Software Engineer - Test Platforms

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

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.

At Reliable Robotics, we are pioneering innovative technologies that enhance aviation safety and save lives. Our automated aviation systems are designed to revolutionize air transportation, making it safer, more convenient, and fundamentally transforming the movement of goods—and eventually people—across the globe. Our team consists of dedicated engineers with expertise in aerospace, robotics, and autonomous vehicles, all committed to making this vision a reality.In your role as a Flight Software Test Verification and Validation (V&V) Engineer, you will create robust test cases that support our verification processes, ensuring the safety and reliability of our aviation products. Your work will facilitate a high-fidelity training environment for our flight-test crews.Key ResponsibilitiesAs a Flight Software Test V&V Engineer within the Simulation and Test Systems team, you will play a vital role in testing and deploying software for autonomous aircraft. You will help design, implement, and maintain the hardware and software infrastructure needed to verify aircraft performance prior to flight testing. Your responsibilities will include verifying flight software functionality across various integrated test environments, including software-in-the-loop (SIL), hardware-in-the-loop (HITL), and on-aircraft testing. Additionally, you will author and execute test procedures for on-ground aircraft testing.A significant aspect of this position involves developing and maintaining automated test scripts within our testing ecosystem, which are essential for functional testing and requirements-driven software assessments necessary for FAA certification.This position requires strong collaboration skills as you will work closely with various engineering teams to develop test plans, execute tests, troubleshoot issues, and drive resolution. You will also oversee the maintenance, installation, and troubleshooting of test and simulation equipment.

Join Waymo, a leader in autonomous vehicle technology, as a Senior Software Engineer specializing in Behavior Test Engineering. In this role, you will collaborate with cross-functional teams to design, develop, and implement robust test frameworks that ensure the safety and reliability of our self-driving technology.Your expertise will contribute to creating innovative solutions that push the boundaries of what is possible in autonomous driving. You will be responsible for enhancing the testing processes and ensuring our software meets the highest standards of quality and performance.

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...

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.

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.

Waymo is at the forefront of autonomous driving technology, driven by the mission to become the world’s most trusted driver. Born 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 and save lives that are often lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service, which can be adapted for various vehicle platforms and use cases. With over ten million rider-only trips completed and experience accumulated from driving over 100 million miles on public roads, alongside tens of billions of miles in simulation across more than 15 U.S. states, Waymo is redefining transportation.The Perception team is integral to the Waymo Driver's success, crafting cutting-edge technology that enables our autonomous systems to accurately understand their environment, make informed decisions in real-time, and transport passengers safely to their destinations. We engage in research to tackle real-world challenges and collaborate with other innovative teams at Alphabet. Our access to extensive driving data collected through diverse sensors empowers software engineers like you to create and scale multi-modal models and techniques.Our objective is to establish a robust foundation for a high-level Perception pipeline, which is a fundamental component of the self-driving system. We serve as the essential link between Waymo's hardware teams and the broader engineering organization focused on self-driving technology, defining sensor specifications, providing vital feedback, and simplifying system complexities.In this hybrid role, you will report directly to a Technical Lead Manager.

About EarnInAt EarnIn, we are proud to be frontrunners in earned wage access, dedicated to creating innovative products that provide real-time financial flexibility for individuals navigating the challenges of living paycheck to paycheck. Our community members can access their earnings as they earn them, with the freedom to spend, save, and grow their money without incurring mandatory fees, interest rates, or credit checks.Backed by a highly experienced leadership team and supported by prestigious funding partners such as A16Z, Matrix Partners, DST, and Ribbit Capital, we are on a rapid growth trajectory and eager to welcome world-class talent to help us shape the next chapter of our journey.POSITION SUMMARY We are seeking a highly proficient Senior Software Quality Engineer (SDET) to spearhead our comprehensive quality engineering initiatives across mobile, web, backend, and data platforms. This pivotal role blends profound technical acumen with a progressive, AI-centric approach, fostering innovation, scalability, and reliability through advanced automation and intelligent testing strategies. As a senior team member, you will advocate for cutting-edge, AI-driven quality practices and cultivate a culture of continuous improvement, automation-first thinking, and data-informed decision-making throughout the product development lifecycle. This position is hybrid, based in Mountain View (Headquarters), requiring in-office attendance twice a week. The competitive salary range for this full-time role is between $210,000 and $257,000, plus equity and comprehensive benefits. Our salary ranges are determined by role, level, and location. EarnIn offers exceptional benefits for our team members, including healthcare, internet/cell phone reimbursement, and a learning and development stipend.Quality Engineering & TestTake ownership of end-to-end quality across iOS and Android applications and their associated backend services, ensuring a high level of confidence in weekly (or more frequent) releases.Design and implement thorough test strategies encompassing:Native mobile applications (iOS & Android)Mobile-to-backend integrations (REST APIs, authentication flows, event-driven systems)Microservices and distributed systemsEssential web workflows that intersect with mobile journeysDevice, OS, browser, and network variabilityApp lifecycle events, offline behavior, retries, and edge cases...

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.

Join Waymo, a leader in autonomous vehicle technology, as a Software Engineer focused on Sensor/Vehicle Testing and Calibration. In this role, you will be integral to enhancing our vehicle systems and ensuring optimal performance through rigorous testing and calibration processes. Your expertise will contribute to the development of cutting-edge technologies that aim to revolutionize transportation.

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.

Join our dynamic team at 360itprofessionals1 as a Software Development Engineer in Test (SDET). In this pivotal role, you will be responsible for designing, implementing, and maintaining automated test frameworks to ensure the quality of our software products. You will collaborate closely with development teams to identify testing requirements and create robust testing strategies that enhance product reliability and user experience.

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.

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.

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.

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.

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.

Who We AreNuro is a pioneering self-driving technology company dedicated to making autonomous vehicles accessible for everyone. Established in 2016, Nuro is at the forefront of developing the world's most scalable driver, merging advanced AI with automotive-grade hardware. Our signature technology, the Nuro Driver™, is licensed to support an array of applications including robotaxis, commercial fleets, and personal vehicles. With years of successful self-driving deployments behind us, we provide automakers and mobility platforms a clear pathway to commercial-scale autonomous vehicles, contributing to a safer, more connected future.About the RoleIn the capacity of Senior Software Engineer focusing on Collision Avoidance Testing, you will collaborate with various teams, including onboard autonomy, evaluation infrastructure, data science, operations, and simulation, to assess the performance of our autonomous vehicles in collision avoidance situations. Your key responsibilities will include pinpointing gaps in on-road and simulation tests, crafting suitable tests to address these gaps, evaluating test results, and refining test designs. You will analyze outcomes, propose product enhancements, and communicate residual risks to both leadership and within the safety case framework.About the WorkDesign realistic scenarios to enhance collision avoidance and detection test coverage utilizing log replay simulations and synthetic reconstructions of third-party accidents.Create validation methodologies for testing Automated Emergency Braking functionalities through simulations and structured testing.Identify deficiencies in both simulation and public road testing, formulating structured test scenarios to bridge these gaps in compliance with standards from NHTSA or NCAP.Assist in developing models to quantify risks in scenarios with non-zero collision probabilities.Draft test and residual risk reports, offering strategic recommendations to enhance simulation realism and autonomy architecture.Support the safety assessment by identifying, documenting, and communicating claims related to collision avoidance and simulation realism.Effectively communicate across teams including onboard and offboard software engineers, test operations, and leadership to present risks and requirements clearly.