Staff Software Engineer - Metrics and Logging

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from Google's Self-Driving Car Project in 2009, Waymo has been tirelessly developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to diverse vehicle platforms and applications. With over ten million rider-only trips completed and more than 100 million miles driven autonomously on public roads, Waymo continues to lead the industry in safety and efficiency.As a member of the Onboard Software Performance team, you will play a crucial role in ensuring that systems operating on Autonomously Driven Vehicles (ADV) adhere to stringent performance standards. This includes delivering essential outputs within strict latency constraints while optimizing the allocation of computing resources (CPU/GPU/TPU/RAM) for each submodule, all while maintaining high reliability and supporting rapid system evolution.

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 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 been relentless in its mission to develop the Waymo Driver—The World's Most Experienced Driver™. This innovative technology aims to enhance mobility access and significantly reduce traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service, having successfully completed over ten million rider-only trips, driven more than 100 million miles on public roads, and engaged in tens of billions of miles in simulation across more than 15 states in the U.S.The Onboard Infrastructure Team plays a crucial role in the design and development of the fundamental infrastructure for Autonomous Driving Vehicle (ADV) systems, which includes critical components such as perception, planning, and routing functionalities. This team is responsible for defining the architecture and frameworks necessary to implement these essential systems. Additionally, the team oversees the entire runtime environment for both on-car systems and large-scale simulations, ensuring optimal performance, reliability, and an exceptional developer experience throughout the development lifecycle. This is a hybrid position, reporting to a Staff Engineer, Tech Lead Manager.In this hybrid role, you will report to a Staff Software Engineer / TLM.Your Responsibilities:Lead architectural and framework enhancements to improve driving quality, performance, reliability, and overall developer experience.Comprehensively understand the Waymo code lifecycle—from deployment on autonomous vehicles to conducting large-scale simulations—to ensure top-tier quality across all operational environments.Design, implement, and deploy essential C++ APIs that handle critical functions such as asynchronous management, experimentation pipelines, multi-platform deployments, complex data extraction, debugging tools, and advanced system visualization.Act as a pivotal resource for onboard teams, assisting them in optimizing software setups for maximum efficiency, flexibility, scalability, and reliability, ensuring alignment with Waymo's rapidly evolving requirements.Enhance our internal tools, infrastructure, and development processes to accelerate engineering velocity while maintaining stringent control over system complexity, performance, reliability, and developer experience.

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.

Who We Are Nuro is at the forefront of self-driving technology, committed to making autonomy accessible to everyone. Since our inception in 2016, we have been developing the world's most scalable autonomous vehicle driver, merging advanced AI with robust automotive hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven technology from self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, richer, and interconnected future. About the Role As our software team expands, we are seeking skilled engineers to play a pivotal role in one of the following areas: Onboard Systems, Performance, or Devices Platform. Onboard Systems: Our onboard systems team develops reliable and high-performance platforms that enable integration of autonomy software and algorithms across various self-driving platforms. This role necessitates close collaboration with software, hardware, and systems/safety teams to ensure seamless and safe integration of new software and hardware, while addressing onboard errors and performance challenges. Performance: The Performance team is dedicated to optimizing Nuro’s AV software, ensuring our vehicles can respond quickly and safely to their environments. This team creates systems and tools for continuous performance analysis while driving efforts in latency reduction and resource efficiency to support our autonomy teams in implementing an effective autonomy stack for current and future generations of the Nuro Driver. Devices Platform: The Devices Platform team lays the groundwork for Nuro’s onboard software related to our sensor and compute platform, including device drivers, inter-device protocols, and runtime APIs. We are creating a hardware-agnostic platform for the perception and autonomy software stack, maximizing the reliability, quality, and performance of our sensor and compute hardware. This team collaborates with internal and external stakeholders to define, evaluate, and integrate next-generation hardware platforms for Nuro’s products while developing necessary tooling for continuous testing and validation. About You You possess substantial expertise and experience in several of the following areas:

Waymo is at the forefront of autonomous driving technology, aiming to become 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 reduce the tragic loss of life due to traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and use cases. With over ten million rider-only trips and extensive experience driving autonomously over 100 million miles on public roadways, complemented by tens of billions of miles in simulations across 15+ U.S. states, we are leading the way in this transformative field.The Perception team is responsible for creating the systems that learn the spatial-temporal representations and semantic meanings of the self-driving car's surroundings, effectively enabling the car to 'perceive' its environment. We collaborate closely with downstream teams to optimize and integrate our findings into the Waymo Driver. Our research tackles real-world challenges, leveraging vast amounts of driving data from diverse sensors. As part of our team, you will work on methods for continuous learning from large-scale real-world data, model development and training at scale, behavioral analysis, and system optimization for both onboard and offboard hardware.In this hybrid role, you will report to a Senior Staff Technical Lead Manager.

Waymo, an innovator in autonomous driving technology, aims to be the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo’s goal is to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hailing service, having completed over ten million rider-only trips and traveled more than 100 million miles on public roads across 15+ U.S. states.The Planner/Perception Reliability team is dedicated to developing architectures, tools, and workflows that proactively address reliability challenges. Our focus is on ensuring the health of onboard software while maintaining high velocity in development.In this hybrid role, you will report to a Staff Software Engineer/Tech Lead Manager.Your Responsibilities Include:Designing the foundational architecture for onboard reliability, creating essential infrastructure and tools that enhance the robustness and reliability of onboard software.Gaining a comprehensive understanding of system behavior, implementing concise, low-noise metrics that provide immediate insights into vehicle and overall fleet performance.Collaborating across teams at Waymo to streamline reliability workflows, ensuring our business-critical operations run smoothly and safely at scale.Developing systems for proactive anomaly detection and automation of clustering, significantly easing the management of reliability and enabling early issue detection.

Join Nuro as a Senior Software Engineer, where you will play a pivotal role in enhancing our performance tooling and infrastructure. You will work on cutting-edge technologies to optimize our systems for efficiency, scalability, and performance. If you are passionate about building robust software solutions and driving innovation, we want to hear from you.

Waymo is at the forefront of autonomous driving technology, committed to becoming 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 significantly reduce the number of lives lost to traffic accidents. The Waymo Driver underpins our fully autonomous ride-hailing service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has autonomously navigated more than 100 million miles on public roads and billions in simulation across over 15 U.S. states.The Perception team is responsible for creating systems that learn the spatial-temporal representation and semantic meanings of the self-driving car's environment. Our work involves close collaboration with downstream teams for optimization and integration with the Waymo Driver. We engage in innovative research to tackle real-world challenges while partnering with Alphabet's research teams. With access to extensive driving data from diverse sensors, our engineers are equipped to (1) devise methods for continuous learning from vast real-world datasets, (2) develop scalable models and training processes, (3) analyze real-world behaviors to manage complex interactions, and (4) optimize models for both onboard and offboard hardware.Within the Perception domain, our Sensor Pipelines team addresses a variety of real-world challenges beyond mere object detection, including weather conditions, road surface understanding, visibility, and the identification of exceptional events surrounding the vehicle. These pipelines encompass a wide range of sensing technologies while integrating throughout the Perception stack and collaborating with planning components.In this hybrid role, you will report to a Director and lead a team of engineers dedicated to Perception machine learning pipelines.Your Responsibilities:Oversee large teams of software engineers tackling diverse Perception product challenges through machine learning, focusing on team development and recruitment to foster resilient, high-performing teams.Guide the team in designing top-tier machine learning solutions in partnership with Technical Leads, nurturing an environment of excellence and high achievement.Act as the team's representative within the broader Perception and Onboard group, collaborating with other leaders on staffing and strategic planning. Establish team Objectives and Key Results (OKRs) and formulate actionable plans to achieve them.

Applied Intuition, Inc. creates digital infrastructure and tools that support physical AI across industries such as automotive, defense, trucking, construction, mining, and agriculture. The company is headquartered in Sunnyvale, California, and operates offices in cities including Washington, D.C., San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Eighteen of the world’s top twenty automakers, as well as the U.S. military and allied forces, rely on Applied Intuition’s technology. For more details, visit applied.co. The team values an in-office culture, with most employees onsite five days a week. There is flexibility for occasional remote work, starting the day from home, or adjusting hours for family commitments. Role overview This Software Engineer - Performance Optimization role is based in Mountain View, California. The focus is on optimizing application-layer software for embedded systems used in autonomous driving technology. What you will do Work across several components of the autonomous driving software stack Develop new features and drive performance improvements for embedded systems Requirements Experience optimizing application-layer software for embedded systems

Who We Are Nuro is a pioneering self-driving technology firm dedicated to making autonomous vehicles accessible to everyone. Established in 2016, we are developing the world’s most scalable autonomous driving system, merging advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to enable various applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving implementations, Nuro empowers automakers and mobility platforms to transition to autonomous vehicles at a commercial scale—ushering in a safer, more connected future. About the Role We are in search of a talented Autonomy Engineer with a focus on onboard autonomy—the software that operates on our robots and vehicles, making real-time decisions based on onboard sensors and computational resources. You will be responsible for developing and deploying reliable autonomy features that function under stringent latency, computational, and safety requirements in dynamic real-world environments. What You’ll Do Design, integrate, and implement onboard autonomy behaviors such as navigation, obstacle avoidance, lane and route following, docking, and interaction behaviors. Develop and maintain components for real-time decision-making, including behavior planning, state machines/behavior trees, local planning, and control interfaces. Create robust sensor-driven autonomy pipelines on-device (using camera, lidar, radar, IMU, wheel odometry, GNSS), ensuring synchronization, calibration, and fault handling. Optimize autonomy performance concerning latency, CPU/GPU utilization, memory, and power on embedded systems such as NVIDIA Jetson and custom ECUs. Design and implement safety measures and fallback strategies, including health monitoring, degraded operational modes, watchdog systems, safe-stop protocols, and redundancy-aware logic. Oversee the integration of the autonomy stack on robotic platforms, including bring-up, debugging, profiling, logging, and release validation on actual hardware. Enhance onboard observability through structured logs, traces, metrics, event recording, and tools to facilitate incident reviews and quick iterations. Collaborate with teams in perception, mapping/localization, controls, hardware, and systems to establish clear interfaces and deliver comprehensive features. Engage in field testing and conduct root-cause analysis for autonomy issues encountered during real deployments.

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.

About UsAurora is dedicated to advancing self-driving technology for a safer, more efficient, and widely accessible future.The Aurora Driver is set to revolutionize mobility and logistics, enhancing safety and efficiency for everyone.At Aurora, you'll collaborate with a team of passionate individuals, tackling complex challenges and enhancing your expertise. Stay updated on our latest innovations by visiting aurora.tech or by following us on LinkedIn.Aurora seeks talented professionals with diverse backgrounds to contribute to a transportation ecosystem that enhances safety and accessibility. We are currently looking for a Senior Staff Electrical Engineer - TLM.In this role, your responsibilities will include:Leading a dynamic team of electrical engineers in the development of cutting-edge electronics for LiDAR, Compute, and various hardware products.Collaborating with internal and external teams to gather requirements, define hardware architecture, model, and deliver products that meet performance metrics.Guiding the team in building, integrating, testing, and debugging hardware products, utilizing advanced software tools and testing equipment.Enhancing electrical engineering processes to ensure compliance with safety, execution, and quality standards.Partnering with mechanical, operations, and validation teams to refine high-quality electrical designs for manufacturing.

Join Nuro as a Software Engineer specializing in Performance Tooling and Infrastructure, where you will play a pivotal role in enhancing the efficiency and scalability of our systems. You will collaborate with cross-functional teams to develop and optimize performance tools that drive the success of our autonomous delivery services.

Who We AreNuro is a pioneering self-driving technology firm dedicated to making autonomous driving accessible to everyone. Established in 2016, Nuro is at the forefront of developing the most scalable driver, merging advanced AI with automotive-grade hardware. We license our innovative core technology, the Nuro Driver™, to facilitate diverse applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven success in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercial-scale AVs, fostering a safer, more connected future.About the RoleAs our software team expands, we are on the lookout for skilled engineers to play a vital role in one of the following domains: Onboard Systems, Performance, or Devices Platform.Onboard Systems: Our onboard systems team develops a robust and high-performance platform enabling our autonomy teams to integrate their software and algorithms across various self-driving platforms. This role necessitates close collaboration with software, hardware, and systems/safety teams to ensure seamless integration of new software and hardware, addressing onboard errors and performance challenges.Performance: The Performance team focuses on optimizing the efficiency of Nuro’s AV software, ensuring that our vehicles respond swiftly and safely to their surroundings. This team builds systems and tools for ongoing performance analysis and spearheads efforts to reduce latency and enhance resource efficiency, enabling autonomy teams to implement a high-performing autonomy stack for both current and future iterations of the Nuro Driver.Devices Platform: The Devices Platform team is tasked with establishing the groundwork for Nuro’s onboard software concerning our sensor and compute platform, encompassing device drivers, inter-device protocols, and pipelines, as well as device runtime APIs. We are developing a hardware-agnostic platform for the perception and autonomy software stack, maximizing the reliability, quality, and performance potential of our sensor and compute hardware. This team also collaborates with internal stakeholders and external suppliers to define, evaluate, and integrate the next-generation hardware platform for Nuro’s products and develop essential tooling for continuous testing and validation.About YouYou possess significant expertise and experience in several of the following areas:

Harness is revolutionizing software delivery with its AI-driven platform, spearheaded by visionary technologist and entrepreneur Jyoti Bansal, the founder of AppDynamics which was acquired by Cisco for $3.7B. With an impressive funding of approximately $570M and a valuation of $5.5B, we are backed by leading investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code creation, we recognize that the main bottleneck now lies in post-code processes—testing, deployment, application security, reliability, compliance, and cost optimization. Harness harnesses AI and automation to streamline this crucial “outer loop,” empowering teams to deploy software at speed while ensuring robust security and governance throughout the software delivery lifecycle.Utilizing Harness AI and our Software Delivery Knowledge Graph, the Harness Platform delivers deep contextual insights and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls throughout the platform.In the past year, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and 3 trillion protected API calls while managing $2.8 billion in cloud expenditures. Our customers, including United Airlines, Morningstar, and Choice Hotels, have experienced a remarkable acceleration in release speeds by up to 75% and reductions in cloud costs by up to 60%, achieving a tenfold increase in DevOps efficiency.With a diverse team distributed across 14 offices in 25 countries, Harness is at the forefront of shaping the future of AI software delivery—and we are on the lookout for exceptional talent to accelerate our journey.Position SummaryThis role falls under the AppSec Foundations charter, concentrating on the design and development of core authentication, authorization, and common services infrastructure that supports Harness's security ecosystem. The team is tasked with constructing foundational Role-Based Access Control (RBAC) systems, implementing service-to-service authentication, audit logging, and common security services to facilitate secure access across all Harness modules, including the AppSec Platform, CI/CD, and other offerings.The Foundations team acts as the security cornerstone for Harness’s multi-product platform, providing vital authentication and authorization services that guarantee secure, scalable access management throughout the software delivery lifecycle.

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.

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 at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a diverse array of vehicle platforms and applications. With over ten million rider-only trips and experience from more than 100 million miles driven autonomously on public roads, Waymo is shaping the future of transportation.Our simulation environment is among the most sophisticated ever created, utilizing deterministic logic, physical dynamics, and cutting-edge Generative AI to establish a training ground for the Waymo Driver. The Simulator Evaluation team tackles the challenging question: How can we mathematically validate that a virtual world is perceptibly 'real'?We are on the lookout for a Staff Software Engineer who will take on the role of Technical Architect in this field. You will operate at the intersection of software engineering and AI, ensuring our simulated environments—whether governed by explicit rules or foundational models—accurately reflect reality.In this Staff-level position, you will report directly to a Senior Staff Software Engineering Manager and function as a Technical Lead, connecting intricate technical metrics with overarching product strategies.Your Responsibilities Will Include:Architecting Evaluation Standards: Define the 'Definition of Done' for simulation realism, anticipating product objectives (e.g., operational capabilities in snow or highway driving) and designing the evaluation roadmap to ensure our simulation fidelity evolves in alignment with onboard requirements.Acting as the System Critic: Create comprehensive mathematical frameworks to validate our hybrid virtual world, determining the balance between diverse evaluation needs—from verifying logical rules and dynamics to assessing the distribution quality of generative AI models.Building at Scale: Lead the development of large-scale, extensible evaluation platforms (in C++/Python), ensuring our metric pipelines are robust distributed systems capable of delivering clear, reproducible insights on petabytes of data.Providing Strategic, Cross-Functional Leadership: Serve as the technical liaison across various organizations, closely collaborating with AI research and other simulation teams. The evaluation workflows you design will facilitate rapid innovation and inform research trajectories.