Senior Staff Software Engineer, Model Post Training

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

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

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

Waymo is a pioneering autonomous driving technology company dedicated to becoming the world's most trusted 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™. Our mission is to enhance mobility access while saving lives that are currently lost to traffic accidents. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and product use cases. To date, we have completed over ten million rider-only trips, driven over 100 million miles on public roads, and performed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates with both Research and Production teams to create core models in Perception and Planning essential to our autonomous driving software. We empower our partners by providing optimal frameworks throughout the model development lifecycle, encompassing both pre-training and post-training phases. Our frameworks are designed to efficiently scale models while addressing the unique challenges of machine learning in autonomous driving.We invite skilled engineers with expertise in machine learning systems to join us in refining and enhancing pre-trained models for deployment within the Waymo Driver and future products. You will collaborate with researchers and modeling engineers across the organization to tackle the complexities of large-scale reinforcement learning (RL), developing systems capable of scaling across various computational, data, and environmental contexts to enhance model intelligence and interpret human driving behaviors.

Waymo is at the forefront of autonomous driving technology, striving to become the world’s most reliable 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 and prevent countless lives lost to traffic accidents. Our cutting-edge Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be implemented across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has accumulated experience from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states.The Large Model Evaluation team is pivotal to Waymo's AI mission. As advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs) continue, we are constructing state-of-the-art AI systems capable of addressing the full spectrum of real-world driving complexities. Central to our success is our capacity to measure progress effectively. Robust evaluation is crucial for deploying any large model, and at Waymo, the challenge is particularly intricate and safety-critical. We seek quantitatively-minded engineers to innovate and propose new methods for assessing the machine learning models integrated into the Waymo Driver.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

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.

Coupang is a major force in South Korean e-commerce, focused on making daily life easier for millions of customers. The company combines the energy of a startup with the reach and stability of a global public business, supporting rapid innovation and new service launches. Team members value initiative, growth, and the opportunity to make a real impact. About the Role The Senior Staff Software Engineer - Security will play a central role in strengthening the security and reliability of Coupang’s core platforms. This position is based in Mountain View or Seattle. The work centers on technical leadership, architecture, and hands-on software development. The goal: build secure, dependable, and scalable systems that support Coupang’s growth and protect customer trust. What You Will Do Lead security architecture and design for backend systems Drive technical decisions that improve platform security, quality, and reliability Mentor and guide fellow engineers on security best practices Collaborate closely with product teams on high-impact projects Contribute directly to codebases, setting high standards for secure development What We’re Looking For Extensive experience in software engineering with a focus on security Strong background in building and scaling secure backend systems Proven ability to provide technical leadership and architectural direction Experience mentoring engineers and collaborating across teams Join Coupang to help shape the future of commerce and make a lasting difference in a high-tech, connected world.

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

Join Databricks as a Senior Staff Software Engineer focusing on Lakeflow Pipelines Datasets. In this pivotal role, you will be at the forefront of developing scalable data processing solutions that empower organizations to harness the full potential of their data. Your expertise will directly contribute to the enhancement of our Lakeflow platform, ensuring seamless data integration and processing workflows.As part of a dynamic team, you will collaborate closely with product managers, data scientists, and other engineers to design and implement robust pipelines that can efficiently handle large datasets. This role offers the opportunity to influence architectural decisions and drive best practices in data engineering.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

About UsAt Gatik, we are pioneering the future of autonomous middle-mile logistics. Our innovative approach to B2B supply chain management leverages autonomous transportation-as-a-service (ATaaS), ensuring safe and reliable deliveries while optimizing freight movement and alleviating congestion. We have made history by launching the world’s first fully driverless commercial transportation service in partnership with Walmart in 2021. Our Class 3-7 autonomous trucks are actively operating in key markets such as Texas, Arkansas, and Ontario, Canada, driving transformative change in the freight transportation industry.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously engineered to facilitate secure and efficient freight transport between designated pick-up and drop-off points on the middle mile. With advanced capabilities in both highway and urban settings, Gatik Carrier™ seamlessly integrates sophisticated software and hardware that powers our fleet, thereby ensuring smooth incorporation into our clients' logistics operations.Role OverviewWe are on the lookout for a Senior or Staff Software Engineer who possesses extensive expertise in Visual Odometry (VO) and Localization to become a vital member of our autonomy team. This position is essential for the creation of precise, real-time vehicle localization systems utilizing camera-based perception for autonomous driving applications. The ideal candidate will have practical experience in deploying VO systems in real-world settings, particularly within the autonomous vehicle (AV) sector, and will demonstrate strong C++ engineering capabilities to develop robust, high-performance software solutions.This role requires onsite presence five days a week at our Mountain View, CA office.

Join our innovative team at ServiceNow as a Senior Staff Software Engineer specializing in Agentic AI Systems. In this critical role, you will lead the design, development, and implementation of cutting-edge AI solutions that enhance our customer experience and drive operational efficiency. You will work collaboratively with cross-functional teams to create scalable and robust systems that utilize advanced machine learning techniques.

Join LinkedIn as a Senior Staff Software Engineer specializing in High-Performance Computing (HPC) Network Engineering. In this pivotal role, you'll design and implement cutting-edge network solutions that enhance our HPC capabilities and drive innovation across our products. Collaborate with a dynamic team of engineers and contribute to the optimization of our network infrastructure to ensure exceptional performance and reliability.

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

Waymo is a leader in autonomous driving technology dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—an exceptional driver that enhances mobility access while significantly reducing traffic-related fatalities. The Waymo Driver not only supports our fully autonomous ride-hailing service but can also be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has safely navigated more than 100 million miles on public roads and processed tens of billions of miles in simulation across over 15 U.S. states.The Perception Data team at Waymo plays a critical role in shaping the strategy and technical direction for all data utilized in training and evaluating the Waymo Driver's perception capabilities. We manage the complete data lifecycle, developing automated systems and 'infrastructure-as-product' solutions that convert vast amounts of driving sensor data into high-quality training datasets. Our team tackles complex challenges, including active learning loops and open-vocabulary modeling, bridging raw data with advanced machine learning techniques.By integrating data ingestion, curation, and evaluation into a unified ecosystem, we facilitate the swift development of foundational models and next-generation perception systems. We work closely with Machine Learning, Infrastructure, and Evaluation teams to address intricate data challenges, ensuring our models can effectively interpret the long-tail of rare events. Ultimately, our contributions lay the groundwork for the Waymo Driver to operate safely in diverse environments.

P-1126 Summary At Databricks, we are committed to empowering data teams to tackle some of the most complex challenges facing the world, from security threat detection to the development of innovative cancer treatments. We achieve this by developing and managing a state-of-the-art data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are critical to their goals. Our engineering teams craft advanced technical products that address significant and real-world needs. We consistently push the limits of data and AI technology while ensuring the resilience, security, and scalability that are essential for our customers' success on our platform. Clients entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to creating the most secure data analytics and machine learning platform globally. The Security Engineering division plays a vital role in safeguarding customer data from malicious actors, and we are seeking visionary senior leaders to shape and define our strategy in this domain.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

Waymo is seeking a Staff Software Engineer focused on DevAI to help advance artificial intelligence for autonomous vehicles. This position is based in Mountain View, CA. Role overview This role centers on designing and building AI solutions that support Waymo's self-driving technology. Collaboration with teams across engineering, product, and research will be a core part of daily work. The goal is to strengthen AI capabilities and improve system performance. What you will do Design and develop AI-driven features for autonomous vehicle systems Work closely with colleagues from different disciplines to integrate and refine AI models Contribute to the ongoing improvement of system performance and reliability Impact This position plays a key part in shaping how AI supports the future of transportation at Waymo.

At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging issues in the world—whether it's realizing the next breakthrough in transportation or accelerating medical innovations. Our mission is to build and operate the leading data and AI infrastructure platform, allowing our clients to harness deep data insights for business enhancement.Our engineering teams create impactful technical products that address significant global needs. We consistently push the limits of data and AI technology while ensuring the security and scalability crucial for our customers' success on our platform.We manage one of the largest software platforms globally, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we monitor cloud hardware, network, and operating system faults, ensuring our software effectively shields our customers from these challenges.As a member of the Observability team, you will be at the forefront of developing solutions that deliver critical insights into the health and performance of our products and infrastructure.