Senior Software Engineer - Attribution

Nuro builds self-driving technology, aiming to make autonomy widely available. Since 2016, the company has combined advanced AI with automotive-grade hardware to create the Nuro Driver™, a scalable autonomous system. Nuro’s technology supports robotaxis, commercial fleets, and personal vehicles, and is licensed to automakers and mobility platforms for commercial-scale adoption. The Senior Software Engineer - Cloud Efficiency & Cost Optimization position is part of the Core Infrastructure group in Mountain View, California. This team works closely with engineering partners across Autonomy, ML Platform, Simulation, Perception, Behavior, Mapping, BATES, and Release Engineering. Nuro’s cloud infrastructure supports daily operations, and its efficiency directly affects how many miles are driven, models are trained, and scenarios are validated for each dollar spent. The systems built in this role impact thousands of jobs, pipelines, and services throughout the company. What you will do Lead cloud efficiency projects from start to finish, identifying high-impact opportunities across storage, compute, data, and ML infrastructure. Design systems that build sustainable efficiency into the platform. Promote cost-aware system design by working with teams during architecture and design reviews. Ensure new systems prioritize efficiency in storage, retention, data layout, query patterns, compute sizing, and reservation strategies. Optimize large-scale workloads by profiling and tuning tasks such as BigQuery analytics, data pipelines, simulation storage, ML training, and GKE services to improve throughput and reduce costs. Build cost observability and attribution tools, including real-time visibility, anomaly detection, and granular attribution by SKU, bucket, workload, and team, to quickly catch and address issues. Remove systemic waste by automating lifecycle management and tiering, optimizing compute sizing, and cleaning up underutilized or orphaned resources across the infrastructure. Drive cross-team optimization by collaborating with engineering groups to implement and maintain cost and efficiency improvements across Nuro.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world’s most reliable 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™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver is the driving force behind our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips completed, we have amassed experience driving autonomously over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.The Simulator Team at Waymo creates advanced simulations of realistic environments for testing and training the Waymo Driver. We leverage cutting-edge machine learning algorithms to assess and improve the Waymo Driver's performance. As our simulation platform evolves, this technical leadership position will oversee the strategy for the entire Simulator software stack, ensuring it scales with emerging simulation technologies and Waymo’s growth. Your responsibilities will encompass low-level optimization through to high-level configuration, all aimed at enhancing resource utilization (CPU/RAM/TPU/GPU). You will spearhead the Simulator Platform's efficiency initiatives and represent the team in broader performance-related projects within Waymo.In this hybrid role, you will report to a Director of Software Engineering.

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.

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

About NuroNuro is at the forefront of self-driving technology, driven by our mission to make autonomous vehicles accessible to everyone. Established in 2016, we are developing the most scalable driver, integrating advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven technology in self-driving deployments, we provide automakers and mobility platforms a clear pathway to achieving commercial-scale autonomous vehicles, fostering a safer, more connected future.Your RoleWe invite you to join our expanding Infrastructure team as a Senior Software Engineer specializing in Cloud Infrastructure. In this role, you will:Engage collaboratively across teams at Nuro to ensure alignment with customer needs.Design and implement high-quality, scalable solutions for infrastructure-as-code, application deployment, production system monitoring, health status tracking, and performance enhancements.Develop automation tools to enhance developer experience, infrastructure reliability, and security.

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.

Join Waymo as a Staff Software Engineer specializing in Simulation Capacity Optimization. In this pivotal role, you will leverage your expertise in software engineering and simulation technology to enhance our autonomous vehicle systems. Your contributions will be vital in optimizing the performance and efficiency of our simulations, ensuring that our vehicles are equipped to navigate the complexities of real-world environments.

Join Nuro as a Senior Software Engineer focused on GenAI Infrastructure and Agent Systems. In this pivotal role, you will leverage cutting-edge artificial intelligence technologies to enhance engineering efficiency across our platforms. You will be responsible for designing and implementing scalable systems that drive automation and optimization in our engineering processes.

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.

Who We AreGatik is at the forefront of transforming autonomous middle-mile logistics, pioneering a transportation-as-a-service (ATaaS) model designed to enhance B2B supply chains. Our commitment to safety and efficiency is evident as we streamline freight movement and mitigate congestion. Since our groundbreaking launch of the world’s first fully driverless commercial transportation service with Walmart in 2021, we have established a strong presence in major markets such as Texas, Arkansas, and Ontario, Canada, utilizing our Class 3-7 autonomous trucks to drive innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is expertly engineered for secure and efficient freight transport between pick-up and drop-off points on the middle mile. Gatik Carrier™ integrates cutting-edge software and hardware, ensuring seamless integration into our customers’ logistics operations across both highway and urban environments.About The RoleWe are on the lookout for a Senior Cloud Infrastructure Engineer who will be responsible for designing and managing the expansive compute and data infrastructure that supports our autonomous driving systems. As researchers focus on developing perception, planning, and world models, you will play a crucial role in establishing the high-performance systems and pipelines that enable their success. Your work will be pivotal in supporting our AI platform by ensuring that multi-GPU clusters, distributed training frameworks, and automated workflows are scalable, resilient, and cost-effective.This position requires you to be onsite at our Mountain View, CA office five days a week!

At Waymo, we are pioneering the future of autonomous driving technology with an unwavering commitment to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has always been on engineering the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service, having completed over ten million rider-only trips and covering more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.This role in Software Engineering is crucial as we develop the intelligent systems that allow the Waymo Driver to navigate complex environments, make sound decisions, and ensure safe transportation for our users. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a dedicated software engineer or researcher with a passion for Level 4 autonomous driving, we are eager to meet you.In this hybrid role, you will report directly to a Technical Lead Manager.

Harness is a leading AI-driven Software Delivery Platform, founded by technologist and entrepreneur Jyoti Bansal, who is also the co-founder of AppDynamics, which was acquired by Cisco for $3.7 billion. With approximately $570 million raised in funding, Harness is valued at $5.5 billion and is supported by top-tier investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. In today's fast-paced technological landscape, as AI accelerates code generation, the major challenges now lie in testing, deployment, application security, reliability, compliance, and cost optimization. Harness utilizes AI and automation across the software delivery lifecycle, ensuring teams can release software more efficiently while upholding security and governance.Our powerful Harness AI and Software Delivery Knowledge Graph empower teams with deep contextual insights and intelligent automation throughout the software delivery process, embedding governance and policy-driven controls within the platform.In the past year alone, Harness has facilitated over 185 million deployments, executed 82 million builds, conducted 18 trillion feature flag evaluations, completed 8 million security scans, optimized 9.1 billion tests, and safeguarded 3 trillion API calls, managing $2.8 billion in cloud expenditures. This has enabled notable customers such as United Airlines, Morningstar, and Choice Hotels to enhance release speeds by up to 75%, decrease cloud expenses by as much as 60%, and achieve 10x DevOps efficiency.With a diverse global team across 14 offices in 25 countries, Harness is at the forefront of transforming AI software delivery, and we are on the lookout for outstanding talent to accelerate our growth.

Your Role:Join our dynamic DevOps team at Moveworks, where you'll play a pivotal role in developing and scaling our AI cloud infrastructure and developer platform. As we rapidly expand, your expertise will be essential in creating and maintaining robust foundational services and frameworks, enabling our engineering teams to deliver customer-facing features swiftly and efficiently.We are committed to speed and innovation, tackling complex engineering challenges while delivering exceptional value to our clients. You will collaborate closely with machine learning, search, product, data, and full stack teams to craft elegant solutions that meet our evolving needs. This is a unique opportunity to contribute significantly to one of the fastest-growing AI startups in the industry.Engage with various teams including platform, machine learning, search, data, and frontend to assess their DevOps and infrastructure requirements, influencing our DevOps roadmap and spearheading project execution.Architect, build, and oversee the Moveworks cloud infrastructure across multiple regions and clouds, ensuring optimal security, scalability, performance, observability, resilience, and cost-efficiency.Develop and manage CI/CD pipelines utilizing infrastructure as code and full automation for provisioning and managing the Moveworks application stack across diverse environments.Collaborate with our security team to enhance the infrastructure's security posture.

As a Senior Staff Software Engineer specializing in Compute Infrastructure, you'll play a pivotal role in designing, building, and optimizing our cloud infrastructure systems. Your expertise will help drive performance and scalability, ensuring our platforms support the ever-increasing demand for data processing and storage. You will work collaboratively with cross-functional teams to develop innovative solutions that enhance our technology stack.

Who We Are Nuro is a pioneering self-driving technology company dedicated to democratizing autonomy for everyone. Established in 2016, we are developing the world’s most scalable driver, integrating advanced AI with automotive-grade hardware. Nuro licenses its flagship technology, the Nuro Driver™, enabling a diverse range of applications from robotaxis and commercial fleets to privately owned vehicles. With a proven track record in self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, fostering a safer, more interconnected future. About the Role We are seeking talented senior engineers to enhance and scale Nuro’s expansive computing infrastructure within cloud and data centers. This infrastructure is vital for numerous essential business applications, including machine learning data pipelines, data discovery, simulation, and time-series multimedia log processing. In this role, you will design and implement a scalable, efficient, and reliable system that connects fundamental infrastructure with high-level job requests, making large-scale computations more accessible for autonomy and other infrastructure engineers. About the Work Design and build scalable, dependable frameworks, such as BATES, to orchestrate and manage large-scale workloads in both cloud and on-premise clusters. Collaborate with application teams across Nuro to develop robust, generic tools and APIs that expedite the creation of mission-critical applications. Enhance workload efficiency and turnaround time by deeply understanding application contexts, identifying inefficiencies and bottlenecks, prioritizing tasks, and implementing innovative solutions. About You You possess extensive experience in creating and developing large-scale distributed applications (e.g., Kubernetes). You are proactive in recognizing opportunities for system improvements and driving positive transformations. You have the capability to translate high-level requirements into detailed, cohesive system designs. You are eager to gain a deep understanding of application logic across Nuro and are passionate about going the extra mile. You are highly collaborative and dedicated to delivering the best possible user experience. You embody startup spirit: your track record shows you thrive in the dynamic, often ambiguous environment of a startup.

Join Databricks, where we are dedicated to empowering data teams to tackle the world's most challenging problems, from enhancing AI research to driving next-generation applications. We achieve this by constructing and managing the premier data and AI infrastructure platform globally. Founded by engineers and fueled by a commitment to our customers, we take on the most challenging technical tasks, whether it's scaling distributed systems across multiple clouds or ensuring reliable, low-latency communication between thousands of services. And this is just the beginning. As a Senior Software Engineer on the Application Traffic team, you will design and develop the systems that facilitate Databricks’ service-to-service communication across thousands of clusters in a multi-cloud environment. You will also contribute to creating abstractions that simplify networking complexities for product teams, ensuring seamless connectivity, discovery, and reliability by default.

About CyngnLocated in the heart of Mountain View, CA, Cyngn Inc. is a publicly-traded leader in autonomous technology. We specialize in deploying self-driving industrial vehicles such as forklifts and tuggers across factories, warehouses, and various facilities throughout North America. We are seeking innovative, driven, and experienced leaders to join our team and spearhead advancements in this transformative field. If you're passionate about building, tinkering, and collaborating with a team of dedicated colleagues, Cyngn is your ideal workplace.Dynamic Work Environment.With a tight-knit team of under 100 employees, Cyngn operates with the agility of a startup while being backed by the stability of a publicly-traded company. This unique combination allows our employees to work closely with mentors and gain access to the liquidity of our stock, fostering both professional and financial growth.Real Impact, Real Solutions.At Cyngn, our autonomous vehicles are not merely concepts—they are actively deployed with real clients. Your contributions will create a direct and visible impact on our clients' operations.A Culture of Collaboration.We pride ourselves on being a diverse and welcoming team of sharp thinkers and kind individuals. Collaboration and trust are the cornerstones of our creative environment, where every perspective is valued and drives our innovative solutions.Role Overview:As the Senior Backend Software Engineer for our Software as a Service (SaaS) platform team, you will play a pivotal role in developing Cyngn's state-of-the-art fleet management system for autonomous industrial vehicles. You will collaborate closely with product and engineering teams to design, implement, deploy, and maintain a scalable, high-performance cloud-based solution that enables real-time control and monitoring of autonomous vehicles in operational settings. Your expertise will be vital in helping our customers enhance their automated workflows and maximize operational efficiency.

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.