PhD Systems Software Engineer

Waymo is at the forefront of autonomous driving technology, with a vision to be 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™. This innovation aims to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million trips undertaken and more than 100 million miles driven autonomously on public roads, Waymo stands as a leader in safety and innovation across 15+ U.S. states.The Planner Reasoning Team is pivotal within Waymo, responsible for creating technology that directly influences the Waymo Driver's behavior. This team plays a crucial role in both onboard and off-board system architecture, leading the charge in pioneering deep-learning initiatives. Join us to enhance our Waymo Driver's performance and uphold our stellar safety record as we expand into new cities.In this hybrid role, you will report to an Engineering Manager.

Waymo is at the forefront of autonomous driving technology, driven by a mission to become the world's most reliable driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our innovative Waymo Driver powers our fully autonomous ride-hail service, with applications across various vehicle platforms and use cases. Having completed over ten million rider-only trips, our technology is backed by more than 100 million miles driven autonomously on public roads and tens of billions simulated across more than 15 U.S. states.The Reasoning Foundations Team is pivotal in crafting horizontal technologies that impact the entire Waymo organization. Within this team, the Driving Logic Capabilities unit focuses on building and maintaining the essential interfaces, infrastructure, and shared technologies utilized by Planner Reasoning to address onboard behavioral challenges. In this impactful role, you’ll play a crucial part in enhancing the Waymo Driver's performance as we expand into new cities, empowering over 100 engineers to develop onboard software and advance Waymo’s architectural frameworks. Additionally, you will have the chance to influence development workflows organization-wide by establishing clear interfaces and processes for developing and debugging the Waymo driver.In this hybrid role, you will report directly to a Lead Software Engineer.

About UsAt Aurora, we aim to revolutionize transportation by bringing self-driving technology to everyone, safely and quickly.Discover the Aurora Driver and join us in creating a future of mobility that is safer, more efficient, and accessible to all. At Aurora, you will engage with challenging problems alongside a team of passionate and intelligent colleagues, enhancing your skills while contributing to an innovative mission. For updates on our journey, check out our website at aurora.tech or follow us on LinkedIn. We are in search of a Software Engineer to collaborate with our Planner Architecture team. This team is responsible for the software framework and systems integration that supports Aurora's core motion planning algorithms. You will play a crucial role in defining and optimizing the data structures and APIs for the Motion Planner, ensuring high-quality software that meets real-time performance standards through continuous improvements. Additionally, you will develop the tools and infrastructure necessary to diagnose on-road driving behaviors swiftly, aiding in the enhancement of the Aurora Driver.

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.

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, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving over 100 million miles on public roads and countless simulations, Waymo is at the forefront of the transportation revolution.Our Software Engineering team is the brain behind Waymo's fully autonomous driving technology. Our innovative software empowers the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe travel for passengers. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, all while collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher interested in Level 4 autonomous driving, we encourage you to connect with us.In this hybrid position, you will report directly to a Technical Lead Manager, Senior Staff Engineer.

Waymo is a pioneering autonomous driving technology firm dedicated to becoming the world’s most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has committed itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver underpins Waymo’s fully autonomous ride-hailing services and can be adapted across various vehicle platforms and applications. With more than ten million rider-only trips completed, it has driven over 100 million miles on public roads and tens of billions of miles in simulations across 15+ U.S. states.In this hybrid role, you will work closely under the guidance of a Technical Lead in Planner Technology.Your Responsibilities:Analyze driving behavior issues from logs to identify underlying causes.Enhance the performance of cutting-edge machine learning models in the Planner.Build foundational frameworks to further the capabilities of the Waymo Driver.Broaden the influence of machine learning models while maintaining interpretability and behavioral assurances.Contribute to solving some of the most complex driving scenarios.

At Intrinsic Robotics, a pioneering venture backed by Alphabet, we are on a mission to revolutionize industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will transform the landscape of industrial robotics, with software and data at the heart of this evolution. Our goal is to create intelligent, accessible, and user-friendly industrial robotics solutions for an expansive range of businesses, entrepreneurs, and developers. We pride ourselves on being a vibrant team of engineers, roboticists, designers, and technologists dedicated to unlocking the creative and economic potential of robotics.We invite you to apply if you're interested in software engineering positions but don't find a suitable match in our current listings. Our recruitment team will evaluate applications and connect with you if a relevant opportunity arises.Please note, if you apply to this posting, you may not receive a response.We particularly want to hear from you if:You believe in making robotics more accessible for the manufacturing sector.You are skilled in modern software development and have delivered a substantial volume of high-quality software.You thrive on tackling challenging problems in interactive full-stack software, AI, and robotics.You have experience (or a desire) in developing tools and user-friendly interfaces for robotic functionalities. Robot functionalities include, but are not limited to, APIs for creating, editing, and simulating robot workcells, scalable computing infrastructure for microservices, vision algorithms, multi-step task planning, motion and grasp planning, machine learning for complex tasks, and representations for Industry 4.0.

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.

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.

Waymo is at the forefront of autonomous driving technology with a vision to become the world's most reliable driver. Originally launched as the Google Self-Driving Car Project in 2009, Waymo is dedicated to enhancing mobility access while significantly reducing traffic-related fatalities. The Waymo Driver—The World's Most Experienced Driver™—powers our fully autonomous ride-hailing service and has been successfully deployed across multiple vehicle platforms. With over ten million rider-only trips and an impressive record of over 100 million miles driven autonomously on public roads, Waymo's capabilities continue to expand across 15+ U.S. states.As a Technical Lead Manager within our Planner team, you will maintain and enhance a high-impact system that is vital to Waymo's autonomous driving technology. Collaborating with diverse teams, you will develop innovative solutions that address both common driving scenarios and rare, complex situations.

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.

Waymo is hiring a Staff Machine Learning Engineer to focus on Vehicle Compliance Reasoning. This role is based in Mountain View, CA or San Francisco, CA. Role overview This position centers on advancing how autonomous vehicles interpret and meet regulatory and operational standards. The work involves both technical leadership and direct development to enhance the reasoning capabilities of Waymo’s self-driving systems. What you will do Use machine learning techniques to help autonomous vehicles better understand and follow regulations and operational guidelines. Partner with other engineers to design and build solutions for complex, real-world driving scenarios. Support the safety and reliability of Waymo’s autonomous driving technology through both leadership and hands-on work. Team environment Join a group of engineers committed to improving the performance and compliance of autonomous vehicles across a range of environments.

Join logos-space as a Lead Engineer specializing in Flight Software Development. In this critical role, you will spearhead the design, implementation, and testing of cutting-edge software solutions that drive our innovative flight technologies. You will collaborate with cross-functional teams to ensure the highest standards of safety and performance are met in our aerospace applications.

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.

Join our innovative team at LinkedIn as a Principal Staff Software Engineer specializing in Trust. In this pivotal role, you will lead the development of scalable and secure systems, ensuring user trust and data integrity. Collaborate with cross-functional teams to design, implement, and optimize solutions that enhance the platform's security and user experience.As a key contributor, you will leverage your expertise in software engineering and security practices to influence product direction and drive technical excellence. Your leadership will empower teams to deliver high-quality software that meets our users' needs and expectations.

P-188 At Databricks, we are on a mission to fundamentally transform the data lifecycle, simplifying processes from data ingestion to ETL, Business Intelligence (BI), and extending to Machine Learning (ML) and Artificial Intelligence (AI) through a unified platform. We envision a future where traditional data warehouse architectures are replaced by innovative solutions like the Lakehouse architecture (CIDR 2021 paper), which integrate data warehousing and advanced analytics, effectively addressing critical challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support. To turn this vision into reality, we are developing a next-generation decoupled query engine and structured storage system designed to surpass specialized data warehouses in relational query performance while maintaining the versatility of general-purpose systems like Apache Spark™. This system is intended to support a wide array 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, contributing to the design and implementation of cutting-edge systems that redefine industry standards: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security measures Resource management strategies Transaction coordination processes Efficient storage structures (encodings, indexes) Automatic physical data optimization techniques

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.

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.