Staff Software Engineer – Customer Experience Intelligence (CXI)

About ID.me ID.me provides a digital identity wallet that helps users securely verify their identity online. Over 152 million people use ID.me to simplify logins and avoid repeated identity checks across platforms. The platform supports 20 federal agencies, 45 state government agencies, and more than 70 healthcare organizations. Over 600 consumer brands rely on ID.me to validate user segments and build authentic connections. ID.me’s technology meets federal authentication standards set by the Commerce Department and is recognized as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. The company’s mission is to make secure digital identity accessible to everyone. Learn more at https://network.id.me/. Role Overview ID.me is hiring a Staff Software Development Engineer for the Person API team. This role focuses on designing and building the core services that define and manage individual identities within the ID.me platform. The position is based in Mountain View, California or McLean, Virginia, and is full-time, onsite. What You Will Do Design and build data models, APIs, and backend systems for person creation, attributes, and profiles Architect and scale the Person platform to ensure security, consistency, and high performance Develop and maintain APIs and services that serve as the authoritative source for personal data Work closely with teams focused on identity, verification, and platform to deliver scalable, reliable APIs Support the integrity and interoperability of digital credentials used by millions of users and trusted partners Location This position is based in Mountain View, CA or McLean, VA.

About ID.me ID.me builds digital identity verification tools, including a digital identity wallet that helps individuals prove who they are online. More than 152 million people use ID.me to simplify logins across different services, reducing the need for repeated identity checks. Our platform supports 20 federal agencies, 45 state government agencies, and over 70 healthcare organizations. In addition, more than 600 consumer brands use ID.me to connect with their communities and recognize service. Our technology meets federal authentication standards set by the Commerce Department and is recognized as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me aims to make secure digital identities accessible to everyone. Learn more at https://network.id.me/. Role Overview: Software Development Engineer III – Credential API ID.me seeks a Software Development Engineer III to join the Credential API team in Mountain View, CA. This full-time role focuses on designing and building the credentialing platform, which includes APIs for issuing, retrieving, and managing validated credential bundles. These bundles may include verified passports, driver's licenses, validated domains, and facial recognition credentials for both individuals and organizations. What You Will Do Design and develop backend services and APIs that power the core of ID.me's identity trust layer. Work on secure, scalable, and high-performance systems that support millions of users and trusted partners. Collaborate with teams focused on identity, verification, and platform development to ensure interoperability and integrity of digital credentials. Location This position is based in Mountain View, California.

Join Waymo as a Senior Software Engineer focusing on Eval Authoring APIs. In this pivotal role, you will design and implement APIs that will enhance our evaluation capabilities, supporting our mission to make self-driving technology safe and accessible. Collaborate with a diverse team of engineers and researchers to deliver innovative solutions that push the boundaries of autonomous driving.

Join our innovative team as a Staff Software Engineer specializing in Android development. In this crucial role, you will collaborate with cross-functional teams to design, develop, and enhance cutting-edge mobile applications that impact millions of users globally. Your expertise in Android technologies will drive the success of our projects and contribute to our mission of connecting professionals.

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.

ECL is leading a technological revolution with the launch of the world’s first hydrogen-powered, off-grid green data center, achieving an impressive uptime of 99.999%. As the demand for high-performance data centers grows to support AI and machine learning, ECL is at the forefront of delivering innovative solutions. Our cutting-edge modular architecture allows for scalable construction projects ranging from 1-2MW, designed to cater to the needs of larger data center installations. Join us and contribute to a completely green power generation system amidst the rapid advancements in artificial intelligence and machine learning.This is a unique opportunity to be part of a groundbreaking team poised for significant growth. ECL was founded by industry veterans from renowned companies such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy.

Harness is at the forefront of revolutionizing software delivery with its cutting-edge AI Software Delivery Platform, founded by visionary technologist Jyoti Bansal, the mastermind behind AppDynamics, which was acquired by Cisco for a staggering $3.7 billion. With approximately $570 million in raised funding and a valuation of $5.5 billion, we are supported by premier investors such as Goldman Sachs, Menlo Ventures, IVP, and Citi Ventures. In an era where AI is expediting code development, the critical challenges now lie in phases post-coding, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness is committed to addressing these challenges by integrating AI and automation into the software delivery lifecycle, empowering teams to deliver software more efficiently while upholding security and governance throughout.Our platform, driven by Harness AI and the Software Delivery Knowledge Graph, employs intelligent automation and deep context across the software delivery lifecycle, ensuring governance and policy-driven controls are seamlessly integrated.Over 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, managing an impressive $2.8 billion in cloud expenditure. Our clients, including renowned names like United Airlines, Morningstar, and Choice Hotels, have experienced accelerated release times by up to 75%, reduced cloud expenses by as much as 60%, and achieved a tenfold increase in DevOps efficiency.With a global workforce spanning 14 offices across 25 countries, Harness is shaping the future of AI-driven software delivery. Join us and contribute to our mission!Position SummaryThe Harness Supply Chain Security (SCS) module safeguards each phase of the software delivery lifecycle by securing builds, artifacts, and dependencies from inception to deployment. It offers comprehensive visibility, policy enforcement, and real-time risk detection, enabling engineering teams to ensure software integrity, prevent tampering, and comply with evolving supply chain security regulations. As part of this dynamic team, you will work on a rapidly growing product that integrates seamlessly with the broader Harness platform, unifying software delivery and developer tools into one cohesive experience. This is a high-impact role addressing pressing challenges faced by modern DevOps and platform engineering teams.

Join Moveworks as a Staff Software Engineer and play a pivotal role in enhancing our Core Platform. You will collaborate closely with cross-functional teams to design, develop, and implement innovative software solutions that drive efficiency and improve user experiences.

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.

Join Our Innovative Team and Help Shape the Future of Technology!Are you eager to tackle an exhilarating challenge in the development and maintenance of advanced infrastructure? At Kognitos, we're on the lookout for enthusiastic engineers like you to enhance our team and create a lasting impact.As a Staff Software Engineer, your key responsibilities will include:Building and sustaining our infrastructure leveraging Python and AWS Serverless technologies.Working collaboratively with cross-functional teams to design and deploy scalable, robust systems, including microservices and cloud-based architectures.Guaranteeing the reliability, scalability, and performance of our backend systems through proactive monitoring and optimization.Designing and managing database schemas and queries to support application features.Developing unit and integration tests to uphold code quality and reliability.Continuously refining our software development processes by integrating best practices and contemporary methodologies such as Agile, DevOps, and CI/CD.Diagnosing and resolving production issues to minimize downtime and ensure seamless operations.Engaging in architectural discussions and contributing to the formulation of technical solutions and best practices.Keeping abreast of the latest technologies and trends in software development to propose enhancements to our technology stack.

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.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from transforming the future of transportation to expediting medical breakthroughs. We achieve this by creating and managing the most advanced data and AI infrastructure platform, enabling our customers to extract deep insights from data to drive business success. Founded by engineers with a strong customer focus, we eagerly embrace every opportunity to confront technical challenges, whether it’s designing next-generation UI/UX for data interfacing or scaling our services and infrastructure across millions of virtual machines. And we’re just getting started.The Logging Platform team is pivotal in developing scalable and efficient logging solutions that enhance observability across all Databricks services. As a Staff Software Engineer, you will spearhead the evolution of our logging infrastructure, empowering engineers throughout the company to gain profound insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.

About UsAt Aurora, our mission is to revolutionize transportation through safe and efficient self-driving technology, making it accessible to everyone.Explore the Aurora Driver and discover how we are paving the way for a new era in mobility and logistics.Join our team of dedicated professionals at Aurora, where you will engage in complex challenges and continuously enhance your expertise in a collaborative atmosphere. For updates, visit aurora.tech or connect with us on LinkedIn.We are on the lookout for a skilled and driven Staff Software Engineer to spearhead a new team focused on enhancing and modernizing our Offline Testing Infrastructure (OTI). OTI serves as a vital middle-layer infrastructure that supports our PR testing, test creation, and Verification & Validation (V&V) processes.This role is critical, with a strong emphasis on increasing the efficiency of our engineering teams and ensuring the reliability of our release cycles. The ideal candidate will build and lead a small, dedicated team to transition OTI to a stable, high-performance, and scalable platform.Responsibilities:Team Leadership: Act as the technical lead for the OTI team, guiding the strategic vision, execution, and long-term stability of our core infrastructure.Testing Ecosystem Development:Design a next-generation offline testing architecture that meets diverse team requirements, minimizes redundancy, and fosters collaboration across the organization.Collaborate with Test Creation and Test Drive teams to...

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.

About UsNuro is a pioneering self-driving technology firm dedicated to making autonomous driving a reality for everyone. Established in 2016, we are on a quest to develop the world's most scalable self-driving solution, integrating advanced AI with high-quality automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate diverse applications, including robotaxis, commercial fleets, and personal vehicles. With extensive experience gained from multiple self-driving deployments, Nuro provides automakers and mobility platforms a clear pathway to achieve commercial-scale autonomous vehicles, fostering a safer, more connected future.Role OverviewThe Routing Team is responsible for creating essential services that guarantee the Nuro Driver™ reaches its destinations in a safe and efficient manner. We are dedicated to continuously enhancing our routing engine to optimize route calculations, deliver precise ETAs, and manage scalable traffic for all journeys, adapting to our expanding business and evolving mapping infrastructure.Key ResponsibilitiesDevelop and scale backend systems and onboard modules for the Routing team, including designing microservices, optimizing routing algorithms, analyzing road network graphs, and establishing monitoring and analytics systems.Collaborate with product, strategy, and operations teams to create innovative user experiences and outline product strategies and roadmaps.

Our Mission: At Drivemode, we believe that the future of driving technology should be revolutionary. We envision vehicles that are immensely smarter, safer, and more interconnected with the world. Our mission is to transform this vision into reality. Since our partnership with Honda in 2019 — marking their first startup acquisition — we are dedicated to pioneering the future of battery electric vehicles (BEVs) for millions globally.Why Join Drivemode: As Honda's innovative software and user experience division, Drivemode is at the forefront of enhancing digital experiences for next-generation electric vehicles. Joining our dynamic startup atmosphere offers the chance to engage in meaningful work, competitive compensation, and outstanding benefits. By being part of our team, you'll play a vital role in reshaping how people interact with vehicles while addressing global environmental challenges. This is a unique opportunity to lead innovation and support Honda's achievements in the EV sector.Role Overview: In this role, you will help shape the architecture and technical vision for a suite of companion apps and backend services tailored for the latest electric vehicles from Honda and Acura, which were showcased at CES this year. The primary development platforms will include Android and iOS.We seek an individual who takes ownership of product features and quality, is eager to explore new technologies, and is willing to go above and beyond to achieve success, even if it means stepping outside of typical responsibilities.

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.