Senior Software Engineer in Information Security

Join our innovative team at Commure as a Senior Software Engineer specializing in Information Security. In this role, you will play a critical part in safeguarding our systems and data against evolving security threats. You will collaborate with cross-functional teams to design, implement, and maintain robust security measures. Your expertise will be pivotal…

Join Nuro as a Senior Software Engineer, where you will play a pivotal role in enhancing our performance tooling and infrastructure. You will work on cutting-edge technologies to optimize our systems for efficiency, scalability, and performance. If you are passionate about building robust software solutions and driving innovation, we want to hear from you.

At Reliable Robotics, we are pioneering innovative safety technologies for the aviation industry that have the potential to save lives. Our vision is to create automated aviation systems that will revolutionize air transportation, making it safer, more accessible, and fundamentally transformative in the movement of goods and people across the globe. Our dedicated team consists of mission-focused engineers with diverse expertise in aerospace, robotics, and autonomous vehicles, working diligently to turn this vision into reality.As a Senior Simulation Software Engineer, you will be instrumental in developing and enhancing our simulation software stack. This includes ensuring optimal framework performance, modeling flight dynamics, emulating hardware, and establishing a robust simulation-based testing infrastructure.

Join Our Team!At Otter.ai, we are on the lookout for a Senior Frontend Software Engineer to spearhead our feature development initiatives and act as a technical authority within the organization. In this pivotal role, you will enhance the performance, improve the infrastructure, and elevate the user experience of our innovative platform.The ideal candidate is a strategic innovator with a robust background in platform optimization. If you have a knack for transforming concepts into powerful solutions and thrive in a fast-paced, collaborative setting, we would love to hear from you!Your ContributionsLead the ongoing development and enhancement of our web application, ensuring it evolves to meet our business objectives.Design and optimize our existing web application, transitioning it into a responsive, mobile-first single-page application (SPA) focused on performance and user experience.Produce clean, maintainable, and reusable code that complies with industry best practices and our internal coding standards.Proactively identify, troubleshoot, and fix bugs to enhance app quality and stability.Implement thorough testing protocols to ensure the application meets security standards and functions efficiently across diverse platforms and devices.

As a Senior Software Engineer specializing in Perception Verification at Waymo, you will play a crucial role in enhancing the safety and performance of autonomous driving technology. Your expertise will guide the development of innovative algorithms and systems that validate perception capabilities, ensuring our vehicles can navigate the complexities of real-world environments.This position offers an exciting opportunity to work at the forefront of technology, collaborating with a talented team of engineers and researchers dedicated to revolutionizing transportation.

Join Waymo as a Senior Software Engineer specializing in Simulation Infrastructure, where you will lead the development of innovative simulation tools and frameworks that enhance our self-driving technology. You will collaborate with cross-functional teams to design robust software solutions that drive our mission to make transportation safer and more accessible through autonomous driving.

Join Otter.ai as a Senior Software Engineer specializing in Search & Recommendations, where you will play a pivotal role in enhancing our platform's ability to deliver tailored content and improve user experiences. You will collaborate with a talented team of engineers and product managers to develop innovative solutions that leverage machine learning and natural language processing.

Waymo is looking for a Senior Software Engineer to join the DevAI team in Mountain View, CA. This group works on artificial intelligence technologies that support the company’s autonomous vehicle systems. Role overview This position focuses on designing, building, and refining software that improves the intelligence and performance of Waymo’s self-driving vehicles. The work involves collaborating closely with other engineers to deliver reliable and effective AI solutions. What you will do Develop and optimize software for autonomous vehicle platforms Work with team members to design and implement new AI-driven features Contribute to enhancing the capabilities and safety of Waymo’s transportation technology Team and impact The DevAI team brings together engineers focused on advancing the core intelligence of Waymo’s vehicles. This role has a direct impact on the future of transportation technology by helping shape how autonomous vehicles perceive and interact with the world.

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of advancing mobility solutions. Our flagship product, the Waymo Driver—The World’s Most Experienced Driver™, enhances access to safe transportation while significantly reducing traffic-related fatalities. This state-of-the-art driving system powers our fully autonomous ride-hailing service and is adaptable across a multitude of vehicle types and applications. Having completed over ten million rider-only trips and accumulated over 100 million miles driven autonomously on public roads, we are committed to redefining the future of transportation.Our Systems Engineering team is at the core of this innovation, merging software and hardware to set unparalleled performance benchmarks. We strive for excellence in vehicle operations, ensuring passenger safety while conducting rigorous testing to validate our systems. We seek enthusiastic team members who possess a collaborative spirit and a passion for impactful results.In this hybrid role, you will collaborate directly with a Senior Staff Test Engineer specializing in Driving Behaviors.

Waymo is at the forefront of autonomous driving technology, aiming to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver is the backbone of our fully autonomous ride-hailing service, having successfully completed over ten million rider-only trips, powered by more than 100 million miles of autonomous driving on public roads and extensive simulation across 15+ U.S. states.The Waymo Mapping team is committed to creating a comprehensive high-resolution map of the world to ensure safe autonomous driving. We utilize a combination of automated and manual mapping techniques to build the infrastructure necessary for storing, processing, and distributing this vital map data. Our team partners with various other Waymo teams that rely on this map data.

Waymo is a pioneering technology company focused on autonomous driving, aiming to become the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing 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 and can be integrated across various vehicle platforms and applications. The Waymo Driver has successfully completed over ten million rider-only trips, leveraging experience from over 100 million miles driven autonomously on public roads and billions more in simulation across more than 15 U.S. states.Our Software Engineering team designs the intelligent systems behind Waymo’s autonomous driving capabilities. Our software enables the Waymo Driver to sense its surroundings, make informed decisions, and transport passengers safely. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a passionate software engineer or researcher with curiosity for Level 4 autonomous driving, we want to connect with you.In this hybrid position, you will report to the Technical Lead Manager.

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 save lives lost to traffic accidents. The Waymo Driver is the driving force behind our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and use cases. With over ten million rider-only trips completed, we have amassed experience driving autonomously over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.The Simulator Team at Waymo creates advanced simulations of realistic environments for testing and training the Waymo Driver. We leverage cutting-edge machine learning algorithms to assess and improve the Waymo Driver's performance. As our simulation platform evolves, this technical leadership position will oversee the strategy for the entire Simulator software stack, ensuring it scales with emerging simulation technologies and Waymo’s growth. Your responsibilities will encompass low-level optimization through to high-level configuration, all aimed at enhancing resource utilization (CPU/RAM/TPU/GPU). You will spearhead the Simulator Platform's efficiency initiatives and represent the team in broader performance-related projects within Waymo.In this hybrid role, you will report to a Director of Software Engineering.

Join Nuro as a Senior Software Engineer specializing in Perception Data Infrastructure. In this pivotal role, you will be responsible for developing and optimizing systems that process perception data, enabling our autonomous vehicles to navigate safely and efficiently. You will collaborate with cross-functional teams to enhance our data infrastructure, ensuring reliability and scalability.

About Gatik Gatik develops autonomous middle-mile logistics solutions for B2B supply chains. The company’s autonomous transportation-as-a-service (ATaaS) platform focuses on safety and efficiency, providing reliable deliveries while reducing congestion in freight movement. In 2021, Gatik and Walmart launched the world’s first fully driverless commercial transportation service. Today, Gatik’s Class 3-7 autonomous trucks operate in Texas, Arkansas, and Ontario, Canada, setting new standards for freight transportation. Gatik’s proprietary Level 4 autonomous technology, Gatik Carrier™, combines advanced software and hardware to move freight safely and efficiently between pick-up and drop-off locations. The solution integrates with customer logistics operations to improve overall efficiency. Role Overview: Senior Software Engineer (Unity) – Automotive Innovation This Senior Software Engineer position centers on Unity and C#. The primary focus is developing and scaling a 3D Human Machine Interface (HMI) and the content delivery pipeline for Gatik’s autonomous vehicle systems. The work directly supports real-world commercial deployments, sitting at the intersection of visualization, tooling, and system observability. Key responsibilities include building interfaces that help engineers and operators monitor, debug, and understand autonomy behavior in real time. The goal is to accelerate technology iteration while maintaining safety. Unlike traditional game development, this role uses Unity and real-time 3D systems to create scalable, production-grade tools and systems that connect with autonomy, simulation, and data platforms. The engineer will own major system components, such as CI-driven asset pipelines and real-time visualization, and will collaborate with teams across autonomy, simulation, and data.

(P-1286) At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world, from realizing the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating and operating the world's leading data and AI infrastructure platform, enabling our customers to leverage deep data insights to enhance their business performance. The Networking Infrastructure forms a critical component of our platform, supporting all our data and AI products. It also underpins essential enterprise security features that customers utilize across our offerings to establish connectivity solutions to cloud resources and prevent data exfiltration. We are on the lookout for seasoned Senior Software Engineers with extensive experience in large-scale distributed systems to join our Networking Infrastructure team. In this role, you will design and automate the networking foundations for expansive compute clusters across all major cloud providers, link millions of virtual machines operating on Databricks, and lead the development of secure and scalable connectivity that drives all data and AI workloads. Collaborating closely with cross-functional teams, including product management, operations, and other engineering teams, you will ensure the delivery of robust, scalable, and efficient networking systems. This is an outstanding opportunity for a hands-on leader who thrives in a dynamic environment and is eager to tackle innovative multicloud and distributed systems challenges.

Moveworks is seeking a Senior Software Engineer focused on Core Infrastructure to help advance the platform that powers automated IT issue resolution. This position is based in Mountain View. Role overview This role centers on building and improving the foundational systems that support Moveworks’ automation platform. As part of the core infrastructure team, you will work closely with other engineers to design, develop, and maintain systems that scale reliably. What you will do Collaborate with engineering peers to shape the architecture of critical infrastructure components Implement solutions that support seamless automation and platform growth Contribute ideas and expertise to ongoing improvements in system performance and reliability Who we’re looking for Engineers who enjoy tackling complex infrastructure challenges Individuals motivated to deliver software that improves user experience and operational efficiency Those who thrive in a collaborative, evolving environment

Who We AreGatik is at the forefront of transforming autonomous middle-mile logistics. As a leader in B2B supply chain solutions, we are pioneering our autonomous transportation-as-a-service (ATaaS) offering, ensuring safe and reliable deliveries while alleviating freight congestion. Our focus on short-haul logistics caters primarily to Fortune 500 retailers, and in 2021, we proudly launched the world’s first fully driverless commercial transportation service in partnership with Walmart. Our Class 3-7 autonomous trucks are now operational in major markets including Texas, Arkansas, and Ontario, Canada, driving innovation across the freight transportation sector.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to transport freight safely and efficiently between designated pick-up and drop-off points. With exceptional capabilities in both highway and urban settings, Gatik Carrier™ seamlessly integrates advanced software and hardware to enhance our fleet's performance, making it easier for customers to incorporate our solutions into their logistics operations.

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.

Waymo is at the forefront of autonomous driving technology, driven by a mission to become the world's most reliable driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. Our innovative Waymo Driver powers our fully autonomous ride-hail service, with applications across various vehicle platforms and use cases. Having completed over ten million rider-only trips, our technology is backed by more than 100 million miles driven autonomously on public roads and tens of billions simulated across more than 15 U.S. states.The Reasoning Foundations Team is pivotal in crafting horizontal technologies that impact the entire Waymo organization. Within this team, the Driving Logic Capabilities unit focuses on building and maintaining the essential interfaces, infrastructure, and shared technologies utilized by Planner Reasoning to address onboard behavioral challenges. In this impactful role, you’ll play a crucial part in enhancing the Waymo Driver's performance as we expand into new cities, empowering over 100 engineers to develop onboard software and advance Waymo’s architectural frameworks. Additionally, you will have the chance to influence development workflows organization-wide by establishing clear interfaces and processes for developing and debugging the Waymo driver.In this hybrid role, you will report directly to a Lead Software Engineer.

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.