Senior Software Engineer - Post-Training & RL Frameworks

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.

Databricks is hiring an Engineering Manager for the Application Frameworks group in Mountain View, California. This position leads a team focused on designing and improving frameworks that help businesses unlock greater value from their data. The team’s work emphasizes scalable solutions that enhance both usability and performance for Databricks users. Role overview This manager guides a team of engineers dedicated to building application frameworks. The work involves close collaboration with partners across the company to define project goals and requirements. Managing project timelines and ensuring that deliverables meet Databricks quality standards are key parts of the role. Creating an environment where team members can innovate and perform at a high level is central to success. What you will do Lead and support an engineering team working on application frameworks Collaborate with cross-functional partners to set project direction and requirements Oversee project schedules and ensure outcomes align with company standards Encourage a culture of collaboration and innovation within the team Requirements Proven experience managing technical teams, preferably in software or application development Interest in data, AI, and building tools that simplify complex systems Skill in setting priorities and guiding teams to achieve ambitious goals This role suits those interested in building and scaling frameworks that influence the future of data and AI at Databricks.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save thousands of lives currently lost to traffic accidents. The Waymo Driver operates Waymo’s fully autonomous ride-hail service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips, our technology has autonomously driven more than 100 million miles on public roads and processed tens of billions of miles in simulation across more than 15 U.S. states.The Waymo ML Frameworks & Efficiency team collaborates closely with Research and Production teams to design and implement models in Perception and Planning, which are essential components of our autonomous driving software. We provide our partners with the most effective frameworks for the entire model development lifecycle and innovative efficiency solutions for model execution, tailored to the unique challenges of machine learning in autonomous driving.We are seeking talented engineers with expertise in ML frameworks or ML systems to enhance computational efficiency in both cloud environments and vehicle systems. You will engage with the entire ML stack, from deep learning model architectures to accelerator runtimes, working alongside ML modeling teams to drive large-scale efficient model training and inference.

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, a pioneering autonomous driving technology company, is on a mission to become the most reliable driver in the world. 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™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver is the backbone of Waymo’s fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. Having completed over ten million rider-only trips and accumulated over 100 million miles of autonomous driving on public roads, alongside tens of billions of miles in simulation across 15+ U.S. states, Waymo is at the forefront of this transformative technology.The Onboard Frameworks Team is essential in providing the foundational components necessary for developing Waymo's onboard software ecosystem. This team collaborates closely with onboard engineers to design, implement, and deploy critical APIs, streamline development workflows, and provide tools that significantly enhance the development speed across the organization.

Waymo LLC develops autonomous driving technology in Mountain View, CA, with a mission to improve road safety and mobility. Since its origins as the Google Self-Driving Car Project in 2009, Waymo has logged over 100 million miles on public roads and completed more than ten million rider-only trips across more than 15 states. Perception Team The Perception team builds the systems that allow the Waymo Driver to understand its surroundings, make decisions in real time, and ensure passenger safety. This work relies on large-scale, multi-modal machine learning models trained on millions of miles of sensor data. Role overview This Principal Software Engineer (hybrid) will report directly to the Senior Director of Engineering, Perception. The position focuses on advancing the Waymo Driver’s post-training capabilities and supporting the technology roadmap for perception models. Key responsibilities Partner with Onboard model engineers to prototype and test new model designs and training methods before they move to production. Create infrastructure for model experimentation, including robust data and evaluation frameworks. Lead the post-training technology roadmap, exploring reinforcement learning and related techniques. Support production rollout of major improvements in model architecture and training recipes to address diverse behavioral situations. Foster strong partnerships between Onboard and research teams within Waymo and Alphabet. Collaborate with Onboard and other stakeholders to evolve and execute the post-training recipe roadmap for significant advancements and production impact.

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.

We are seeking a highly skilled Software Engineering Manager to lead our LLM Training team at LinkedIn. In this dynamic role, you will oversee a team of talented engineers and guide the development of state-of-the-art machine learning models that power our platform. Your leadership will be crucial in driving innovation and ensuring the successful execution of projects. You will collaborate with cross-functional teams to enhance our AI capabilities and deliver cutting-edge solutions.

Role overview Nuro is looking for a Senior Middleware Software Engineer to help build and support the software that powers its autonomous delivery platform. This role focuses on developing and maintaining middleware systems that connect different parts of the technology stack. The work directly impacts the reliability and efficiency of Nuro’s services.

P-1137 Summary At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging issues, from detecting security threats to advancing cancer treatments. We achieve this by developing and operating the premier data and AI infrastructure platform, enabling our clients to concentrate on the high-impact challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a modest office in Berkeley, CA, to a global leader with over 1,500 employees. Thousands of organizations, ranging from startups to Fortune 100 companies, rely on Databricks for their mission-critical workloads, establishing us as one of the fastest-growing SaaS firms globally. Our engineering teams are focused on creating highly technical products that address significant real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. Customers entrust Databricks with their most valuable data, and our Trust & Safety division is committed to creating the most reliable data analytics and machine learning platform worldwide. Security Engineering plays a vital role in safeguarding customer data from malicious threats. We seek senior leaders to shape the vision and define the strategic approach within this critical domain. The impact you will have: Enhance the safety of Databricks for our customers by identifying and addressing critical vulnerabilities in our infrastructure and services. Attract top-tier talent from across the industry. Advocate for the security engineering discipline across the organization, wielding a significant voice to drive data-driven decisions. Represent Databricks at academic and industry conferences and events.

Aerospike is a leading real-time database solution designed for mission-critical applications and workloads, including machine learning, generative AI, and autonomous systems. Our platform powers millions of transactions per second with millisecond latency, offering a significantly lower total cost of ownership compared to traditional databases.Renowned organizations such as Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair trust Aerospike to manage their customer 360 insights, fraud detection, real-time bidding, profile stores, recommendation engines, and more.At Aerospike, we dream big and deliver even bigger. Our mission is to harness the power of the world's real-time data with a database engineered for infinite scale, speed, and sustainability.If you’re ready to shape the future of data, we invite you to join our team.As we expand rapidly, we are heavily investing in our Cloud Platform, a sophisticated multi-cloud, multi-tenant solution that delivers the capabilities of Aerospike to our customers with unparalleled simplicity, speed, and scalability.Senior Software Engineer, CloudWe are looking for a talented Senior Software Engineer to join our Cloud team. In this pivotal role, you will design and develop the infrastructure orchestration, control systems, and operational frameworks that underpin Aerospike Cloud. Your contributions will directly influence the reliability, scalability, and security of production database clusters that serve clients across the globe.

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 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.

About Nuro Nuro is a pioneering self-driving technology firm dedicated to making autonomous driving accessible to everyone. Established in 2016, we are developing the world’s most scalable driver by merging advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, from robotaxis to commercial fleets and personal vehicles. With years of proven self-driving deployments, we offer automakers and mobility platforms a clear path to achieving commercial-scale autonomous vehicles, enhancing safety and connectivity for a better future. Join Our Team Our team is committed to empowering engineers to revolutionize transportation by equipping them with the tools and infrastructure necessary for productivity and success. We aim to achieve this through: Identifying and resolving engineering process challenges. Creating innovative tools and infrastructure for enhanced efficiency. Educating engineers on best practices. Utilizing cutting-edge technologies to amplify productivity. Our passionate engineers are dedicated to solving complex problems and making a positive impact on the future of transportation. Role Overview Collaborate with engineers across Nuro to pinpoint inefficiencies in the engineering workflow. Define, analyze, and monitor metrics relating to engineering velocity and system health. Innovatively address daily developer challenges by creating new tools or enhancing existing ones. Develop scalable infrastructure for continuous code integration, testing, and release, while optimizing for coverage, speed, and cost, addressing the unique complexities of Nuro’s machine learning and hardware tests. Oversee and enhance essential libraries and APIs for interaction with complex systems, managing code dependencies and the overall structure of Nuro’s codebase. Utilize Generative AI to enhance engineering productivity. Provide guidance to developers on best practices and newly implemented tools.

Harness is at the forefront of AI-driven software delivery, founded by the visionary technologist Jyoti Bansal, who previously established AppDynamics, leading to its acquisition by Cisco for an impressive $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code generation, the critical bottleneck has shifted to the post-coding phase, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, empowering teams to deliver software more efficiently while ensuring security and governance throughout the software delivery lifecycle.Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep contextual insights and intelligent automation across the software delivery landscape, embedding governance and policy-driven controls throughout.In just the past year, Harness has facilitated over 185 million deployments, 82 million builds, and 18 trillion flag evaluations, alongside conducting 8 million security scans, optimizing 9.1 billion tests, and protecting 3 trillion API calls. We have effectively managed $2.8 billion in cloud expenditures, assisting clients such as United Airlines, Morningstar, and Choice Hotels in accelerating their release cycles by up to 75%, reducing cloud costs by up to 60%, and achieving a remarkable 10x improvement in DevOps efficiency.With a diverse global workforce spanning 14 offices in 25 countries, Harness is pioneering the future of AI-driven software delivery, and we are on the lookout for extraordinary talent to join us on this exciting journey.Position SummaryJoin us as a Senior Software Engineer in a dynamic, high-growth startup environment. As part of the Platform team, you will architect, design, develop, and deliver top-notch software solutions that significantly influence our product offerings.About the RoleDesign and implement scalable platform featuresCreate comprehensive software functional specifications and design documentationQuickly grasp complex systems and code, taking ownership of critical components, including their qualityCollaborate with cross-functional teams to drive innovation and efficiency

P-78 At Databricks, we are driven by a commitment to empower data teams in tackling some of the most significant challenges facing the world today—from revolutionizing transportation to speeding up the discovery of medical innovations. By constructing and managing the premier data and AI infrastructure platform, we enable our clients to harness profound data insights to enhance their operations. Founded by engineers and intensely focused on customer satisfaction, we eagerly embrace every chance to address technical challenges, whether it’s crafting next-generation UI/UX for data interaction or scaling our services and infrastructure across millions of virtual machines. And we are just getting started. As a Senior Software Engineer with a focus on backend development, you will collaborate with your team to create scalable infrastructure and products for the Databricks platform.

Join Waymo, a leader in autonomous vehicle technology, as a Senior Software Engineer specializing in Behavior Test Engineering. In this role, you will collaborate with cross-functional teams to design, develop, and implement robust test frameworks that ensure the safety and reliability of our self-driving technology.Your expertise will contribute to creating innovative solutions that push the boundaries of what is possible in autonomous driving. You will be responsible for enhancing the testing processes and ensuring our software meets the highest standards of quality and performance.

At Databricks, we strive to revolutionize the data lifecycle from ingestion to ETL, business intelligence (BI), and machine learning (ML) with our unified platform. We envision a future where the traditional data warehouse architecture is superseded by an innovative architectural model known as the Lakehouse (CIDR 2021 paper). This cutting-edge approach integrates data warehousing with advanced analytics, effectively addressing significant challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support.A pivotal component of achieving this vision is the development of the next-gen (decoupled) query engine and structured storage system designed to surpass the performance of conventional data warehouses for relational queries while maintaining the flexibility of general-purpose systems like Apache Spark™. This will empower a wide range of workloads, from ETL processes to data science applications.As a member of our team, you will engage in one or more of the following areas to design and implement these advanced systems that set new benchmarks:Query compilation and optimizationDistributed query execution and schedulingVectorized execution engineData securityResource managementTransaction coordinationEfficient storage structures (encodings, indexes)Automatic physical data optimization

Waymo, an innovative leader in autonomous driving technology, aims to become the world's most trusted driver. Established in 2009 from the Google Self-Driving Car Project, Waymo focuses on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver facilitates our fully autonomous ride-hail service and is adaptable to a variety of vehicle platforms and use cases. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, along with extensive simulation across 15+ U.S. states, Waymo is redefining transportation.The Planner Evaluation team is at the forefront of addressing one of the critical challenges in autonomous driving: assessing and enhancing the quality of the software that operates the vehicles. We are in search of skilled data-centric software engineers and data scientists who are eager to improve our methodologies for characterizing and evaluating modifications to the onboard software stack. If you're enthusiastic about autonomous vehicles and utilizing complex data to inform decision-making, this is the ideal opportunity for you!This hybrid role will report to an Engineering Manager.Your responsibilities will include:Developing metrics to evaluate the performance and driving characteristics of the Waymo Driver using various techniques such as statistics, mathematics, physics, algorithms, and machine learning.Utilizing simulations creatively while analyzing real-world driving logs to assess driving performance.Designing and implementing methods to establish a robust connection between onboard software modifications and simulated results.Promoting code health and adherence to best practices within a large and intricate codebase.Analyzing data to provide actionable insights on enhancing metric quality and interpretability.Collaborating with fellow engineers, data scientists, statisticians, and leadership to produce evaluation tools and support data-driven decisions.

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.