Front-End Software Engineer, Simulation

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 transform…

Your Role As a key member of the Core Infrastructure team at Moveworks, you will play a pivotal role in designing and implementing the next evolution of our AI infrastructure. With Moveworks experiencing rapid growth, the infrastructure team is charged with creating and maintaining robust foundational services and frameworks that empower our products to scale effortlessly while enabling our engineering teams to rapidly develop customer-facing features. Collaborate closely with teams in machine learning, search, product development, data, and frontend engineering to assess infrastructure requirements, shape the infrastructure roadmap, and spearhead various projects. Design and develop core infrastructure and essential functionalities including distributed key-value stores, schema-less data storage, authentication and authorization mechanisms, event streaming, distributed configuration management, rate limiting, circuit breaking, feature flagging systems, A/B testing, and traffic capture and replay. Enhance the observability and reliability of Moveworks systems by improving distributed logging, tracing, monitoring, and alerting capabilities. Establish methodologies and metrics for assessing the performance of microservices and product functionalities, identify and resolve bottlenecks, and enhance the performance and scalability of Moveworks applications. Consistently deliver time-sensitive work that is interdependent with other engineering teams.

Waymo is an innovative leader in autonomous driving technology, 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 save lives lost in traffic accidents. Our Waymo Driver powers a fully autonomous ride-hail service, having completed over ten million rider-only trips, backed by vast experience driving over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.Within our Driver Understanding and Evaluation (DUE) team, we strive to develop comprehensive metrics for analyzing the Waymo Driver's behavior in real-world scenarios.In this hybrid role, you will report directly to a Software Engineering Manager.

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.

Join Nuro as a Senior Software Engineer specializing in Perception Data Infrastructure. In this pivotal role, you will be responsible for developing and optimizing systems that process perception data, enabling our autonomous vehicles to navigate safely and efficiently. You will collaborate with cross-functional teams to enhance our data infrastructure, ensuring reliability and scalability.

Moveworks is seeking a Senior Software Engineer focused on Core Infrastructure to help advance the platform that powers automated IT issue resolution. This position is based in Mountain View. Role overview This role centers on building and improving the foundational systems that support Moveworks’ automation platform. As part of the core infrastructure team, you will work closely with other engineers to design, develop, and maintain systems that scale reliably. What you will do Collaborate with engineering peers to shape the architecture of critical infrastructure components Implement solutions that support seamless automation and platform growth Contribute ideas and expertise to ongoing improvements in system performance and reliability Who we’re looking for Engineers who enjoy tackling complex infrastructure challenges Individuals motivated to deliver software that improves user experience and operational efficiency Those who thrive in a collaborative, evolving environment

About NewsBreakEstablished in 2015, NewsBreak is a pioneering Content Intelligence platform redefining the content economy. With a robust user base of over 40 million monthly active users, our flagship platform delivers tailored local news and information, powered by cutting-edge AI, recommendation systems, and advanced adtech.Acknowledged by Fast Company as #32 among the Top Workplaces for Innovators, we proudly hold Great Place to Work® certification and foster a vibrant team of technologists, product innovators, and business leaders dedicated to addressing significant challenges at scale.Achieving unicorn status in 2021, we remain steadfast in our commitment to high growth, seeking the ideal team to realize our mission: to establish the foundational infrastructure for content intelligence.If you’re driven to dream big, innovate rapidly, and make a meaningful impact, we want to hear from you! For more details, visit www.newsbreak.com/aboutAbout the Role:We are seeking a Machine Learning Infrastructure Engineer to join us in building the pivotal infrastructure that trains, serves, and monitors the models behind our Ads and Recommendations products. You will be part of a small, high-responsibility team that implements platform enhancements end-to-end—collaborating with product and data teams to minimize latency and costs while expediting the transition from concept to safely launched model.Your role will encompass the entire ML lifecycle: enhancing training efficiency and reliability, optimizing model serving performance, and fortifying our feature/embedding platform to ensure models remain current and consistent across offline and online applications. We are looking for someone who takes genuine ownership, completes tasks, and elevates the standards for stability and developer experience.Why This Role:Scope & Impact: Join a small team with a significant influence—your contributions will directly impact production.Ownership: Manage everything from design to rollout and post-launch insights; enjoy real autonomy with support.Growth: Gain visibility across the stack and a clear pathway to lead projects and mentor others.Pragmatic Culture: We prioritize outcomes over jargon, valuing clear thinking and follow-through.

About NuroNuro is at the forefront of self-driving technology, driven by our mission to make autonomous vehicles accessible to everyone. Established in 2016, we are developing the most scalable driver, integrating advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven technology in self-driving deployments, we provide automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Your RoleWe invite you to join our expanding Infrastructure team as a Senior Software Engineer specializing in Cloud Infrastructure. In this role, you will:Engage collaboratively across teams at Nuro to ensure alignment with customer needs.Design and implement high-quality, scalable solutions for infrastructure-as-code, application deployment, production system monitoring, health status tracking, and performance enhancements.Develop automation tools to enhance developer experience, infrastructure reliability, and security.

Role overview This Senior Software Engineer position at Aurora Innovation focuses on sensor infrastructure for autonomous vehicles in Mountain View, California. The role centers on building and improving sensor technologies to ensure they operate reliably in real-world scenarios. Daily work involves designing, implementing, and refining sensor systems that are critical to the performance of autonomous vehicles. What you will do Develop and optimize software to integrate sensors into autonomous vehicles Create solutions that enhance the performance and reliability of sensor systems Work closely with engineers from other teams to maintain seamless sensor operations Requirements Significant experience in software development, particularly with sensor systems Proven ability to design and implement complex technical solutions Strong collaboration skills and a commitment to advancing autonomous vehicle technology

Join our dynamic team at LinkedIn Corporation as a Senior Staff Software Engineer specializing in Systems Infrastructure. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust infrastructure systems that support our growing platform. You will collaborate with cross-functional teams to drive innovation and optimize our systems for scalability and performance.

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.

Waymo, a leader in autonomous driving technology, is on a mission to become 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 ultimately save lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications, having successfully completed over ten million rider-only trips while autonomously navigating over 100 million miles on public roads and simulating tens of billions of miles across more than 15 U.S. states.Our Hardware Engineering team comprises a vibrant mix of electrical, mechanical, reliability, software, and vehicle engineers. We are responsible for designing, building, and refining the products that serve as the sensory systems for Waymo's autonomous driving technology, integrating these innovations into vehicle platforms. We are looking for innovative and talented individuals to join us on this exciting journey.The Embedded Simulation team is critical to Waymo’s rapid scaling of the Waymo Driver across new vehicle and hardware platforms, as well as accelerating the development of our embedded and reliability software systems. We create tailored test environments for embedded and hardware applications and incorporate our technology into comprehensive system behavioral simulations.In this role, you will report to the Senior Director of R&D Software Engineering.

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, we have developed the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility and saving lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and executed tens of billions of miles in simulation across more than 15 U.S. states.Our Hardware Engineering team is a dynamic and collaborative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, build, and refine the innovative products that serve as the eyes and ears of Waymo’s autonomous driving technology, integrating them seamlessly into our vehicle platforms. We invite curious and talented individuals to join us in driving innovation forward.This position follows a hybrid work model and reports to a Staff Software Engineer.

Join Nuro as a Senior Software Engineer focused on GenAI Infrastructure and Agent Systems. In this pivotal role, you will leverage cutting-edge artificial intelligence technologies to enhance engineering efficiency across our platforms. You will be responsible for designing and implementing scalable systems that drive automation and optimization in our engineering processes.

Moveworks is looking for a Senior Software Engineer focused on Search Infrastructure to help advance the company’s search technology. This position is based in Mountain View. Role overview This role centers on building and improving scalable search systems. The work directly supports better user engagement and satisfaction by making search faster and more effective. Collaboration Expect to work closely with colleagues from different teams. Joint efforts will shape the design and implementation of new search features and infrastructure improvements. Key responsibilities Design and implement scalable search solutions Enhance existing search capabilities Work with cross-functional teams to deliver improvements

Your RoleDevelop and enhance core infrastructure services and microservices that significantly influence our machine learning, frontend, and platform teams.Establish critical infrastructure components such as distributed configuration management, rate limiting, feature flags, A/B testing, and traffic capture and replay functionalities.Optimize the performance, scalability, and observability of the Moveworks cloud infrastructure.Consistently deliver time-sensitive projects that require collaboration with other engineering teams.Take ownership of features from inception to deployment, actively shaping the infrastructure roadmap.Engage in a highly collaborative, in-person environment, working alongside Core and ML engineering teams and more.

Join Our Team as a Software Engineer, Core InfrastructureAs a pivotal member of the Core Infrastructure team at Moveworks, you will play a crucial role in designing and implementing the next generation of our AI infrastructure. With Moveworks experiencing rapid growth, our infrastructure team is dedicated to creating and maintaining reliable, resilient foundational services and frameworks that enable our products to scale efficiently and support our engineering teams in delivering customer-facing features swiftly.Collaborate closely with machine learning, search, product, data, and frontend teams to assess their infrastructure requirements, influence the infrastructure roadmap, and lead various projects from conception to execution.Design and construct core infrastructure components and foundational functionalities, including distributed key-value stores, schema-less data stores, authentication and authorization systems, event streaming, distributed configuration management, rate limiting, circuit breaking, feature flag systems, A/B testing, and traffic capture and replay.Enhance the observability and reliability of Moveworks systems by building and refining distributed logging, tracing, monitoring, and alerting infrastructures.Establish methodologies and metrics to evaluate the performance of microservices and product functionalities, identify bottlenecks, and enhance the overall performance and scalability of Moveworks applications.Consistently deliver time-sensitive work that is interconnected with other engineering teams.

Join our innovative team at Nuro as a Software Engineer specializing in ML Platform Infrastructure. In this role, you will be at the forefront of developing and enhancing machine learning infrastructure that powers our autonomous delivery vehicles. You will work collaboratively with data scientists and engineers to build scalable and efficient systems that support various machine learning applications.

Who We AreAurora Innovation is on a mission to revolutionize transportation by delivering self-driving technology that is safe, rapid, and widely accessible.The Aurora Driver will usher in a new era of mobility and logistics, providing a safer, more efficient future for all.At Aurora, you will engage with complex challenges alongside a team of passionate and intelligent professionals, enhancing your expertise in the process. For the latest updates on Aurora, explore our website at aurora.tech or connect with us on LinkedIn.Aurora is committed to building a transportation ecosystem that enhances safety on our roads, ensures efficient delivery of essential goods, and makes mobility accessible for everyone. We are currently seeking a Software Engineer II.The Behavioral Simulation team is at the forefront of developing a simulation engine that mirrors the systems following the perception system. This team focuses on creating realistic actor behaviors and infrastructure tools for generating motion planning simulations.Your Responsibilities:Write software in C++17 and Python, adhering to modern best practices. This is a hands-on development role.Contribute to engineering best practices within a large and complex codebase.Address end-to-end simulation and autonomy behavior evaluation challenges across various components of the autonomy system, including motion planning, mapping, and localization.Design and implement critical simulation and offline testing engines and tools.Develop and enhance software for world entities, adaptive behavior, pathfinding, road networks, computational mathematics, spatial queries, collision detection, vehicle control, and vehicle dynamics.

P-1124 Summary At Databricks, we are passionate about empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer drug development. We achieve this by developing and maintaining the leading data and AI infrastructure platform, allowing our clients to concentrate on the critical challenges that define their missions. Our engineering teams are dedicated to creating highly sophisticated products that address genuine, vital needs in society. We continually explore the frontiers of data and AI technology while ensuring the resilience, security, and scalability essential for our customers' success on our platform. Clients trust Databricks with their most valuable data, and the Trust & Safety team is committed to establishing the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role within Trust & Safety, crucially safeguarding customer data from malicious threats. We seek senior leaders to craft the vision and define the strategy for this crucial domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical gaps in our infrastructure and services. Attract top-tier talent from across the industry. Serve as a key advocate for the security engineering discipline throughout the organization, promoting a data-driven approach. Represent Databricks at academic and industry conferences and events.