanning dozens of data centers across the world. Some of what you’ll work on: Work on a distributed GPU scheduling system for the on-demand clusters product, Instant Clusters. Build out a global management plane for managing our data center compute, networking, and storage. Design and build new customer-facing cloud platform services, delivering killer enterprise AI cloud features. Responsibilities Identify, design, and develop foundational backend services that power Together’s cloud platform Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance Participate in an on-call rotation to address critical incidents when necessary Requirements 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excel
P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Senior Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product. The impact you will have: Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance. Design and run the cross-
Job Details: Job Description: About the Role Join Intel's Client Computing and Physical AI Group and help enable the next generation of mobile and desktop client platforms. We are seeking a Senior Customer Solutions Engineer to serve as a key technical leader responsible for customer platform enablement, architecture collaboration, and execution across Intel's client platform ecosystem. In this role, you will work closely with OEM customers, engineering teams, and program stakeholders to drive the successful delivery of innovative platform technologies. You will play a critical role in platform planning, issue resolution, customer engagement, and cross-functional execution from product definition through product launch and production. What You’ll Do Key responsibilities will include but not limited to: Serve as the primary technical interface between customers and Intel engineering teams, driving platform enablement and customer success. Lead cross-functional execution across platform technologies including hardware, firmware, graphics, connectivity, and I/O technologies. Drive resolution of critical platform issues, customer escalations, and technical challenges throughout the product lifecycle. Represent customer readiness, platform health, and execution status in program reviews and leadership forums. Develop technical assessments, customer enablement plans, and supporting documentation to accelerate design wins and product launches. Drive technical program execution across customer and engineering teams by aligning milestones, dependencies, risks, priorities, and deliverables. Behavioral traits that we are looking for: Strong customer focus and the ability to build trusted partners
Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder , an ambitious, source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team. What you'll be doing: As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community. What we need to see: We are look
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. We are now looking for a Senior High-Speed IO (HSIO) Validation Engineer! What you will be doing: Own HSIO (PCIe/NVLink) validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production. Coordinate with internal and external logic design, circuit design, board design, Simulation, diagnostics, firmware, driver, and marketing teams in different time zones, to ensure our products HSIO subsystem is specification compliant and tuned for optimal workload performance, and to drive the system into production. Assist in the bring-up of new hardware and solving tough system and board level issues with a focus on HSIO at a system level. Participate in reviewing board schematics, PCB layouts, and making design and component suggestions. Ensure interoperability with connected devices and system components in sophisticated interconnect topologies. Solve complex hardware and software HSIO issues at the system level on GPU accelerated computing platforms. Provide engineering support for manufacturing in both NPI and MP stages of production. What We Need to See: Ability to work on site in hardwar
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Center Network Engineering (DNE) is a pod within the Physical Networking team and owns the design, deployment, and operation of Roblox's large-scale data center network. This includes server-layer connectivity, intra and inter-DC connectivity. The team is building High-Performance Networking (HPN) fabrics, deploying 400G/800G networking, and scaling GPU clusters to support AI training and inference. You will: Drive the design, deployment, and operations of Roblox's large-scale data center network, including the networking for GPU clusters that support training and inference workloads. Design, qualify, and validate new technologies and hardware for scalable solutions. Coordinate data center builds and projects with multiple teams, including weekly cross-team calls. Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early. Contribute to automation and telemetry that improve efficiency, reliability, and visibility. You have: 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS). Experience with GPU clusters or AI/ML networking. Proficiency deploying and managin
About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role As Senior Manufacturing Engineer, Composites, you'll be Mach's go-to expert on designing composite structures for high-rate production. You'll review designs at the part, assembly and system level from concept through production release. You'll also push the field forward through research and development (R&D) on new materials, hardware and processes. You'll design experiments, build test articles, partner with suppliers and move what works into production. Examples include snap-cure resins, net-shape automated preforming, and closed-loop process control that cut cycle time and scrap. Key Responsibilities Own the Composites DFMA guide Write, publish and maintain Mach's Composites DFMA guide for high-rate production: design rules for each high-rate process, with reasoning and data behind them preferred materials, processes and tooling approaches by part type and volume standard features and the tolerances each process can hold worked examples and review checklists Write design rules for LCM (RTM, HP-RTM, C-RTM, wet compression molding): preform design: drapability, fiber shear limits, binder, and fiber volume control gate, vent and flow-path design, checked with draping and mold-filling simulation wall thickness and transitions, radii,
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Center Network Engineering (DNE) is a pod within the Physical Networking team and owns the design, deployment, and operation of Roblox's large-scale data center network. This includes server-layer connectivity, intra and inter-DC connectivity. The team is building High-Performance Networking (HPN) fabrics, deploying 400G/800G networking, and scaling GPU clusters to support AI training and inference. You will: Drive the design, deployment, and operations of Roblox's large-scale data center network, including the networking for GPU clusters that support training and inference workloads. Design, qualify, and validate new technologies and hardware for scalable solutions. Coordinate data center builds and projects with multiple teams, including weekly cross-team calls. Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early. Contribute to automation and telemetry that improve efficiency, reliability, and visibility. You have: 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS). Experience with GPU clusters or AI/ML networking. Proficiency deploying and managin
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role The Device Platform team owns the backend between Verkada's cloud and the hardware we ship — device provisioning, OTA firmware rollout, and the licensing layer that turns devices into a business. Verkada already operates at millions of devices, and we're scaling the platform for the next order of magnitude — with the consistency, latency, and uptime guarantees our enterprise customers depend on. Hitting that scale isn't just a technical problem. We're creating the IoT core that every product team across Verkada relies on to accelerate their roadmaps. We do as much cross-team alignment as deep systems design, and hold a high bar on both execution and communication with our peers. We're five senior engineers today, with a new-grad joining us this summer — and we're hiring more as the platform's reach across Verkada grows. We're high-t
Job Details: Job Description: We are seeking an experienced Senior CPU Debug Engineer to join our dynamic team. As a Senior CPU Debug Engineer, you will play a critical role in the development of our Core CPU, collaborating closely with our Architecture and Design teams, and providing top-notch customer debug support. Our goal is to ensure that Intel CPU Cores are of highest quality and performance, allowing our customers to build the best platforms in the market. Key Responsibilities: Logic Debug: Lead and actively participate in the logical debugging of our Core CPU designs. Analyze and resolve complex logic issues that may arise during the validation process as well in customer field. Collaboration: Partner with Architecture and Design teams to ensure CPU implementation aligns with architectural intent, while driving DFD and DFX methodologies. Customer Support: Act as a technical point of contact for customers, addressing their queries, issues, and debugging requests. Provide timely and effective solutions to customer problems, maintaining strong relationships. Debugging Tools: Develop and maintain debugging tools and methodologies to facilitate efficient CPU debugging. Stay up-to-date with the latest industry standards and tools to enhance debugging capabilities and innovate game changer DFD Continuous Improvement: Continuously identify opportunities for improvement in the CPU debug process,techniques, and tools. Implement process enhancements to increase efficiency and reduce debugging time. Collaborate with Hardware, Software, and Validation teams worldwide to ensure seamless CPU integration and system functionality. Qualifications: Bachelor's or Master's degree in Elect
Job Description: Senior Generalist Engineer About Us Implicit Conversions specializes in the high-level emulation of classic and retro games, enabling gamers to experience their favorite classics on modern consoles. With a dedication to preserving gaming history, we combine cutting-edge technology and a passion for gaming to revive cherished games from publisher’s back catalogs. Our portfolio includes games from the Mortal Kombat: Legacy Kollection, Rayman 30th Anniversary Edition, Fear Effect 1 and 2, Fighting Force Collection, Milano’s Oddjob Collection, Geppy-X and over a hundred more! Summary We’re looking for a creative and skilled Sr. Generalist Engineer to join our team and help bring classic games to life on modern hardware. In this role, you’ll design, build, and refine emulators that make older titles run smoothly and accurately on today’s platforms. You will also write tools to support the team workflows. You will also reverse engineer classic games (often with bespoke custom engines) to implement modern quality-of-life enhancements. You’ll collaborate closely with engineers, producers, and QA to fine-tune performance, ensure compatibility, and deliver a great player experience. Your work will play a key role in preserving and reintroducing classic games for a whole new generation of players. Responsibilities Own the complete lifecycle of our emulators and tools, including development, maintenance, and expansion. Maintain our CI/CD pipeline, install new tools, update machines, write and monitor scripts. Optimize games to ensure they are performant on target platforms. Own the end-to-end process for debugging platform compatibility issues. Drive the complete reverse engineering process for games—from patching bugs and replacing media to adding achievements/trophies and modern enhancements. Influence the team’s best
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, US Applications will be accepted until November 01, 2026. Job Title: Senior Oracle Security and AI Engineer About the Role This Senior Oracle Security and AI Engineer is primarily responsible for the Oracle Fusion security architecture, role design governance, oversight of the Risk Management Cloud service and AI initiatives. The Engineer serves as a hands-on expert for the technical administration, environment management, a
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Site Reliability Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Engineering in the Production Engineering and Reliability team in India. You will own the reliability and operational integrity of a global fleet spanning GCP, AWS, and bare-metal infrastructure — building self-healing automation, hardening provisioning workflows, and embedding observability into every layer of the platform. What you’ll do (Role Expectations) Develop production-grade automation in Ansible, Go for bare-metal provisioning, IPMI/Redfish-based hardware lifecycle operations, and autonomous remediation Design and implement fault-tolerant provisioning systems with self-healing and auto-remediation capabilities Develop telemetry pipelines for hardware and system monitoring — integrating metrics, logs, and distributed tracing (Pro
About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better About the Role As a Hardware Engineer, Electronics Packaging & Vehicle Integration, you will lead the mechanical architecture, design, and delivery of electromechanical systems for DoorDash’s next-generation autonomous delivery vehicle. You will develop robust packaging solutions for compute, electrical, communications, and sensor-related hardware that operate reliably in demanding real-world fleet environments. This role sits at the intersection of mechanical engineering, vehicle integration, and product reliability. You will partner closely with electrical engineering, PCB design, industrial design, systems engineering, manufacturing, supplier partners, reliability, and operations teams to turn system requirements into durable, manufacturable, serviceable, and cost-effective product designs. You will own designs from concept through launch, including electronic enclosures, housings, mounting systems, seals, connector interfaces, and vehicle-level integration features. Success in this role requires strong mechanical design judgment, practical experience with production processes, and the ability to resolve cross-functional packaging tradeoffs. Responsibilities: Own the mechanical design and release of electronic packaging, housings, enclosures, and vehicle integration solutions in support of program timing and product launch. Design components
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