Software Engineer, Routing - Autonomy & Robotics

About ZiplineAre you ready to make a difference? Zipline is dedicated to revolutionizing the logistics of goods delivery. Our mission is to tackle the world's pressing access challenges by creating and operating the first instant delivery system that ensures equitable service to all, regardless of location. From powering Rwanda's national blood delivery service and distributing COVID-19 vaccines in Ghana, to facilitating on-demand home deliveries for Walmart and enabling healthcare access directly to U.S. homes, we are reshaping logistics for businesses, governments, and consumers alike. Our innovative technology is complex, yet our vision is straightforward: a teleportation-like service that delivers essential items exactly when and where they are needed. Through robotics and autonomy, we are not only decarbonizing delivery but also alleviating road congestion, minimizing fossil fuel usage, and reducing air pollution, all while providing access to billions and fortifying a more resilient global supply chain. Join us at Zipline and contribute to our commitment to developing a more equitable and resilient global supply chain for billions around the world.

About Ditto Ditto builds technology for resilient, real-time data flow at the edge. The company’s peer-to-peer synchronization engine keeps devices connected and data consistent, even when internet access is unreliable or unavailable. Organizations like Chick-fil-A, Delta Airlines, and the U.S. military use Ditto to power mission-critical experiences in aviation, retail, travel, hospitality, and defense. With over $145 million in funding, Ditto is a fast-growing, globally distributed startup committed to building a diverse and inclusive team, essential for solving tough connectivity problems in challenging environments. Role Overview: Senior Software Engineer - Autonomy (Remote) This Senior Software Engineer role focuses on autonomy and field deployment. As a Forward Deployed Engineer, work directly with key users to integrate Ditto’s platform into operational environments, especially where robotics and real-time data are essential. The position calls for adaptable engineers who can quickly solve complex technical challenges and reduce the time it takes for customers to realize value from Ditto’s software. Expect to collaborate closely with both users and Ditto’s core product engineering team, relaying technical feedback and feature requests. The work often involves ambiguity, rapid troubleshooting, and direct involvement in field testing. Key Responsibilities Integrate with Robotic Platforms: Lead on-site software integration with unmanned ground, aerial, and maritime systems. Establish reliable data connections between Ditto’s synchronization layer and various robotic autonomy stacks. Develop on ROS2 and DDS Middleware: Design, build, and debug software nodes within ROS2 frameworks. Use DDS (Data Distribution Service) for real-time, publish-subscribe communication between robotic subsystems and Ditto’s platform. Implement MAVLink Integrations: Create and refine MAVLink-based communication channels for telemetry, command, and control of unmanned aerial systems. Ensure dependable data transfer between Ditto’s platform and autopilot firmware. Solve Problems in Real-Time: Act as the first line of technical support during field testing. Diagnose and resolve software, sensor, and communication issues on robotic platforms as they arise. Location Remote. Candidates in Atlanta, Austin, San Francisco, or Seattle are encouraged to apply.

ABOUT ZIPLINEAre you ready to make a global impact? Zipline is on a groundbreaking mission to revolutionize the movement of goods. We strive to overcome the world's most pressing access challenges by developing, manufacturing, and operating the first instant delivery and logistics system that serves all individuals equally, no matter where they are. From facilitating Rwanda’s national blood delivery network and aiding Ghana’s COVID-19 vaccine distribution, to providing on-demand home delivery for Walmart, and enabling healthcare providers to deliver care directly to U.S. homes, we are reshaping logistics for businesses, governments, and consumers alike. Our technology may be complex, but our vision is straightforward: a teleportation service that delivers what you need exactly when you need it. Through our innovative solutions that incorporate robotics and autonomy, we are decarbonizing delivery, alleviating road congestion, and minimizing fossil fuel usage and air pollution, all while ensuring equitable access for billions and fostering a more robust global supply chain.Join Zipline and help us fulfill our commitment to creating a fairer and more resilient global supply chain for billions.

AeroVect is seeking enthusiastic Autonomy Engineering Interns who are passionate about transforming autonomous driving systems into reality. This internship lasts a minimum of 4 months, with a potential pathway to full-time employment.In this dynamic, early-stage startup environment, you will play a crucial role in advancing our Autonomous Driving Software (ADS) stack. Your work will involve the design, simulation, and real-world deployment of a specific autonomy submodule, contributing to the development of a groundbreaking ground vehicle system that revolutionizes cargo movement at major airports worldwide.We are particularly interested in candidates with robust expertise in one or more of the following domains:Perception and Sensor FusionLocalization and MappingVehicle Control, Planning, and Decision MakingThis position requires you to select and utilize both innovative techniques and established off-the-shelf technologies to enhance your ADS module, collaborating with fellow engineers to integrate into the overall system architecture while delivering exceptional value and functionality to the modern supply chain.This is an excellent opportunity for a technically skilled engineer to assist in creating a market-leading enterprise product that merges autonomous vehicle technology with a software-as-a-service (SaaS) business model.As an intern, you will work closely with our co-founders and the Autonomy Lead.Your Responsibilities Include:Defining, leading, and owning the hands-on development of your ADS subsystem module, focusing on key milestones while collaborating with internal and external partners — anticipate spending approximately 75% of your time on hands-on development, with the remaining 25% dedicated to integration with the overall software stack alongside a team of elite engineers to meet ambitious targets.Designing, implementing, testing, and supporting ADS module functionality through simulations and real-world testing in the context of airport environments, including vehicle corridors and airport aprons.Collaborating with the broader engineering team to support all aspects of ground vehicle autonomy, including planning, perception, navigation, and infrastructure subsystems.Teaming up with hardware engineers to develop an integrated system, including calibration and integration tasks.Staying informed about the latest advancements in the field.

Future builds digital personal training experiences that connect people with expert coaches through a seamless app. Since 2017, the company has grown from an idea in a San Francisco café to the largest provider of personal training sessions in the US. In January 2025, Future merged with Autograph, founded by Tom Brady, and is expanding its reach through new partnerships and AI-driven coaching tools. Future continues to invest in technology, grow its coaching roster, and form partnerships with leading athletes. The team is focused on shaping the future of fitness by making expert coaching accessible to more people. Role overview This remote Cloud Infrastructure Engineer position centers on designing, building, and maintaining the cloud platform that underpins Future’s products. The role is hands-on and impacts daily operations for engineering teams, focusing on reliability, security, and efficiency. What you will do Develop and maintain infrastructure-as-code best practices using AWS CDK, keeping cloud resources version-controlled, repeatable, and peer-reviewed. Design and manage AWS infrastructure components, such as ECS, RDS Aurora, API Gateway, S3, and networking, with attention to reliability, performance, and cost efficiency. Build and support an observability stack, including structured logging, distributed tracing, and monitoring, to provide insights into system performance. Requirements Strong experience with AWS and a focus on building resilient, automated systems. Commitment to operational excellence, security, and cost efficiency. Emphasis on enabling engineering teams to deliver work quickly and confidently.

Join Condor Software as a Full-Stack Platform EngineerAt Condor, we are revolutionizing the financial infrastructure that supports clinical development. With billions invested annually in discovering and developing new therapies, we strive to connect clinical operations and finance into a cohesive system. By integrating real-time financial intelligence, we empower R&D and finance leaders with the tools they need to make informed, high-stakes decisions.We are an AI-driven, pharma-native infrastructure provider, scaling industry standards in collaboration with top-tier partners. Our platform facilitates prediction, control, and execution in the most complex R&D environments worldwide.The Importance of Your RoleHaving established ourselves as a trusted partner for enterprise teams, we are now focused on the challenging task of scaling our platform to meet increasing demands. As a rapidly growing company, backed by prominent investors like Felicis and 645 Ventures, this is a unique opportunity to contribute to the foundational infrastructure that will redefine how therapies reach patients.Your ResponsibilitiesAs a Full-Stack Platform Engineer, you will be pivotal in building and scaling the core platform that supports the financial intelligence infrastructure relied upon by leading biopharma companies. This role encompasses critical engineering tasks at the intersection of backend systems, cloud infrastructure, and intelligent automation, with a strong emphasis on reliability and scalability.Your primary focus will be on backend architecture, where you'll design and implement services that drive complex financial and operational workflows. You'll be instrumental in shaping data flow, workflow orchestration, and enabling emerging AI-driven capabilities. This role goes beyond simple integration; you'll be crafting robust primitives that support other teams as our product and customer base expand.Working as a core member of a cross-functional product team, you will closely collaborate with product managers, designers, quality engineers, and data specialists to transition features from concept to production. While backend expertise is crucial, you will also engage across the stack to ensure the platform's capabilities are effectively leveraged.

Senior Manager of Data Platforms & Autonomy Infrastructure San Francisco Bay Area — In Person About Zipline Zipline is pioneering an innovative instant logistics system, utilizing autonomous aircraft to deliver essential and everyday items to individuals precisely when and where they need them. Currently, Zipline boasts the world's largest autonomous delivery network, providing support to healthcare systems, governmental agencies, and commercial partners across various continents. As Zipline expands its operations from tens of thousands to millions of flights daily, the significance of data as core infrastructure cannot be overstated. The mechanisms that determine the data we gather, how we process it, and how teams utilize it directly influence safety, autonomy performance, system uptime, and operational costs. About the Role We are seeking a Senior Manager of Data Platforms & Autonomy Infrastructure to spearhead teams and systems that transform real-world flight data into actionable insights and learning experiences. This pivotal role is responsible for the comprehensive data platform for autonomy and operations, overseeing everything from onboard data logging and ingestion to post-processing, sampling, and the creation of curated datasets utilized by autonomy, hardware, operations, and business teams. The ideal candidate will establish technical direction, build and guide the organization, and ensure the reliability of these systems to accommodate 1 million flights daily with exceptional uptime. This position is particularly suited for leaders who have experience in developing large-scale robotics or autonomy data systems in production environments. This is an in-person position based in the San Francisco Bay Area. Key Responsibilities Set Technical Direction Develop a long-term strategy and roadmap for Zipline’s data, autonomy, and machine learning infrastructure. Establish architectural standards across logging, data ingestion, processing, storage, access/visualization, and machine learning training and evaluation. Balance reliability, performance, cost, and developer productivity across the platform. Support a diverse range of internal stakeholders, including hardware teams, autonomy/software teams, and analytics/business teams. Facilitate Debugging, Learning, and Scalability Enable swift root-cause analysis across autonomy, hardware, and operations.

Join Our Team at ConversionAt Conversion, we are pioneering the future of marketing automation through our AI-driven platform, designed specifically for modern software companies. Traditional marketing tools are often outdated and fragmented, leading to ineffective strategies. Our mission is to repair these broken funnels and misaligned messaging.With Conversion, growth teams can manage their entire go-to-market strategy seamlessly within a single interface. From customer acquisition to activation and retention, everything is streamlined, personalized, and enhanced by AI technology.Having secured over $28 million in funding from notable investors like Abstract Ventures, True Ventures, and HOF Capital, we are experiencing rapid growth with over $5 million in ARR and more than 4000 satisfied customers.Our compact yet high-performing team based in San Francisco is looking for passionate individuals who thrive in a creative, product-led marketing environment. If you're eager to collaborate with top-tier talent and contribute to innovative solutions, we want to connect with you!Over $28M raised in funding$0 to $6M ARR achieved in under a year, serving 4000+ customersJoin an elite team with backgrounds from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, Microsoft, and more

About AnthropicAt Anthropic, we are dedicated to creating AI systems that are not only reliable and interpretable but also steerable. Our mission is to ensure that AI is both safe and beneficial for our users and society at large. Our quickly growing team comprises passionate researchers, engineers, policy experts, and business leaders who collaborate to construct beneficial AI systems.About the RoleWe are seeking talented software engineers to join our Platform organization, where we create foundational tools that enhance product development across Anthropic. You will take ownership of the infrastructure and systems that teams rely on to deliver products reliably and at scale, whether for internal stakeholders or for hundreds of thousands of external users and companies worldwide.This position is ideal for engineers who excel in tackling complex infrastructure challenges and designing systems that are reliable, scalable, and elegant. You will play a pivotal role in defining the performance quality standards for our company, supporting the next generation of LLM-first products, and transforming the developer experience into a best-in-class model.We have several teams actively hiring, and placements will be made post-interview based on your interests and experience, along with our organizational needs. This flexible approach allows us to align talented engineers with the projects where they can have the most significant impact and potential for growth.Platform Acceleration: Your work will focus on maximizing the productivity of our product engineers. You will design and optimize essential development infrastructure that drives our AI product development, including development environments, observability tools, and CI/CD pipelines. Working closely with product teams, you'll identify and eliminate friction points in their development workflows, thus significantly enhancing productivity across our entire product organization and accelerating our mission.Service Infrastructure: We maintain the core systems that underpin Anthropic's engineering efforts, from service mesh and observability systems to deployment pipelines and shared libraries. Our contributions enable product teams to build and operate reliable services at scale, making us a vital multiplier of effectiveness across the entire company.Multicloud: We create and maintain the infrastructure that allows Anthropic to operate seamlessly across multiple cloud providers, emphasizing cloud-agnostic tools, cross-cloud networking, and multi-region deployments.Authentication & Identity: We construct and uphold the critical infrastructure that supports identity management and authentication across Anthropic's platforms.

At Plaid, we envision a future where people's financial interactions are profoundly enhanced. We are committed to driving this change by creating innovative tools and experiences that empower thousands of developers in building their own products. Plaid supports the financial well-being of millions by facilitating seamless connections between users and their financial accounts with the applications they rely on. Our network integrates with over 12,000 financial institutions across the US, Canada, the UK, and Europe. Established in 2013, Plaid is headquartered in San Francisco, with additional offices in New York, Washington D.C., London, and Amsterdam.The Platform Engineering division at Plaid consists of diverse teams focused on essential infrastructure, data management, storage solutions, privacy, and enhancing developer efficiency. Together, these teams ensure that our technology platform remains scalable, robust, and secure to support our rapid expansion. As a Platform Engineer, you will play a vital role in designing, developing, and maintaining the foundational infrastructure and internal platforms that empower all engineering teams at Plaid to innovate swiftly and securely. You will collaborate cross-functionally with product engineering teams to launch new features and uphold operational excellence throughout each product's lifecycle.

In a world where software is rapidly evolving, artificial intelligence (AI) is at the forefront, transforming how we interact with technology. At Scale AI, we recognize the immense potential of AI to enhance human capabilities, offering personalized support across various aspects of life—from coaching and tutoring to shopping and travel guidance. As enterprises, startups, and governments rush to integrate large language models (LLMs) into their operations, it is crucial to ensure these systems are safe, aligned, and effective. This involves rigorous human evaluation and reinforcement learning through human feedback (RLHF) during all stages of model development.Our innovative products, including the Generative AI Data Engine, SGP, and Donovan, are designed to empower the most advanced LLMs and generative models globally. By leveraging world-class RLHF, human data generation, model evaluation, safety, and alignment, we are shaping the future of human-AI interaction.As a member of our Platform Engineering team, you will play a pivotal role in designing and developing the foundational platforms that support Scale's operations. Your responsibilities will include architecting our core cloud infrastructure, enhancing our data lifecycle, and transforming the software development process for engineers at Scale. You will gain invaluable insights into the AI landscape as it develops within diverse sectors.

Mercor’s platform team is looking for a Software Engineer in San Francisco or New York City. The focus is on building and improving the scalable software systems that support the company’s main products. Key responsibilities Design and develop software systems to help the platform grow and stay reliable Add new features and refine existing ones to strengthen platform functionality Collaborate with engineering, product, and design teams to deliver solutions Location This role is based in San Francisco or New York City.

MidiHealth is seeking a Senior Software Engineer to join the Platform Engineering team. This hybrid role is based in the SF Bay Area and centers on building and enhancing the software that drives MidiHealth’s healthcare technology platform. The work contributes directly to improving patient outcomes through technology. Key responsibilities Design and develop software solutions for the core platform Collaborate with engineering, product, and cross-functional teams to deliver integrated features Support the reliability and scalability of the platform Location This position requires regular on-site work in the SF Bay Area as part of a hybrid schedule.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

Join the Team at Bretton AIBretton AI stands at the forefront of artificial intelligence in the financial services sector, providing an essential platform that organizations like Robinhood, Mercury, and Gusto rely on to streamline critical tasks, including anti-money laundering and counter-terrorism efforts.With over $95 million raised from renowned investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are located in the heart of San Francisco. Our talented team hails from prestigious companies including SpaceX, Google, Netflix, Stripe, and Plaid.Your RoleAs a Platform Engineer, you will be instrumental in constructing and maintaining the infrastructure that underpins our compliance solutions at scale. You will take charge of reliability, performance, and scalability across our core platforms.Your responsibilities will include designing Postgres schemas, optimizing queries, developing high-throughput services, orchestrating long-running workflows with Temporal, and ensuring we maintain a commitment to a remarkable 99.9%+ uptime for our clients who process thousands of cases daily.In this role, you'll produce backend code for production, design distributed systems, and manage the infrastructure that allows our product teams to deploy rapidly and efficiently.Key ResponsibilitiesDevelop APIs and services capable of managing thousands of concurrent requests.Create ingestion → assessment → delivery pipelines for our case management.Implement Temporal workflows to manage long-running, stateful processes.Design and refine PostgreSQL schemas and queries for compliance workflows.Oversee CI/CD, deployments, and infrastructure-as-code while enhancing observability through logging, tracing, and metrics.Troubleshoot slow queries, memory leaks, and race conditions in our production systems.What We're SeekingEssential Qualifications4+ years for Engineer / 6+ years for Sr. Engineer / 8+ years for Staff Engineer in backend or infrastructure roles.Strong understanding of systems fundamentals, including distributed systems, databases, APIs, and concurrency.Demonstrated production experience with live systems, including debugging, incident response, and participation in on-call rotations.

Dagster Labs develops tools that enable organizations to build scalable and efficient data platforms. The company’s core offerings include Dagster, an open-source project popular among developers, and Dagster+, a managed cloud solution. These products support thousands of teams, ranging from early-stage startups to established enterprises, in their analytics, machine learning, and AI initiatives. With the rapid growth of AI, the need for reliable, high-quality data has never been greater. Dagster Labs is dedicated to simplifying the testing, comprehension, and usability of data platforms. Many top AI companies have adopted Dagster as a foundational part of their technology stack. Team culture The team operates with strong funding and a collaborative spirit. High standards, open communication, and a focus on trust and curiosity shape the work environment. The company values a workplace free from egos and unnecessary drama. Locations This is a remote-first company with offices in San Francisco, New York, and Minneapolis.

Aura is seeking a talented and experienced Senior Software Engineer, Platform to join our innovative team. In this role, you will be responsible for designing and implementing scalable software solutions that enhance our platform capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality software that meets the needs of our users.

Role overview MidiHealth seeks a Staff Software Engineer for its Platform Engineering team. This hybrid role is based in the San Francisco Bay Area and centers on building software that supports the platform’s growth, performance, and usability. What you will do Design and develop software solutions that address platform engineering challenges Collaborate with experienced engineers to improve reliability and expand platform features Contribute to efforts that boost performance and create a smooth user experience Location This position requires a hybrid schedule, including on-site work in the SF Bay Area.

In a world where software is rapidly evolving, artificial intelligence is at the forefront of this transformation. At Scale AI, we recognize the immense potential of AI to significantly enhance human capabilities. Imagine having a personal tutor, coach, assistant, shopper, travel guide, and therapist available to you throughout your life. As global industries adapt to this revolutionary landscape, leading platform companies are racing to develop large language models (LLMs) at an unprecedented scale, while enterprises strive to integrate these technologies into their existing products. Ensuring these models are safe, aligned, and genuinely useful requires meticulous human evaluation and reinforcement learning from human feedback (RLHF) throughout their development cycle. This innovative approach has given ChatGPT a substantial advantage in the marketplace.At Scale, our offerings include the Generative AI Data Engine, SGP, Donovan, and other advanced tools that drive the most sophisticated LLMs and generative models globally. Our world-class RLHF, human data generation, model evaluation, safety, and alignment are crucial in shaping how humanity will interact with AI.The backbone of these products is our Platform Engineering team. As a Staff Software Engineer, you will play a pivotal role in defining and executing the architectural roadmap and implementation of essential platforms and software systems. You will provide a visionary approach while promoting adoption across our engineering organization for orchestration, data abstraction, data pipelines, identity and access management, and foundational cloud infrastructure. This role offers the opportunity to engage with cutting-edge AI advancements as Scale collaborates with enterprises, startups, governments, and leading tech companies.