Senior Staff Software Engineer - Data Platform

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 powe…

Join OdysseyML as a Data Program Manager, a key role where you'll lead and manage data-driven projects, ensuring successful execution and alignment with business objectives. In this capacity, you will collaborate closely with cross-functional teams, driving innovation and strategic initiatives that leverage data to enhance decision-making and operational efficiency.

Simile develops AI simulations that capture complex societal dynamics by using generative agents modeled on real human behavior. The company aims to help organizations make more responsible decisions by offering realistic simulations, similar to how pilots or surgeons train before facing real-world situations. Simile is building a Foundation Model to predict human behavior in a variety of contexts and at different scales. The company is supported by $100 million in funding from investors including Index Ventures, Hanabi, A*, and Bain Capital Ventures. Role overview The Member of Technical Staff (Research) joins the Research team in Palo Alto. This position involves hands-on work throughout the lifecycle of Simile’s human behavior models: training, evaluation, deployment, and monitoring. The team bridges research and product, with a strong focus on experimental rigor and system reliability to support critical decision-making. Researchers are expected to take full ownership of their projects, from designing experiments to deploying models in production. The work has a direct impact on real-world applications. Key responsibilities Redesigning data schemas: Overhaul foundational data architecture by redefining schemas across multiple databases to strengthen system capabilities. Improving computational performance: Refactor algorithms in internal data pipelines, resolving bottlenecks to enable efficient, large-scale model training. Building and managing infrastructure: Design and operate model training infrastructure, write high-performance code for NVIDIA hardware, and ensure smooth data ingestion and workflow efficiency. Developing scientific evaluations: Create advanced evaluation tools that extend beyond standard benchmarks to verify model reliability and accuracy. Location This position is based in Palo Alto.

Role Overview Xai is hiring a Technical Staff Member to focus on Money, Fraud, and Payments. This role sits at the intersection of technology and finance, supporting efforts to strengthen payment systems and fight fraud. What You Will Do Work closely with teams across the company to improve payment solutions Develop and implement new technologies to address fraud and security risks Help design systems that keep transactions secure and efficient Location New York, NY Palo Alto, CA

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.

Join xAI as a Technical Staff Member focused on Pre-training Data Infrastructure. In this pivotal role, you will design and implement large-scale data processing systems that handle massive datasets with both CPU and GPU processing. Your responsibilities will include creating tools for orchestrating complex data pipelines, enhancing data discoverability and quality, and managing innovative data pipelines for high-quality training data. We seek a proactive individual with a robust understanding of distributed data systems and an eagerness to contribute to groundbreaking AI technologies.

Join Us in Shaping Trust in the Age of AIAt Oscilar, we are at the forefront of developing the most sophisticated AI Risk Decisioning™ Platform. Our innovative solutions empower banks, fintechs, and digital enterprises to effectively manage fraud, credit, and compliance risks through advanced AI technology. If you are enthusiastic about tackling intricate challenges and enhancing online safety for all, this is your opportunity.Why Choose Oscilar?Mission-Driven Teams: Collaborate with experienced professionals from Meta, Uber, Citi, and Confluent, all working together to create a safer digital landscape.Ownership and Impact: Embrace a culture of extreme ownership where you can take initiative, act swiftly, and make impactful decisions aligned with our mission.Innovate at the Cutting Edge: Your contributions will revolutionize how modern finance detects fraud and mitigates risks.Job OverviewWe are in the process of developing a groundbreaking AI Agent Platform designed to enhance our mission — creating intelligent, autonomous systems that proactively identify insights, respond to risk events, and learn continuously from vast amounts of data.We seek engineers who are quick thinkers, proficient prototypes, and passionate about solving complex problems at the intersection of AI, full-stack development, and risk intelligence.Key ResponsibilitiesDesign and construct full-stack systems that power Oscilar’s next-generation AI agents, encompassing backend APIs, data pipelines, and interactive frontends.Utilize AWS Lambda and Python to implement serverless architectures for high-volume, event-driven processing of risk signals and fraud patterns.Explore agentic frameworks, LLM-driven automation, and reasoning systems to tackle challenges in fraud detection, risk scoring, and Anti-Money Laundering (AML).Work closely with founders and product leaders to define the architecture and roadmap for our agentic platform.Act swiftly to ship Minimum Viable Products (MVPs), validate hypotheses using real-time data, and iterate on a weekly basis.Leverage practical AI techniques, including GenAI, embeddings, and retrieval pipelines for data storytelling, graph reasoning, and case automation.QualificationsA minimum of 4 years of experience in full-stack engineering or related fields.Proficiency in backend technologies, database management, and frontend frameworks.Experience with cloud services, particularly AWS, and serverless architecture.Strong problem-solving skills and the ability to thrive in a fast-paced environment.

Join Our Innovative Team at xAIAt xAI, we are on a mission to develop advanced AI systems capable of deep comprehension of the universe, ultimately assisting humanity in its quest for knowledge. Our team is small yet highly motivated, dedicated to engineering excellence and driven by curiosity. We encourage individuals who thrive in challenging environments and seek to push boundaries. Embracing a flat organizational structure, we empower all employees to be hands-on contributors to our mission, rewarding those who demonstrate initiative and commitment to exceptional results. Strong communication skills are essential, enabling team members to share insights effectively.About the RoleThe Mid-Training Team at xAI is tasked with creating an omni model that comprehensively understands the universe through various modalities: text, image, video, and audio. We are seeking talented engineers with expertise in multimodal mid-training data to help us achieve this goal.Technical Expertise RequiredPythonJAX and XLASparkRayLocationThis position is located in the Bay Area, specifically in Palo Alto and San Francisco. Candidates should either be based in the Bay Area or be open to relocation.Key ResponsibilitiesScale synthetic coding data to trillions of tokens utilizing large-scale Docker verification.Transform flagship model intelligence into streamlined flash models through synthetic data generation.Optimize mid-training data mixtures to enhance reinforcement learning outcomes.Engineer innovative long-context data recipes.Develop comprehensive and diverse evaluation methods for mid-training checkpoints.Preferred QualificationsExpertise in machine learning and large model scaling, with a solid understanding of various scaling laws.Proven ability to design and execute machine learning experiments.Familiarity with state-of-the-art techniques for curating training data across text, image, audio, and video modalities.Strong analytical and problem-solving skills.

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 UsOdyssey is an innovative AI laboratory at the forefront of developing general-purpose world models. These advanced multimodal intelligence systems are set to revolutionize consumer, enterprise, and intelligence applications. With models like Odyssey-2 Pro, we are pioneering the next significant leap in AI technology.Position OverviewWe are in search of passionate engineers who excel in the art of building robust systems. You should possess the ability to write elegant, scalable machine learning code, with a strong emphasis on performance and an understanding of the underlying research. You are comfortable navigating the realms of modeling and systems, boldly tackling complex technical challenges while taking pride in constructing the infrastructure and tools that enable groundbreaking advancements.Your ResponsibilitiesDevelop and scale the training and inference systems that drive Odyssey’s general-purpose world models, encompassing large-scale distributed pipelines and real-time optimization.Collaborate closely with researchers to prototype novel architectures, enhance model performance, and transition concepts from research to production.Create high-performance data and computation systems for video generation and control, facilitating rapid iteration and effective resource utilization.Design tools, metrics, and visualizations that provide insights into model behavior and evolution.Work hand-in-hand with product engineers to incorporate Odyssey’s models into real-time, interactive user experiences that exemplify new general-purpose world models.Embrace a fast-paced iterative approach. As part of a tightly-knit team, your experiments will evolve into demos and ultimately into products.Contribute to shaping Odyssey’s engineering culture, which is pragmatic, research-oriented, and always focused on what is possible next.Your ProfileA staff-level or senior engineer experienced in large-scale machine learning systems, distributed training, performance optimization, or model deployment.Hands-on and technically adept: you thrive on writing code, optimizing processes, and enhancing system efficiency.Proven experience with data structures, algorithms, and coding practices that lead to high-performance outputs.

About UsOdyssey is at the forefront of artificial intelligence innovation, dedicated to developing general-purpose world models. These models represent a cutting-edge form of multimodal intelligence that paves the way for transformative applications across consumer, enterprise, and intelligence sectors. Our groundbreaking work, including advancements showcased in Odyssey-2 Pro, positions us as leaders in the next major frontier of AI.Position OverviewWe seek a passionate Infrastructure Engineer who excels in creating the systems that enable pioneering research and product development. You possess a systems-oriented mindset, are driven by performance, and thrive on converting theoretical limitations into practical, efficient solutions. Your mission will be to design and maintain an infrastructure that supports Odyssey's world models, facilitating real-time imagination, action, and interaction.Key ResponsibilitiesDevelop and manage a low-latency model inference platform, ensuring optimal availability, scalability, and resource efficiency for Odyssey’s world models.Engineer and expand our core data processing infrastructure (e.g., Flyte, Ray with Kubernetes) to manage petabyte-scale datasets effectively.Design, construct, and maintain large-scale, GPU-based training clusters for deep learning, emphasizing usability, throughput, and reliability.Automate infrastructure provisioning and monitoring using Infrastructure as Code (IaC) principles.Enhance performance tuning, cost management, and reliability across the technology stack.Work collaboratively with researchers and product developers to comprehend their needs, streamline workflows, and elevate platform usability.

Technical Staff Member - Foundation Model Architecture & AI InfrastructureJoin Vinci, a leading innovator in operator intelligence infrastructure for cutting-edge hardware programs. We have successfully demonstrated that a single foundation model can seamlessly operate across various industries on complex production workloads.Leveraged over 45TB of structured physics data for training.Facilitated billion-voxel inference in live production settings.Implemented within Tier-1 semiconductor and hardware environments.Adapted to operate across diverse physical scales and operator regimes.This is not just a research prototype; it is a robust production infrastructure. We are now on a mission to scale our deployment to industrial levels:Enhancing simulation throughput by two orders of magnitude.Transitioning from billion-voxel to trillion-voxel domains.Broadening operator coverage to nonlinear regimes.Enabling global, multi-entity deployments within Tier-1 ecosystems.Our goal is not merely to become a frontier AI lab but to establish the default operator intelligence layer that hardware companies depend on.The Operator FrontierOur unified model currently addresses a subset of partial differential equations within real industrial environments. The next step involves extending this unified architecture across operator systems, including:Maxwell’s equationsElasticityPlasticityNavier–StokesNonlinear constitutive systemsCoupled multiphysics interactionsWe aim to evolve a single operator foundation model that generalizes across industries, physical scales, and conditioning regimes, all while scaling in deployment volume.Key ResponsibilitiesThis position focuses on AI architecture and systems engineering rather than low-level GPU kernel development. You will play a crucial role in defining and enhancing the core operator intelligence layer.

Technical Staff Member - High-Performance Sparse Linear Algebra & GPU Solver ArchitectureVinci | Full-Time | Remote / HybridOur MissionAt Vinci, we are pioneering AI-driven infrastructure that empowers modern hardware programs to make precise physics decisions confidently. Our cutting-edge software offers manufacturing-resolution physics simulations with unparalleled accuracy at speeds significantly surpassing traditional tools, eliminating the need for meshing and approximation overhead.We are actively engaged with a diverse array of Tier-1 partners across semiconductor IDMs, foundries, advanced packaging, fabless companies, automotive, EMS, and energy hardware development. This translates to real solver constraints rather than mere benchmarks, as the simulation decisions we facilitate directly influence tangible hardware outcomes, incorporating a variety of operator structures and conditioning regimes.We are currently developing the foundational solver architecture designed to scale from billions of degrees of freedom to trillions, ensuring determinism and adaptability across vastly different operator landscapes and distributed environments.The Challenge AheadThis position focuses on the core numerical substrate rather than application wrappers. Your tasks will include:Extreme scale conditioning and convergenceDomain decomposition and Schwarz theory implementation at production scaleRobust multilevel and multigrid preconditioningDevelopment of communication-avoiding Krylov and hierarchical solversDeterministic parallel reductions across GPU clustersAI-enhanced solver components rooted in numerical precisionYour contributions will be pivotal in shaping the solver architecture that accommodates not just a singular physics model but a comprehensive operator ecosystem, including indefinites, saddle-point systems, significant coefficient jumps, anisotropy, and tightly coupled multiphysics blocks typical in real-world hardware workflows.Your ContributionsYou will take charge of designing and delivering production-ready solver infrastructure, including:Domain Decomposition & Schwarz MethodsAdditive and multiplicative Schwarz frameworksOverlapping and non-overlapping strategiesScalable coarse space construction

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 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 Nubank as a Staff Software Engineer and become a key player in transforming the financial landscape. As part of our innovative team, you will design, develop, and maintain robust software solutions that drive our mission of providing accessible financial services.

Join the Revolution at ALSO.At ALSO, a pioneering electric mobility company born from Rivian's vision, we are a dedicated team of innovators and builders committed to revolutionizing the way people commute. We specialize in designing innovative and affordable small electric vehicles (EVs) that tackle the mobility challenges of today and tomorrow. Our mission is to inspire a shift from traditional transportation to our efficient and delightful e-bikes, significantly reducing reliance on conventional cars and trucks.Be part of a transformative phase in our journey! As an early member of our dynamic team, you will be instrumental in crafting the digital experience for our cutting-edge connected e-bike product. This is your chance to make a mark in a fast-paced startup environment, where your input will shape critical user experiences. You will collaborate closely with a passionate team to create a premium customer journey from purchase to ride, and enjoy the freedom to design scalable systems while growing with our evolving company.

Join us in a hybrid work setting at our Palo Alto office, where you'll be expected to work on-site every Tuesday and Thursday.Why is this role exciting?Become an integral part of the iOS development team at Grindr as we build the future of our app! You will tackle complex challenges, engage with cutting-edge technology, collaborate with a supportive and talented team, and help us maintain our position as the leading social media platform for the LGBTQ community.What will you do?Collaborate with a diverse, cross-functional team across various time zones to enhance the Grindr user experience.Navigate multiple projects while embracing ambiguity to foster innovative, high-level thinking.Drive innovation by leveraging data-driven insights to integrate new technologies, architectures, and workflows.Enhance your team's technical skills by introducing new tools and methodologies.Utilizing Swift, Xcode, RxSwift, Combine, Async/Await, SwiftUI, Bitrise, Fastlane, and GitHub, you will evolve and maintain our software architecture to meet current and future demands for consumer-facing mobile products, supporting our product roadmap.What we appreciate in youYou are a proactive leader who takes initiative and can drive change across the organization.You possess a minimum of 6 years of experience in developing complex iOS applications.Your technical expertise inspires creativity and innovation among your peers.You have a strong background in product leadership and technical decision-making, skillfully balancing product needs with code quality.You have experience collaborating with various business stakeholders, including c-suite executives and VPs.You can dive deep into coding while also mentoring your team on long-term projects.A solid understanding of software engineering best practices and design patterns such as MVVM, Coordinator, and one-way data flow is essential.

About SimileAt Simile, we believe that the most significant societal decisions shouldn't be made without rigorous testing. Just as pilots and surgeons prepare meticulously, we aim to revolutionize how complex decisions are modeled. We've created the world's first AI simulation of society, featuring generative agents that accurately reflect human behavior. Our groundbreaking research has set new standards in AI-based simulation, and we are currently developing a Foundation Model capable of predicting human behavior across various scenarios and scales.Supported by $100M in funding from top investors like Index Ventures and notable AI experts including Andrej Karpathy and Fei-Fei Li, we are on an ambitious path to reshape decision-making.The Forward Deployed Engineering TeamOur team serves as the essential link between cutting-edge research and real-world applications. We thrive in small, collaborative groups, transforming our Foundation Models into impactful solutions for our partners. Our engineers excel in high-pressure environments, adept at navigating intricate and evolving requirements to create simulations that mirror human society. At Simile, your work will not just involve feature deployment; you'll be crafting the

Join Mashgin, a pioneering force in transforming checkout experiences, as a Full Stack Software Engineer. In this role, you will be at the forefront of developing software that operates our innovative kiosks and supports the robust infrastructure behind them. You will not only build conventional web stacks but also work on integrating code that connects with our hardware and visual elements, ensuring our kiosks deliver exceptional reliability and an outstanding user experience. This is a holistic role where you will embrace end-to-end project ownership, participating in every phase of the product lifecycle, from concept and design to execution and deployment, while contributing across various parts of our diverse codebase in multiple programming languages.