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!

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.

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

Join PsiQuantum, a pioneering force dedicated to creating the first practical quantum computers that will revolutionize various industries. Since our inception in 2016, we have been unwavering in our mission to construct and implement million-qubit, fault-tolerant quantum systems.Our innovative quantum computers leverage the principles of quantum mechanics to tackle problems that are beyond the capabilities of the most sophisticated supercomputers and AI technologies. The transformative potential of these machines will benefit fields such as energy, pharmaceuticals, finance, agriculture, transportation, and materials science.Utilizing silicon photonics as the foundation of our architecture, we capitalize on advanced semiconductor manufacturing techniques—partnering with leaders like GlobalFoundries. This approach allows us to employ high-volume processes that already produce billions of chips for telecommunications and consumer electronics. The benefits of photonics are clear: they are immune to heat, unaffected by electromagnetic interference, and seamlessly integrate with current cryogenic cooling systems and standard fiber-optic infrastructures.In 2024, we announced significant government-funded projects aimed at establishing our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives illustrate the growing acknowledgment of quantum computing's strategic and economic significance, emphasizing the urgency to scale our efforts.At PsiQuantum, we are also focused on developing the algorithms and software necessary for these systems to achieve commercial viability. Our application and software teams collaborate with prestigious Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to optimize quantum solutions for real-world applications.Quantum computing signifies not merely an extension of classical computing but a radical transformation, offering pathways to tackle challenges that cannot be addressed through any other means. The opportunities are vast, and we are committed to making this vision a tangible reality.We invite you to be a part of this groundbreaking journey.

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.

Our PurposeAt Fiddler AI, we recognize the profound implications of artificial intelligence and its impact on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, the potential for generalized intelligence has expanded, but so have the associated risks. Fiddler is dedicated to assisting organizations in navigating these challenges by providing reliable and transparent AI solutions.We collaborate with AI-centric organizations to establish a sustainable framework for responsible AI practices, fostering trust among their users. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, evaluate, secure, analyze, and enhance their AI solutions, facilitating improved outcomes. Our platform empowers engineering teams and business stakeholders to comprehend the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was co-founded by Krishna Gade, a distinguished engineering leader from Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product visionary with a history at Microsoft, Samsung, PayPal, and as a two-time founder. Our venture is supported by prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsJoining our innovative team means contributing to the mission of embedding trust into AI, thereby helping society harness its transformative power. You will play a crucial role in ensuring that AI applications deployed at scale across various industries maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and proud of our dynamic team composed of intelligent and empathetic doers, thinkers, creators, and builders. The AI and ML sector is characterized by swift innovation, offering monumental learning opportunities. This is your chance to lead the way as a pioneer in this field.Fiddler is recognized as a trailblazer in AI Observability, having earned numerous accolades such as the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to shaping the future of AI Observability.‍ The Mission:As a Staff Data Platform Engineer, you will significantly impact the safety and return on investment of large language models and agentic applications across diverse verticals and domains. You will be at the forefront of designing and developing innovative tools that enhance the performance and reliability of AI systems.

The Application Modernization Platform (AMP) team is addressing one of the industry's most significant challenges: harnessing Generative AI to modernize rigid, legacy applications into agile, microservices-based architectures utilizing MongoDB. We are developing a comprehensive SaaS-like platform that integrates both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution demands a solid platform foundation and infrastructure tailored for a "build once, run anywhere" model, guaranteeing seamless operation regardless of client-specific security or network requirements. A crucial challenge lies in fine-tuning our tools for each customer's distinct tech stack and restrictive environments while ensuring they remain easily extensible and scalable for common application modernization challenges. We are in search of an engineering leader for this high-visibility initiative. This role involves defining the overarching strategy and technical direction across all AMP engineering pillars, spearheading the resolution of uniquely intricate application modernization challenges, and delivering a product of enterprise-grade quality. The leader will work to minimize deployment friction, meet compliance requirements, and contribute to the evolution of how global enterprises harness GenAI. The ideal candidate is a hands-on technical leader who excels in leveraging GenAI capabilities, architecting complex distributed systems, and designing orchestration agents that ensure the reliable and fluid execution of the entire software development lifecycle. We are particularly interested in candidates based in Palo Alto for our hybrid working model.

About Glean:Founded in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to efficiently locate, organize, and disseminate information throughout their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean enables employees to access the right knowledge at the right moment, enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, allowing teams to leverage their collective intelligence faster and more effectively.Glean was established by Founder & CEO Arvind Jain, who recognized the challenges employees encounter in sourcing and comprehending information at work. Witnessing the fragmentation of knowledge and the challenges posed by numerous SaaS tools, he aimed to create a better solution—an AI-enabled enterprise search platform that facilitates swift and intuitive access to essential information. Since its inception, Glean has evolved into the leading Work AI platform, merging enterprise-grade search capabilities with an AI assistant and advanced application- and agent-building functionalities, fundamentally transforming how employees operate.About the Role:Glean is on the lookout for a skilled Infrastructure Engineer to design and advance the platform that maintains a highly available, efficient, secure, and cost-effective infrastructure across multiple cloud environments. You will be responsible for delivering intricate components featuring refined automation, robust uptime assurances, autoscaling, and dependable alerting/monitoring for infrastructure that operates across various cloud providers. As a member of the Platform team, you will oversee critical aspects of Glean’s infrastructure, collaborating closely with other teams to support their workloads.

Role Overview Pinterest is looking for a Senior Staff Software Engineer to join the Merchants team. This role focuses on building and improving features that support merchants and enhance the overall platform experience. What You Will Do Work closely with teams across engineering, product, and design to gather requirements and set technical direction. Design and implement scalable systems that support merchant needs and user engagement. Develop software solutions that help merchants connect with Pinterest users and grow their businesses. Contribute to the platform’s mission of inspiring creativity and discovery worldwide. Location This position is based in San Francisco, CA or Palo Alto, CA.

Rivian and Volkswagen Group Technologies combines the strengths of two automotive leaders to push forward the future of mobility. This partnership brings together expertise in advanced operating systems, zonal controllers, cloud services, and connectivity. The collaboration aims to set new benchmarks for software-defined vehicles as electric vehicles continue to transform the industry. The joint team leverages deep knowledge in connectivity, artificial intelligence, and security to create a smarter, more interconnected, and sustainable automotive landscape. Role overview The Senior Software Engineer for the Parallax Cloud Platform will help build a global, scalable cloud platform that connects vehicles, mobile devices, and digital services. The focus is on developing the infrastructure needed for real-time, distributed communication across connected products. This position involves designing, implementing, and maintaining high-volume services for secure, low-latency messaging, robust APIs, and comprehensive observability. What you will do Design, implement, and manage core cloud services and platform features to support real-time messaging and APIs across global environments. Oversee high-throughput messaging infrastructure (such as NATS or similar), including upgrades, performance tuning, capacity planning, and observability through dashboards and alerts. Develop and maintain gRPC/Protobuf APIs and client integrations to enable reliable service-to-service and client-to-cloud communication, with strong telemetry support. Enhance infrastructure automation and deployments using Kubernetes, ArgoCD, and Infrastructure as Code tools like Crossplane or Terraform across development, staging, and production. Set up and maintain production-grade monitoring dashboards and alerting systems with Datadog, and use Prometheus and Grafana for metrics and service-level objectives as needed. Manage and optimize API gateways and reverse proxies (NGINX, Envoy) to ensure secure, reliable ingress and routing at scale. Handle PKI and certificate workflows, along with service identity, to secure transport and authentication across multiple environments. Create and maintain end-to-end, scaling, and integration testing pipelines to validate functionality, performance, and regression before production launches. Contribute to improvements in multi-region resiliency, cost and performance optimization, and evolving multi-tenant support as the platform expands. Location Palo Alto, California

About UsAt Odyssey, we are at the forefront of artificial intelligence, specializing in pioneering general-purpose world models that represent a groundbreaking form of multimodal intelligence. These innovations unlock a plethora of applications across consumer, enterprise, and intelligence sectors. Our flagship model, Odyssey-2 Pro, exemplifies our commitment to leading this revolutionary frontier.Position OverviewWe are seeking a seasoned Data Platform Lead who will take charge of our data practices. This pivotal technical leadership role emphasizes architectural strategy and execution. The ideal candidate will possess robust data engineering skills, adept at defining a long-term architectural vision while engaging directly with coding tasks. A comprehensive understanding of the data lifecycle is essential, from collaborating with Operations for data sourcing to designing efficient data processes that optimize our world models.Key ResponsibilitiesDefine and implement the long-term technical architecture for our data platform, ensuring scalability and reliability for high-volume, multimodal datasets.Manage the complete data lifecycle from sourcing to delivery for machine learning model training.Design and construct resilient data processing pipelines, focusing on data cleaning, feature engineering, and normalization tailored for world models.Oversee the data curation system, including adaptable metadata schemas, evolving labels, and modular tagging pipelines for effective data categorization and resampling.Collaborate closely with ML Research and Engineering teams to ascertain current and future data needs, translating research requirements into actionable data infrastructure and acquisition strategies.Lead the integration of advanced quality filtering and signal analysis into the data workflow, ensuring datasets meet rigorous quality standards.Drive data acquisition strategies by evaluating various methods, aligning with budgetary constraints and quality requirements.

Join latitude as a Senior Staff Software Engineer specializing in Camera Image Signal Processing (ISP) using C++. In this pivotal role, you will collaborate with a talented team to design and implement cutting-edge software solutions that enhance image quality and performance. Your work will directly impact the visual experience of our customers, and you will have the opportunity to lead innovative projects from conception through to deployment.

About Glean:Established in 2019, Glean is a groundbreaking AI-enhanced knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information across teams. By seamlessly integrating with popular tools such as Google Drive, Slack, and Microsoft Teams, Glean ensures that employees have immediate access to the right knowledge at the right time, thereby enhancing productivity and collaboration. The company's advanced AI technology streamlines knowledge discovery, making it quicker and more efficient for teams to harness their collective intelligence.Glean was inspired by Founder & CEO Arvind Jain’s deep comprehension of the hurdles employees encounter when trying to find and comprehend information at work. Witnessing the fragmentation of knowledge and the overwhelming array of SaaS tools that hindered productivity, he was motivated to create a better solution - an AI-driven enterprise search platform that facilitates quick and intuitive access to essential information. Since its inception, Glean has transformed into a leading Work AI platform, merging enterprise-grade search capabilities, an AI assistant, and robust application and agent-building features to fundamentally redefine employee workflows. About the Role:Glean is developing a horizontal AI platform that revolutionizes how employees leverage AI at work – not only within Glean but across diverse tools such as Copilot, Gemini, ChatGPT, IDEs, and more. We are in search of innovative engineers to construct this context platform and provide rich, reliable experiences across all these applications.This team is responsible for the complete platform experience: establishing standards and tools for REST APIs, SDKs, client libraries, agent SDKs, integrations, MCP servers, custom contexts like code and memory, as well as the infrastructure and documentation to facilitate building on Glean. In a fast-paced startup environment, this role will involve collaborating across multiple layers of the stack – from backend services to developer tools, SDKs, and documentation.You will:

Lead Staff Software EngineerLocation: Hybrid - Palo Alto Office (Tuesdays and Thursdays)Your ImpactJoin our team at MidiHealth as a Lead Staff Software Engineer, where you will play a crucial role in shaping the future of women's healthcare technology. You will be a core technical leader within our engineering organization, translating intricate concepts into actionable technical roadmaps and innovative products that drive our mission forward.Your ResponsibilitiesEvaluate complex technical challenges and spearhead architectural assessments across teams, mitigating technical debt and fostering sustainable, cross-service patterns within Midi’s healthcare ecosystem.Serve as a 'part-time product manager for technology,' championing essential infrastructure enhancements to boost business agility.Design and implement high-quality, scalable products and code, ensuring a balance between swift execution and long-term scalability.Contribute actively to our engineering culture by establishing best practices for automated testing, CI/CD, and maintaining high code quality throughout our technology stack.Assess overarching technical and business challenges, crafting elegant solutions that support both scalability and business growth.Collaborate closely with Executive Leadership, Product, Marketing, and Clinical teams to uncover unmet customer and operational needs, translating these insights into effective technical strategies that enhance outcomes for our patients and clinicians.Mentor and guide both senior and junior engineers, nurturing a culture of curiosity, humility, and technical excellence.

Location requirement: This role is based in Voltai's Bay Area office (Atherton) and involves travel to customer sites throughout the Bay Area. About Voltai Voltai develops models and agents that evaluate, design, and interact with hardware and electronic systems. The company works closely with leading semiconductor and consumer electronics firms. The Team Voltai’s team includes hackers, researchers, and operators focused on building AI for electronic systems and semiconductors. Team members bring experience from Stanford, SAIL, Olympiad competitions, and companies like Synopsys, GlobalFoundries, and Cadence. Industry leaders from Stanford, Sequoia, Google, AMD, and Broadcom support Voltai, giving the team strong connections across the sector. The culture emphasizes execution over titles. Role Overview The Senior Software Engineer - Deployments will deliver Voltai’s AI platform to top semiconductor and consumer electronics companies. The role involves working directly with customers to develop new features and ensure successful deployments. What You Will Do Lead customer deployments at offices throughout the San Francisco Bay Area, including locations in Cupertino and Santa Clara. Create features tailored to customer workflows and adapt Voltai’s cloud-based solutions for on-premises use in secure environments. Oversee cloud deployments on AWS, Azure, GCP, and OpenShift: set up environments, monitor their health, and troubleshoot issues as they arise. Gain exposure to hardware design processes. Direct experience is not required, but a willingness to learn about high-level hardware development is important.

Location: San Francisco Bay Area (Palo Alto or San Francisco preferred) or Seattle, WA.Working Model: Hybrid (in-office presence required).About the RoleWe are on the lookout for a Senior Staff Enterprise Architect, Data to spearhead the strategy, design, and modernization of our enterprise data landscape. This pivotal role sits at the crossroads of data architecture, engineering, and AI enablement, crafting solutions to seamlessly integrate our Data Lake and Data Warehouse across multi-cloud platforms.In the next 12-18 months, you will empower business users with self-service data access and natural language query capabilities. Your responsibilities will also include architecting Master Data Management and data lineage frameworks, ensuring that AI models function on high-quality, governed data. Additionally, you will assess and implement AI-driven tools to automate data quality monitoring and bolster data security.Key ResponsibilitiesData Strategy & RoadmapDesign a semantic layer architecture that standardizes business metrics across the enterprise, while defining governance guardrails to ensure that natural language queries access validated master data sources.Develop a Master Data strategy for Customer and Product domains (phases 1-2), with Finance and People to follow. Establish golden record requirements, stewardship models, and a system-of-record hierarchy. Collaborate with business stakeholders on master data governance.Define a cross-cloud data integration strategy and reference architecture, specifying patterns (federation, replication, abstraction layer) that balance performance, cost, and data freshness. Document trade-offs and recommend implementations for both batch and near-real-time use cases.Create 12-24 month data architecture roadmaps for Finance, Sales, Product, and People, identifying capability gaps and recommending technology investments along with business value and effort estimates.Systems Design & Solution LeadershipEvaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns.Define data ingestion architecture that reduces availability from weeks to 3-5 days (batch) and under 15 minutes (real-time), specifying ELT patterns using CDC where feasible. Document source system constraints and collaborate with engineering on phased implementation.Establish build vs. buy frameworks for Data Platform, ETL, Data Quality, and Master Data tooling. Define POC criteria and scoring models. Oversee POC execution and present recommendations with TCO analysis to the architecture team.

Position: Senior AdministratorLocation: Palo Alto, CADuration: 6+ MonthsWe are seeking a highly organized and proactive Senior Administrator to provide comprehensive administrative support to our Data Platform Leadership Team, including 1 Senior Vice President, 2 Vice Presidents, and 2 Senior Directors. Your role will involve managing the dynamic schedules and priorities of our executives, coordinating meetings, and supporting various leadership initiatives.Key Responsibilities:Independently manage the daily workflow for executives, handling all aspects of their calendars, scheduling meetings, video conferences, and organizing weekly and monthly team meetings.Provide administrative support for additional team members including Architects, Technical Program Managers, and Managers within the Data Platform.Efficiently handle complex and frequently changing business calendars utilizing Outlook.Juggle multiple tasks and projects simultaneously while meeting tight deadlines.Assist with ad hoc projects such as arranging catering for meetings, reserving conference rooms, managing video conferencing logistics, ordering supplies, and organizing post-COVID offsite events.Coordinate group events and functions for the Data Platform team and other internal teams.Manage travel arrangements including booking flights and accommodations, reconciling expenses, preparing visa documentation for international travel, and arranging transportation.Qualifications:Expert proficiency with Outlook, Microsoft Teams, and Skype.Strong ability to prioritize tasks and ensure deadlines are consistently met.Experience in fast-paced environments, particularly in tech or start-ups with over 300 employees.Exceptional verbal and written communication skills, demonstrating professionalism and discretion.Proven ability to coordinate and manage group events effectively.Preferred Skills:Familiarity with Photoshop is a plus.

Speechify is looking for a Software Engineer to join the Platform team in Palo Alto, CA. This group builds and maintains the core systems behind Speechify’s products, with the goal of improving how users interact with the platform. Role overview The Platform team works on foundational technology that supports all of Speechify’s offerings. The focus is on creating solutions that enhance reliability, scalability, and efficiency across products. What you will do Work closely with engineers, designers, and other teams to deliver new features and platform improvements Develop and maintain software systems that handle growth and perform consistently Share technical input and ideas to help guide the platform’s development Location This is an in-person role based in Palo Alto, CA, USA.

Join SpaceX as a Platform Engineer, where you will contribute to the development and maintenance of our cutting-edge technology platforms. This role entails working with a talented team to build robust systems that support our missions in space exploration. Your expertise and innovation can help us push the boundaries of what is possible.

Join acryldata, an innovative leader in AI and data management, as we revolutionize the way enterprises utilize their data. Our flagship product, DataHub, is an AI & Data Context Platform trusted by over 3,000 organizations, including industry giants like Apple, CVS Health, Netflix, and Visa. Developed in collaboration with a vibrant open-source community of over 13,000 contributors, DataHub's metadata graph offers unparalleled insights into AI and data assets, ensuring exceptional scalability and flexibility.Our enterprise SaaS solution, DataHub Cloud, provides a fully managed platform equipped with AI-driven discovery, observability, and governance features. Businesses depend on DataHub to accelerate the realization of their data investments, guarantee the reliability of AI systems, and establish cohesive governance frameworks, thus harmonizing AI and data to mitigate data chaos.The ChallengeAs AI and data products grow increasingly vital, organizations encounter a metadata crisis:Lack of a unified approach to monitoring the intricate data supply chains fueling AI systems.Engineering teams facing hurdles in data discovery, lineage tracking, and governance.Organizations demanding machine-scale metadata management that goes beyond human-browsable catalogs.Why This MattersThis is where infrastructure meets impact. The metadata layer you will develop will be instrumental in powering the next generation of AI systems at a large scale. Your contributions will influence how thousands of organizations deploy AI safely and effectively, impacting millions of users across the globe.The RoleWe are in search of a highly skilled Python engineer to spearhead the development of DataHub's ingestion framework—the backbone that links various data systems and enhances our metadata collection capabilities.You Will BuildResilient, scalable ingestion systems for enterprise-level metadata.Clean, user-friendly APIs for our connector ecosystem.Event-driven architectures for real-time metadata processing.Schema mapping for diverse systems integrated with DataHub's unified model.Versioning systems for AI assets, including training data, model weights, and embeddings.