Senior Software Engineer, Data Platforms

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.

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!

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.

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

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:

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.

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 Nubank as a Principal Software Engineer, where you will play a pivotal role in enhancing our Credit Card Core Platforms. We are looking for a passionate individual with a strong background in software engineering, who thrives in a collaborative environment and is eager to drive innovation. In this role, you will lead technical projects, mentor team members, and contribute to the overall architecture and design of our systems.

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.

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.

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 Wealthfront as a Software Engineer specializing in our DevOps Platform, where you’ll play a pivotal role in enhancing our infrastructure and ensuring seamless deployment of our applications. You will collaborate with cross-functional teams to develop robust solutions that optimize our operations and improve our user experience.

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.

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.

At PsiQuantum, our mission is to pioneer the development of the first practical quantum computers—machines that can unlock the transformative potential that the quantum field has promised for decades. Founded in 2016, we are singularly focused on creating and deploying million-qubit, fault-tolerant quantum systems.Quantum computers utilize the principles of quantum mechanics to tackle challenges that traditional supercomputers and AI systems cannot overcome. Their potential impact spans across various industries including energy, pharmaceuticals, finance, agriculture, transportation, and materials.Our innovative architecture is founded on silicon photonics, leveraging cutting-edge semiconductor manufacturing processes in partnership with leaders like GlobalFoundries. This approach allows us to utilize high-volume techniques that yield billions of chips for telecommunications and consumer electronics. Photonics provides inherent advantages for scalability: photons are unaffected by heat, immune to electromagnetic interference, and can seamlessly integrate with existing cryogenic cooling and standard fiber-optic systems.In 2024, PsiQuantum initiated government-funded projects to establish our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing acknowledgment that quantum computing will be a defining strategic and economic force, making it imperative to scale our efforts.Moreover, PsiQuantum is actively developing the algorithms and software necessary to ensure these systems are commercially viable. Our teams collaborate directly with top Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to tailor quantum solutions for tangible real-world applications.Quantum computing signifies a fundamental departure from classical computing, presenting a unique pathway to address challenges that no other technology can solve. The potential is vast, and we have a clear strategy to bring it to fruition.Join us to be part of this revolutionary journey!

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.

Join Our Innovative TeamAt Nectar Social, we are at the forefront of a transformative shift in how individuals interact with brands. The modern consumer seeks authentic connections rather than traditional marketing pitches. They prioritize genuine recommendations from trusted communities and expect personalized, human-centric experiences.We are developing an AI-driven social operating system that fuels this new commerce landscape. Our mission is to ensure that every social interaction enhances the bonds between brands and their communities, creating significant value for all involved.Founded by former leaders from Meta, we have successfully secured over $30M in funding from prestigious investors such as GV and True Ventures. We collaborate with renowned brands including Oura Health, Caraway, e.l.f. Cosmetics, Kosas, and OLIPOP. Join us in shaping the future of social commerce, where community, dialogue, and commerce seamlessly integrate.Your RoleWe are seeking a Senior Software Engineer to architect and scale the foundational systems that drive Nectar's platform. Your work will involve developing the infrastructure that collects, processes, and analyzes vast amounts of social data, while empowering AI agents to interact with this data in real-time.This position requires a blend of deep technical expertise and architectural foresight. You will play a crucial role in defining the evolution of our systems as we expand our customer base, handle increasing data volumes, and enhance our product offerings.Your ResponsibilitiesDesign and scale core systems to ingest and process extensive social data from platforms such as Instagram, TikTok, X, Reddit, and LinkedIn.Develop data pipelines that support AI agents and facilitate real-time analytics for our clients.Lead critical technical decisions across the platform, producing design documentation and establishing scalable architecture patterns.Enhance reliability, performance, and cost-effectiveness of our data and AI infrastructure as we scale.Mentor fellow engineers and review system designs and code to elevate the engineering standards within the team.Collaborate closely with product and engineering leadership to tackle complex technical challenges and deliver impactful systems.Your Qualifications5+ years of experience in building and operating production software systems.Proven expertise in designing and scaling distributed systems and data infrastructure.Strong programming skills in languages such as Python, Java, or Go.Experience with cloud platforms and microservices architecture.Ability to work collaboratively in a fast-paced environment.