Senior Full-Stack Engineer for Simulation Platform

Who We AreGatik is at the forefront of transforming autonomous middle-mile logistics, offering innovative transportation-as-a-service (ATaaS) solutions to enhance the B2B supply chain. We prioritize safety, reliability, and efficiency, ensuring seamless deliveries while alleviating congestion in freight movement. Our groundbreaking partnership with Walmart i…

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, we have concentrated on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless lives lost to traffic incidents. With over ten million rider-only trips completed and having driven autonomously over 100 million miles on public roads as well as tens of billions in simulations across more than 15 U.S. states, the Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications.The Simulator Team at Waymo is dedicated to constructing sophisticated simulations of realistic environments for the testing and training of the Waymo Driver. You will be a part of a diverse and collaborative group of machine learning (ML) engineers, software engineers, and data scientists. Our goal is to deliver industry-leading simulation solutions by utilizing advanced ML algorithms to assess and enhance the Waymo Driver's performance. We achieve this by accurately modeling the real world, which includes realistic agents (such as vehicles, pedestrians, cyclists, and motorcyclists), roadways, traffic control systems, and weather conditions, complemented by a comprehensive sensor suite including cameras, LiDAR, and radars.To amplify the fidelity, scalability, and controllability of our simulations, we leverage cutting-edge ML technologies, including large language models, foundational world models, and reconstructive methods trained on extensive datasets, alongside traditional rendering techniques.In this hybrid role, you will report directly to a Senior Staff Engineering Manager.

Staff Full Stack Engineer - Integrations Platform Location: Mountain View, CA About Us At CloudKitchens and Otter, we are redefining the culinary landscape by creating the ultimate "Operating System" for the food industry. Our Integrations Platform Team plays a crucial role in uniting restaurants with the diverse array of delivery apps (such as UberEats and DoorDash) and Point of Sale systems (like Toast and Square). We recognize that a robust backend is ineffective if it isn’t user-friendly. Therefore, we are seeking a talented Staff Full Stack Engineer to lead the Merchant Onboarding & Connection Experience. In this role, you will develop intuitive interfaces and orchestration layers that empower non-technical restaurant owners to securely connect, configure, and monitor their essential business tools independently. Your Role You will serve as a vital link between our intricate backend synchronization engines and our customer base. Your task will be to design a "Self-Serve" architecture that streamlines the integration of third-party services. Design the Connection Wizard: Create and implement comprehensive full-stack workflows that assist merchants in navigating complex authentication processes (OAuth2, API Keys, Credential Vaults) across numerous platforms. Develop Connection Health Observability: Construct user-centric dashboards that make the invisible visible. You will build real-time interfaces that elucidate why a menu synchronization failed or whether their POS is operational, translating complex backend error logs into easily understandable status indicators. Simplify Configuration Management: Develop dynamic, data-driven interfaces that automatically cater to the specific configuration needs of each new integration partner, eliminating the necessity for frontend code modifications for every vendor. Lead the Self-Serve Initiative: Transition the company from a manual, support-ticket-driven onboarding process to a fully automated, product-led experience. Technical Challenges You Will Overcome Resumable Workflow State: Menu publishing on a delivery platform is not a straightforward process; it requires validating numerous items, uploading images, and obtaining partner acknowledgment. You will need to architect a user interface that allows users to initiate a significant update, encounter a validation error, close their browser, and later return to rectify that specific error and resume the process.

About CyngnLocated in Mountain View, CA, Cyngn Inc. is an innovative publicly-traded company at the forefront of autonomous technology. We specialize in deploying self-driving industrial vehicles, including forklifts and tuggers, across factories, warehouses, and various facilities in North America. As we advance this groundbreaking technology, we seek dynamic, experienced leaders to join our mission. If you enjoy building, experimenting, and collaborating with a team of dedicated and passionate individuals, Cyngn is the perfect fit for you. Reasons to consider joining us:A Unique Blend of Small and Large Company Dynamics.With a team of fewer than 100 employees, Cyngn embodies the spirited energy of a startup while offering the stability of a publicly traded entity. Our employees benefit from close-knit teamwork and mentorship from leaders, combined with the liquidity benefits of our publicly-traded stock.Build and Deploy Real Solutions.Our autonomous vehicles are not mere concepts; they are actively in use by real clients today. This means that your contributions will lead to immediate, visible impacts in the industry.A Human-Centric Workspace.We foster an inclusive and diverse team of intelligent and compassionate individuals. Our culture emphasizes collaboration and trust, where every team member's perspective is valued and drives our innovation forward.About the Role:As a Senior Full Stack Software Engineer at Cyngn, you will be pivotal in developing our cutting-edge fleet management system for autonomous vehicles. You will be instrumental in creating a scalable, high-performance SaaS platform that facilitates real-time monitoring and control of our autonomous fleet. Your versatile skill set will empower you to navigate seamlessly between backend and frontend development tasks, ensuring the delivery of an integrated and efficient system that enhances our customers' automated workflows and boosts operational efficiency.

At Reliable Robotics, we are pioneering innovative safety technologies for the aviation industry that have the potential to save lives. Our vision is to create automated aviation systems that will revolutionize air transportation, making it safer, more accessible, and fundamentally transformative in the movement of goods and people across the globe. Our dedicated team consists of mission-focused engineers with diverse expertise in aerospace, robotics, and autonomous vehicles, working diligently to turn this vision into reality.As a Senior Simulation Software Engineer, you will be instrumental in developing and enhancing our simulation software stack. This includes ensuring optimal framework performance, modeling flight dynamics, emulating hardware, and establishing a robust simulation-based testing infrastructure.

Join Waymo as a Senior Software Engineer specializing in Simulation Infrastructure, where you will lead the development of innovative simulation tools and frameworks that enhance our self-driving technology. You will collaborate with cross-functional teams to design robust software solutions that drive our mission to make transportation safer and more accessible through autonomous driving.

Join Waymo as a Senior Back-End Software Engineer in our Simulation team, where you will play a vital role in building and enhancing our cutting-edge autonomous driving technologies. You will be responsible for designing and implementing robust back-end systems that support our simulation environments, helping to ensure the safety and efficiency of our self-driving vehicles.Your contributions will directly impact the future of transportation and make a difference in how people move through the world.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver is the driving force behind our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips completed, we have amassed experience driving autonomously over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.The Simulator Team at Waymo creates advanced simulations of realistic environments for testing and training the Waymo Driver. We leverage cutting-edge machine learning algorithms to assess and improve the Waymo Driver's performance. As our simulation platform evolves, this technical leadership position will oversee the strategy for the entire Simulator software stack, ensuring it scales with emerging simulation technologies and Waymo’s growth. Your responsibilities will encompass low-level optimization through to high-level configuration, all aimed at enhancing resource utilization (CPU/RAM/TPU/GPU). You will spearhead the Simulator Platform's efficiency initiatives and represent the team in broader performance-related projects within Waymo.In this hybrid role, you will report to a Director of Software Engineering.

Be a Part of Shaping the Future of Home RoboticsAt Sunday, we are at the forefront of developing innovative personal robots designed to liberate individuals from mundane tasks. Our mission is ambitious: to democratize access to versatile robots, allowing families to reclaim precious time for what truly matters.After 18 months of dedicated efforts in building a talented team, securing investment, and validating our technology, we are now on the lookout for passionate professionals to join us in this exciting growth phase. If you are eager to leverage your expertise in robotics innovation, we want to connect with you.Role OverviewData is the core of our operations. As a Full Stack Engineer specializing in Data Operations, you will contribute to enhancing our platform that manages the data pipeline. This includes tracking thousands of memory developers worldwide and creating high-fidelity tools for auditing, filtering, and qualifying hundreds of hours of data daily.Key ResponsibilitiesMemory Developer Systems: Collaborate with the Data Operations team to build an internal platform that oversees thousands of remote memory developers, ensuring a consistent and high-quality data stream through performance tracking and hardware health monitoring.The Audit Lab: Design and implement high-performance React interfaces for replaying and validating human motion data, enabling our team to curate top-tier datasets from numerous uploads.Data Ingestion & Orchestration: Architect robust backend services capable of processing large volumes of data, ensuring readiness for auditing.Startup Agility: While your primary focus will be on Data Operations, our dynamic environment may require you to adapt to shifting priorities and engage with various aspects of the tech stack as we expand.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver on the planet. Originally initiated as the Google Self-Driving Car Project in 2009, Waymo has relentlessly pursued the development of the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips and an impressive record of over 100 million miles driven autonomously on public roads, along with tens of billions of miles simulated across 15+ U.S. states, Waymo is leading the charge in safe and effective autonomous transportation.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments that are crucial for testing and training the Waymo Driver. Our team consists of a diverse group of software engineers, machine learning engineers, and data scientists, dedicated to developing industry-leading simulation solutions that assess and enhance the performance of the Waymo Driver. By accurately modeling the real world—including self-driving vehicle dynamics, realistic agents (vehicles, pedestrians, cyclists, motorcyclists), traffic systems, and environmental conditions—we ensure that our simulations reflect true driving scenarios. This capability is essential to our mission of creating the world's most experienced driver.The Vehicle and Automated Driving Realism team is focused on innovating tools and techniques that enhance driving realism, a core aspect of our simulation efforts. We are committed to ensuring that the data derived from our simulations accurately represents real-world driving performance, emphasizing performance, reliability, fidelity, and usability.In this role, you will report directly to a Senior Staff Engineering Manager.

About UsAt MAI (pronounced “my”), we are dedicated to democratizing advanced advertising technologies. Our belief is that state-of-the-art marketing tools, previously reserved for large corporations with substantial budgets, should be available to all businesses. Our innovative platform harnesses AI agents to automate and optimize performance marketing, enabling small to mid-sized enterprises to effectively scale their advertising expenditures without relying on agencies or dedicating countless hours to manual campaign management.Founded by industry veterans from Google and Instacart, we have successfully secured a $25 million Seed funding round led by Kleiner Perkins to propel our growth forward. This investment will be pivotal as we expand our product and engineering teams, realizing our vision of intelligent, autonomous marketing. Our AI agents have already showcased their effectiveness, helping clients achieve 40% more sales while managing millions in monthly Google Ads spend. We are witnessing a rapid increase in our client waitlist.Why Join Us NowIn a landscape where traditional software follows a conventional playbook, the development of infrastructure for autonomous, intelligent agents represents an uncharted territory—and we are pioneering this field.As a foundational Software Engineer at MAI, you will do more than just write code; you will design the entire ecosystem in which our AI agents operate, learn, and evolve. Your work will have a substantial impact across our entire technology stack, from the underlying data platforms that inform our agents, to the core frameworks that empower their reasoning abilities, to the scalable systems that deliver their insights to our clients. This is a unique opportunity to construct a genuinely AI-native product from scratch and tackle challenges at the forefront of the industry.You will be part of a focused team of fewer than ten engineers, allowing you to make a significant impact and help shape the future direction of our company. We are in the initial stages of forming three core teams:Product Engineering & InfrastructureAI Platform & FoundationAgent Application & QualityThis position offers a distinctive opportunity to broaden your skill set as these teams develop. We encourage you to leverage your areas of expertise while also exploring new projects, learning from your colleagues to become a more versatile engineer.

Join Our Innovative Team at CreatifyCreatify is pioneering the world's first comprehensive AI advertising platform, revolutionizing the video ad lifecycle from scripting and avatar-driven creation to testing, optimization, and distribution across leading platforms such as Meta, TikTok, and YouTube.In just over a year and a half, we've achieved more than $10 million in annual recurring revenue, catering to over 1.5 million users across 10,000 teams. Prestigious brands like Alibaba, HubSpot, Binance, NewsBreak, and Zumper leverage Creatify to rapidly create personalized, high-impact video ads.We've secured $24 million in funding from top-tier Silicon Valley investors including WndrCo, Kindred Ventures, and Comcast Ventures. Our work has been highlighted in major publications like Fast Company, TechCrunch, and Bloomberg TV, and we've been recognized as one of the IVP Enterprise AI 55 in 2024.Located in Mountain View, our dynamic team consists of dedicated AI researchers, engineers, and advertising experts. We invite you to be part of our mission to transform the advertising sector through artificial intelligence.

At MatX, we are committed to pioneering the compute platform for Artificial General Intelligence (AGI). Our team is engaged in creating comprehensive, vertically integrated full-stack solutions ranging from silicon to systems, incorporating both hardware and software to effectively train and execute the largest machine learning workloads necessary for AGI. Our primary programming language is Rust.Key Responsibilities:Design and sustain functional and performance models of our hardware systems.Create tools and infrastructure to enhance the efficiency of correlation, debugging, and testing processes.Collaborate closely with model stakeholders including architecture, verification/validation, compiler, and runtime teams.Engage in architectural decisions and participate in review processes.Explore and implement performance optimization strategies.

Waymo, a leader in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, thanks to our extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Hardware Engineering team at Waymo is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the essential components that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into various vehicle platforms. We’re on the lookout for inquisitive and skilled individuals to help propel us forward.This position operates under a hybrid work schedule and reports to the Systems Engineering Manager.

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 committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives lost in traffic accidents. Our technology powers a fully autonomous ride-hail service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving more than 100 million miles on public roads and tens of billions of simulation miles across 15+ U.S. states, we are at the forefront of this transformative journey.The Simulation ML Infrastructure team is focused on creating scalable AI/ML infrastructure that accelerates the Simulator team in developing state-of-the-art realistic simulations for testing and training the Waymo Driver. To enhance the realism and steerability of these simulations, we leverage large foundation models trained on vast datasets to accurately represent the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), road systems, traffic control measures, and environmental conditions.We are looking for a seasoned senior individual contributor to spearhead the advancement of sophisticated AI/ML infrastructure for multi-billion parameter foundation models within ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and large-scale distributed systems will be essential in designing and scaling our systems.This position reports to an Engineering Manager.Your Responsibilities:Join a top-tier, high-performing research engineering team to push the boundaries of ultra-realistic multi-agent simulations using foundation models.Collaborate closely with the Waymo Realism Modeling team located in London and the Waymo Oxford team to utilize large foundation models for enhancing simulation realism.Operate at the intersection of data engineering, model development, and simulations, making architectural decisions. Take ownership of large, complex systems, and ensure that architectures and designs align with both technical and business objectives.Design and scale extensive distributed systems that encompass the entire ML lifecycle, facilitating planet-scale dataset generation, model training, and evaluation.Work cross-functionally to derive performance and system-level requirements for large ML systems. Convert product and business goals into measurable technical deliverables, ensuring alignment of system components.

Be a Part of the Future of Home RoboticsAt sunday, we are pioneering the development of personal robots designed to liberate individuals from the burden of repetitive tasks. Our mission is to democratize access to generalized robotics, allowing families to reclaim precious time spent on mundane activities.After investing 18 months in assembling an exceptional team, securing investment, and validating our technology, we are on the lookout for passionate professionals eager to join us during this exciting phase of growth. If you are ready to channel your expertise into cutting-edge robotics innovation, we want to hear from you.Your RoleAs a Full Stack Engineer focused on ML Data & Evals, you will serve as the vital link between raw data and robotic intelligence. You’ll create the foundational infrastructure for our ML team to evaluate and deploy models effectively. Your contributions will expedite the research-to-production cycle, facilitating on-robot evaluations and visualizing model performance in intricate, real-world settings.Key ResponsibilitiesDesign Interactive Data Systems: Develop interfaces and engines that integrate robot and Skill Capture Gloves™ data, enabling efficient human-in-the-loop workflows, from episode annotation to seamless transitions between autonomous operation and manual teleoperation.Conduct Evaluations & Benchmarking: Create high-performance tools to compare model-driven motions with human-captured ground truths, aiding in the assessment of model advancements across various tasks.Data Processing & Orchestration: Design processing services that convert raw captures and sensor data into formats suitable for machine learning, ensuring a smooth transition from our global data collection systems to the models that power our robots.Adaptability in a Startup Environment: While your primary focus will be the ML Platform, our Full Stack Engineers should be versatile, readily adjusting to shifting priorities and contributing across different areas of the stack as we grow.

Who We Are Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are on a mission to construct the most scalable autonomous driver, merging advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, from robotaxis and commercial fleets to personal vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercially viable autonomous vehicles, fostering a future that is safer, more connected, and enriched. About the RoleSimulation plays a crucial role in the development of autonomous technology. Our Simulation team is tasked with creating a powerful simulator that underpins all simulations at Nuro, enabling us to confidently develop and test our self-driving technologies. The team tackles a variety of novel simulation challenges, employing innovative and creative approaches—ranging from synthesizing sensor data and automating scenario generation to optimizing performance and resources. Collaboration with various teams across the company allows us to broaden the horizons of what can be simulated. About the Work Enhance the functionality, performance, and user experience of our simulator. Develop inventive strategies to elevate simulation realism and coverage through synthesis. Design and implement solutions to streamline interactions among complex systems. Engage in diverse projects, from new greenfield initiatives to scaling existing systems. Work closely with autonomy engineers to deepen your understanding of autonomous systems and devise optimal solutions.

About Us Nuro is a pioneering self-driving technology firm focused on democratizing autonomy for everyone. Established in 2016, we are on a mission to create the world's most scalable autonomous driver. Our innovative approach blends advanced AI with automotive-grade hardware, allowing us to license our core technology, the Nuro Driver™, across diverse applications including robotaxis, commercial fleets, and personal vehicles. Our proven technology, tested through numerous self-driving deployments, provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, fostering a safer, more connected future. Position OverviewWe are excited to expand our robotics team and are seeking a talented Senior Software Engineer to join our Sensor Data and Calibration unit. The ideal candidate will possess a strong background in robotics and machine learning, with a focus on developing sophisticated synthetic sensor simulation models and algorithms. Experience in research, development, and application of machine learning techniques (such as NeRF or Gaussian splatting) for generating synthetic sensor data, including photorealistic images and realistic LiDAR or radar outputs, is essential. Key Responsibilities Research and create cutting-edge synthetic sensor simulation methodologies. Evaluate and characterize the realism and effectiveness of synthetic sensor data. Address essential inquiries regarding sensor data and autonomous performance. Collaborate with various teams across autonomy, infrastructure, and systems to define mapping requirements. Qualifications One of the following: PhD in machine learning, computer science, electrical engineering, robotics, or a related field, with 3+ years of industry experience. Master's degree with 4+ years of industry experience. 5+ years of industry experience. In-depth knowledge of machine learning fundamentals with practical experience in training and assessing contemporary ML models. Proficient in Python, with experience in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Preferred Qualifications Strong grasp of 3D geometry and state estimation principles. Experience in systems-level coding. Familiarity with simulating and modeling real sensors (camera, LiDAR, radar, IMU, etc.), including noise modeling. Expertise in modern ML graphics techniques, such as NeRF, Gaussian Splatting, and/or generative models.

Join our innovative team at maticrobots as a Full Stack Engineer, where you'll work on cutting-edge technologies to develop scalable web applications and enhance user experiences. Collaborate with cross-functional teams to design, implement, and maintain robust software solutions that meet dynamic business needs.

Who We AreGatik, a pioneer in autonomous middle-mile logistics, is transforming the B2B supply chain through its innovative autonomous transportation-as-a-service (ATaaS) solution. We prioritize reliable and safe deliveries while optimizing freight movements to alleviate congestion. Our focus is on short-haul, B2B logistics for Fortune 500 retailers, and in 2021, we introduced the world’s first fully driverless commercial transportation service in partnership with Walmart. Our Class 3-7 autonomous trucks are now operational in key markets, including Texas, Arkansas, and Ontario, Canada, driving the future of freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is engineered for safe and efficient freight transport between pick-up and drop-off locations on the middle mile. With advanced capabilities in both highway and urban settings, Gatik Carrier™ is an all-in-one solution that combines state-of-the-art software and hardware, seamlessly integrating into our customers' logistics operations.About the RoleWe are developing a high-scale, web-based simulation platform designed to validate autonomous systems. Our R&D team is producing AI/ML models, and we have a Senior Full-Stack Engineer working on the platform interface. We are looking for a Simulation Integration Engineer to serve as a vital technical bridge between these two teams. Your mission will be to ensure that the autonomy stack operates reliably within a virtual environment, creating complex testing scenarios and ROS2 infrastructure necessary for stress-testing our AI models.This is a 'Sim-to-Stack' orchestration role. While you won't be deploying to physical hardware, you will be responsible for ensuring the virtual world provides high-fidelity data to the autonomy stack and accurately reflects the model's performance.