Principal Software Engineer, ML System Architect

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Born from the Google Self-Driving Car Project in 2009, Waymo develops the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. Our fully autonomous ride-hail service has completed over ten million rider-only trips, thanks to the Waymo Driver's extensive experience of autonomously navigating more than 100 million miles on public roads and executing tens of billions of miles in simulation across 15+ U.S. states.The Software Engineering team is instrumental in crafting the intelligence behind Waymo's autonomous driving technology. Our sophisticated software empowers the Waymo Driver to interpret its surroundings, make critical decisions in real-time, and transport passengers safely to their destinations. We tackle complex technical challenges in fields such as robotics, perception, decision-making, and deep learning, working closely with hardware and systems engineers. If you are a software engineer or researcher with a passion for Level 4 autonomous driving, we invite you to apply.Every mile logged by a Waymo vehicle generates a unique and invaluable dataset, which is crucial for refining our machine learning models and enhancing the safety and efficacy of the Waymo Driver. You will lead the architecture of a comprehensive data-driven self-improvement loop that integrates every autonomous mile into our machine learning processes. This involves collaboration with Waymo's infrastructure, modeling, and evaluation teams to continuously scale and improve the entire ML lifecycle.In this role, you will report to our Distinguished Engineer, Foundation Models.

Join Databricks as a Lead Security Architect and play a pivotal role in fortifying our IT infrastructure. In this fast-paced environment, you will design and implement a secure and scalable architecture to safeguard our corporate assets. Your focus will encompass crucial aspects of IT security, including Identity and Access Management (IAM), Zero Trust architecture, and endpoint security, all while ensuring the protection of critical business applications and sensitive data.Your deep expertise in security principles and comprehensive understanding of the entire infrastructure stack will be invaluable in crafting robust security solutions that are future-ready. You will help enhance the resilience and integrity of our systems against the ever-evolving cyber threat landscape.This position is critical for shaping our security strategy across various modern platforms including AWS, Azure, GCP, and SaaS solutions. You will establish a strong least privilege (PoLP) model, provide specialized IAM expertise, and securely support SaaS with sensitive information. Additionally, you will contribute to our internal strategy for secure AI development.Collaboration with cross-functional teams is essential to embed security throughout the technology stack, ensuring that our internal strategies align with enterprise security standards.

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.

At Neurelo, we are committed to revolutionizing the technology stack for developers working with data. Our platform empowers developers to create software more efficiently and effectively, providing a seamless experience and ensuring predictable performance at scale. With the backing of prominent investors, we are rapidly expanding and looking for innovative thinkers to join our dynamic team! We are reimagining the modern workflow for developers, enabling them to effortlessly work with data and integrate various data sources into their applications. Join us in building the platform that makes this possible.

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.

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.

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.

Waymo is seeking a Principal Software Engineer focused on Onboard Field Response to help advance autonomous driving technology. This position is based in Mountain View, CA. Role overview This role centers on improving how autonomous vehicles respond in real-world environments. The Principal Software Engineer will design and implement software for onboard systems, working to ensure vehicles operate smoothly and efficiently. What you will do Design and build software solutions for onboard field response Collaborate with cross-functional teams to integrate and refine technology Contribute to the ongoing innovation of Waymo's autonomous vehicle systems Requirements Expertise in software engineering and a strong background in developing solutions for complex systems are essential for this role.

Join Us: Shaping the Future of UI DevelopmentThis role transcends traditional engineering positions. As a visionary builder and a systems thinker, you are committed to advocating for quality and consistency. You recognize that an advanced design system is crucial for enhancing productivity, elevating user experience, and creating an environment where AI tools like Claude Code and Cursor can flourish.You will have the freedom and resources to develop our design system from its inception. Your contributions will empower our product teams to deliver higher-quality features more efficiently and will be instrumental in our strategy to utilize AI for seamless translations of design specifications into pixel-perfect, production-ready code.Your ResponsibilitiesDesign & Build: Create and maintain a scalable, robust, and accessible library of reusable front-end components using React and TypeScript.Establish a Design Token System: Implement and manage a comprehensive design token system (including colors, typography, spacing, etc.) to ensure uniformity across platforms (both web and mobile).Full-Stack Integration: Develop necessary backend APIs, services, and tools to support the design system, including asset pipelines, documentation servers, and version control.Govern & Promote: Produce clear documentation, contribution guidelines, and frameworks for decision-making. Be the primary champion for the design system, promoting its adoption across engineering, design, and product teams.AI Optimization: Structure component APIs, props, and documentation specifically for ease of use by AI code generation tools, defining the “language” our AI assistants will utilize.Tooling & Automation: Oversee the entire lifecycle of the design system's infrastructure, including our Storybook instance, automated testing, and CI/CD pipelines for component publishing and versioning.Collaborate & Lead: Work closely with senior leadership in Product Design and Engineering to outline the design system roadmap, ensuring alignment with company strategic objectives. Mentor fellow engineers in best practices for component design and systems thinking.

Join Our Team!The Ads Infrastructure team at Unity Technologies is at the forefront of building and managing the backbone of one of the world’s largest real-time advertising platforms. Our robust infrastructure supports every aspect of Unity Ads, facilitating segmentation, optimization, bidding, traffic routing, experimentation, and analytics on a global scale.We prioritize the development of resilient, scalable, and cost-effective systems that handle immense traffic volumes across various regions while adhering to stringent latency and availability standards. Our platform leverages cutting-edge technologies such as Kubernetes, Kafka, Flink, Starrocks, Valkey, and other cloud-native components, empowering engineers, data scientists, and product teams to propel Unity Ads towards success.This senior individual contributor position holds significant technical influence across the organization. You will take ownership of pivotal architectural decisions, guide long-term platform advancements, and collaborate with team members, senior managers, and directors to shape the technical trajectory of Ads Infrastructure while maintaining a hands-on approach.

Join Databricks as a PhD Systems Software Engineer where you will leverage your advanced academic training to contribute to innovative software solutions. You will collaborate with a team of talented engineers and researchers to push the boundaries of technology and deliver high-quality systems that meet our clients' needs.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has tirelessly worked 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 fuels our fully autonomous ride-hailing service and can adapt to various vehicle platforms and applications. With over ten million rider-only trips completed, Waymo has amassed more than 100 million miles driven autonomously on public roads, supplemented by tens of billions of simulated miles across 15+ U.S. states.The Perception team at Waymo is instrumental in crafting the technology that empowers the Waymo Driver. Our advanced models enable the Waymo Driver to interpret its surroundings, make informed decisions, and ensure safe passage for passengers. Engaging in research to tackle real-world challenges, we collaborate closely with Alphabet's research teams. Our access to extensive driving data from diverse sensors allows machine learning practitioners to develop scalable multi-modal models and techniques.You will report directly to our Director of Engineering within the Perception Organization.

Reliable Robotics is looking for a Software Engineer to join the Communication Systems team in Mountain View, CA. This role centers on developing and refining the communication solutions that enable autonomous systems to connect and function reliably. Role overview The work in this position shapes the way robotics technology communicates and operates in real-world settings. Projects will focus on the systems that support seamless information exchange between autonomous platforms. Location This position is based at the Mountain View, CA office.

Role Overview Nuro is looking for a Software Engineer focused on Onboard Systems to help build and refine the software powering autonomous delivery vehicles. This position is based at Nuro's headquarters in Mountain View, California. What You Will Do Design and implement software for onboard vehicle systems Work closely with team members to improve reliability and efficiency of onboard technology Contribute to the development of solutions that support autonomous vehicle operations Collaboration Work alongside engineers and other specialists who are committed to advancing autonomous delivery. Expect to share ideas, solve problems together, and help shape the future of Nuro's onboard systems.

Reliable Robotics builds automated aviation systems aimed at making air transportation safer and more efficient. The team includes engineers from aerospace, robotics, and autonomous vehicle backgrounds, all working to advance aviation technology. Role overview The Senior Model-Based Systems Architect will design and develop the company’s internal digital engineering ecosystem. This role involves more than configuring existing tools: the architect will define the formal information schema that connects systems, software, and certification data throughout the organization. What you will do Design and implement a digital engineering framework to support automated aviation systems Create and maintain a unified information schema linking systems, software, and certification data Collaborate with engineering teams and internal tool developers to ensure integration and smooth data flow Establish a scalable, consistent single source of truth for engineering information Location This position is based in Mountain View, CA.

Harness is at the forefront of AI-driven software delivery, founded by technologist and entrepreneur Jyoti Bansal, who previously founded AppDynamics, which was acquired by Cisco for an impressive $3.7 billion. With around $570 million in funding and a valuation of $5.5 billion, Harness is supported by top investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. In a landscape where AI is revolutionizing code generation, the focus has shifted to enhancing the post-code processes, including testing, deployments, application security, reliability, compliance, and cost management. Harness leverages AI and automation to streamline this "outer loop" of software delivery, empowering teams to accelerate their software releases while ensuring robust security and governance throughout the entire lifecycle. Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep context and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls seamlessly. Over the past year, Harness has facilitated more than 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, managing $2.8 billion in cloud expenditure. Our clients, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, reduced cloud costs by as much as 60%, and achieved an impressive 10x efficiency in their DevOps practices. With a diverse global team spread across 14 offices in 25 countries, Harness is poised to redefine the future of AI software delivery, and we are eager to welcome exceptional talent to propel us forward.

Be a Part of the Next Generation of Home RoboticsAt Sunday Robotics, we are at the forefront of developing innovative personal robots designed to liberate individuals from mundane tasks. Our mission is to create widely accessible, generalized robots that help families reclaim valuable time together.After 18 months of dedicated effort in building an exceptional team, securing funding, and validating our technology, we are now eager to welcome passionate individuals ready to contribute to our exciting journey ahead. If you are enthusiastic about applying your expertise in robotics and technology, we would love to hear from you!Your RoleAs a Systems Software Engineer, you will play a pivotal role in developing the core software systems for our home robotics solutions. Your responsibilities will include creating efficient, safety-critical software and collaborating across various teams including Software, Machine Learning, Controls, and Hardware.Key ResponsibilitiesDefine system interfaces while ensuring real-time performance and communication reliability.Write and maintain low-level drivers to facilitate seamless interaction between the onboard computer and physical components such as sensors, actuators, and motor controllers.Develop comprehensive logging and diagnostic tools for system health monitoring and debugging.Qualifications5+ years of experience in developing systems software for robotics or similar resource- and latency-constrained environments.Proficient in systems-level programming languages such as C, C++, or Rust.Solid understanding of Linux, including kernel tuning, scheduling, IPC, memory management, and RTOS.Experience with CPU performance optimization and real-time programming techniques.Preferred QualificationsExperience in writing software for interfacing with sensors and actuators.Familiarity with build systems and over-the-air (OTA) updates.Experience with creating custom Linux drivers.

Waymo, a leader in autonomous driving technology, aims to be the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo's mission has been to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver, recognized as The World's Most Experienced Driver™, not only powers our fully autonomous ride-hail service but is also adaptable across multiple vehicle platforms and applications. With over ten million rider-only trips under its belt, it has driven autonomously for more than 100 million miles on public roads and executed extensive simulations across 15+ U.S. states.In the Hardware organization, Software Engineering is where innovative software integrates seamlessly with the physical world. You will be instrumental in developing critical systems that oversee autonomous vehicle operations across varied domains, including Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation, and Embedded Simulation. We seek versatile software engineers capable of tackling diverse challenges in embedded systems, controls, sensor processing, manufacturing calibration, simulation, and data analytics, as well as designing advanced state machines and automation interfaces.Your contributions will directly influence Waymo's ability to expand its fleet and reach more urban areas.This position follows a hybrid work schedule, and you will report to a Software Engineer.

Role overview LinkedIn Corporation seeks a Distinguished Software Engineer specializing in Systems Infrastructure for its Core Infra team in Mountain View. This senior role focuses on shaping, building, and advancing the core systems that support LinkedIn’s platform at scale. What you will do Design, implement, and continuously improve infrastructure systems that support LinkedIn’s core services Collaborate with teams throughout the company to strengthen and evolve foundational systems Lead efforts to boost system reliability and performance Mentor engineers, promote effective practices, and help develop scalable technical solutions Requirements Deep experience in systems infrastructure engineering Proven ability to design and optimize large-scale, highly available systems Track record of technical leadership and mentoring within engineering teams Strong collaboration skills and a drive to advance core infrastructure through innovation