Data Platform Software Engineer

Role overview Speechify seeks a Software Engineer specializing in Data Infrastructure and Acquisition at its Palo Alto, CA office. This position focuses on building and refining the data pipelines and backend systems that support Speechify’s text-to-speech products. What you will do Design, develop, and improve data pipelines to meet product and business requirements Collaborate with engineering, product, and data teams to maintain reliable data flows Contribute to systems that support data-driven decisions and ongoing product improvements

Join Mashgin as an Infrastructure Software Engineer and be a part of our innovative team dedicated to enhancing the efficiency of our cutting-edge technology. You will play a critical role in designing, developing, and maintaining robust infrastructure systems that power our products and services. Your expertise will help us streamline operations, improve performance, and ensure reliability across our platforms.

Senior Software Engineer, Infrastructure About Ladder At Ladder, we identified a significant issue in the life insurance sector: the lengthy application process, the excessive paperwork, and the numerous in-person meetings with agents. Motivated by personal loss, our CEO, Jamie, set out to simplify the process of obtaining essential coverage for families. We innovated real-time underwriting using AI, transforming the months-long life insurance application into a matter of minutes. Our user-friendly digital experience ensures instant decisions and has garnered exceptional user reviews, with over $74 billion in coverage issued. About the Role We are in search of a Senior Software Engineer who will enhance developer productivity within Ladder's engineering team. You will take charge of modernizing our CI/CD pipelines, build systems, and developer tools, while also contributing to the robustness of our cloud infrastructure and data platform. The ideal candidate will possess a proven track record in software engineering, demonstrate leadership qualities, and have a thorough understanding of engineering infrastructure. This position is remote, available in any of the 22 states where Ladder is hiring: AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI. Please note that Ladder is not sponsoring or transferring OPT or H1-B visas at this time. How You’ll Make a Difference As a senior engineer in our team, your responsibilities will extend beyond coding; you will influence our platform strategy. Your contributions will include: Enhancing developer velocity across the engineering organization by measuring and optimizing the developer workflow, which encompasses build times, test parallelization, deployment speeds, and daily tooling. Shaping the architecture of Ladder’s production infrastructure by evaluating design trade-offs and making impactful technical decisions, such as transitioning from custom monitoring tools to native cloud provider integrations or redefining data pipeline rebuild processes in response to upstream logic changes. You will have the insight to see the holistic view across systems and determine where to allocate engineering resources effectively. Engaging in incident response for infrastructure issues, leading retrospectives, and ensuring actionable follow-through on resolutions.

Join Rubrik, Inc. as a Senior Software Engineer specializing in API Infrastructure. In this role, you will play a pivotal part in designing and developing robust and scalable APIs that empower our cloud data management solutions. Your expertise will help shape the future of our platform, driving innovation and enhancing our product offerings.

At Rhoda AI, we are pioneering the development of a comprehensive technology stack for the future of humanoid robotics. Our focus ranges from high-performance, software-defined hardware to cutting-edge foundational models and video world models that govern these systems. Our robots are engineered as versatile generalists, adept at navigating complex, real-world scenarios that extend beyond conventional training environments. Collaborating at the forefront of large-scale learning, robotics, and systems, our research team comprises distinguished experts from renowned institutions such as Stanford, Berkeley, and Harvard. With an impressive funding of over $400 million, we are committed to substantial investments in research and development, hardware innovation, and the scaling of manufacturing processes to bring our vision to life.Position OverviewWe are currently seeking a Senior ML & Data Infrastructure Engineer to take ownership of and enhance our data model training pipeline. This role encompasses the entire lifecycle, from raw data ingestion and storage to sophisticated indexing, retrieval, and throughput optimization at an unprecedented scale.Key ResponsibilitiesDesign, develop, and scale a robust data infrastructure capable of processing and managing billions of video clips while ensuring reliability, low latency, and cost-effectiveness.Create and optimize large-scale storage solutions, including cloud object storage and databases, tailored for multimodal datasets.Develop high-performance indexing and retrieval systems to facilitate rapid dataset querying, filtering, and iteration for both research and production applications.Establish observability frameworks for data pipelines that encompass monitoring, alerting, failure recovery, and performance enhancements.Implement intelligent workload distribution and throughput enhancements across distributed compute and storage infrastructures.Oversee data artifacts, versioning, and lineage to guarantee reproducibility and traceability throughout training cycles.Create user-friendly internal interfaces and lightweight tools that empower researchers and engineers to explore, query, and analyze extensive datasets efficiently.Facilitate the integration and scalable deployment of vision-language models (VLMs) within data pipelines for purposes such as screening, enrichment, or metadata generation.QualificationsA minimum of 5 years of experience in data infrastructure, distributed systems, machine learning infrastructure, or a closely related field.Proven expertise in developing and managing large-scale data pipelines and storage solutions.Strong programming skills in languages such as Python, Java, or Scala, and proficiency with data processing frameworks.Experience with cloud-based storage solutions and databases, as well as knowledge of multimodal data management.Ability to work collaboratively in a fast-paced, innovative environment.

Role Overview Latitude is looking for a Senior Software Engineer focused on Test Infrastructure. This role centers on strengthening testing frameworks to help deliver reliable software. The position is available in Pittsburgh, PA, Palo Alto, CA, or Detroit, MI. What You Will Do Work closely with teams across engineering, product, and QA to support development efforts. Design, build, and maintain test infrastructure that supports software quality. Help improve and extend frameworks used for automated and manual testing.

Senior Software Engineer, Cloud & Infrastructure | Software EngineeringPalo Alto, CA (on-site)At 1X, we are at the forefront of innovation, developing humanoid robots that collaborate with humans to address labor shortages and foster abundance.In this pivotal role, you will spearhead the design and implementation of sophisticated software that bridges the physical and digital realms of our global robotic operations. From deployment tools and fleet management solutions to customer interfaces and internal operational platforms, your goal is to develop systems that can scale from hundreds to tens of thousands of robots. You will take charge of architectural decisions, construct core components, and mentor engineers across the technology stack, ensuring reliability, simplicity, and performance throughout.

About xAIAt xAI, we are driven by our mission to develop AI systems that profoundly understand the universe and assist humanity in its quest for knowledge. Our team is composed of passionate individuals who thrive on challenges and curiosity, emphasizing engineering excellence. We maintain a flat organizational structure where every member is expected to actively contribute to our mission. Leadership is earned through initiative and consistent delivery of excellence, fostering a strong work ethic and prioritization skills. Effective communication is essential, enabling team members to share insights and knowledge clearly.About the RoleThe Compute Infrastructure team at xAI is tasked with the design, construction, and management of extensive clusters and orchestration platforms that facilitate cutting-edge AI training, inference, and agent workloads at an unprecedented scale. In this role, you will redefine container orchestration beyond current systems like Kubernetes, manage exascale computing resources, optimize for high-performance training runs and production services, and work closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that powers xAI's next-generation models and applications.ResponsibilitiesConstruct and oversee large-scale clusters to host, persist, train, and serve AI workloads with exceptional reliability and performance.Design, develop, and enhance an in-house container orchestration platform that surpasses off-the-shelf solutions in scalability, isolation, resource efficiency, and fault-tolerance.Collaborate with research teams to architect and optimize compute clusters tailored for extensive training runs, inference services, and real-time applications.Profile, debug, and resolve intricate system-level performance bottlenecks, resource contention, scheduling dilemmas, and reliability issues across the entire stack.Take ownership of end-to-end infrastructure initiatives employing first-principles design, rigorous testing, automation, and continuous optimization to meet the demands of frontier AI compute.

Join a Revolutionary CompanyAt Palantir, we are at the forefront of developing cutting-edge software that drives data-driven decision-making across various industries. Our innovative platforms empower organizations to tackle complex challenges—from discovering groundbreaking pharmaceuticals to predicting supply chain disruptions and reuniting families with missing children.The OpportunityAre you enthusiastic about enhancing software quality and performance while amplifying the impact of your engineering peers?As a Software Engineer in Palantir’s Foundations organization, you will play a pivotal role in shaping the infrastructure that supports our flagship platforms: Palantir Foundry, Palantir Gotham, and Palantir Apollo. You will have the chance to accelerate your professional growth as you contribute to building the foundational infrastructure that drives our engineering excellence.Within the Foundations organization, our teams consist of a small, dedicated group of engineers, each specializing in one of four critical infrastructure areas:• Backend Infrastructure: Focuses on maximizing the productivity of our backend developers while ensuring that Palantir’s platforms deliver high-performance and reliable RESTful services. Your work will involve creating infrastructure that allows for efficient management of numerous micro-service repositories and maintaining comprehensive audit logs of user activities.• Developer Infrastructure: Manages the systems and services that form the backbone of our developer ecosystem, incorporating both standard tools like GitHub and customized solutions for automating changes across multiple repositories.• Frontend Infrastructure: Enhances frontend developer productivity throughout the entire development stack, from the coding environment to the end-user experience in the browser. This includes building essential infrastructure for feature flags, internationalization, and preview functionalities, as well as optimizing build processes for extensive TypeScript codebases.• Storage Infrastructure: Innovates Palantir’s database and search systems, supporting diverse storage technologies across cloud, on-premise, and secure environments. This role involves evolving our existing solutions to meet growing data scale and latency requirements, alongside designing next-gen database offerings for enhanced workflows.Core Responsibilities:

About xAIAt xAI, we are on a mission to develop cutting-edge AI systems that not only comprehend the complexities of the universe but also empower humanity in its quest for knowledge. Our team is small yet highly driven, dedicated to achieving engineering excellence. We welcome individuals who relish challenges and have an insatiable curiosity. Operating with a flat organizational structure, we encourage hands-on contributions from all team members towards our collective mission. Leadership is earned through initiative and consistent high performance, making work ethic and prioritization crucial. Strong communication skills are essential, as sharing knowledge effectively with teammates is a key expectation.About the RolexAI is on the lookout for skilled software engineers to construct robust data pipelines, develop comprehensive evaluation frameworks for benchmarking large language models (LLMs), and create automation solutions that enhance the productivity of our researchers and engineers.Focus AreasDeveloping and maintaining frameworks for agent, data, and model evaluation tasks.Creating environments for AI agents.Designing tools to automate common workflows.Enhancing alerts, metrics, and error handling for large-scale reinforcement learning tasks.Refactoring existing agent, data, evaluation, and training frameworks for improved modularity.Establishing operational procedures and coding standards to facilitate the transition from small-scale experiments to large-scale reinforcement learning training.Implementing unit tests and CI/CD frameworks to support rapid development cycles.Ideal ExperienceProven experience in building and maintaining frameworks utilized by multiple engineers.Expertise in creating high-performance sandboxes, virtual machines, and simulations.Experience in developing full-stack applications for workflow automation and data visualization.Capability in rapidly iterating research into production cycles.Knowledge in test automation and CI/CD practices.Typical Challenges You Will EncounterExploring new agentic model capabilities...

Join Mudflap, a pioneering force in the $800 billion trucking industry, where our innovative payment solutions empower truckers to save significantly on fuel costs—their largest operational expense. We connect fuel stop partners with new customers, creating a vibrant marketplace that is rapidly expanding. We are actively seeking a customer-focused Senior Software Engineer to help us shape our exciting future.As a Senior Software Engineer specializing in Data Platforms, you will be instrumental in constructing a robust data infrastructure that ensures reliable and scalable data flow throughout Mudflap's systems. Your contributions will be vital in designing and managing the frameworks and services that facilitate efficient data ingestion, processing, and accessibility on a large scale.In this role, you will architect and develop high-performance platform systems that drive data ingestion, orchestrate pipelines, and manage large-scale processing. Your efforts will lay the groundwork for high-availability data systems that empower Mudflap's teams to operate with speed and confidence.This position is based in the Bay Area and offers a hybrid work model, allowing for a blend of in-office collaboration and remote work.

AI Research Engineer, Data InfrastructureLocation: Palo Alto, CA (on-site)About 1XAt 1X, we are at the forefront of innovation, developing humanoid robots designed to collaborate with humans, effectively addressing labor shortages while fostering abundance across industries.The RoleAs an AI Research Engineer specializing in Data Infrastructure, you will play a pivotal role in designing and implementing a comprehensive data engine to efficiently manage the vast data generated by our humanoid robot fleet. Your contributions will ensure that this data is readily accessible for querying and training, supporting the development of high-quality data pipelines that facilitate effective model training, large-scale data annotation, and seamless integration across robotic, on-premise, and cloud-based systems.

Join xAI as a Software Engineer on our Data Platform team, where you'll design, build, and operate scalable distributed systems that handle vast data processing and transport. Be part of a dynamic environment focused on engineering excellence, working with cutting-edge technologies like Apache Kafka, Spark, and Flink to drive real-time machine learning and analytics at a petabyte scale.

Senior Staff Software Engineer - Data PlatformAbout LadderLadder is revolutionizing the life insurance industry by eliminating unnecessary delays, paperwork, and in-person meetings. Founded by Jamie, who experienced a personal loss at a young age, our mission is to simplify access to life insurance so families can secure their futures. By harnessing the power of real-time underwriting and AI technology, we have transformed the months-long application process into a matter of minutes, garnering over $74 billion in coverage provided. Our user-friendly digital experience is celebrated by clients, as reflected in our glowing Trustpilot and Google reviews.About the RoleWe are seeking a dynamic Senior Staff Software Engineer with extensive experience in building scalable ETL pipelines. You will tackle complex backend and data plumbing issues that connect our transactional systems (Datomic) with analytical and streaming infrastructures (BigQuery, Kafka, Flink, DBT). If you thrive on solving intricate architectural challenges using immutable data structures and functional programming, we want you on our team!

At Ricursive Intelligence, we are at the forefront of AI innovation, dedicated to creating self-improving systems that revolutionize chip design and development. Our mission is to bridge the gap between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.We are searching for a Senior Software Engineer specializing in Infrastructure with a minimum of 5 years of experience to spearhead the reliability and productization of our core systems. You will play a pivotal role in transforming AI research into practical applications in chip design.The ideal candidate is a proactive engineer with substantial experience in building production-grade systems, as well as expertise in integration and deployment practices, including CI/CD. You will oversee the complete development lifecycle, from regression testing frameworks to scalable cloud infrastructure, ensuring our systems are robust, reproducible, and efficient.Key Areas of Focus: Integration and Deployment, Regression Testing, Quality Control, Automated Deployment, Distributed Systems, Cloud Infrastructure.

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information throughout their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have timely access to essential knowledge, thereby enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, facilitating a more efficient utilization of collective intelligence across teams.Glean originated from Founder & CEO Arvind Jain’s profound insight into the challenges that employees encounter while seeking and comprehending information at work. Witnessing firsthand how fragmented knowledge and a multitude of SaaS tools hindered productivity, he aimed to create an enhanced solution – an AI-powered enterprise search platform that enables rapid and intuitive access to necessary information. Since its inception, Glean has transformed into a leading Work AI platform, merging enterprise-grade search, an AI assistant, and robust application and agent-building capabilities to fundamentally reshape the modern workplace.About the RoleWe are in search of a Software Engineer to become a vital member of Glean’s Data Foundations team—the unit responsible for the comprehensive data ingestion and management layer that powers Glean’s Search, AI Assistant, and Agent offerings across a multitude of enterprise applications and vast quantities of documents.Your contributions will directly influence the quality, timeliness, and reliability of the knowledge that each Glean user engages with daily.Your Responsibilities Include:Ingestion & ConnectivityDevelop and enhance connectors for a diverse array of SaaS and on-premise systems (including Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, GitHub, etc.).Ensure the seamless integration and continuous improvement of data flows to maintain system performance and reliability.

Join ALTEN Technology USA, a pioneering engineering firm that empowers clients to transform innovative concepts into reality, from advancing space exploration and developing life-saving medical devices to creating autonomous electric vehicles. With a talented team of over 3,000 professionals across North America, we collaborate with industry leaders in aerospace, medical devices, robotics, automotive, commercial vehicles, electric vehicles, rail, and beyond.As a member of the global ALTEN Group, which boasts over 57,000 engineers across 30 countries, we cover the full spectrum of product development, from initial consulting to complete project outsourcing.At ALTEN Technology USA, you will tackle some of the most complex engineering challenges on the planet, backed by strong mentorship, abundant career advancement opportunities, and a comprehensive benefits package. We're committed to nurturing a workplace culture where every employee feels valued, supported, and inspired to reach their full potential.We are looking for a Lead Software Test Infrastructure Engineer to enhance our team and facilitate the validation of automotive firmware and applications. In this role, you will design, develop, maintain, and scale automated testing frameworks and tools that streamline software testing processes. Additionally, you will provide technical leadership, mentor junior engineers, and steer the strategic vision for test infrastructure, CI/CD integration, and simulations. Your deep knowledge of embedded systems and the automotive industry will be crucial in ensuring the quality and reliability of our software solutions.

Rivian and Volkswagen Group Technologies brings together two major automotive innovators focused on advancing mobility. The partnership works on a range of technology solutions, including operating systems, zonal controllers, and cloud connectivity. The goal is to address the unique challenges of electric vehicles and set new standards for software-defined vehicles worldwide. With expertise in connectivity, artificial intelligence, and security, the team aims to create smarter, more connected, and sustainable mobility solutions. Role overview The Vehicle Data Services team seeks a Lead Staff Software Engineer to help drive the Cloud Data Platform. This position centers on building scalable and reliable Data Services that move data between backend systems and vehicles. The work involves supporting high-throughput telemetry, managing both streaming and batch data, maintaining a data model registry, and coordinating fleet-wide push updates. What you will do Design, develop, and maintain high-performance, low-latency distributed systems for vehicle data services Support telemetry systems that handle streaming and batch data Oversee the data model registry and manage fleet push updates Shape the interaction between Cloud and Mobile services with vehicles and other cloud systems Collaborate with cross-functional teams to solve complex technical challenges Contribute to the architecture and software for next-generation Software Defined Vehicles (SDVs) Requirements Experience designing and developing distributed systems Ability to work on high-throughput data platforms and telemetry systems Strong collaboration skills for working with cross-functional teams Background in supporting cloud and mobile service integration with vehicles

Role Overview Pylon is hiring an Infrastructure Engineer, Foundation, based in Palo Alto. This role focuses on designing, implementing, and maintaining infrastructure that supports the company’s core products and services. The work directly supports operational reliability and technical growth across the organization. What You Will Do Design and build infrastructure solutions to support Pylon’s main offerings Maintain and improve existing systems to ensure reliability and performance Work with teams across engineering and other functions to integrate and support infrastructure needs Identify opportunities to optimize system performance and scalability Who We’re Looking For Proactive approach to problem solving and infrastructure development Interest in building scalable systems and improving performance Comfort working closely with cross-functional teams