Senior Software Engineer - Vehicle Platforms (C++)

Join us as a Senior Software Engineer on the Core Platform team at Moveworks, where you will significantly contribute to the advancement of our conversational AI platform. In this role, you will have the chance to develop enterprise products that tackle real-world challenges using our cutting-edge machine learning technology. Your responsibilities will include creating foundational frameworks and services that abstract product needs, providing scalable and reliable components, and establishing an enterprise data platform tailored for diverse product requirements.Design and implement highly reliable, performant, and secure platform components.Shape the platform team's roadmap while taking ownership of the evolution of multiple platform areas.Collaborate with cross-functional engineering teams to deliver integrated solutions.Consistently meet deadlines on projects that are interdependent with other engineering efforts.Challenge existing processes and drive continuous improvement within the platform.Participate regularly in peer code reviews and engineering design discussions.

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.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

Join the innovative team at Moveworks as a Senior Software Engineer focusing on our cutting-edge Agentic AI Platform. You will play a pivotal role in developing scalable AI solutions that enhance workplace productivity and efficiency. Your expertise will help shape the future of AI-driven support systems that empower users and streamline operations.

Speechify aims to remove barriers to learning using technology that makes reading more accessible. With a user base of over 50 million, the platform converts materials like PDFs, books, Google Docs, news articles, and websites into audio. This helps people read faster and retain more. Products include apps for iOS, Android, Mac, a Chrome extension, and a web app. Speechify has earned recognition from Google as Chrome Extension of the Year and received the 2025 Apple Design Award for Inclusivity. The company operates with a fully distributed team of about 200 people. Team members include frontend and backend engineers, AI research scientists, and professionals from organizations such as Amazon, Microsoft, Google, Stripe, and Vercel. Role Overview The Software Engineer, Platform role centers on designing, building, and maintaining backend services. These services include payments, analytics, subscriptions, text-to-speech features, and external APIs. The position suits engineers who think strategically, enjoy working in a fast-moving setting, and care about delivering strong user experiences. Speechify uses a flat organizational structure. Team members are encouraged to show leadership through technical skill and consistent results. The company values work ethic, clear communication, and a drive to succeed. What You Will Do Design, develop, and maintain APIs, including public text-to-speech (TTS) APIs and internal services for payments, subscriptions, and consumption tracking. Ensure these systems meet business and scaling needs. Manage and improve the backend API landscape, focusing on performance and maintainability. Collaborate on B2B solutions, especially for enterprise client customization and integration. Work with cross-functional teams to align backend architecture with product strategy and user experience goals. Interview Process The interview process includes several technical assessments. Speechify aims to complete the process within one week.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, we have concentrated on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while preventing countless lives lost to traffic incidents. With over ten million rider-only trips completed and having driven autonomously over 100 million miles on public roads as well as tens of billions in simulations across more than 15 U.S. states, the Waymo Driver powers our fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications.The Simulator Team at Waymo is dedicated to constructing sophisticated simulations of realistic environments for the testing and training of the Waymo Driver. You will be a part of a diverse and collaborative group of machine learning (ML) engineers, software engineers, and data scientists. Our goal is to deliver industry-leading simulation solutions by utilizing advanced ML algorithms to assess and enhance the Waymo Driver's performance. We achieve this by accurately modeling the real world, which includes realistic agents (such as vehicles, pedestrians, cyclists, and motorcyclists), roadways, traffic control systems, and weather conditions, complemented by a comprehensive sensor suite including cameras, LiDAR, and radars.To amplify the fidelity, scalability, and controllability of our simulations, we leverage cutting-edge ML technologies, including large language models, foundational world models, and reconstructive methods trained on extensive datasets, alongside traditional rendering techniques.In this hybrid role, you will report directly to a Senior Staff Engineering Manager.

Harness is at the forefront of AI-driven software delivery, founded by the visionary technologist Jyoti Bansal, who previously established AppDynamics, leading to its acquisition by Cisco for an impressive $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI transforms code generation, the critical bottleneck has shifted to the post-coding phase, including testing, deployments, application security, reliability, compliance, and cost optimization. Harness leverages AI and automation to streamline these processes, empowering teams to deliver software more efficiently while ensuring security and governance throughout the software delivery lifecycle.Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep contextual insights and intelligent automation across the software delivery landscape, embedding governance and policy-driven controls throughout.In just the past year, Harness has facilitated over 185 million deployments, 82 million builds, and 18 trillion flag evaluations, alongside conducting 8 million security scans, optimizing 9.1 billion tests, and protecting 3 trillion API calls. We have effectively managed $2.8 billion in cloud expenditures, assisting clients such as United Airlines, Morningstar, and Choice Hotels in accelerating their release cycles by up to 75%, reducing cloud costs by up to 60%, and achieving a remarkable 10x improvement in DevOps efficiency.With a diverse global workforce spanning 14 offices in 25 countries, Harness is pioneering the future of AI-driven software delivery, and we are on the lookout for extraordinary talent to join us on this exciting journey.Position SummaryJoin us as a Senior Software Engineer in a dynamic, high-growth startup environment. As part of the Platform team, you will architect, design, develop, and deliver top-notch software solutions that significantly influence our product offerings.About the RoleDesign and implement scalable platform featuresCreate comprehensive software functional specifications and design documentationQuickly grasp complex systems and code, taking ownership of critical components, including their qualityCollaborate with cross-functional teams to drive innovation and efficiency

At Reliable Robotics, we're pioneering cutting-edge technology to enhance safety in aviation, ultimately saving lives. Our vision for automated aviation systems is to create a future where air transportation is safer, more efficient, and transformative in the movement of goods and people across the globe. Our team is composed of dedicated engineers with backgrounds in aerospace, robotics, and autonomous vehicles, all striving to bring this vision to life.As a Software Engineer specializing in Test Platforms, you will be instrumental in developing the tools that support our testing and verification processes, ensuring the safety and reliability of our aviation products. Additionally, you will contribute to crafting a high-fidelity training environment for our flight-test teams.Key ResponsibilitiesIn this role, you will shape integrated verification procedures to affirm that our flight application software meets rigorous design and performance standards. You will play a vital role in the release and verification processes for flight software, a core aspect of our flight test program. Collaborating in a dynamic environment, you will coordinate with various engineering teams as you develop test plans, execute tests, troubleshoot issues, and facilitate prompt resolutions. Furthermore, you will have opportunities to create automated test frameworks, build analytical test tools, and enhance our hardware-in-the-loop testing capabilities. This is a hands-on position, requiring maintenance, installation, and troubleshooting of test and simulation equipment.Basic QualificationsMinimum of 2 years of professional experience in object-oriented Python developmentMinimum of 2 years of professional experience in object-oriented C++ developmentAt least 2 years of experience in testing integrated hardware/software products or mission-critical systemsBachelor's degree in Computer Science, Computer Engineering, or a related fieldPreferred QualificationsExperience in robotics or other safety-critical software domainsFamiliarity with developing automated test cases using GitHub Actions, Jenkins, Travis CI, or similar CI/CD toolsProven capability in building or maintaining hardware-in-the-loop (HITL) test environments

About NuroNuro is a pioneering self-driving technology firm dedicated to making autonomous solutions accessible to everyone. Established in 2016, Nuro is on a mission to create the most scalable self-driving driver, integrating advanced AI with automotive-grade hardware. Our innovative technology, known as the Nuro Driver™, is licensed to support a myriad of applications, from robotaxis and commercial fleets to personal vehicles. With years of proven technology through extensive self-driving deployments, Nuro offers automakers and mobility platforms a clear pathway to fully autonomous vehicles at a commercial scale—shaping a safer, more enriched, and interconnected future.Role OverviewAt Nuro, we adopt a machine-learning-first approach to our autonomous driving technology. In such a system, the performance hinges on the quantity and diversity of training and evaluation data.Your team will play a pivotal role in enhancing autonomous driving systems by developing a scalable and reliable data infrastructure. This infrastructure will generate training and evaluation data sourced from both real-world logs and simulation logs. Furthermore, close collaboration with system engineers is essential to validate our autonomous driving systems comprehensively before deployment.Key ResponsibilitiesDesign and develop integrated, introspectable, large-scale batch and streaming data processing systems that can handle varied data relevant to evaluation.Create a robust storage system capable of managing both high volumes and diverse performance metrics.Build intuitive dashboards and reports to display evaluation outcomes, enabling clear comparisons that illustrate both advancements and setbacks.Design and implement complete end-to-end data pipelines that ensure a seamless transition from data ingestion to final consumption.Establish and sustain continuous testing and monitoring systems to uphold the integrity and reliability of our data and its associated pipelines.

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...

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has established the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has driven more than 100 million miles on public roads and tens of billions in simulations across over 15 U.S. states.The Perception team is responsible for developing systems that learn the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles (AVs). We collaborate closely with downstream teams to optimize and integrate our work into the Waymo Driver, conduct research to solve real-world challenges, and work alongside research teams at Alphabet. With access to millions of miles of diverse driving data from various sensors, we empower engineers like you to (1) create methods for efficient continuous learning from extensive real-world data, (2) develop scalable models and training methodologies, (3) analyze real-world behaviors to create systems that can navigate complexities, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Join Nuro as a Senior Software Engineer specializing in Machine Learning Platform Infrastructure. You will be at the forefront of developing and enhancing our innovative ML platform that powers autonomous delivery vehicles. Your expertise will directly contribute to improving our algorithms and infrastructure, ensuring efficient and scalable performance.In this role, you will collaborate with cross-functional teams to design, implement, and optimize the underlying infrastructure for machine learning applications. You will also mentor junior engineers and drive best practices in software development.

DataVisor is a pioneering SaaS company dedicated to safeguarding the world's largest enterprises from fraud and money laundering. Our award-winning AI decision platform integrates cutting-edge unsupervised machine learning (UML) with advanced supervised models to effectively halt fraudulent activities across financial transactions, mobile growth, social networks, and e-commerce.We collaborate with leading global brands, providing them with solutions built upon our highly scalable platform. Our innovations stem from a world-class team of experts in big data, security, and distributed infrastructure, thriving in a culture characterized by openness, collaboration, and a commitment to results.Join us in redefining the limits of fraud detection.

Company OverviewAt Matic Robotics, we are dedicated to transforming the way households manage chores through innovative home robotics. Our flagship product, Matic, is an advanced floor cleaning robot that embodies the concept of 'full self-driving' technology within the home, featuring real-time 3D mapping, adaptive path-tracking, and an intricate semantic understanding of living spaces. Utilizing cutting-edge spatial AI, Matic operates effectively in real-world environments, relying solely on RGB cameras and on-device neural networks.Privacy FirstWe prioritize the privacy of our users, ensuring that all data processing occurs locally on the robot, safeguarding household information from cloud vulnerabilities.Our ApproachJust as the iPhone revolutionized personal technology by consolidating multiple devices into one, we envision a similar evolution in home robotics. Our journey begins with single-purpose robots, progressively enhancing their capabilities to meet complex household needs.Our CultureAt Matic, we cultivate a collaborative and driven team environment, united in our mission to create innovative solutions that save our customers time and energy. Our team is comprised of dedicated individuals passionate about tackling challenging problems.About the RoleWe are seeking a Senior Embedded Linux Engineer to join our Platform team at Matic, where you will have the opportunity to make a significant impact from the outset. In this role, you will tackle a wide range of challenges, from low-level driver and kernel development to integrating complex perception algorithms that run locally on our robots, all while maintaining high performance with limited computational resources.We are looking for candidates with strong expertise in embedded Linux and C/C++, who are also enthusiastic about learning Rust. If you thrive in an environment of accountability and enjoy solving intricate problems, we would love to hear from you! You can learn more about our approach to Rust in our blog: Why Rust: It’s the Safe ChoiceWhat You Will DoDevelop essential device systems software and functionalities from the ground up.Support mechanical engineering and other teams by creating a resilient software stack that interacts effectively with firmware, motors, sensors, and other software agents.

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.

About Us Nuro is a pioneering self-driving technology firm dedicated to democratizing autonomy. Established in 2016, we are at the forefront of creating the world's most scalable autonomous driver, merging advanced AI with automotive-grade hardware. Our innovative technology, the Nuro Driver™, is licensed for diverse applications, including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving deployments, Nuro is paving the way for automakers and mobility platforms to adopt autonomous vehicles at a commercial scale—fostering a future that is safer, richer, and more interconnected. Role Overview As a Software Engineering Intern at Nuro, you will collaborate with top professionals in machine learning, robotics, and software development. Depending on your expertise and interests, you may contribute to various teams, including Data Platform, Onboard Systems, ML Infrastructure, Simulation, or Technical Infrastructure. Key Responsibilities Data Platform: Engage with a comprehensive data management system for Nuro's AI Driver, overseeing data annotation in areas like 2D/3D perception, mapping, and behavior trajectory. You will also work on data ingestion and mining techniques. Onboard Systems: Collaborate with software and hardware teams to ensure the seamless integration of autonomy software across self-driving platforms, addressing onboard errors and performance issues. ML Infrastructure: Assist in developing solutions that enhance machine learning capabilities at Nuro, including distributed training platforms and model component libraries. Simulation: Participate in the creation of advanced simulation models that facilitate testing and validation of autonomous technologies.

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 mission is to enhance mobility access while preventing traffic-related fatalities. The Waymo Driver, recognized as The World’s Most Experienced Driver™, powers our fully autonomous ride-hailing service and extends to various vehicle applications. With over ten million rides completed and more than 100 million miles driven autonomously on public roads, our impact is profound and growing.The Transportation as a Service (TaaS) team is committed to crafting exceptional user experiences and driving business growth around the Waymo Driver.Our responsibilities encompass Growth, Territory Expansion, Service Quality (including pickup, drop-off, and routing), Marketplace (pricing, positioning, matching), and Partnership monetization (B2B and B2C).The Trip Platform team focuses on developing Waymo's essential trip platform to support diverse high-growth applications, such as ride-hailing and delivery, catering to both first-party and third-party B2B partners, broadening access to Waymo's technology.In this hybrid role, you will be reporting to an Engineering Manager.

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

Role OverviewAre you ready to take on a thrilling challenge? Imagine scaling and fine-tuning a revolutionary Generative AI product that delivers immediate support to enterprise users. If you're intrigued about how to implement abstraction, scalability, and optimization within a dynamic, probabilistic, and generative conversational framework, we want you on our Conversation Engine team. At Moveworks, you will play a pivotal role at the heart of our Generative AI initiatives, focusing on enhancing and optimizing our solution to cater to the escalating needs of the enterprise landscape.Join us in exploring our recent innovations, including Moveworks Live and Creator Studio, which showcase our groundbreaking contributions to enterprise AI. As trailblazers in this field, we don't adhere to a formula for crafting solutions; we encourage you to unleash your creativity and tackle unsolved challenges.You will work closely with machine learning experts and interdisciplinary teams, rapidly iterating on innovative ideas while utilizing user behavior data to inform your decisions. Your mission will be to scale and enhance our conversation engine to support hundreds of millions of users across various chat channels and applications, ensuring our end-to-end product infrastructure remains of the highest engineering quality and durability.Develop a comprehensive product infrastructure featuring intuitive interfaces that allow engineers and configurators to effortlessly customize and optimize generative AI models. This includes gathering data and feedback, adapting to various enterprise use cases, and delivering domain-specific conversational experiences.Create scalable API abstractions for our conversation platform that support all major chat clients (such as MS Teams, Slack, and Web) and provide a neutral API for further engineering developments.Enhance the dialog engine to support a wide array of conversational functionalities, leveraging proprietary domain knowledge unique to each enterprise client, while enabling real-time multilingual translation with minimal memory usage and low latency.Promote best practices regarding coding patterns, API design, scalability, robustness, and optimization, fostering a culture of excellence and continuous improvement among your engineering peers.