Software Engineer, Infrastructure - Autonomy & Robotics

Foxglove develops data infrastructure for robotics teams operating in real-world environments such as factories and warehouses. As robots leave the lab, engineers need reliable tools for analyzing data, diagnosing issues, and improving system performance. Foxglove delivers observability, visualization, and data management solutions designed to help teams manage large volumes of multimodal sensor data from deployed fleets. Role overview This Software Engineer - Robotics Data Infrastructure position centers on building and optimizing the systems behind Foxglove’s products. The scope covers desktop and web visualization tools, backend services for data ingestion and streaming, and client libraries running directly on robots. Work ranges from enhancing decoding performance in Rust, to extending MCAP tooling in C++, integrating new data sources with TypeScript, and occasionally working with customers to resolve performance issues. What you will do Design, build, and deploy product features from start to finish, incorporating feedback from users. Work across the stack: from Rust and C++ libraries on devices, to backend cloud services, to browser-based visualization tools. Identify and address performance bottlenecks in data pipelines, including ingestion, decoding, streaming, and rendering. Contribute to MCAP and other open-source libraries used by the robotics community. Collaborate with customers and robotics engineers to gather requirements and validate new solutions. Maintain high engineering standards and help foster a culture of ownership within the team. Design systems for efficient storage and querying of petabyte-scale robotics data. Requirements At least 5 years of experience developing production software. Strong proficiency in Rust, C++, and TypeScript, with a willingness to learn new languages or frameworks as needed. Location This position is based in San Francisco, CA.

Join Our Innovative Team as a Robotics Software Engineer!Location: San Francisco, CA (full-time, in-person)Company OverviewAt Cosmic Robotics, we aim to revolutionize the construction of essential infrastructure on Earth while developing advanced technologies to facilitate humanity's expansion beyond our planet. Our flagship project, Cosmic-1, is designed to install solar panels at a speed 10 times faster than current methods, propelling us toward a sustainable energy future and laying the foundation for autonomous construction in the years to come.Your RoleAs a Robotics Software Engineer, you will be instrumental in coding, testing, and deploying software for our robots engaged in live field projects. You will be a pivotal member of our team, influencing the future of autonomous construction.Why Join Us?Tackle significant challenges that will shape the future of energy and infrastructure.Collaborate with an elite team hailing from renowned organizations like NASA, SpaceX, Google, and Built Robotics.Experience rapid personal and professional growth within a fast-expanding company.Key ResponsibilitiesDesign, develop, and implement software for robotic manipulation, navigation, and path planning systems.Contribute across the entire software stack, from low-level motor control and sensor integration to high-level application logic.Ensure the safety and reliability of mission-critical systems through comprehensive testing and adherence to best engineering practices.Collaborate with hardware teams to initiate new systems and resolve technical issues.Travel to customer sites for on-site testing and deployment of robotic solutions.Maintain high code quality through reviews, automated testing, and thorough documentation.QualificationsA minimum of 2 years of professional engineering experience.Proficiency in C++, Python, and Linux development.Solid foundation in algorithms, software architecture, planning, and execution.Strong communication and project management abilities.

About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.

Founding Robotics Engineer in AI & SoftwareAre you an innovative engineer with a strong enthusiasm for robotics and AI, thriving in collaborative, cross-functional teams? Join us at Foundry Robotics, a pioneering seed-stage startup dedicated to developing advanced robotics solutions tailored for the manufacturing sector. We are seeking a Founding Engineer to become part of our core team, someone who excels in a dynamic environment, takes significant ownership, and is eager to tackle intricate mechanical and manufacturing hurdles.About UsAt Foundry Robotics, we are transforming the manufacturing landscape through state-of-the-art robotics. Our mission is to rejuvenate the American manufacturing industry with an AI-first approach, focusing on assembly and dual-use contract manufacturing. We strive to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality. As a founding member of our engineering team, your contributions will have a direct and meaningful impact on our products, culture, and overall success. This position requires full-time, in-person work at our office located in the Mission District of San Francisco.The RoleIn the role of Founding Engineer, you will play a crucial part in the design, development, and deployment of AI and software infrastructure for our autonomous robotic systems. This position requires a hands-on approach, a deep understanding of computer vision and VLA models, as well as proficiency in ROS. You will be responsible for creating high-quality, high-performance software that meets the demanding requirements of a manufacturing environment.Key ResponsibilitiesDesign, develop, and implement innovative AI and software solutions for autonomous robotics in manufacturing.Lead the advancement of computer vision algorithms and VLA models to enhance robotic perception and control.Architect and construct robust, scalable, and high-performance software systems optimized for superior reliability.Leverage ROS2 (Robot Operating System) for diverse robotic applications.Collaborate closely with hardware engineers, product managers, and other stakeholders.Take full ownership of critical software components from conception through deployment.Serve as the primary technical liaison with vendors, partners, and customers, representing the company in external interactions.Contribute to the company's overall technical strategy and roadmap.

Join Our Mission to Revolutionize Autonomy in ConstructionAt Bedrock Robotics, we are pioneering the integration of AI in real-world applications. Our innovative team comprises industry experts who contributed to the success of Waymo, facilitated Segment's $3.2B acquisition, and propelled Uber Freight to $5B in revenue. We are at the forefront of deploying autonomous systems in heavy construction machinery nationwide, significantly enhancing the efficiency of multi-billion-dollar infrastructure projects while prioritizing safety on job sites. With an impressive $350M in funding, we are rapidly addressing the escalating demand for housing, data centers, manufacturing facilities, and the pressing labor shortage in the construction sector.This is where groundbreaking algorithms converge with the realities of the construction field. You will partner with seasoned construction professionals and elite engineers to tackle complex challenges that go beyond simulation capabilities. If you are eager to leverage cutting-edge technology to make a tangible impact alongside a talented team, we invite you to apply.Your RoleAs part of the Onboard Infrastructure team, you will be responsible for developing the foundational software and middleware that operates on our onboard computer, utilizing Rust from board bring-up to middleware.We are seeking a Staff Software Engineer to conceptualize and implement our onboard runtime framework. This framework is crucial for the safe and efficient operation of our autonomy stack, allowing our Machine Learning and Controls teams to accelerate their workflows and deliver with assurance.Your ResponsibilitiesDesign and develop the core application runtime framework, incorporating application lifecycle management, deterministic scheduling, and sophisticated configuration systems that manage complex subsystem dependencies.Create high-performance communication systems and zero-copy interfaces for low-latency, real-time sensor data, including cameras and lidars.Build onboard infrastructure to enhance system observability, diagnostics, and ensure deterministic logging and replay capabilities.Establish and uphold coding standards and code quality, promoting Rust best practices while mentoring junior engineers.Collaborate closely with Machine Learning and Controls teams to ensure the platform meets the stringent requirements of advanced autonomy.Required Qualifications10+ years of software engineering experience, with a focus on systems programming in Rust.Proven track record in developing high-performance, real-time systems.Strong understanding of middleware architectures and software design principles.Experience working in collaborative, cross-functional teams.

Become a Key Player in Revolutionizing Construction AutonomyAt Bedrock Robotics, we are pioneering the transition of artificial intelligence from research labs to real-world applications. Our team, composed of experienced professionals who have contributed to the successes of Waymo, Segment, and Uber Freight, is dedicated to deploying cutting-edge autonomous systems in heavy construction machinery across the nation. Our efforts are accelerating billion-dollar infrastructure projects while enhancing job site safety. With $350 million in funding, we are rapidly addressing the increasing demand for housing, data centers, and manufacturing facilities amid the construction industry's labor shortages.In this role, you will bridge the gap between theory and practice, collaborating with seasoned construction experts and top-tier engineers to tackle complex physical challenges that simulations cannot resolve. If you are eager to leverage advanced technology to solve real-world issues as part of a dynamic team, we invite you to explore this opportunity with us.We are on the lookout for a highly skilled Software Engineer to enhance our onboard testing capabilities. You will be responsible for developing comprehensive safety-critical test cases for our machines. Your work will involve close collaboration with our Robotics Platform and Cloud Infrastructure teams to design and implement validation frameworks that operate on actual machinery, in Hardware-in-the-Loop (HIL) settings, and through cloud-based end-to-end simulation. Your expertise will be crucial in integrating systems engineering, simulation, and onboard infrastructure to rigorously test the robot across hardware-software interfaces.The ideal candidate will demonstrate proficiency in creating reusable automation scripts, developing fault injection capabilities, building interfaces with cloud infrastructure, and collaborating with systems engineers to establish a robust testing framework for onboard AI. Your contributions will directly enhance system reliability and safety by identifying edge cases early, ensuring compliance with stringent safety standards.This position is perfect for software engineers who possess a systemic mindset, are aware of the implications of real-world deployments, and prefer developing intelligent solutions rather than merely executing scripts. Strong candidates will be hands-on engineers who are passionate about reliability and have a background in robotics. Some travel to our remote and Bay Area testing sites will be expected to observe and evaluate your tests in action.Join Bedrock Robotics in our mission to infuse autonomy into the construction industry! We are a dedicated group of professionals from the autonomous vehicle sector, committed to making a significant impact.

Position OverviewJoin OpenEvidence as a Data Infrastructure Software Engineer, where you will engineer comprehensive systems that drive essential product and research operations. Your focus will be on optimizing performance, ensuring scalability, and enhancing accuracy, while enjoying the autonomy to manage the infrastructure that assists healthcare professionals in navigating complex clinical decisions in real-time.We value exceptional creators who thrive in versatile roles. Our engineers engage across various products and projects, taking ownership wherever they can make the most significant impact.About OpenEvidenceOpenEvidence is the leading medical AI platform globally, utilized by over 40% of clinicians in the U.S. in just over a year through organic product-led growth. As a $12 billion company, our engineering team comprises 30 talented individuals from MIT, Harvard, and Stanford. We believe that groundbreaking products are born from a small group of exceptional builders, driven by focused goals and empowered to take ownership and act swiftly. We are expanding our team to capitalize on an unparalleled opportunity to set the standard for medical AI platforms.If you are a top-tier engineer or scientist eager to push the boundaries and achieve tangible outcomes that affect millions of lives, we want to connect with you.Our CultureWe expect our work to be performed at an elite level. The journey from concept to execution and scaling is akin to a professional sport, where excellence is non-negotiable. We believe that the creation of innovative technologies is only achievable through complete ownership. Significant achievements happen when individuals take the initiative to see them through.Your ProfileThis role is not for those seeking a 9-to-5 job or merely looking to write papers. If you are ready to dive into the trenches, tackle challenges head-on, and create something from scratch that could impact millions and drive substantial revenue, you might be the perfect fit.We seek brilliant builders who are intelligent, ambitious, resourceful, self-reliant, detail-oriented, driven, hardworking, and humble. Does this sound rare? It is, as we have only found 30 of them so far, and we are eager to discover more.

At Figma, we are expanding our team of dedicated creatives and innovators committed to making design accessible for everyone. Our platform empowers teams to transform ideas into reality—whether you're brainstorming, prototyping, converting designs into code, or utilizing AI for enhancements. From concept to product, Figma enables teams to optimize workflows, accelerate processes, and collaborate in real-time from anywhere in the world. If you're passionate about shaping the future of design and teamwork, we invite you to join us!The Data Platform team at Figma is responsible for constructing and managing the essential systems that drive analytics, AI/ML initiatives, and data-informed decision-making across our organization. We cater to a wide array of stakeholders, including AI researchers, machine learning engineers, data scientists, product engineers, and business teams that depend on data for insights and strategic planning. Our team is tasked with owning and scaling critical platforms such as the Snowflake data warehouse, ML Datalake, orchestration and pipeline infrastructure, and extensive data ingestion and processing systems, overseeing all data transactions that occur within these platforms.Despite our small size, we tackle significant, high-impact challenges. In the upcoming years, we are focused on developing the data infrastructure layer for Figma's AI-driven products, enhancing cost and performance efficiencies across our data stack, scaling our ingestion and reverse ETL capabilities for new product applications, and reinforcing data quality, reliability, and compliance at every level. If you are enthusiastic about creating scalable, high-performance data platforms that empower teams across Figma, we would love to connect with you!This is a full-time role that can be performed from one of our US hubs or remotely within the United States.

Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.The Team You Will Join:As a pivotal member of the Data Warehouse Infrastructure team, you will help shape the backbone of Airbnb's big data capabilities, enabling hundreds of engineers to efficiently collect, manage, and analyze vast amounts of data. We leverage cutting-edge open-source technologies such as Hadoop, Spark, Trino, Iceberg, and Airflow.Typical Responsibilities:Design and architect Airbnb's next-generation big data compute platform to enhance data ETL, analytics, and machine learning efforts.Oversee the platform's operations, focusing on improving reliability, performance, observability, and cost-effectiveness.Create high-quality, maintainable, and self-documenting code while engaging actively in code review processes.Contribute to open-source projects, making a significant impact on the industry.

The Bot CompanyAt The Bot Company, we are on a mission to create an innovative robot that enhances everyday life in homes everywhere.Located in the heart of San Francisco, our compact team comprises talented engineers, designers, and operators hailing from esteemed organizations such as Tesla, Cruise, OpenAI, Google, and Pixar. With a track record of delivering exceptional products to hundreds of millions of users, we understand the intricacies involved in crafting remarkable experiences.Our intentionally lean structure fosters swift decision-making while eliminating unnecessary bureaucracy. Each team member operates as an individual contributor, endowed with substantial autonomy, ownership, and accountability. We thrive on a culture of rapid iteration and efficient execution, working collaboratively across the technology stack.

At Thinking Machines Lab, our vision is to enhance human potential by advancing collaborative general intelligence. We are dedicated to creating a future where individuals have the resources and knowledge to harness AI for their specific objectives and aspirations.Our team comprises scientists, engineers, and innovators who have developed some of the most popular AI products, including ChatGPT and Character.ai, as well as influential open-weight models like Mistral, along with highly regarded open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking a talented engineer to enhance our data infrastructure. You will become part of a dynamic, high-impact team tasked with designing and scaling the foundational infrastructure for distributed training pipelines, multimodal data catalogs, and sophisticated processing systems that manage petabytes of data.Our infrastructure is pivotal; it serves as the foundation for every groundbreaking achievement. You will collaborate directly with researchers to expedite experiments, develop novel datasets, optimize infrastructure efficiency, and derive essential insights from our data repositories.If you are passionate about distributed systems, large-scale data mining, and open-source tools such as Spark, Kafka, Beam, Ray, and Delta Lake, and enjoy building innovative solutions from scratch, we encourage you to apply.Note: This is an evergreen role that we keep open continuously for expressions of interest. We receive a high volume of applications, and while there may not always be an immediate position that aligns perfectly with your skills and experience, we encourage you to apply. We regularly review applications and reach out as new opportunities arise. You are welcome to reapply after gaining more experience, but please refrain from applying more than once every six months. We may also post for specific roles for particular projects or team needs, and in those cases, you are welcome to apply directly in addition to this evergreen role.

Join xdof, where innovation meets opportunity! As we stand at the forefront of robotics and AI technology, we are dedicated to addressing the critical need for high-quality training data. Our mission is to develop sophisticated data collection systems, operational capabilities, and expansive data warehouses that empower our partners to lead the field.As an Infrastructure Engineer, you will be instrumental in creating a robust platform that supports our growing data collection initiatives.Key projects you may work on include:Developing an orchestration system for processing data upon ingestion.Designing an internal platform that allows researchers to experiment with our datasets.Managing a multi-tenant data lake to enhance data accessibility and collaboration.

About Our TeamAt OpenAI, our Data Platform team is at the heart of our innovative approaches to data management, powering essential product, research, and analytics workflows. We manage some of the largest Spark compute fleets in production, architect data lakes and metadata systems on Iceberg and Delta, and envision exabyte-scale architectures. Our high-throughput streaming platforms utilize Kafka and Flink, while our orchestration is powered by Airflow. We also support machine learning feature engineering tools such as Chronon. Our mission is to provide secure, reliable, and efficient data access at scale, thereby enhancing intelligent, AI-assisted data workflows.Join us in building and maintaining these core platforms that are foundational to OpenAI's products, research, and analytics capabilities.We are not just scaling infrastructure; we are transforming the way people engage with data. Our vision includes intelligent interfaces and AI-powered workflows that make data interactions faster, more reliable, and intuitive.About the PositionIn this role, you will focus on constructing and managing data infrastructure that supports extensive compute fleets and storage systems optimized for high performance and scalability. You will be instrumental in designing, developing, and operating the next generation of data infrastructure at OpenAI. Your responsibilities will encompass scaling and securing big data compute and storage platforms, building and maintaining high-throughput streaming systems, ensuring low-latency data ingestion, and facilitating secure, governed data access for machine learning and analytics. You will also prioritize reliability and performance at extreme scales.You will have complete ownership of the full lifecycle: from architecture to implementation, production operations, and on-call responsibilities.You should be experienced with platforms such as Spark, Kafka, Flink, Airflow, Trino, or Iceberg. Familiarity with infrastructure tools like Terraform, along with expertise in debugging large-scale distributed systems, is essential. A passion for addressing data infrastructure challenges in the AI domain is a must.This role is based in San Francisco, CA. We offer a hybrid work model requiring 3 days in the office each week and provide relocation assistance for new hires.Responsibilities:Design, build, and maintain data infrastructure systems including distributed compute, data orchestration, distributed storage, streaming infrastructure, and machine learning infrastructure, ensuring they are scalable, reliable, and secure.Ensure our data platform can scale significantly while maintaining reliability and efficiency.Enhance company productivity by empowering your fellow engineers and teammates through innovative data solutions.

Join us in constructing the data infrastructure that empowers robots to operate seamlessly in the real world.As robotics transitions from research environments into practical applications within factories, warehouses, vehicles, and other deployments, the need for reliable data becomes critical. Engineers must analyze data when robots malfunction, behave unpredictably, or require enhancements.At Foxglove, we provide the observability, visualization, and data infrastructure necessary for this analysis. Our innovative tools support robotics and autonomous systems teams in processing, storing, querying, replaying, and analyzing vast amounts of multimodal sensor data from both live systems and production fleets.About the RoleWe are seeking a Data Infrastructure Solutions Engineer to facilitate the integration of Foxglove into our clients' large-scale data ecosystems. Collaborating with engineering teams across diverse stacks and frameworks, you will design efficient data ingestion and storage workflows, troubleshoot complex performance challenges, and ensure dependable data interoperability on a large scale.This position is perfect for individuals passionate about connecting intricate technical systems with the practical needs of customers. Your insights and expertise will play a pivotal role in shaping the evolution of Foxglove to better support data-driven growth within the robotics and autonomy landscape.Key ResponsibilitiesTechnical Solution Design: Work with customer engineering teams to assess their data architecture and craft scalable ingestion, storage, and visualization workflows that meet their specific systems and requirements.Demonstrations and Evaluations: Create and present technical demonstrations and proof-of-concept projects that replicate real-world data pipelines, illustrating how Foxglove integrates with current infrastructure and tools.Onboarding and Integration: Assist customers from initial setup through to production deployment, ensuring smooth data flow between their systems and Foxglove for optimal performance.Problem-Solving and Troubleshooting: Identify and resolve complex data-related issues, performance bottlenecks, and interoperability challenges during evaluations and initial deployments, collaborating closely with both client and internal engineering teams.Product Feedback: Share structured insights and feature suggestions with Foxglove’s product team based on direct technical interactions and practical data infrastructure applications.Collaboration with Sales: Act as the technical liaison in sales engagements, providing expertise to help illustrate Foxglove's value proposition.

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

About UsBe Part of the Robotic Biomanufacturing Revolution!Multiply Labs is at the forefront of robotics innovation, dedicated to addressing a critical challenge in modern medicine: the automated production of life-saving advanced biologics, including gene therapies, cell therapies, antibodies, and more.Currently, these essential therapies are created using manual and labor-intensive methods, resulting in exorbitant costs—often between $500K and $2M per patient—restricting access for many who need them.As the complexity of products grows and the stakes of failure and scientific labor escalate, the industry is increasingly turning to automation. Robotics and AI are paving the way for a future where biologics manufacturing is feasible, dependable, and economically scalable.We envision a future where biomanufacturing is robotic, closed, automated, and scalable—guaranteeing that vital therapeutics are available to every patient in need.Why This MattersWe aren’t just manufacturing robots—we’re creating the essential infrastructure for the next generation of biologics. Our technology empowers biopharma companies to scale production seamlessly without altering their scientific foundations, minimizing regulatory obstacles and reducing costs, thereby expanding access to these treatments.The Stack & The ScaleThe Mission: Craft the world’s finest robots to ensure life-saving therapies are accessible to all.

About Fable SecurityAt Fable Security, we recognize that AI-driven threats and human error pose significant risks to enterprise security. Cybercriminals exploit human behavior, which is responsible for over 70% of security breaches. Our mission is to empower individuals with the right tools, transforming them from targets into an active line of defense.We have developed a human risk platform that effectively shapes employee behavior. Our user-friendly and scalable platform integrates complex employee data, identifies risky behaviors, and automatically delivers timely, relevant interventions where employees are most engaged—in real time.Supported by renowned investors such as Redpoint Ventures and Greylock Partners, and founded by members of the Abnormal Security team, Fable is addressing one of cybersecurity’s most pressing challenges within a multi-billion-dollar market. Our diverse team includes alumni from Meta, Twitter, and prestigious universities like Columbia, Stanford, and UCLA. As we experience rapid growth, this is a prime opportunity to contribute to and influence the future of security.Why Join UsHelp us build and scale the core data infrastructure that drives a groundbreaking product.Collaborate with engineering, data science, and product teams to operationalize data effectively at scale.Be part of a small, elite team where your contributions will have a significant impact.As part of an early-stage company, every engineer plays a crucial role in shaping product functionality and evolution. You will define not only the technical architecture but also the company’s data philosophy.Your RoleIn the position of Data Infrastructure Engineer, you will be responsible for the architecture, scalability, and reliability of our data platform.You will design and construct systems that support everything from real-time product functionalities to internal analytics and machine learning processes, covering the spectrum from data ingestion to production-ready datasets. Additionally, you will establish best practices that underpin our data-driven products.This role is highly cross-functional, requiring close collaboration with engineering, data, and product teams to ensure our data foundation evolves in tandem with our growth.ResponsibilitiesDesign, develop, and sustain scalable data systems.Implement best practices for data architecture and management.Collaborate with cross-functional teams to facilitate data-driven decision-making.

Innovating the Future of SoftwareAs we approach 2026, the software industry is facing an unprecedented challenge: the 'infinite software crisis.' At Sazabi, we are dedicated to redefining how engineering teams support, maintain, and operate the rapid growth in application development.Introducing Sazabi: The AI-Native Observability Platform for Agile Engineering Teams.Our platform empowers teams by providing a centralized solution to inquire about their production systems in natural language, visualize system activities automatically, and diagnose issues ten times faster.Say goodbye to tedious instrumentation, dashboard setups, and alert tuning—just straightforward answers.We are proud to be backed by pioneers from leading AI organizations, including Vercel, Graphite, Daytona, Browserbase, LangChain, Mastra, Replit, and others.

Who We AreBaton is Ryder’s innovative product development division dedicated to leveraging cutting-edge technologies to transform the transportation and logistics landscape. Managing over $10 billion in freight, our technology has a significant impact across the U.S. economy.We are committed to creating and delivering software that not only meets but exceeds the needs of Ryder and its 50,000+ clients, which includes some of the most recognized brands globally. Our projects range from user-centric applications to the robust data platform that will drive the future of Ryder’s innovations.Baton’s mission: To enable a supply chain that operates on autopilot.Since Ryder’s acquisition of Baton in 2022, we have been operating with the agility of a startup while benefiting from the extensive reach of a Fortune 500 company. If you're passionate about tackling intricate challenges and making a real impact in the backbone of the American economy, you’ll thrive with us.Role: Software Engineer - InfrastructureDepartment: Data PlatformLocation: Hayes Valley, San Francisco, CA