Software Engineering Manager - Platform Team

The Opportunity Join us at Otter.ai, where we are dedicated to enhancing productivity through innovative technology. As a Client Platform Engineer, you will be instrumental in maintaining and optimizing the systems, tools, and workflows that keep our engineers, AI researchers, and business teams operating seamlessly. You will serve as the primary resource for resolving technical challenges, managing devices and networks, and empowering teams to utilize cutting-edge tools that drive our AI-enhanced platform. This role offers a unique chance to thrive in a dynamic and forward-thinking environment where IT intersects with artificial intelligence. Collaborate with skilled engineers and operations leaders while gaining firsthand experience with automation and AI-driven tools that are shaping the future of work. Your Impact Deliver frontline IT support for team members across Windows and macOS platforms. Diagnose and resolve hardware, software, and network issues to minimize downtime. Oversee onboarding and offboarding procedures, including device configuration, access provisioning, and account management. Maintain and enhance company systems such as Google Workspace, Slack, and security tools. Ensure high-quality meeting experiences by supporting enterprise conference AV systems. Work alongside teams managing Okta identity management systems, implementing automation for provisioning, access control, and monitoring. Contribute to IT process documentation and assist in scaling support operations as the company expands. We’re Looking For Someone Who Has 2+ years of experience in IT Systems / Enterprise IT / Systems Engineering / DevOps-internal tooling, supporting internal customers (employees). Possesses strong scripting skills (Python preferred; Go is a plus) and is comfortable integrating APIs/services. Has a solid foundation in troubleshooting across macOS/Windows endpoints, networking basics, and security best practices. Is comfortable working in Linux environments and eager to learn operational best practices (monitoring, patching, reliability). Can navigate ambiguous problems and coordinate effectively with IT, Security, and Engineering stakeholders. Writes clear documentation and communicates practical trade-offs effectively. Has experience with identity and access workflows (Okta/Entra, Google Workspace/M365) and provisioning automation. Nice to Haves Familiarity with IAM patterns: access lifecycle automation, least privilege, access reviews. Knowledge of identity protocols: SAML, OAuth/OIDC, SCIM.

About UsAt Aurora, our mission is to revolutionize transportation by making self-driving technology safe, efficient, and widely available.Discover The Aurora Driver and be a part of a transformative movement in mobility and logistics, enhancing safety and accessibility for everyone.Join us at Aurora, where you'll solve challenging problems alongside a team of passionate, skilled individuals, all while advancing your expertise in this rapidly evolving field. For the latest updates, visit aurora.tech or follow us on LinkedIn.Position OverviewWe seek an innovative and skilled Staff Client Platform Engineer to join our Enterprise Site Reliability (SRE) team. In this pivotal role, you will lead the management of our enterprise client infrastructure encompassing Windows, Mac, and Ubuntu systems. Your responsibilities will include designing, implementing, and maintaining resilient and secure client device infrastructure while automating deployment, configuration, and management processes.You will play a crucial part in harnessing the power of self-driving technology by developing specialized client device solutions tailored to meet both company-wide and team-specific software and hardware requirements.Your ResponsibilitiesLead the strategic direction and execution of the Client Platform Engineering Team's initiatives.Design and implement scalable solutions for managing Aurora's physical and virtual client platforms (Mac, Windows, Ubuntu), ensuring timely security patches, configurations, and software package updates.Collaborate with IT Support, InfoSec, and Developer Experience teams to strategize and implement effective client platform management solutions.Oversee...

At Reliable Robotics, we are pioneering technology that enhances safety in aviation, aiming to save lives and transform the future of air transportation. Our automated aviation systems will facilitate a safer and more convenient way for goods—and eventually people—to traverse the globe. Our team is composed of dedicated engineers with diverse expertise in aerospace, robotics, and self-driving vehicles, all working together to bring this vision to life.As a Client Platform Engineer, you will play a pivotal role in our IT and Security team, contributing significantly to the evolution of Reliable Robotics' internal infrastructure and processes. Your responsibilities will involve building, deploying, and managing tools that enhance our operations. You will focus on automating existing systems to support standardization efforts, particularly concerning end-user facing endpoints.Key ResponsibilitiesIn this role, you will design and implement tools that cater to our internal business needs and uphold our standards. You will be engaged in creating and enhancing tools and their supporting infrastructures to elevate the daily experience of our users across the organization. This includes overseeing SaaS services, managing physical and cloud infrastructure to meet the requirements of various teams at Reliable Robotics. Additionally, you will identify opportunities for standardization and user experience improvement while training different teams, including IT/Security teams, to ensure redundancy when new tools are adopted.

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.

Join Aerospike, a leader in real-time data solutions, as the Director of Engineering for Product Platforms. In this pivotal role, you will lead a talented team to innovate and enhance our product offerings, ensuring we remain at the forefront of technology. You will oversee the engineering efforts, collaborating closely with product management and other stakeholders to drive product strategy and execution.

Join Databricks as a Staff Backline Engineer specializing in Platform services. In this pivotal role, you will leverage your technical expertise to support our platform's operational excellence, ensuring seamless performance and reliability. You will collaborate with engineering teams to troubleshoot and resolve complex issues, enhance our platform's functionality, and drive continuous improvement initiatives.

Aerospike, Inc. is seeking a highly skilled and motivated Cloud Platform Engineering Manager to lead our dynamic engineering team in Mountain View, California. In this pivotal role, you will be responsible for overseeing the development and deployment of our cloud-based solutions, ensuring the highest levels of performance, security, and scalability.You will collaborate closely with cross-functional teams to define project requirements and deliver innovative solutions that meet customer needs. Your expertise in cloud technologies and leadership skills will be instrumental in driving our engineering efforts forward.

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.

About UsAt Aurora Innovation, our mission is to revolutionize transportation by delivering self-driving technology in a safe, swift, and widespread manner.Explore The Aurora Driver and join us in creating a new era of mobility and logistics that ensures a safer, more efficient, and accessible future for everyone.At Aurora, you will engage with complex challenges alongside passionate and intelligent colleagues, enhancing your expertise while broadening your knowledge. For the latest updates from Aurora, visit aurora.tech or follow us on LinkedIn.Aurora is committed to hiring talented individuals from diverse backgrounds ready to contribute to a transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and improves mobility for all.We are on the lookout for a Software Engineering Manager to lead our HIL Platform team. This pivotal team operates at the intersection of software and the physical world, and we are expanding to hasten the commercialization of the Aurora Driver across our Class 8 truck platforms. This is a unique opportunity to guide a high-impact team in developing the world’s most advanced "flight simulator" for autonomous vehicles, ensuring the safety and reliability of 80,000-pound trucks before they even reach public roads.To attract a leading professional who approaches internal platforms as high-end products, we are emphasizing strategic decision-making, project execution, and product-centered leadership rather than specific HIL domain expertise. Here’s what you can expect in this role:Transform the Platform into a Product: Elevate internal hardware and simulation tools into a dependable, "customer-focused" service that empowers Autonomy engineers to deploy code with assurance and speed.Champion Strategic Technical Decisions: Assess and influence technical trade-offs, ensuring alignment with overarching business objectives.

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 company dedicated to making autonomy accessible to everyone. Established in 2016, we are developing the most scalable autonomous vehicle system, integrating advanced AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to facilitate a diverse array of applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven self-driving deployments, our technology provides automakers and mobility platforms with a clear path to commercial-scale autonomous vehicles, fostering a safer, more connected future.Position OverviewWe are seeking an experienced engineering leader to assume the role of Director for our Evaluation Platform team. This critical platform supports the simulation, evaluation, and validation processes that are essential for the development of autonomous technologies and ensuring readiness for driverless deployment.The successful candidate will establish the technical vision, execution strategy, and organizational framework for a multidisciplinary team focused on simulation, evaluation infrastructure, and software-driven operational workflows.The evaluation platform integrates data, simulation, metrics, and analysis workflows, empowering teams to:Rapidly iterate to enhance autonomy performanceAssess autonomy performance and risk with credibility and rigorMake informed, data-driven decisions regarding driverless deploymentKey ResponsibilitiesDevelop and oversee the technical vision and roadmap for the Evaluation Platform, encompassing simulation, evaluation infrastructure, and software quality operations.Lead, mentor, and nurture a multi-team organization (including managers and senior individual contributors), promoting a culture of technical excellence, ownership, and continuous improvement.Build and scale simulation and evaluation capabilities that cater to both rapid autonomy iteration and rigorous validation scenarios.Take ownership of the autonomy evaluation and validation platform, collaborating closely with Autonomy and Systems leadership to ensure reliability, scalability, and trust from engineering and validation teams.Represent the Evaluation Platform at the executive level, effectively communicating tradeoffs, progress, risks, and readiness.

Join Us in Mountain View, CA (Onsite)As a pivotal member of our core platform team at Moveworks, you will be instrumental in driving the advancement of our conversational AI platform. This is your chance to create enterprise-level products that address real-world challenges using our state-of-the-art machine learning capabilities. You'll be responsible for architecting foundational frameworks and services that abstract product requirements while providing scalable and reliable components. Additionally, you will help develop our enterprise data platform to support diverse product needs. Collaborating closely with product management, user experience, customer success, machine learning, and other engineering teams, you'll define and implement innovative solutions.Design and develop highly reliable, performant, and secure platform components.Shape the platform team roadmap and lead the evolution of various platform areas.Collaborate with engineering teams to deliver unified cross-functional solutions.Consistently meet deadlines while managing interdependencies with other engineering teams.Challenge existing norms and drive continuous improvement across the platform.Engage in regular peer code and engineering design reviews.

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 tirelessly worked to develop the Waymo Driver—the world's most experienced driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our technology powers a fully autonomous ride-hailing service, with over ten million rides completed and more than 100 million miles driven autonomously across 15+ U.S. states.Our Hardware Engineering team is a dynamic, innovative group of electrical, mechanical, reliability, software, and vehicle engineers. We design, construct, and refine the products that serve as the sensory foundation of Waymo's autonomous driving capabilities, integrating these systems into various vehicle platforms. We are looking for inquisitive and talented individuals to help us advance our mission.This position follows a hybrid work schedule and reports to the Manager of Systems Architecture Integration & Diagnostics.

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 Commure as an Engineering Manager for the RCM Core Platform, where you will lead a dynamic team in developing cutting-edge healthcare solutions. Your expertise will drive the design and implementation of systems that enhance revenue cycle management.

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.

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.

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.