Staff Software Engineer - Simulation Capacity Optimization

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.

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.

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.

About Us Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to achieving commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview At Nuro, we adopt a machine-learning-first strategy in our approach to autonomous driving technology. The performance of our systems is significantly influenced by the quality and diversity of training and evaluation data. Your team will be pivotal in enhancing our autonomous driving systems by establishing a robust and scalable data infrastructure. This infrastructure will generate training and evaluation data from both real-world driving logs and simulated environments. Collaborating closely with system engineers, you will ensure thorough validation of the autonomous driving system prior to deployment. Key Responsibilities Design and implement cohesive, introspectable data pipelines capable of processing large-scale batch and streaming data across diverse evaluation use cases. Develop a storage solution that efficiently manages extensive volumes and a wide variety of performance metrics. Create user-friendly dashboards and reports to display evaluation results, enabling easy comparisons to highlight improvements and regressions in ML components and the overall system. Establish and maintain continuous testing and monitoring systems to ensure the integrity and robustness of our data and data pipelines. Build data mining tools utilizing applied ML techniques to meet data discovery requirements in areas such as Perception, Behavior, and Mapping. Develop data annotation tools to aid both first-party and third-party labeling efforts, ensuring high-fidelity perception, mapping, and trajectory labels. Scale data annotation labels with cutting-edge ML techniques. Qualifications A degree in Computer Science, Engineering, or a related field (BS, MS, or PhD) combined with at least 4 years of relevant professional experience. Strong programming skills in Python or similar languages. Experience in data engineering, machine learning, or related fields. Familiarity with data pipeline tools and frameworks. Ability to work collaboratively in a fast-paced, innovative environment.

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 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.

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.

At Coupang, we are dedicated to delivering an exceptional experience for our customers. Our goal is to elicit the reaction, "How did we ever live without Coupang?" With a relentless passion for simplifying shopping, dining, and living, we are transforming the multi-billion-dollar e-commerce landscape from the ground up. We have rapidly emerged as one of the leading e-commerce companies in South Korea, known for our reliability and innovation. We embody the best of both worlds — a startup-like atmosphere paired with the resources of a global public enterprise. This unique combination propels our growth and accelerates the launch of new services, maintaining the swift pace we established at our inception. Our team is filled with entrepreneurial spirits eager to initiate new projects and innovations. At Coupang, you will witness personal, team, and company growth each day. Our mission to revolutionize commerce is genuine. We continuously push the limits of what is achievable, tackling challenges and dismantling traditional trade-offs. Join Coupang and contribute to creating an extraordinary experience in today’s fast-paced, technologically advanced, and interconnected world. Role Overview As a Senior Staff Software Engineer in the ML Infrastructure team for Search & Discovery, you will be tasked with designing and implementing robust and efficient software solutions that manage vast amounts of structured and unstructured data necessary for training complex machine learning models and serving them effectively online. The Search & Discovery team is pivotal in optimizing our customers' navigation experience and driving sustained growth. Each week, over 20 million customers utilize search on our app or coupang.com, with more than a third making purchases. A significant portion of Coupang's sales is directly linked to search and recommendation features, with many business strategies and growth initiatives being influenced by ranking and recommendation algorithms. This position offers a chance to develop scalable offline and online machine learning platforms to support ranking, recommendation, and business decision-making. You will work with billions of user interaction records and petabytes of raw log files, converting them into actionable data formats for engineers and scientists. Additionally, you will be responsible for delivering complex machine learning models in real-time, facilitating millions of Coupang customers in discovering and searching for products. If you are passionate about big data engineering, scalable serving systems, and making a tangible business impact, this role is an excellent fit for you.

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.

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.

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.

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.

At Databricks, we are dedicated to empowering data and AI teams to tackle some of the world's most significant challenges — from transforming transportation to expediting medical innovations. Our mission is to create and maintain the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to enhance their businesses. Founded by engineers with a customer-first mentality, we eagerly embrace every opportunity to address technical challenges, whether it’s designing next-gen UI/UX for data interaction or scaling our services across millions of virtual machines. And we are just getting started. As a member of the ML/AI Environments team, you will develop the systems that allow AI researchers and engineers to effortlessly establish their desired training and serving environments. You’ll join a high-agency, high-visibility team at the cutting edge of AI infrastructure, closely connected to research, product development, and real-world enterprise applications. Databricks Mosaic AI is one of our fastest-growing sectors, assisting thousands of customers in democratizing AI within their organizations. We are building the infrastructure that fuels the next generation of AI.

Join Nuro as a Senior Software Engineer specializing in Machine Learning Platform Infrastructure. You will be at the forefront of developing and enhancing our innovative ML platform that powers autonomous delivery vehicles. Your expertise will directly contribute to improving our algorithms and infrastructure, ensuring efficient and scalable performance.In this role, you will collaborate with cross-functional teams to design, implement, and optimize the underlying infrastructure for machine learning applications. You will also mentor junior engineers and drive best practices in software development.

Nuro develops self-driving technology, aiming to make autonomous vehicles accessible for everyone. Since 2016, the team has blended advanced AI with automotive-grade hardware, licensing the Nuro Driver™ to support robotaxis, commercial fleets, and personal vehicles. Partnerships with automakers and mobility platforms help bring these autonomous solutions to commercial scale. The Senior Software Engineer - Software Update Infrastructure role is part of the Fleet Connectivity team based in Mountain View, California. This position focuses on building and maintaining systems that support release infrastructure and over-the-air (OTA) updates for Nuro’s autonomous vehicles. The work covers both cloud and robotics stacks, ensuring reliable network connectivity, telemetry, and software updates that are vital to Nuro’s mission. What you will do Design, build, test, deploy, and maintain software for release infrastructure and OTA updates. Manage project priorities, deadlines, and deliverables within the team and when working with other groups. Write high-quality, testable code that meets strict code quality standards. Monitor release system performance by defining and tracking KPIs, and implement optimizations to improve build costs, times, and storage usage. Create testing and validation programs to ensure system architecture and data flows are reliable. Contribute to documentation and participate in on-call rotations during business hours. Requirements 5+ years of experience working with large-scale distributed systems. Proficiency in C++ or Go. Comfortable working in Unix/Linux environments and with Bash scripting. Ability to translate broad requirements into detailed system designs. Strong knowledge of data structures, algorithms, and distributed system software design. Bachelor’s degree in Computer Science, Electrical Engineering, or a closely related field. Bonus points Experience with SQL. Familiarity with Google Cloud Platform (GCP). UI development experience. Background in OTA updates execution and management.

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 is a pioneering company in the realm of autonomous driving technology, striving to become the most reliable driver globally. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—which enhances mobility access while significantly reducing traffic-related fatalities. The Waymo Driver underpins our fully autonomous ride-hail service and can be utilized across various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has autonomously navigated over 100 million miles on public roads and tens of billions in simulated environments across more than 15 U.S. states.Role Overview: As a key member of the Waymo ML Infrastructure team, you will collaborate with both Research and Production teams to refine models in Perception and Planning that are vital to our autonomous driving software. You will provide the optimal solutions for the entire model development lifecycle, developed in close partnership with Google teams. Your primary focus will be on enhancing the runtime efficiency of input data pipelines for large-scale training workloads, presenting a unique opportunity to advance ML systems and improve our model training processes.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.