Full-Stack Engineer at Creatify | Mountain View, CA

Join the Creatify Team!At Creatify, we are pioneering the first all-in-one AI advertising platform designed to automate the video ad lifecycle—from scripting and AI-generated avatars to testing, optimization, and publication across major platforms like Meta, TikTok, and YouTube.In just over a year and a half, we have achieved over $10 million in annual recur…

Waymo is pioneering the future of autonomous driving technology with a vision to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and save countless lives lost in traffic accidents. Powering Waymo’s fully autonomous ride-hailing platform, the Waymo Driver is adaptable across various vehicle types and applications. With over ten million rider-only trips achieved and a remarkable track record of driving more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, Waymo is at the forefront of transforming transportation.The Driver Understanding and Evaluation team at Waymo is crucial in developing an in-depth understanding of the Waymo Driver's behavior. With an impressive capacity of over one million driverless miles each week, it is essential for Waymo to comprehend and evaluate all vehicle behaviors—both in real-world scenarios and simulations—through automated algorithms. The learned metrics team is a strategic initiative employing machine learning to scale and meet Waymo's ambitious goals. We work collaboratively across various teams to transition machine learning into production systems and establish Waymo’s reward function. Our focus is on building and maintaining large-scale machine learning and data systems, simulation workflows, and analytical tools. By merging expert human insights with cutting-edge machine learning models, we provide training and evaluation data for the Waymo driver. We seek enthusiastic researchers and software engineers who are passionate about creating robust production-grade machine learning systems for our autonomous vehicles and possess an unwavering commitment to enhancing our technology stack's performance.

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, Waymo has committed to developing the Waymo Driver—The World's Most Experienced Driver™—which not only enhances mobility access but also aims to save lives lost in traffic accidents. 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 more than 100 million miles driven autonomously on public roads, plus extensive simulation across 15+ U.S. states, Waymo is setting the standard for safety and innovation in transportation.In this hybrid role, you will report to the Sr. Staff Manager.

Join Us in Shaping the Future of Home RoboticsAt Sunday, we are on a mission to revolutionize household tasks through the development of personal robots, allowing families to reclaim precious time lost to mundane chores. Our vision is to create versatile robots that can easily integrate into everyday life, making them accessible to households everywhere.After 18 months of assembling a skilled team, securing funding, and validating our technology, we are seeking enthusiastic individuals who are eager to contribute to the next chapter of our journey. If you are passionate about robotics and ready to make a significant impact, we want to hear from you!What You Will ExperienceIn our endeavor to design home robots, we are addressing a monumental challenge: achieving dexterous and safe mobile manipulation in unpredictable environments. Our work spans the entire robotics stack, encompassing the training of cutting-edge AI models that utilize our extensive, high-quality real-world data collection system. Moreover, we are innovating a new category of consumer hardware that will be introduced into homes, delivering substantial value to our users. As an early member of a compact, cross-functional team, your contributions will be pivotal in advancing our technology and product, pushing the boundaries of embodied AI, and ultimately helping countless customers enjoy more of their cherished moments.As a Full Stack Robotics Software Engineer, your role will involve the complete software delivery for Sunday’s robots and their supporting systems. This dynamic position entails close collaboration with engineers across our machine learning, controls, and hardware teams to develop essential components of our software stack for both research and product development. Even if you lack prior experience in the robotics industry, your exceptional software development skills, unyielding drive, and curiosity, along with your comfort in testing code on electromechanical systems, may make you an ideal candidate.Your ResponsibilitiesQuickly produce clean, maintainable code to enhance robot capabilities and interactions.Create new software systems for evaluating, monitoring, and logging robot performance.Diagnose and troubleshoot complex system-level issues on actual hardware.Assist in the integration, bring-up, and calibration of new sensors, actuators, and other instrumentation.Develop software tools to facilitate large-scale testing of real robot hardware.Rapidly acclimate to new engineering tasks, collaborating with teams to expedite progress.

Company OverviewAt Matic Robotics, we are dedicated to transforming the way households manage chores through innovative home robotics. Our flagship product, Matic, is an advanced floor cleaning robot that embodies the concept of 'full self-driving' technology within the home, featuring real-time 3D mapping, adaptive path-tracking, and an intricate semantic understanding of living spaces. Utilizing cutting-edge spatial AI, Matic operates effectively in real-world environments, relying solely on RGB cameras and on-device neural networks.Privacy FirstWe prioritize the privacy of our users, ensuring that all data processing occurs locally on the robot, safeguarding household information from cloud vulnerabilities.Our ApproachJust as the iPhone revolutionized personal technology by consolidating multiple devices into one, we envision a similar evolution in home robotics. Our journey begins with single-purpose robots, progressively enhancing their capabilities to meet complex household needs.Our CultureAt Matic, we cultivate a collaborative and driven team environment, united in our mission to create innovative solutions that save our customers time and energy. Our team is comprised of dedicated individuals passionate about tackling challenging problems.About the RoleWe are seeking a Senior Embedded Linux Engineer to join our Platform team at Matic, where you will have the opportunity to make a significant impact from the outset. In this role, you will tackle a wide range of challenges, from low-level driver and kernel development to integrating complex perception algorithms that run locally on our robots, all while maintaining high performance with limited computational resources.We are looking for candidates with strong expertise in embedded Linux and C/C++, who are also enthusiastic about learning Rust. If you thrive in an environment of accountability and enjoy solving intricate problems, we would love to hear from you! You can learn more about our approach to Rust in our blog: Why Rust: It’s the Safe ChoiceWhat You Will DoDevelop essential device systems software and functionalities from the ground up.Support mechanical engineering and other teams by creating a resilient software stack that interacts effectively with firmware, motors, sensors, and other software agents.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has made significant strides in developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service, while also being adaptable to various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, alongside tens of billions of miles simulated across 15+ U.S. states, our mission is clear.As a Senior Technical Program Manager, you will play a vital role in executing Waymo’s roadmap through strategic cross-functional planning and effective risk management. In an environment characterized by complex technical and operational challenges, you will foster meaningful discussions and drive outcomes. Collaborating closely with every department at Waymo, you will structure, lead, and propel initiatives toward the real-world deployment of the Waymo Driver across various platforms and regions.This position follows a hybrid work model, and you will report to the Manager of Technical Program Management.

Waymo is seeking a highly skilled Senior Research Scientist to join our innovative team focused on sensor simulation. In this role, you will be responsible for developing cutting-edge simulation technologies that enhance our autonomous vehicle systems.Your expertise will contribute to improving the accuracy and efficiency of our simulations, playing a crucial role in the advancement of self-driving technology. You will collaborate with cross-functional teams to drive innovation and ensure our systems are at the forefront of the industry.

Join Range Energy as a Full Stack Software Engineer At Range Energy, we are pioneering the electrification of heavy-duty trucking with our innovative powered trailers, transforming the way fleets operate without the need for major tractor replacements. Our mission is to address real-world challenges through tangible hardware solutions. We thrive in a fast-paced environment, valuing ownership and high standards of execution. Our team members are characterized by their low ego, collaborative spirit, and ability to remain calm under pressure, emphasizing direct and respectful communication. We believe in solution-oriented approaches over drama. Operating with integrity is at the core of our values; we deliver on our commitments, maintain transparency regarding risks and trade-offs, and cultivate trust through reliable follow-through. Your role will be hands-on, often messy, frequently fast-paced, but always impactful. You will contribute directly to our electrification platform by developing robust user-facing applications and backend systems that empower fleet operators. Range Energy was founded in 2021 by seasoned professionals from industry leaders like Tesla, Zoox, and Honda. We are supported by reputable investors and dedicated to creating practical hardware solutions that fleets will adopt. If you are passionate about building tangible products, tackling challenging problems, and collaborating with driven teammates, you will find a home here.

Join Waymo as a Front-End Software Engineer specializing in simulation technologies. In this dynamic role, you will work at the forefront of autonomous driving innovation, developing robust user interfaces that enhance simulation experiences. You will collaborate with a passionate team of engineers and researchers, contributing to a project that is transforming the future of transportation.

About CyngnLocated in the heart of Mountain View, CA, Cyngn, Inc. is a pioneering autonomous technology firm that specializes in deploying self-driving industrial vehicles, such as forklifts and tuggers, across manufacturing and warehousing facilities throughout North America. To advance this cutting-edge technology, we are seeking dynamic, innovative, and experienced leaders to join our team and drive the industry forward. If you are passionate about building, experimenting, and collaborating with a team of dedicated professionals, Cyngn is the ideal workplace for you. Key reasons to consider joining us:A Unique Blend of Startup and Corporate Culture.With a team of less than 100 employees, Cyngn embodies the spirit of a startup while benefiting from the stability of being publicly traded. Our team members enjoy working in close-knit groups with guidance from seasoned leaders while having access to the liquidity that comes with our publicly traded equity.Impactful Work from Day One.Our autonomous vehicles are not just theoretical models; they are actively deployed and making a difference for real clients today. Your contributions will yield visible, meaningful results.A Collaborative and Inclusive Environment.At Cyngn, we pride ourselves on being a diverse team of intelligent, compassionate individuals. Our culture thrives on collaboration, trust, and shared perspectives, which are essential to our innovative spirit.About This Role:Cyngn is developing a cloud platform that empowers our customers to monitor, manage, and optimize fleets of autonomous industrial vehicles in real-time. As a Full Stack Software Engineer (Mid-Senior), you will be responsible for delivering features from end to end, engaging with Python backend services to TypeScript/JavaScript frontends within a small, impactful team. You will work closely with Staff and Principal Engineers, taking ownership of significant components of the product.If you are enthusiastic about software that intersects with real-time systems, physical AI, digital twins, and customer-facing products, we would love to hear from you.

At Waymo, we are pioneers in autonomous driving technology, dedicated to becoming the world's most trusted driver. Since our inception as the Google Self-Driving Car Project in 2009, we have been committed to advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver drives our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and experience from over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states, we are at the forefront of this technological revolution.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments for the rigorous testing and training of the Waymo Driver. Our diverse and collaborative team consists of software engineers, machine learning (ML) engineers, and data scientists, all focused on developing industry-leading simulation solutions utilizing advanced ML algorithms that assess and enhance the Waymo Driver’s performance. We model the real world in detail, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, weather conditions, and a comprehensive sensor suite featuring cameras, LiDAR, and radars.In this hybrid role, you will report to a Senior Engineering Manager.Your Responsibilities:Design and develop robust C++ software systems and infrastructure for our realistic world generation platform, ensuring seamless integration with downstream Waymo applications.Collaborate closely with simulation, onboard, and system engineers, as well as data scientists to drive critical milestones for Waymo.Monitor, enhance, and ensure the performance, scalability, testing, and reliability of our platform.Engage with fellow engineers to architect the long-term vision of the system.

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, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a diverse array of vehicle platforms and applications. With over ten million rider-only trips and experience from more than 100 million miles driven autonomously on public roads, Waymo is shaping the future of transportation.Our simulation environment is among the most sophisticated ever created, utilizing deterministic logic, physical dynamics, and cutting-edge Generative AI to establish a training ground for the Waymo Driver. The Simulator Evaluation team tackles the challenging question: How can we mathematically validate that a virtual world is perceptibly 'real'?We are on the lookout for a Staff Software Engineer who will take on the role of Technical Architect in this field. You will operate at the intersection of software engineering and AI, ensuring our simulated environments—whether governed by explicit rules or foundational models—accurately reflect reality.In this Staff-level position, you will report directly to a Senior Staff Software Engineering Manager and function as a Technical Lead, connecting intricate technical metrics with overarching product strategies.Your Responsibilities Will Include:Architecting Evaluation Standards: Define the 'Definition of Done' for simulation realism, anticipating product objectives (e.g., operational capabilities in snow or highway driving) and designing the evaluation roadmap to ensure our simulation fidelity evolves in alignment with onboard requirements.Acting as the System Critic: Create comprehensive mathematical frameworks to validate our hybrid virtual world, determining the balance between diverse evaluation needs—from verifying logical rules and dynamics to assessing the distribution quality of generative AI models.Building at Scale: Lead the development of large-scale, extensible evaluation platforms (in C++/Python), ensuring our metric pipelines are robust distributed systems capable of delivering clear, reproducible insights on petabytes of data.Providing Strategic, Cross-Functional Leadership: Serve as the technical liaison across various organizations, closely collaborating with AI research and other simulation teams. The evaluation workflows you design will facilitate rapid innovation and inform research trajectories.

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 Waymo as a Staff Software Engineer specializing in Simulation Capacity Optimization. In this pivotal role, you will leverage your expertise in software engineering and simulation technology to enhance our autonomous vehicle systems. Your contributions will be vital in optimizing the performance and efficiency of our simulations, ensuring that our vehicles are equipped to navigate the complexities of real-world environments.

Waymo is pioneering the future of autonomous driving technology with a commitment to becoming the most trusted driver worldwide. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—with the goal of enhancing mobility access and saving countless lives currently 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 applications. Having completed over ten million rider-only trips and autonomously navigated more than 100 million miles on public roads, our technology has undergone extensive testing, including tens of billions of miles in simulations across more than 15 U.S. states.The Simulator Team at Waymo specializes in creating cutting-edge simulations of realistic environments designed for the rigorous testing and training of the Waymo Driver. Our diverse and collaborative team comprises software engineers, machine learning (ML) engineers, and data scientists, all united in our mission to develop industry-leading simulation solutions utilizing advanced ML algorithms to measure and enhance the Waymo Driver's performance. By leveraging machine learning, we meticulously model real-world scenarios, including realistic agents such as vehicles, pedestrians, cyclists, motorcyclists, roads, traffic control systems, and varying weather conditions.To enhance the fidelity and steerability of our simulations, we integrate the latest ML technologies, including large foundation models trained on our exclusive datasets and advanced diffusion techniques. Our investment in robust infrastructure facilitates the swift setup and deployment of multiple scenarios for comprehensive testing of our autonomous driving systems.In this hybrid role, you will report to a Senior Engineering Manager.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—aiming to enhance mobility access while significantly reducing road traffic fatalities. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips and the experience of driving autonomously over 100 million miles on public roads, coupled with tens of billions of miles in simulation across more than 15 U.S. states, we are redefining transportation.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments to rigorously test and train the Waymo Driver. Our diverse and collaborative team comprises software engineers, machine learning engineers, and data scientists dedicated to developing industry-leading simulation solutions using advanced machine learning algorithms to elevate the Waymo Driver’s performance. By harnessing the power of machine learning, we replicate real-world scenarios, including vehicles, pedestrians, cyclists, traffic control systems, and weather conditions.To enhance the fidelity and steerability of our simulations, we utilize the latest machine learning technologies, such as large foundational World Models trained on our datasets, world understanding and reasoning capabilities for edge cases, and reinforcement learning for long-term credit assignment. We also invest in robust infrastructure that allows us to rapidly set up and deploy multiple counterfactual scenarios for thorough testing of our autonomous driving systems.In this hybrid role, you will report to a Senior Staff Tech Lead Manager.

Join us as a Senior Software Engineer on the Core Platform team at Moveworks, where you will significantly contribute to the advancement of our conversational AI platform. In this role, you will have the chance to develop enterprise products that tackle real-world challenges using our cutting-edge machine learning technology. Your responsibilities will include creating foundational frameworks and services that abstract product needs, providing scalable and reliable components, and establishing an enterprise data platform tailored for diverse product requirements.Design and implement highly reliable, performant, and secure platform components.Shape the platform team's roadmap while taking ownership of the evolution of multiple platform areas.Collaborate with cross-functional engineering teams to deliver integrated solutions.Consistently meet deadlines on projects that are interdependent with other engineering efforts.Challenge existing processes and drive continuous improvement within the platform.Participate regularly in peer code reviews and engineering design discussions.

Join our dynamic team at 360itprofessionals1 as a Full Stack Developer specializing in AngularJS and NodeJS. You will play a crucial role in developing innovative web applications, ensuring high performance and responsiveness to requests from the front-end.We are looking for a passionate developer who thrives in a collaborative environment and is eager to tackle challenging projects. If you have a knack for coding and a desire to make a significant impact, we want to hear from you!

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

Waymo is at the forefront of autonomous driving technology with a commitment to becoming the most trusted driver in the world. 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 and save thousands of lives lost in traffic accidents. The Waymo Driver has been instrumental in powering Waymo’s fully autonomous ride-hailing service, accruing over ten million rider-only trips, and has autonomously navigated more than 100 million miles on public roads alongside tens of billions of miles in simulation across 15+ states in the U.S.We are launching an innovative team known as SCORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team will play a crucial role in optimizing the utilization of Waymo’s extensive simulation compute, storage, and network resources. SCORPIO will focus on creating data-driven models, metrics, and processes for demand forecasting, capacity planning, and resource allocation optimization, thereby enhancing developer experiences and maximizing infrastructure investment returns.