Displays Software Engineer (C/C++)

At Reliable Robotics, we are pioneering innovative technology aimed at enhancing safety in aviation, ultimately saving lives. Our vision is to revolutionize air transportation through automated systems that make it safer, more convenient, and fundamentally transformative for the movement of goods and people across the globe. Our team comprises mission-driven engineers with extensive experience in aerospace, robotics, and self-driving vehicles, all dedicated to turning this vision into reality.We are seeking a talented Displays Software Engineer to join our remote piloting software team. This team is responsible for developing the pilot-facing software applications that command our aircraft's advanced automation systems, both on board and remotely. You will collaborate with an interdisciplinary team of engineers and experts, all focused on building a safer and more efficient aviation future.ResponsibilitiesAs a Displays Software Engineer, your primary responsibilities will include designing, architecting, and developing a diverse range of real-time user interface applications to control our automated aircraft systems. This includes everything from real-time embedded user interfaces on aviation-grade hardware to browser-based applications. These applications will be critical to our efforts in creating a fully certified system: they will serve as a platform for rapid prototyping of workflows and designs, be utilized in our experimental test flight programs, and ultimately act as reference implementations for our certified displays and controls. You will have complete ownership over the application lifecycle, collaborating with software engineers, designers, systems engineers, and pilots to ensure the systems are safe, user-centered, and certifiable.Basic Success CriteriaBachelor’s degree in Computer Science, Computer Engineering, or a related field.Minimum of 5 years of experience in developing user-facing software for high-performance or mission-critical applications.At least 5 years of professional experience in C or C++ programming.Preferred CriteriaFamiliarity with DO-178C guidelines.In-depth understanding of computer architecture, operating systems, and networking.Expertise in developing user-facing software requirements and interpreting graphical specifications.Experience working with human-in-the-loop systems.

About CyngnCyngn is a pioneering autonomous technology firm based in Mountain View, CA, specializing in the deployment of self-driving industrial vehicles, such as forklifts and tuggers, in factories, warehouses, and other facilities across North America. We are on the lookout for innovative and driven leaders to help advance this cutting-edge technology. If you thrive in collaborative environments and enjoy creating solutions with a passionate team, Cyngn is the ideal workplace for you.A Unique Work Environment.With a team of fewer than 100 employees, we embody the dynamic spirit of a startup while enjoying the stability of being publicly traded. Our team members benefit from close mentorship and the liquidity offered by our publicly-traded equity.Innovating for Immediate Impact.At Cyngn, our autonomous vehicles are more than just concepts—they are actively deployed with real clients. Your contributions will directly influence the efficiency and effectiveness of our solutions.A Creative and Inclusive Team.We pride ourselves on being a diverse team of intelligent and compassionate individuals. Trust and collaboration are the cornerstones of our innovative culture, where every team member's perspective is valued.Role Overview:As a Senior C++ Robotics Engineer at Cyngn, you will be instrumental in the development and integration of our autonomous vehicle systems. Your responsibilities will include working on critical software components, optimizing systems, and integrating hardware across our fleet of autonomous vehicles. Your expertise in robotics, system administration, and performance optimization will be essential in ensuring our solutions operate reliably and efficiently in various industrial environments.

About Waymo Waymo began as the Google Self-Driving Car Project in 2009. Since then, the team has focused on building the Waymo Driver to improve mobility and reduce traffic fatalities. Waymo’s technology powers a fully autonomous ride-hailing service and adapts to a range of vehicle platforms. With over ten million rider-only trips and more than 100 million autonomous miles on public roads, the company brings deep experience to the field. Team Overview The Hardware Engineering team brings together electrical, mechanical, reliability, software, and vehicle engineers. This group designs, builds, and improves the systems that form the sensory backbone of Waymo’s autonomous vehicles. The team works closely to integrate these systems into vehicle platforms and continually refines them to support safe and reliable autonomous driving. Role Overview: Senior Software Engineer - Vehicle Platforms (C++) This position focuses on software engineering for vehicle platforms, with an emphasis on C++. The Senior Software Engineer will contribute to the development and integration of systems that enable Waymo’s autonomous vehicles. The role is based in Mountain View, CA, and follows a hybrid work schedule. The position reports to the Senior Staff Software Engineer for Embedded Systems.

At Reliable Robotics, we are pioneering cutting-edge technology that enhances safety in aviation, with the ultimate goal of saving lives. Our automated aviation systems are set to transform air transportation, making it safer and more convenient for the movement of goods and eventually people around the globe. We are a dedicated team of engineers with diverse backgrounds in aerospace, robotics, and self-driving technology, all working towards this ambitious future.As a Displays Software Engineer, you will play a crucial role within our remote piloting software team. This team is tasked with developing the pilot-facing application software used to command our advanced aircraft automation systems, both onboard and remotely. You will collaborate with a talented group of interdisciplinary engineers, leveraging your expertise to drive innovation in aviation technology.Key ResponsibilitiesIn this position, your primary responsibility will be to design, architect, and implement various real-time user interface applications for controlling our automated aircraft systems. These applications may include browser-based solutions and real-time embedded UIs on aviation-grade hardware. Your work will support our efforts to create a fully certified system in multiple ways: by providing a platform for rapid prototyping, facilitating our experimental test flight programs, and serving as a reference implementation for certified displays and controls. You will have end-to-end ownership of the application lifecycle, collaborating with software engineers, designers, systems engineers, and pilots to create safe, user-centered, and certifiable systems.

Who We AreGatik, a trailblazer in the realm of autonomous middle-mile logistics, is transforming the B2B supply chain with its innovative autonomous transportation-as-a-service (ATaaS) solution. We prioritize safety and consistency in deliveries while enhancing freight movement and alleviating congestion. Our focus is on short-haul B2B logistics for 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 actively deployed across key markets, including Texas, Arkansas, and Ontario, Canada, driving forward-thinking innovation in freight transportation.At Gatik, our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to transport freight securely and effectively between pickup and drop-off locations during the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as a comprehensive solution that seamlessly integrates advanced software and hardware, empowering our fleet and facilitating easy incorporation into our customers' logistics operations.About the RoleWe are on the lookout for enthusiastic Senior/Staff Software Engineers who possess strong foundations in software development practices and are proficient in C++ within a production-oriented environment. The ideal candidate is a seasoned C++ developer driven by a passion for enabling the world's first safe, reliable, and efficient network of autonomous vehicles. You will collaborate with our research and software engineers to design, implement, test, and validate autonomous vehicle features for our fleet.This position is onsite at our Mountain View office.

About Us:Aeva is at the forefront of innovation, dedicated to revolutionizing perception technology across various sectors, including autonomous driving, industrial robotics, consumer health, security, and more. Our cutting-edge 4D LiDAR sensors, which uniquely combine instant velocity detection with 3D positioning, empower autonomous vehicles and robots to operate with enhanced intelligence and safety.Role Overview:We are seeking a motivated and skilled Senior Embedded C++ Software Engineer to join our talented team. In this role, you will focus on embedded systems and take ownership of design projects from initial architecture through to production deployment. Your ability to work independently and collaboratively will be key to your success.

Waymo, a pioneering autonomous driving technology company, is on a mission to become the most reliable driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to creating the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and save countless lives currently lost to traffic accidents. The Waymo Driver is the backbone of Waymo’s fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. Having completed over ten million rider-only trips and accumulated over 100 million miles of autonomous driving on public roads, alongside tens of billions of miles in simulation across 15+ U.S. states, Waymo is at the forefront of this transformative technology.The Onboard Frameworks Team is essential in providing the foundational components necessary for developing Waymo's onboard software ecosystem. This team collaborates closely with onboard engineers to design, implement, and deploy critical APIs, streamline development workflows, and provide tools that significantly enhance the development speed across the organization.

Waymo is leading the way in autonomous driving technology with a mission to be the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance accessibility to transportation while preventing countless lives lost in traffic accidents. Our innovative Waymo Driver underpins our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated by our technology, we have driven more than 100 million miles on public roads and logged tens of billions of miles in simulation across more than 15 U.S. states.The Perception Evaluation team at Waymo is pioneering advancements in autonomous driving, prioritizing the safety and reliability of our self-driving systems. Our team leverages state-of-the-art tools and methodologies to rigorously evaluate the performance of our perception systems, which are essential for the safe and effective operation of autonomous vehicles. We are currently seeking a Software Engineer to be instrumental in shaping the future of transportation and enhancing the quality and reliability of Waymo's autonomous vehicles.In this hybrid role, you will report directly to an Engineering Manager.

Who We AreNuro is at the forefront of self-driving technology, dedicated to making autonomy accessible and efficient. Established in 2016, we are pioneering the development of the world’s most scalable driver, seamlessly integrating advanced AI with automotive-grade hardware. Our flagship innovation, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven success in autonomous deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale AVs, fostering a safer, more connected future.About the RoleAs a pivotal member of the Autonomy Visualization team, your primary focus will be on creating high-performance visualization platforms. These platforms empower software engineers to incorporate new visualization elements effortlessly. You will have the chance to work across the entire lifecycle of visualization features and products, honing your technical expertise, product insight, and cross-functional collaboration skills.Your ResponsibilitiesDevelop efficient visualization frameworks using C++ / OpenGL and Unity to support critical functions such as autonomy development, validation, triage tools, and in-car visualization.Collaborate closely with Autonomy engineers to enhance their workflows through improved visualization tools.Work with ML Labeling teams to create high-quality training data utilizing customized labeling tools.Engage with product managers and designers to deliver polished visualizations for external applications that reflect Nuro’s brand positively.

About UsAurora Innovation is dedicated to advancing self-driving technology, ensuring its safe, rapid, and widespread adoption.The Aurora Driver is set to revolutionize mobility and logistics, paving the way for a safer, more efficient, and accessible future.At Aurora, you will engage with complex challenges alongside passionate and skilled professionals, enhancing your expertise and expanding your understanding. Stay updated with our latest news at aurora.tech or connect with us on LinkedIn.Aurora is on the lookout for talented individuals from diverse backgrounds eager to contribute to a transformative transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and improves mobility accessibility for everyone.We are currently seeking a Software Engineer to join our Vehicle Platforms team. This is an exceptional opportunity for a systems-oriented coder to work at the foundational layer of our autonomous trucks, connecting high-level autonomy software with physical vehicle hardware. You will play a crucial role in ensuring that our sensors, compute units, and embedded devices work seamlessly as a high-performance unit, making this one of the most hands-on software roles at Aurora.

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.

Join our dynamic team at Artech Information Systems LLC as a Senior Automation Developer specializing in Objective C. In this role, you will be responsible for designing, developing, and implementing automation solutions that enhance the efficiency of our software products. Your expertise in Objective C will be pivotal in driving innovation and optimizing performance.

About UsGatik, a pioneer in autonomous middle-mile logistics, is transforming the B2B supply chain landscape through its innovative autonomous transportation-as-a-service (ATaaS) solutions. We prioritize safe and reliable deliveries while optimizing freight movement and alleviating congestion. With a focus on short-haul logistics for Fortune 500 retailers, Gatik made headlines in 2021 by launching the world’s first fully driverless commercial delivery service in partnership with Walmart. Our Class 3-7 autonomous trucks are actively deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving forward the future of freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously engineered to safely and efficiently transport freight between pick-up and drop-off points in the middle mile. With extensive capabilities in both highway and urban settings, Gatik Carrier™ serves as a comprehensive solution that seamlessly integrates advanced software and hardware, enhancing our customers' logistics operations.Position OverviewAs a Senior/Staff Software Engineer, you will develop state-of-the-art C++ backend systems for vehicle telemetry, state management, and real-time communication. You will be responsible for designing high-reliability, low-latency protocols and safety-critical workflows, while also collaborating with autonomy and platform teams, interfacing with vendors, and conducting on-vehicle testing to optimize performance and reliability.This position is based at our Mountain View office.

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, a leader in autonomous driving technology, aims to be the world's most trusted driver. Originating as the Google Self-Driving Car Project in 2009, Waymo's mission has been to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver, recognized as The World's Most Experienced Driver™, not only powers our fully autonomous ride-hail service but is also adaptable across multiple vehicle platforms and applications. With over ten million rider-only trips under its belt, it has driven autonomously for more than 100 million miles on public roads and executed extensive simulations across 15+ U.S. states.In the Hardware organization, Software Engineering is where innovative software integrates seamlessly with the physical world. You will be instrumental in developing critical systems that oversee autonomous vehicle operations across varied domains, including Sensing, Vehicle Integration, Positioning, Motion Control, Fault Management, Onboard Automation, and Embedded Simulation. We seek versatile software engineers capable of tackling diverse challenges in embedded systems, controls, sensor processing, manufacturing calibration, simulation, and data analytics, as well as designing advanced state machines and automation interfaces.Your contributions will directly influence Waymo's ability to expand its fleet and reach more urban areas.This position follows a hybrid work schedule, and you will report to a Software Engineer.

Waymo, a pioneering autonomous driving technology firm, is dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, we have been committed to creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic accidents. With our fully autonomous ride-hail service, the Waymo Driver has successfully completed over ten million rider-only trips, having driven over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states.Our Software Engineering team develops the core intelligence behind Waymo’s fully autonomous driving technology. By enabling the Waymo Driver to interpret its surroundings, make informed decisions, and transport individuals safely to their destinations, we tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, and work closely with hardware and systems engineers. If you are a passionate and inquisitive software engineer or researcher interested in Level 4 autonomous driving, we want to connect with you.The Sensor Foundations Team is responsible for delivering high-quality, processed sensor data through optimized APIs for Perception models. We abstract hardware variances where feasible and provide essential Perception signals via algorithms or machine learning. Projects within our team require a versatile skill set, encompassing robotics, system integration, code optimization, and machine learning expertise. We possess a robust understanding of both sensor and compute hardware, as well as the overall Perception framework. We seek a proficient Software Engineer with experience in robotics and machine learning to help us streamline the transition from algorithms to machine learning for low-level Perception tasks.This position operates on a hybrid schedule and reports directly to the Technical Lead Manager of the Sensor Foundations Team.

At Waymo, we are pioneering the future of mobility with our autonomous driving technology, striving to be the most trusted driver globally. Originally launched as the Google Self-Driving Car Project in 2009, we have dedicated our efforts to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, leveraging the experience gained from autonomously navigating more than 100 million miles on public roads across 15+ U.S. states.Our Hardware Engineering team is a dynamic collective of electrical, mechanical, reliability, software, and vehicle engineers. We are committed to designing, constructing, and refining the components that serve as the eyes and ears of our autonomous driving technology, integrating these innovations into various vehicle platforms. We are in search of inquisitive and skilled individuals to help us drive innovation forward.This position operates under a hybrid work arrangement and reports directly to the Technical Lead & Manager of Motion Control.

Waymo, an innovator in autonomous driving technology, aims to be the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo’s goal is to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver—The World’s Most Experienced Driver™—powers our fully autonomous ride-hailing service, having completed over ten million rider-only trips and traveled more than 100 million miles on public roads across 15+ U.S. states.The Planner/Perception Reliability team is dedicated to developing architectures, tools, and workflows that proactively address reliability challenges. Our focus is on ensuring the health of onboard software while maintaining high velocity in development.In this hybrid role, you will report to a Staff Software Engineer/Tech Lead Manager.Your Responsibilities Include:Designing the foundational architecture for onboard reliability, creating essential infrastructure and tools that enhance the robustness and reliability of onboard software.Gaining a comprehensive understanding of system behavior, implementing concise, low-noise metrics that provide immediate insights into vehicle and overall fleet performance.Collaborating across teams at Waymo to streamline reliability workflows, ensuring our business-critical operations run smoothly and safely at scale.Developing systems for proactive anomaly detection and automation of clustering, significantly easing the management of reliability and enabling early issue detection.

At Waymo, we are pioneers in autonomous driving technology, dedicated to becoming the world's most trusted driver. Since our inception as the Google Self-Driving Car Project in 2009, we have been committed to advancing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver drives our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips facilitated and experience from over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states, we are at the forefront of this technological revolution.The Simulator Team at Waymo is tasked with creating cutting-edge simulations of realistic environments for the rigorous testing and training of the Waymo Driver. Our diverse and collaborative team consists of software engineers, machine learning (ML) engineers, and data scientists, all focused on developing industry-leading simulation solutions utilizing advanced ML algorithms that assess and enhance the Waymo Driver’s performance. We model the real world in detail, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, weather conditions, and a comprehensive sensor suite featuring cameras, LiDAR, and radars.In this hybrid role, you will report to a Senior Engineering Manager.Your Responsibilities:Design and develop robust C++ software systems and infrastructure for our realistic world generation platform, ensuring seamless integration with downstream Waymo applications.Collaborate closely with simulation, onboard, and system engineers, as well as data scientists to drive critical milestones for Waymo.Monitor, enhance, and ensure the performance, scalability, testing, and reliability of our platform.Engage with fellow engineers to architect the long-term vision of the system.

About NuroNuro is at the forefront of self-driving technology, dedicated to making autonomy available to everyone. Established in 2016, we are creating the most scalable autonomous driving solution by merging state-of-the-art AI with robust automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and privately owned vehicles. Proven through years of autonomous deployments, Nuro offers automakers and mobility platforms a clear pathway to commercial-scale AVs, fostering a safer, richer, and more interconnected future.Role OverviewAs a Senior Software Engineer on the Autonomy Visualization team, your primary focus will be on crafting top-tier visualization platforms that empower software engineers to introduce new visualization components efficiently. You will have the chance to engage in end-to-end development of visualization features and products, showcasing your technical prowess, product insight, and collaborative communication abilities.Key ResponsibilitiesDevelop efficient visualization frameworks using C++/OpenGL and Unity for critical functions including autonomy development, validation, triage tools, and in-car visualization.Collaborate with Autonomy engineers to enhance their development workflows through improved visualization techniques.Work alongside ML Labeling teams to create tailored labeling tools that gather high-quality training data.Partner with product managers and designers to deliver refined visualizations for external applications that accurately represent Nuro.