Software Engineer - Editor at Descript | San Francisco, CA

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, we have consistently focused on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed, we have driven autonomously over 100 million miles on public roads and conducted simulations totaling tens of billions of miles across 15+ U.S. states.The Planner Evaluation team tackles a pivotal challenge in autonomous driving: assessing and enhancing the quality of software that operates the vehicle. We seek passionate and experienced software engineers and data scientists who are data-driven and eager to refine how we assess and characterize modifications to our onboard software stack (including Planner and Perception). If you are enthusiastic about autonomous vehicles and adept at utilizing complex data to influence decision-making, we invite you to apply for this exciting opportunity!

Waymo is at the forefront of autonomous driving technology, dedicated to being the world's most trusted driver. Originating from the Google Self-Driving Car Project launched in 2009, Waymo is committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent the tragic loss of lives due to traffic incidents. Our innovative Waymo Driver powers a fully autonomous ride-hail service and is adaptable across various vehicle platforms and use cases. With over ten million rider-only trips, our technology has autonomously navigated more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Multiverse team at Waymo is essential for the comprehensive evaluation of our autonomous driving software. We delve beyond the past to explore potential scenarios using real-world tests and counterfactual simulations. This rigorous approach ensures the Waymo Driver's safety and reliability before it operates on public roads. Join our Driver Understanding and Evaluation (DUE) group to craft the metrics that will shape the future of autonomous mobility.

Waymo, a leader in autonomous driving technology, is 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 while significantly reducing traffic-related fatalities. With over ten million rider-only trips and a remarkable track record of driving over 100 million miles autonomously on public roads, Waymo operates its fully autonomous ride-hail service across more than 15 U.S. states.Key Responsibilities:Analyze financial data to ensure accurate recording and reconciliation of financial activities.Review account reconciliations and propose enhancements based on business needs.Oversee the month-end closing financial and accounting processes.Manage multiple Financial Statement transactions throughout each monthly close cycle.Develop operational processes tailored to business requirements.Offer solutions for issues identified during the capitalization process.Identify and address control gaps in vehicle capitalization.Facilitate control processes, including monthly journal entries and reconciliations, along with contractual agreement reviews.Ensure full compliance with all tax and local entity regulations.Collaborate with cross-functional teams (Supply Chain, FP&A, BSE, and tax) to provide accounting guidance on business initiatives.Quickly and accurately resolve complex technical accounting issues.Advise on required government financial reports; review, analyze, and interpret financial and budgetary reports.Partner with internal teams to define, establish, and implement robust accounting systems, processes, and procedures.

Join Waymo's team as a Risk Management Engineer where you will play a pivotal role in enhancing the safety and reliability of autonomous driving technology. You will collaborate with cross-functional teams to identify, analyze, and mitigate risks associated with our cutting-edge projects.

Join Waymo, the leader in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our mission is to enhance mobility and save lives by creating the Waymo Driver—The World’s Most Experienced Driver™. This cutting-edge technology underpins our fully autonomous ride-hail service, which has successfully completed over ten million rides, backed by over 100 million miles of real-world driving and extensive simulation across 15+ states.As a Claims Advocate at Waymo Insurance, you will be at the forefront of addressing emerging risks linked to our transformational driving technology. You will collaborate with experts in legal, public policy, safety, and security to manage potential risks and establish robust insurance frameworks. Your role will involve evaluating insurance trends, product liability, and related risks, ensuring our users are well protected as we expand our services. Additionally, you will partner with teams across business development, product partnerships, and operations to safeguard our interests against existing and new risks.This hybrid role reports to the Claims Manager within the Risk & Insurance Team.

Waymo seeks a Trade Compliance Specialist to help ensure its autonomous vehicle operations in San Francisco and Mountain View comply with all relevant trade laws. This position monitors import and export activities, making sure every step aligns with current regulations. Role overview This role focuses on managing compliance with trade regulations, supporting both locations as Waymo continues to develop its technology. The specialist will help maintain high regulatory standards and contribute to the company’s commitment to safe transportation. Key responsibilities Monitor and manage compliance with all import and export laws affecting Waymo’s operations Support the company’s adherence to trade regulations as autonomous vehicle projects evolve Work to uphold regulatory standards and help advance Waymo’s mission to improve road safety Location This position is based in San Francisco, CA and Mountain View, CA.

Join Databricks as a Financial Analyst within our Sales Finance team, part of the FP&A organization. In this role, you'll work closely with the Senior Manager of Finance to drive strategic financial insights that will optimize our investments for long-term growth.Your responsibilities will include serving as a trusted advisor to Sales and Finance leadership, delivering actionable insights and recommendations that foster sustainable growth. You will enhance forecast reliability, improve corporate reporting, establish robust processes, and scale our systems to support business expansion. Key tasks include analyzing product usage trends, tracking key performance metrics, and collaborating on executive-level presentations.

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, our focus has been on 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 various vehicle platforms and use cases. To date, the Waymo Driver has successfully completed over ten million rides, driven more than 100 million miles autonomously on public roads, and conducted tens of billions of miles in simulation across more than 15 U.S. states.As part of our mission, Waymo's Data Science team plays a crucial role in ensuring the safety and reliability of our autonomous driving technologies. By utilizing data analysis and statistical methods, we evaluate and enhance the Waymo Driver, concentrating on critical aspects such as reliability, driving quality, and safety. As a Business Intelligence Analyst, you will contribute to the development of a robust data infrastructure that supports key reporting and analytics for our Data Science team.

Join Waymo for Business as a Senior Fullstack Engineer, where you'll play a pivotal role in shaping the future of transportation through innovative technology. In this dynamic position, you'll work collaboratively with cross-functional teams to design, develop, and maintain scalable software solutions that power our autonomous vehicle initiatives.

About CartesiaAt Cartesia, we are on a mission to create the next generation of artificial intelligence—smart, interactive systems that function seamlessly in any environment. Currently, the most advanced models struggle to process and analyze extensive streams of audio, video, and text over extended periods—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—especially when integrated directly on devices.We are at the forefront of developing the model architectures that will enable this innovation. Our founding team, which originated from the Stanford AI Lab, is responsible for the creation of State Space Models (SSMs), a groundbreaking approach for training efficient, large-scale foundational models. Our team merges deep technical knowledge in model development and systems engineering with a product engineering group focused on design, allowing us to create and deliver pioneering models and user experiences.Supported by top-tier investors such as Index Ventures, Lightspeed Venture Partners, and others, along with guidance from industry-leading advisors and over 90 angel investors, we are well-equipped to reshape the landscape of AI.About the RoleWe are seeking a skilled Software Engineer to join our team and help propel our vision of real-time, multimodal intelligence.Your ImpactDevelop and implement a low-latency, scalable, and dependable model inference and serving framework for our innovative SSM foundational models.Collaborate with our research and product engineering teams to translate cutting-edge research into extraordinary products.Establish robust, high-quality data processing and evaluation infrastructure for training foundational models.Enjoy significant autonomy in shaping our product direction and influencing how advanced AI technologies are utilized across various devices and applications.What You BringGiven the complexity of the challenges we tackle, we prioritize strong engineering capabilities at Cartesia.Proficient engineering skills with the ability to navigate intricate codebases and monorepos.A keen eye for detail, ensuring the production of clean, maintainable code.Adaptability to new technologies and quick proficiency with our tech stack, which includes Go and Python for backend development and Next.js for frontend.Experience in building large-scale distributed systems that require high performance, reliability, and observability.

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 that are lost in traffic accidents. The Waymo Driver not only supports our fully autonomous ride-hail service but can also be adapted across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive autonomous driving experience of over 100 million miles on public roads, our technology is revolutionizing transportation across 15+ U.S. states.Your responsibilities will include:Designing, developing, modifying, and testing cutting-edge software for self-driving vehicle applications and associated products at Waymo.Building scalable machine learning systems to accurately model complex behaviors across various agents, environments, and scenarios.Utilizing both C++ and Python to seamlessly integrate machine learning models into our simulation pipelines.Maintaining, upgrading, and supporting existing code, as well as participating in the redesign and reimplementation of Waymo's software components.Creating automated workflows and applications to support Waymo’s self-driving software development and releases.Leading the development of ultra-realistic simulations through advanced machine learning techniques, including generative models.Providing vital support and guidance to release managers and product engineers to enhance code reliability, test infrastructure, and production systems.Developing software tools and frameworks to facilitate the maintenance and improvement of Waymo's software infrastructure, including monitoring and alerting systems.Formulating processes and strategies aimed at optimizing self-driving system efficiency and safety.Analyzing complex technical data and formulating strategic recommendations to resolve advanced technical challenges.Driving innovation in simulation realism to bolster the safety and performance of the Waymo Driver.Collaborating with AI research teams to transition state-of-the-art methodologies into robust, production-ready solutions.

About Waymo Waymo began as the Google Self-Driving Car Project in 2009 and focuses on building autonomous driving technology. The company’s core product, the Waymo Driver, powers a fully autonomous ride-hailing service and adapts to different vehicle platforms and use cases. Waymo’s vehicles have completed over ten million rider-only trips and driven more than 100 million miles autonomously on public roads, with additional simulation experience across more than 15 U.S. states. The goal: safer mobility and greater access for all. Role Overview: Software Engineer, Strategic SWE Reserve The Software Engineering team at Waymo designs and builds the software that enables the Waymo Driver to perceive its environment, make real-time decisions, and safely transport passengers. Engineers here work on complex challenges in robotics, perception, decision-making, and deep learning. Collaboration with hardware and systems engineers is a key part of the role. This position suits software engineers or researchers interested in advancing Level 4 autonomous driving technology. Locations Mountain View, California, USA San Francisco, California, USA

About HandshakeHandshake is the premier career network tailored for the AI-driven economy. With a robust platform connecting 20 million knowledge workers, 1,600 educational institutions, and 1 million employers—including every single Fortune 50 company—Handshake is at the forefront of career discovery, hiring, and upskilling. Our platform supports everything from freelance AI training roles to internships and full-time positions. This unique value proposition has fueled our remarkable growth, with expectations to triple our annual recurring revenue (ARR) by 2025.Why You Should Join Handshake Now:Play a pivotal role in shaping the future of careers within the AI economy, making an impact that resonates with your community.Collaborate with elite AI labs, Fortune 500 partners, and esteemed educational institutions.Join a talented team with leadership drawn from industry giants such as Scale AI, Meta, xAI, Notion, Coinbase, and Palantir.Help build a rapidly growing business projected to generate billions in revenue.About the RoleAs a Software Engineer at Handshake, you will be instrumental in developing products and systems that drive our core user experiences—from search and discovery to onboarding and beyond. You will work across the entire tech stack, delivering features that significantly enhance how millions of users discover opportunities, connect with employers, and embark on their career journeys.Your role will involve close collaboration with product managers, designers, and fellow engineers to create seamless, end-to-end experiences in a dynamic, mission-driven environment. Whether you're engineering AI-enhanced features, scaling backend systems, or developing user-friendly frontends, your contributions will have a tangible impact on our user base at scale.Location: San Francisco, CA | In-office 5 days a weekDesign and implement scalable full-stack systems that support essential user journeys, including search, discovery, matching, and onboarding.Develop and refine product features across both frontend and backend, ensuring a balance between speed and code quality.Construct backend APIs, asynchronous workflows, and frontend experiences that are reliable, scalable, and user-centric.Work closely with product managers and designers to transform requirements into polished, comprehensive user experiences.Write clean, maintainable code while actively participating in code reviews and upholding engineering best practices.Identify and troubleshoot issues related to system reliability, user flows, and performance.

Waymo is a pioneering company in the field 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 at the forefront of creating the Waymo Driver—The World’s Most Experienced Driver™. Our mission centers on enhancing mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With a remarkable track record of over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, our technology is supported by extensive simulation across 15+ U.S. states.Your Responsibilities:As a Software Engineer, you will design, develop, modify, and test software for cutting-edge self-driving vehicle applications. Your specific tasks will include:Creating infrastructure and frameworks to generate reliable, high-quality data for foundational models;Implementing and maintaining end-to-end data pipelines that provide essential data for foundational models;Curating and delivering diverse data sets, including nominal and rare instances, to support various machine learning tasks;Collaborating with teams focused on foundational models, perception evaluation, and ML infrastructure to integrate data generation into model training and evaluation processes;Working alongside production teams to ensure the successful deployment of foundational models, while being accountable for infrastructure reliability, data availability, and data quality.

At Hover, we empower individuals to design, enhance, and safeguard the properties they cherish. Our innovative AI technology, built on over a decade of real estate data, provides answers to pivotal questions like, “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals depend on Hover for accurate, fully-measured, and interactive 3D models of any property, all achievable through a quick smartphone scan.Driven by curiosity and purpose, we are committed to serving our customers, communities, and one another. We believe that diverse perspectives yield the best ideas and are proud to foster an inclusive, high-performance culture that promotes growth, accountability, and excellence. Supported by renowned investors such as Google Ventures and Menlo Ventures, and trusted by industry leaders like Travelers, State Farm, and Nationwide, we are revolutionizing how people perceive and engage with their environments.Why Join Hover?We are transforming the construction industry by providing modern tools for design, documentation, and project estimation—areas that have long been neglected by software solutions. We seek a Senior Software Engineer excited to tackle real-world challenges and deliver software that aids thousands of professionals in designing, scoping jobs, planning projects, and achieving superior results for homeowners.In this role, you will utilize your strong technical skills, product insight, and collaborative spirit. You will take ownership of features from concept through to user delivery, influencing our development approach and enhancing your leadership abilities beyond coding. This position is perfect for someone ready to embrace greater responsibility, drive results with cross-functional teams, and shape the technical roadmap for a high-impact group.Your ContributionsAs a Senior Software Engineer, you will work across the stack—primarily using Ruby on Rails, React, and GraphQL—with opportunities to contribute to React Native mobile applications. You will build robust, scalable systems that power Hover's core product experiences.You will lead projects and features from inception to launch, covering everything from technical discovery and design to iteration and enhancement. Your contributions will impact customer-facing workflows, including onboarding, interactive design tools, inspections, and transactional systems, as well as platform capabilities that ensure product consistency.From crafting polished user interfaces to modeling backend systems and designing APIs, you will influence how professionals interact with Hover throughout their workflows. You will work closely with product and design teams, enhance shared systems, and foster a positive engineering culture through mentorship and collaboration.

Join our dynamic team as a Senior Software Engineer at toma, where you will play a pivotal role in developing innovative software solutions that drive our business forward. In this position, you will collaborate with cross-functional teams to design, implement, and maintain scalable applications. Your expertise will be essential in ensuring high-quality code and streamlined processes, ultimately enhancing our product offerings.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive, ubiquitous intelligence that operates seamlessly wherever you are. Current AI models struggle to continuously process and reason over extensive streams of data, including a year’s worth of audio, video, and text. Our innovative team is developing advanced model architectures to overcome these challenges.Founded by PhDs from the Stanford AI Lab who pioneered State Space Models, we blend deep expertise in model innovation with a design-focused engineering approach. With backing from top-tier investors such as Index Ventures and Lightspeed Venture Partners, along with a network of industry-leading advisors, we are pushing the boundaries of AI.About the RoleJoin our New Horizons Evaluations team as the Evaluations Lead, where you will redefine how we measure progress in interactive machine intelligence. You will create evaluation frameworks that assess not only what models know but also how they reason, remember, and engage over time. This multifaceted role bridges research, product development, and infrastructure to establish metrics and systems that articulate the essence of “intelligence” in the next wave of AI. Ideal candidates will possess a blend of scientific rigor and technical prowess, alongside a genuine curiosity about user interactions with intelligent systems. Your contributions will be pivotal in shaping Cartesia’s model development, focusing on deeper qualities such as understanding, naturalness, and adaptability in real-world applications.Your ImpactDefine and identify essential model capabilities and behaviors for next-generation evaluations.Develop and implement comprehensive evaluation pipelines with robust statistical analysis and transparent reporting.Collaborate closely with model training and research teams to integrate evaluation systems into the model development process.Design and prototype user studies and behavioral experiments to ground evaluations in practical use.

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 prevent the tragic loss of lives in traffic accidents. The Waymo Driver powers our completely autonomous ride-hail service and can be adapted for various vehicle platforms and applications. With over ten million rides successfully completed and more than 100 million miles driven autonomously on public roads, our technology is proven across more than 15 U.S. states.Our Systems Engineering team is dedicated to integrating software and hardware systems in innovative ways. We establish high-performance benchmarks to guarantee the smooth operation of our vehicles and the safety of our passengers, while also designing and executing tests to validate this performance. We are seeking motivated individuals who thrive in a collaborative environment and are passionate about achieving results.This position operates on a hybrid work schedule and reports to a Technical Lead Manager.Your Responsibilities Include:Creating software systems that expedite onboard release validation and boost developer productivity.Collaborating across front-end and back-end technologies, performing SRE duties, and delving into test platform intricacies.Assisting both internal and external clients with test engineering and embedded software development.Embracing innovative challenges that necessitate a systems-thinking approach and experimentation.Your Qualifications:A Bachelor’s degree or equivalent practical experience.Over 3 years of experience in C++ programming.A strong desire and capability to acquire new skills as required.Preferred Qualifications:More than 3 years of experience with Python.Over 3 years of front-end experience including JavaScript or TypeScript, HTML, CSS, or similar.Familiarity with release management practices and tools.Experience in site reliability engineering and production monitoring.Proficiency in test development, automation, and engineering.

Clever is dedicated to bridging the gap in education by connecting every student globally to a vast array of learning opportunities. Our innovative identity platform supports 77% of U.S. schools and over 1 million K-12 students worldwide. As a trusted ally for educational institutions, we ensure secure and seamless access to digital learning resources, empowering students everywhere. Clever is proud to be a Kahoot! Company, headquartered in San Francisco, CA, with a far-reaching impact. Discover more about us at www.clever.com.The Infrastructure team at Clever is responsible for the engineering of our platform. This includes the development and enhancement of the internal developer platform utilized by our engineering teams to build, deploy, operate, and monitor Clever’s products. As a valued member of the Infrastructure team, you will be instrumental in creating self-service 'golden paths' and shared tools that enable teams to deliver and iterate on products swiftly and safely while ensuring adherence to reliability, security, and compliance standards. You will collaborate with engineering teams to identify pain points, enhance automation and workflows, and continuously elevate the developer experience and operational efficiency throughout the organization.