Senior Model-Based Systems Architect

Reliable Robotics builds automated aviation systems aimed at making air transportation safer and more efficient. The team includes engineers from aerospace, robotics, and autonomous vehicle backgrounds, all working to advance aviation technology. Role overview The Senior Model-Based Systems Architect will design and develop the company’s internal digital engineering ecosystem. This role involves more than configuring existing tools: the architect will define the formal information schema that connects systems, software, and certification data throughout the organization. What you will do Design and implement a digital engineering framework to support automated aviation systems Create and maintain a unified information schema linking systems, software, and certification data Collaborate with engineering teams and internal tool developers to ensure integration and smooth data flow Establish a scalable, consistent single source of truth for engineering information Location This position is based in Mountain View, CA.

Role Overview Anduril Industries is hiring a Staff System Modeling Engineer for Warfighter Systems in Mountain View, California. This role centers on applying advanced modeling methods to improve military systems and support mission success. Work here shapes the effectiveness of defense solutions and has a direct impact on operational outcomes.

Logos Space is at the forefront of revolutionizing satellite communications with our Low Earth Orbit (LEO) satellite system, designed to meet the connectivity demands of commercial enterprises and government entities. We aim to bridge a crucial gap in the market by delivering robust, high-performance satellite-based connectivity solutions for our clientele around the globe. Our business customers will benefit from contracts that specify performance standards for broadband, which we will integrate into our system from the outset. Speed and reliability are the cornerstones of our infrastructure, ensuring seamless cloud and data center connectivity to fixed, maritime, and aerial terminals worldwide.Led by a team of seasoned engineers with extensive experience in networking and satellite technology, Logos Space is committed to innovation and excellence.Position Overview & ResponsibilitiesAs a member of the Networking team at Logos Space, you will play a pivotal role in ensuring the success of our network through the development of software-defined networking, performance monitoring, and other vital components of the ground segment. Your collaboration with other spacecraft design aspects—such as RF, power management, and more—will be essential. This network will uniquely provide services at Layer 2, 2.5, and 3, necessitating the development of methodologies to manage flows with enterprise-level assurance. Your work will evolve from conceptual frameworks to discrete event simulations at the message level, ultimately culminating in a digital twin of the deployed system.As an Algorithm and Network Simulation Engineer, you will be instrumental in designing, optimizing, and validating our pioneering hybrid space and terrestrial network. Your responsibilities will include creating intricate simulation models and algorithms to analyze performance metrics, assess emerging technologies, and enhance network behaviors within this complex ecosystem. This is a remarkable opportunity to spearhead core innovations within our network architecture.We're seeking engineers who thrive in dynamic environments and relish the challenge of transforming abstract design concepts into tangible hardware ready for testing and deployment. If you have a passion for solving complex problems, we want to hear from you!

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo focuses on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience from driving more than 100 million miles on public roads, complemented by simulations totaling tens of billions of miles across over 15 U.S. states, we are at the forefront of our industry.The Large Model Evaluation team plays a crucial role in advancing Waymo's AI ambition. As we leverage advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), our goal is to create cutting-edge AI systems that navigate the complexities of real-world driving scenarios. Our progress hinges on our ability to measure performance effectively. With robust evaluation being essential for deploying large models, the challenges we face are particularly intricate and safety-critical. We are seeking engineers with a quantitative mindset to explore and establish innovative methods for assessing the machine learning models utilized in the Waymo Driver.

At Google DeepMind, we celebrate a diverse array of experiences, knowledge, and perspectives, leveraging these strengths to create a remarkable impact in the field of artificial intelligence. We are dedicated to providing equal employment opportunities irrespective of sex, race, religion, belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, and any conditions related to pregnancy or breastfeeding, along with any other basis protected by law. If you require any accommodations due to a disability or other needs, please feel free to inform us.SnapshotJoin us at Google DeepMind, where we foster a unique work culture that encourages long-term visionary research. We are in search of a driven System on Chip (SoC) Architect to enhance our team and lead the development of pioneering silicon designs aimed at accelerating machine learning capabilities.About UsArtificial Intelligence stands as one of humanity's most transformative inventions. Our dedicated team at Google DeepMind comprises scientists, engineers, and machine learning specialists collaborating to push the boundaries of AI. We harness our technologies for public benefit and scientific exploration, working with partners to tackle essential challenges while prioritizing safety and ethical considerations.About YouWe are on the lookout for individuals who excel in navigating uncertainty and are eager to contribute to the advancement of silicon design and architecture. Your ability to devise innovative solutions and pivot when necessary is crucial in our dynamic environment.The RoleWe are searching for a talented and highly motivated SoC Architect to join our GenAI technical infrastructure research hardware team. In this pivotal role, you will define the overarching SoC architecture and chiplet strategy for our next-generation machine learning accelerators, drawing on your in-depth expertise in SoC design, chiplet integration, and hardware tailored for machine learning applications.

At Reliable Robotics, we are pioneering innovative safety-enhancing technologies for aviation that have the potential to save lives. Our automated aviation systems aim to create a future where air transportation is not only safer but also more convenient and transformative in how goods — and eventually people — are transported across the globe. Our dedicated team of engineers, with diverse expertise in aerospace, robotics, and self-driving vehicles, is committed to turning this vision into reality.As a Systems Architect, you will join our Systems team, reporting directly to the Systems & Safety Manager. This team is tasked with designing systems that underpin novel safety-critical functions, developing methodologies for emerging technologies, and ensuring compliance with federal regulations.You will work as part of a seasoned multi-disciplinary team, contributing to the enhancement of aircraft operational and functional capabilities. Your background in system design and development will empower our team to meet the rigorous demands of stakeholders and certification authorities. Collaboration will be key as you work alongside colleagues from various departments at Reliable Robotics to develop innovative systems crucial for unmanned aircraft operations.

About UsAt Aurora, we are dedicated to advancing self-driving technology that enhances safety, efficiency, and accessibility across transportation and logistics.Discover The Aurora Driver and join us in shaping the future of mobility.Become part of a team that thrives on solving intricate challenges, collaborating with like-minded professionals, and growing your expertise. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.We are on the lookout for a talented Staff Hardware Systems Architect to join our Hardware Architecture team. In this pivotal role, you will be instrumental in shaping the future of self-driving vehicle architectures while supporting cutting-edge systems deployed in the field. This is a unique opportunity that offers complete ownership—from the architectural design phase through validation and deployment—allowing you to tackle highly complex integration challenges across multiple disciplines.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. With over ten million rider-only trips powered by the Waymo Driver, we have accumulated extensive experience, having driven more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Waymo AI Foundations team is dedicated to creating machine learning solutions that tackle complex challenges in autonomous driving. Our goal is to ensure the safe operation of Waymo vehicles in various cities and under diverse driving conditions. We actively collaborate with other research teams within Alphabet, focusing on areas such as reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.This position follows a hybrid work schedule and reports directly to a Staff Research Scientist / Tech Lead Manager.

Join Waymo as a Principal Software Engineer, ML System Architect, where you'll leverage your expertise in machine learning to architect innovative software solutions. As a core member of our engineering team, you will be instrumental in shaping the future of autonomous driving technology.

Join Us: Shaping the Future of UI DevelopmentThis role transcends traditional engineering positions. As a visionary builder and a systems thinker, you are committed to advocating for quality and consistency. You recognize that an advanced design system is crucial for enhancing productivity, elevating user experience, and creating an environment where AI tools like Claude Code and Cursor can flourish.You will have the freedom and resources to develop our design system from its inception. Your contributions will empower our product teams to deliver higher-quality features more efficiently and will be instrumental in our strategy to utilize AI for seamless translations of design specifications into pixel-perfect, production-ready code.Your ResponsibilitiesDesign & Build: Create and maintain a scalable, robust, and accessible library of reusable front-end components using React and TypeScript.Establish a Design Token System: Implement and manage a comprehensive design token system (including colors, typography, spacing, etc.) to ensure uniformity across platforms (both web and mobile).Full-Stack Integration: Develop necessary backend APIs, services, and tools to support the design system, including asset pipelines, documentation servers, and version control.Govern & Promote: Produce clear documentation, contribution guidelines, and frameworks for decision-making. Be the primary champion for the design system, promoting its adoption across engineering, design, and product teams.AI Optimization: Structure component APIs, props, and documentation specifically for ease of use by AI code generation tools, defining the “language” our AI assistants will utilize.Tooling & Automation: Oversee the entire lifecycle of the design system's infrastructure, including our Storybook instance, automated testing, and CI/CD pipelines for component publishing and versioning.Collaborate & Lead: Work closely with senior leadership in Product Design and Engineering to outline the design system roadmap, ensuring alignment with company strategic objectives. Mentor fellow engineers in best practices for component design and systems thinking.

Waymo, the leader in autonomous driving technology, aims to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. With over ten million rider-only trips facilitated by our technology, which has autonomously navigated more than 100 million miles on public roads and countless simulations across more than 15 U.S. states, we are at the forefront of autonomous transportation.The Waymo Applied Research team is devoted to crafting machine learning solutions that tackle key challenges in autonomous driving, focusing on safely operating Waymo vehicles across diverse cities and under varying driving conditions. We thrive on collaboration, fostering partnerships with other research teams within Alphabet to push the boundaries of innovation.In this hybrid role, you will report to a Technical Lead Manager.

Join MatX in Pioneering AI Hardware MatX is at the forefront of designing cutting-edge hardware that accelerates the development of the world’s leading AI models. Our innovative hardware solutions promise to deliver a new level of intelligence 3-5 years ahead of traditional timelines. We are committed to crafting vertically integrated full-stack solutions that encompass everything from silicon to systems, including both hardware and software necessary for training and executing the largest AI models worldwide. We are on the lookout for a talented and seasoned System-on-Chip (SoC) Architect to spearhead the design of our next generation of AI-focused, server-class silicon.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access while aiming to reduce the tragic loss of lives due to traffic accidents. The Waymo Driver not only fuels our fully autonomous ride-hailing service but is also adaptable across various vehicle platforms and applications. With over ten million trips solely for riders and extensive experience from autonomously navigating over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, we are leading the charge in this transformative technology.The Large Model Evaluation team plays a pivotal role in advancing Waymo's AI vision. As we integrate cutting-edge Large Language Models (LLMs) and Vision-Language Models (VLMs), our aim is to construct sophisticated AI systems capable of addressing the multifaceted challenges of real-world driving. Central to our achievements is the ability to accurately measure our progress. In a landscape where robust evaluation serves as a critical barrier to deploying large models, the intricacies of this task at Waymo are particularly complex and safety-sensitive. We seek quantitatively driven engineers to innovate and propose novel methodologies for evaluating the ML models utilized in the Waymo Driver.

Waymo is at the forefront of autonomous driving technology with a vision to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—which aims to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. To date, the Waymo Driver has successfully conducted over ten million rider-only trips, leveraging its experience from over 100 million miles driven on public roads and billions of miles in simulation across more than 15 U.S. states.We are in search of passionate and skilled engineers to join our team and spearhead the post-training process for large language models (LLMs) in the realm of autonomous driving. You will collaborate with an exceptional team of researchers and engineers to innovate and elevate the next generation of advanced AI models.

Waymo is at the forefront of autonomous driving technology, striving to be the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives that are lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated into various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience gained from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 states, we are leading the way in transforming transportation.The Waymo Applied Research team is committed to pioneering machine learning solutions that tackle significant challenges in autonomous driving, with the ultimate aim of safely operating Waymo vehicles across numerous cities and diverse driving conditions. Our team actively initiates and nurtures collaborations with other research teams within Alphabet to drive innovation.In this hybrid role, you will report directly to a Technical Lead Manager.

Reliable Robotics develops automated aviation systems to improve safety and accessibility in air transportation. The team includes engineers from aerospace, robotics, and autonomous vehicle backgrounds, all working to advance aviation technology and make air travel more dependable. Role overview The Senior Guidance, Navigation, and Control (GNC) Modeling Engineer focuses on creating and improving physics-based models that underpin both rapid design changes and certification-level validation of GNC software. This role plays a key part in ensuring the accuracy and reliability of automated flight systems. What you will do Develop and refine physics-based models to support GNC software Run simulation analyses to test and validate GNC algorithms Compare simulation outputs with real-world data to verify model accuracy Contribute to iterative design and certification processes with high-fidelity modeling Location This position is located in Mountain View, CA.

Reliable Robotics develops automated aviation systems aimed at making air transportation safer and more efficient. The team combines experience in aerospace, robotics, and autonomous vehicles to advance how people and goods travel. Role overview The Senior Production Systems Engineer joins the Production team in Mountain View, CA. This group delivers high-quality products and services, supporting the company’s mission to move automated aviation systems from concept to production. The position provides technical leadership and shapes strategy for production capabilities, business systems, and factory infrastructure. What you will do Design and manage production systems that support manufacturing processes, quality standards, and regulatory compliance. Plan, develop, and lead the rollout of new features and modules in partnership with SaaS vendors and internal teams. Conduct trade studies to inform decisions about business systems and infrastructure. Set up, automate, and monitor key performance indicators (KPIs) to drive improvements in design, product, and process. Key focus areas Oversee integration and performance of Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP), and Material Requirements Planning (MRP) tools. Lead enhancements using AI, develop and refine production processes, and install factory infrastructure such as printers and inspection equipment. Create real-time analytics tools to support operations in a safety-critical environment.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to advancing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility and save lives that are often lost to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable across various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has driven autonomously for more than 100 million miles on public roads, supported by tens of billions of miles in simulation across 15+ U.S. states.Our Compute Team plays a pivotal role in delivering the compute platform that runs the software stack of fully autonomous vehicles. We specialize in designing high-performance custom silicon, developing cutting-edge system-level compute architectures that maximize performance, power efficiency, and minimize latency. Our multidisciplinary team thrives on collaboration, working closely with various engineering teams to ensure both hardware and software are optimized for peak performance. We are looking for passionate and talented individuals to join us in developing one of the highest-performing automotive compute platforms in the world.In this hybrid role, you will report to a Hardware Engineering Manager.

Waymo, an innovator in autonomous driving technology, aims to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility while preventing countless lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service, applicable to various vehicle platforms and product use cases. With over ten million rider-only trips under its belt, the Waymo Driver has autonomously navigated more than 100 million miles on public roads and engaged in extensive simulation across 15+ U.S. states.The Waymo Onboard Infrastructure team is responsible for the low-level software and infrastructure supporting various components of the Waymo self-driving system. Our work encompasses everything from low-level system software to high-bandwidth data logging, inter-process communication (IPC), performance analysis, and comprehensive system debugging. Collaborating closely with Hardware, Compute, Sensor, Perception, Behavior, and Machine Learning teams, we strive to build the most efficient and low-latency self-driving solution in the industry.As a member of the System Software Team, you will concentrate on the Telematics unit—the essential Linux-based gateway that manages all data flow in and out of the autonomous vehicle. This role involves critical functions such as real-time diagnostics, over-the-air (OTA) software updates, and high-bandwidth telemetry. You will play a pivotal role in developing, securing, and maintaining the connectivity infrastructure that drives the continuous operation and improvement of Waymo's fleet.In this role, your responsibilities will include:System Software Development: Collaborate with a dedicated team of System Software and Linux Kernel Engineers to design, develop, and deploy production-grade system software components for driverless vehicles, from initial prototyping through to launch.Linux OS Ownership: Manage and enhance the operating system of the Telematics unit, which includes the Linux kernel, device drivers, and core OS services.Networking & Connectivity: Develop and implement robust, high-performance networking solutions that ensure reliable data transfer over Wi-Fi and cellular modems.Infrastructure & Testing: Create and apply a comprehensive testing methodology and infrastructure to verify the reliability and security of low-level software while facilitating seamless updates across the fleet. Utilize automated testing of hardware to validate low-level hardware-software systems.Cross-Functional Problem Solving: Effectively collaborate with hardware partners (SoC vendors, ODMs) and internal engineering teams to address complex, cross-disciplinary system challenges.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has established the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has driven more than 100 million miles on public roads and tens of billions in simulations across over 15 U.S. states.The Perception team is responsible for developing systems that learn the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles (AVs). We collaborate closely with downstream teams to optimize and integrate our work into the Waymo Driver, conduct research to solve real-world challenges, and work alongside research teams at Alphabet. With access to millions of miles of diverse driving data from various sensors, we empower engineers like you to (1) create methods for efficient continuous learning from extensive real-world data, (2) develop scalable models and training methodologies, (3) analyze real-world behaviors to create systems that can navigate complexities, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.