Flight Software Engineer

Software Engineer, Delivery Network Platform Join Zipline, where we are revolutionizing logistics with an autonomous delivery network. As part of the Delivery Network Platform team, you will develop the foundational systems that enable aircraft, sites, and infrastructure to operate seamlessly in live delivery scenarios. Your work will involve creating software solutions that provide operators with real-time insights and control, designing orchestration systems that manage fleet movements, and developing validation platforms to ensure the network's reliability as it scales. Your Responsibilities You will be responsible for software systems that are pivotal to fleet operations, including: Network Operating Center software for real-time visibility and interventions across aircraft, sites, missions, weather, and demand. Fleet orchestration systems for assignment, routing, scheduling, and rebalancing tasks. Maintenance and asset health systems linking issue detection to service readiness. Simulation and validation platforms to assess topology, load, and policy changes prior to production. Platform interfaces and configurable control planes that empower other teams to safely extend the network. Tackling Complex Challenges Unlike typical software roles focused on digital experiences, this position plays a critical role in managing a live autonomous logistics network. You'll address challenges such as: Maintaining an accurate real-time view of aircraft and essential site assets across the network. Ensuring the network remains operational amidst shifting demand, changing weather conditions, infrastructure issues, or capacity constraints. Creating user-friendly operator control interfaces that facilitate quick and accurate decision-making under pressure. Simulating potential future network behaviors to mitigate risks before they impact production. These systems directly affect operational performance. You will own significant components of the platform, make critical technical and product decisions, and have a substantial impact on the network's effectiveness. Team Dynamics Our team operates with a strong emphasis on ownership, trust, and high technical standards. Engineers are expected to identify significant problems, develop a clear vision for system functionality, and drive solutions from conception to production. Additionally, we encourage engineers to leverage AI tools to enhance exploration, implementation, and debugging processes while upholding strong engineering principles, judgment, and accountability.

Join Lyft's cutting-edge team as a Senior Software Engineer focused on Autonomous Vehicle technology. You will play a pivotal role in developing software solutions that enhance the safety and efficiency of our autonomous fleet. Your work will directly impact the future of transportation, making it safer and more accessible for all.

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, Waymo has tirelessly worked on the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and prevent countless lives lost to traffic accidents. Our innovative Waymo Driver powers a fully autonomous ride-hailing service and is adaptable to a variety of vehicle platforms and applications. With over ten million rider-only trips and a wealth of experience from autonomous driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are leading the charge towards safer roads.As a Tech Lead for the software-fault release evaluation team, you will spearhead the development of a comprehensive system that executes a simulation-based "virtual driver’s test" for the Waymo Driver. This initiative is critical in identifying lingering software faults, such as "divide-by-zero" or "out-of-memory" errors, which could compromise the reliability of the Waymo Driver in real-world scenarios.

About Mach IndustriesEstablished in 2022, Mach Industries is a dynamic and innovative defense technology firm dedicated to pioneering next-generation autonomous defense platforms. Our mission centers on providing scalable, decentralized defense systems that bolster the strategic capabilities of the United States and its allies. With a passionate team of approximately 220 employees, we embody the agility and ambition of a startup.We aim to transform the future of warfare through exceptional manufacturing, rapid innovation, and a steadfast commitment to national security. Our focus is on addressing the challenges of modern warfare with advanced systems designed to deter kinetic conflict and enhance global safety.The RoleAs a Software Engineer, you will be instrumental in the creation of our autonomous defense systems. Your responsibilities will include designing, developing, and optimizing mission-critical applications with an emphasis on real-time performance, reliability, and security. This role requires technical expertise, flexibility, and a sense of ownership, as you will engage with the entire software stack to craft and launch high-performance systems within a fast-paced environment.Key ResponsibilitiesDevelop, test, and sustain software for autonomous defense platforms, guaranteeing exceptional performance, reliability, and security.Craft and implement efficient, thoroughly tested code in C++, Rust, Python, or C to power real-time systems.Design end-to-end software solutions, from low-level firmware to high-level mission software.Collaborate closely with embedded engineers, GNC specialists, and systems engineers to ensure seamless integration of hardware and software.Optimize software for real-time execution, ensuring low-latency operation on embedded platforms and edge computing systems.Adopt secure coding practices to fortify software against cyber threats and comply with defense cybersecurity standards.Utilize DevOps, CI/CD pipelines, and automated testing to enhance software development and deployment efficiency.Diagnose, debug, and enhance complex software systems, ensuring they fulfill mission-critical reliability standards.

About MagicalMagical is a cutting-edge automation platform that integrates advanced AI technology into the healthcare sector, providing AI agents that deliver tangible results in production environments.Our mission is to create AI-driven "employees" that streamline tedious, time-intensive workflows that hinder team productivity. We focus on the healthcare industry—a $4 trillion sector entangled in administrative challenges—by automating processes like claims processing, prior authorizations, and eligibility checks, allowing healthcare providers to dedicate more time to patient care.Our AchievementsThe move towards agentic automation in healthcare is on the horizon, and we are at the forefront:Significant revenue growth as clients expand into new workflows prior to renewalRapid 7-day proof-of-concept implementations that showcase real value, unlike the typical months-long processes in the industrySelf-healing automations that are reliable and scalable in production environments, a feat where many competitors struggleUnlike many AI companies that make grand claims, we deliver dependable solutions that yield measurable outcomes. Our funding partners include Greylock, Coatue, and Lightspeed, with a total of $41M raised. Our founder, Harpaul Sambhi, has previously achieved success by selling his first company to LinkedIn.About the RoleAs the Engineering Manager for our Autonomous team, you will lead and grow a talented group of engineers committed to shaping the future of AI agent development, continually pushing the limits of AI and backend system capabilities.Your passion for management will shine as you nurture the professional growth of your engineers. You possess the technical expertise necessary to engage in intricate architectural discussions and translate complex technical hurdles into clear business strategies. In this position, you will be a vital link between our product vision and technical implementation.This role offers a hybrid work environment, requiring 2 days a week in our San Francisco office.

Flexport is looking for a Staff Software Engineer to join the Autonomous Freight Systems group in San Francisco, California. This role focuses on building and improving the technology that powers autonomous freight operations at Flexport. Key responsibilities Collaborate with teams across disciplines to design and implement solutions that make logistics processes more efficient and reliable. Use software engineering skills to advance the development of autonomous freight systems. Support projects that help grow and stabilize Flexport’s freight technology platform. Location This position is based in San Francisco, California.

Role overview Flexport seeks an Engineering Manager to lead the Autonomous Freight Systems team in San Francisco. This role focuses on developing technology that automates and streamlines freight and logistics operations. The manager will guide a group of engineers as they create solutions aimed at improving operational efficiency. What you will do Lead and mentor engineers working on autonomous systems for freight operations Oversee the design and rollout of new technology within the logistics sector Work to enhance processes and increase efficiency using automation Location Based in San Francisco, California, United States.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. Our Waymo Driver powers a fully autonomous ride-hail service and is adaptable to various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has autonomously navigated more than 100 million miles on public roads and billions in simulation across more than 15 U.S. states.Waymo’s commercial operations are already active in several cities, with ambitious plans for significant expansion in the years ahead. The supporting infrastructure is in its early stages and demands substantial investment to evolve into a high-scale, world-class service. The rising demand for our ride-hailing service will necessitate the evolution of our systems, creating an environment rich with opportunities to tackle complex, high-impact, cross-functional challenges.Team: Fleet ManagementProject: Workshop management dedicated to planning and implementing vehicle maintenance and uptime software.In this hybrid role, you will report to an Engineering Manager.

AeroVect is seeking a highly skilled Staff Engineer to elevate our autonomous driving systems within structured, low-speed environments. In this pivotal role, you will spearhead the growth and development of our core autonomy software team in a dynamic, early-stage startup environment. Your extensive experience in building production-grade systems will drive the AeroVect Driver to new heights, establishing industry-leading vehicle autonomy tailored for the airport operational design domain.Your responsibilities will encompass leading the design and implementation of vital enhancements across core modules such as planning, prediction, perception, localization, and controls. You will integrate both innovative techniques and reliable, off-the-shelf solutions to optimize all autonomous driving and towing functionalities, delivering exceptional value and efficiency to the modern supply chain.This role presents an exciting opportunity for a technically adept, hands-on leader to contribute to a groundbreaking enterprise product that merges autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. You will report directly to our co-founders.Key Responsibilities:Define, lead, and manage the development of an autonomous driving stack specifically designed for structured logistics environments. Anticipate spending 70% of your time on hands-on development while dedicating the remaining 30% to defining project requirements, managing schedules, overcoming challenges, mentoring the team towards ambitious goals, and building a team of elite engineers.Oversee a team of engineers responsible for the deployment of all components essential for dependable autonomous driving operations in the airside environment, including vehicle corridors and apron areas.Design, implement, test, and maintain all facets of ground vehicle autonomy, incorporating planning, prediction, perception, localization, controls, and infrastructure subsystems.Ensure all subsystems are qualified using objective metrics, with a strong focus on functional safety and adherence to systems engineering best practices.Collaborate with vehicle engineering teams to forge an integrated system, addressing sensor and computing selection and integration.Stay informed of the latest advancements in the field.

In the realm of autonomous vehicles, the ability to perceive the environment is crucial for making intelligent decisions. At Waabi, our Onboard Sensors Team is dedicated to equipping our robot trucks with this vital vision. As we expand our dynamic team, we seek talented individuals to assist in the integration, deployment, ruggedization, and production of our sensor systems, enabling the Waabi Driver to adeptly navigate roads and highways. Join us in redefining the future of freight transport while working with live vehicles every day, enhancing our sensor platform to realize our ambitious vision.Your Responsibilities:- Collaborate in shaping the Waabi sensors platform as we scale up.- Tackle complex integration challenges across various sensor modalities (LIDAR, RADAR, cameras, etc.).- Deploy and troubleshoot software on actual vehicles operating in real-world conditions.- Integrate new sensor technologies into both current and future onboard platforms.- Collaborate closely with multidisciplinary teams to design and implement innovative sensor solutions.- Partner with operations teams to analyze live system behavior, address issues, and formulate strategies for system improvement.Qualifications:- Minimum of 5 years of experience in developing fielded sensor systems (including cameras, LIDAR, RADAR, GPS, IMU).- Strong collaborative skills, engaging with large, multidisciplinary teams spanning engineering and operations.- Passion for writing efficient, maintainable, and testable code.- Proficient in C/C++ or Rust (our primary language) within resource-constrained environments.- Proven ability to independently lead engineering initiatives addressing critical systems challenges.- Experienced in deploying and debugging Linux systems at a low level.- Strong understanding of temporal aspects in coordinated systems.- Enthusiastic about advancements in self-driving technologies.- Basic electronics experience, including the ability to read schematics and utilize essential testing equipment.

DoorDash Labs is an innovative team at DoorDash, dedicated to developing autonomous delivery robots and cutting-edge autonomy solutions that power DoorDash's delivery platform, utilized by millions worldwide. If you are passionate about the intersection of robotics and service technology, we would love to connect with you!About the RoleWe are on the lookout for a highly skilled and hands-on Senior Electrical Engineer to spearhead the design and development of electrical systems for our four-wheeled autonomous delivery robot. This pivotal role involves delivering high-quality, production-ready hardware that encompasses high-speed digital design, PCB assembly, RF integration, harnessing, and board-level packaging.This position is highly technical, ideal for individuals who can navigate both system-level concepts and intricate circuit designs with ease.What You’ll DoDesign and innovate electrical systems for a complex mobile robotic platform, from initial concept to production.Lead high-speed digital design initiatives, including PCIe, MIPI, Ethernet, DDR, and multi-gigabit SERDES.Oversee PCBA development, including schematic capture, stack-up definition, layout guidance, impedance control, and design for manufacturability.Drive RF integration efforts including Wi-Fi, LTE/5G, GNSS, Bluetooth, RADAR, and LiDAR, focusing on antenna placement, layout constraints, and signal integrity.Develop and assess cable harness designs, connector selection, grounding strategies, and environmental robustness.Collaborate closely with mechanical engineers on board packaging, thermal management, vibration resistance, and environmental sealing.Define and implement power distribution architectures, battery interfaces, protection circuits, and system monitoring.Ensure adherence to EMI/EMC and regulatory standards (FCC/CE) including CISPR-25 and FCC Part 15 Class A.Support prototype builds and troubleshoot hardware/firmware interface issues, quickly identifying root causes and driving corrective actions.Establish design standards and conduct comprehensive design reviews within the electrical engineering team.Engage cross-functionally with firmware, robotics, systems, manufacturing, and reliability teams.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, our mission has been to develop the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and product applications. Having completed over ten million rider-only trips, our technology has autonomously navigated more than 100 million miles on public roads and participated in extensive simulations across 15+ U.S. states.With our commercial service operational in several cities and ambitious plans for substantial growth, we are in the early stages of developing the necessary infrastructure to support this expansion. The increasing demand for our ride-hailing service presents a unique opportunity to evolve our systems, offering a dynamic environment to tackle complex and impactful cross-functional challenges.Team: Fleet ManagementProject: Workshop management; focused on planning and executing vehicle maintenance and uptime software.In this hybrid role, you will report to an Engineering Manager.

AeroVect is seeking a highly skilled Senior Planning Engineer to contribute to the design of cutting-edge planner systems for autonomous driving in structured, low-speed environments.In this pivotal role, you will take ownership of, enhance, and scale a critical planning module within our fast-paced, innovative startup. Drawing on your expertise in developing production-grade planners, you will elevate the AeroVect Driver to adeptly manage a variety of driving scenarios, establishing a benchmark for vehicle autonomy in airport operational design.Your responsibilities will encompass leading the system design and executing key enhancements to the existing AeroVect planner, which includes the global mission planner, behavior planner, and motion planner.As a generalist engineer, you will be integral to the core autonomy team, focusing on system requirements and validating autonomous driving capabilities across multiple areas of the autonomy stack. Your key tasks will involve designing, implementing, testing, and documenting robotic systems and features in C/C++ across both desktop and embedded platforms.This is an exciting opportunity for a technically adept and hands-on team leader to help forge a market-defining enterprise product that merges autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. You will work closely with our co-founders and the autonomy engineering team.Key ResponsibilitiesDefine, implement, and take ownership of practical enhancements to the core planner module, focusing on achieving milestones, expanding the team, and collaborating with internal and external partners. Expect to dedicate 80% of your time to hands-on development while leading the planning module roadmap, managing schedules, eliminating obstacles, and mentoring the team to achieve ambitious goals.Lead a team of engineers in deploying all components essential for reliable autonomous driving in airside environments, including vehicle corridors and aprons.Design, implement, test, and support all facets of ground vehicle autonomy, which includes planning, prediction, perception, localization, controls, and infrastructure subsystems.Qualify all subsystems using objective metrics, with a strong emphasis on functional safety and adherence to systems engineering best practices.Collaborate with vehicle engineering teams to develop an integrated system, encompassing sensor and compute selection and integration.Stay informed about the latest advancements in the field.

About Emergent Labs Emergent Labs Inc. builds autonomous coding agents that translate plain-language instructions into production-ready software. Our systems support development at a global scale, powering millions of real-world applications. Growth and Impact $100M ARR reached within 8 months of public launch Platform serves 6 million users in over 190 countries More than 6.5 million applications created on our platform Raised over $100 million from investors such as Khosla Ventures, SoftBank, Google, Lightspeed, Prosus, Together, and Y Combinator Mission and Team Our mission focuses on solving the toughest problems in AI-driven software: correctness, reliability, security, and scalability in real production environments. The team includes experienced founders, Olympiad medalists, and former leaders from Google, Amazon, and Dropbox. Who We’re Looking For We value builders ready to take ownership and drive meaningful change on a global scale.

Join Waabi as a Senior / Staff Software Engineer specializing in Mapping, where your expertise will drive the development of cutting-edge mapping technologies. You'll be part of a dynamic team dedicated to revolutionizing the autonomous vehicle landscape. Your role will involve creating robust mapping solutions that enhance navigation and safety in real-time.

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, Waymo has tirelessly worked on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives that are lost in traffic accidents. The Waymo Driver not only supports our fully autonomous ride-hail service but can also be adapted across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive autonomous driving experience of over 100 million miles on public roads, our technology is revolutionizing transportation across 15+ U.S. states.Your responsibilities will include:Designing, developing, modifying, and testing cutting-edge software for self-driving vehicle applications and associated products at Waymo.Building scalable machine learning systems to accurately model complex behaviors across various agents, environments, and scenarios.Utilizing both C++ and Python to seamlessly integrate machine learning models into our simulation pipelines.Maintaining, upgrading, and supporting existing code, as well as participating in the redesign and reimplementation of Waymo's software components.Creating automated workflows and applications to support Waymo’s self-driving software development and releases.Leading the development of ultra-realistic simulations through advanced machine learning techniques, including generative models.Providing vital support and guidance to release managers and product engineers to enhance code reliability, test infrastructure, and production systems.Developing software tools and frameworks to facilitate the maintenance and improvement of Waymo's software infrastructure, including monitoring and alerting systems.Formulating processes and strategies aimed at optimizing self-driving system efficiency and safety.Analyzing complex technical data and formulating strategic recommendations to resolve advanced technical challenges.Driving innovation in simulation realism to bolster the safety and performance of the Waymo Driver.Collaborating with AI research teams to transition state-of-the-art methodologies into robust, production-ready solutions.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, our primary goal has been to develop the Waymo Driver—The World’s Most Experienced Driver™. Our innovations aim to enhance mobility access while saving countless lives lost to traffic accidents. The Waymo Driver powers our fully autonomous ride-hail services and is adaptable across various vehicle platforms and product applications. Having completed over ten million rider-only trips, our technology has autonomously navigated over 100 million miles on public roads and executed tens of billions of miles in simulations across more than 15 U.S. states.Your Role:Lead the technical strategy for the Simulator’s issue response lifecycle, encompassing automated detection, root cause analysis, and the deployment of both temporary and permanent software solutions to prevent future regressions.Direct complex, cross-functional projects to enhance automated issue detection by integrating new data sources and signals, thus reducing the time from an in-field event to mitigation deployment.Work closely with Data Science, Systems Engineering, and operations teams to improve technical processes and tools, accelerating the deployment and validation of solutions for identified issues.Mentor mid-level and junior engineers on sophisticated technical challenges, best practices in system architecture, and high-quality software development, serving as a technical force multiplier.

Lyft is building new ways to connect and serve communities. The company values diversity, inclusion, and the growth of every team member. Role Overview As Business Development Manager for Autonomous Vehicles, work at the intersection of technology and transportation in San Francisco, CA. The shift to autonomous vehicles is a major focus for Lyft. This role shapes how Lyft partners with leading AV providers, from technology startups to OEMs and fleet operators. What You Will Do Develop and launch new partnerships with autonomous vehicle companies Build and manage a pipeline of business opportunities in the AV space Collaborate across teams to support AV partners throughout the value chain Help define Lyft’s strategy as a marketplace and operational partner for AV providers Work Environment Expect a collaborative setting where new ideas are encouraged. The pace is quick, and innovation drives decisions. This position has a direct impact on the future of Lyft’s AV partnerships.

Lyft is building partnerships to support the future of autonomous vehicles. The company aims to be the top marketplace and operational partner for leading AV providers, technology companies, OEMs, and fleet operators. This work sits at the center of Lyft’s growth strategy as autonomous vehicles become a larger part of mobility. Role overview The Senior Manager of Autonomous Vehicle Partnerships will lead efforts to develop and strengthen relationships with AV partners. This role shapes how Lyft collaborates with technology providers, manufacturers, and fleet operators, working to create commercial value for all parties. Success means creating partnerships that help both Lyft and its partners grow and succeed together. What you will do Build and manage strategic relationships with AV companies, OEMs, and fleet operators Represent Lyft as a key partner throughout the AV value chain Work across teams to support AV integration and operations on the Lyft platform Identify new partnership opportunities and negotiate agreements that benefit both Lyft and AV partners Foster collaboration and communication between internal teams and external partners Location This position is based in San Francisco, CA.