Hive and Python Engineer with Big Data Experience

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is pioneering the digital infrastructure necessary for integrating intelligence into every moving machine worldwide. Our solutions cater to the automotive, defense, trucking, construction, mining, and agriculture sectors, focusing on three core domains: tools and infrastructure, operating systems, and autonomy. Trusted by eighteen of the top twenty global automakers, as well as the U.S. military and its allies, Applied Intuition is dedicated to delivering exceptional physical intelligence. Headquartered in Sunnyvale, California, we have additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We are an in-office company and expect our employees to work from their Applied Intuition office five days a week. However, we appreciate the need for flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier to accommodate family commitments.About the RoleAs the Engineering Manager for our Data Intelligence team, you will lead a talented group of engineers dedicated to transforming the production, curation, and utilization of high-quality data to expedite the development of autonomy. Your team will focus on three pivotal areas: Data Quality, where we create systems to measure, validate, and enhance the integrity of our datasets; Labeling Workflows, where we design intelligent annotation pipelines that merge human expertise with AI-driven automation; and Data Mining, where we identify rare, high-value driving scenarios from extensive multi-modal fleet data. You will champion the integration of foundation models and advanced AI methodologies to scale these capabilities, establishing technical direction and team objectives that align with our model development, safety, and deployment goals.

CoreWeave is the premier cloud service for AI, designed specifically for innovators by innovators. Our platform provides cutting-edge technology, tools, and expertise that empower teams to build and scale AI applications with assurance. Trusted by leading AI laboratories, startups, and major enterprises, CoreWeave merges outstanding infrastructure performance with in-depth technical know-how to expedite breakthroughs and transform computation into capability. Established in 2017, CoreWeave became publicly traded (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com.What You'll Do:At CoreWeave, we lead the AI-cloud space with unparalleled GPU infrastructure tailored for AI/ML, visual effects, rendering, and real-time inference. Our technology stack is specifically designed for speed, scalability, and cost-effectiveness, presenting an unmatched alternative to conventional hyperscalers. Here, infrastructure is our product.About This Role:We are in search of a Senior Software Engineer to join our Benchmarking & Performance team, focusing on our expansive performance data warehouse. You will be responsible for the architecture and advancement of how we collect, store, transform, and present performance data across all data centers within our global infrastructure—converting billions of raw events into reliable, queryable insights that drive our engineering and business strategies.If you are convinced that the proper storage format, schema, and query engine can transform extensive telemetry into a competitive edge, this position is tailored for you. You will develop the foundational data structures that support industry-leading benchmark publications, internal performance SLAs, and executive reporting—collaborating closely with top-tier partners and communities to ensure every metric we publish is authoritative, reproducible, and actionable.Key Responsibilities:Data Lake Architecture - Design and establish our core performance data lake on columnar storage foundations. Select, integrate, and optimize table formats (Apache Iceberg, Parquet, Avro) to achieve a balance between query performance, storage cost, and schema efficiency.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and now boasting a valuation of $15 billion, this Silicon Valley powerhouse is constructing the digital infrastructure necessary to infuse intelligence into every machine in motion worldwide. Our company serves a diverse array of sectors including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary areas: tools and infrastructure, operating systems, and autonomy. Trust in our solutions is reflected by eighteen of the top twenty global automakers, alongside the United States military and its allies, to deliver physical intelligence. Headquartered in Sunnyvale, California, we have a presence in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.While we expect our employees to primarily work from their Applied Intuition office five days a week, we appreciate the value of flexibility and trust our team to manage their schedules responsibly. This can include occasional remote work, attending morning meetings from home, or adjusting hours to accommodate family commitments.About the RoleWe are seeking an Engineering Manager to lead our Data Platform team within the Data Engineering group. In this pivotal role, you will oversee a top-tier data engineering team responsible for managing the complete data lifecycle—from collection and ingestion to storage, querying, and retrieval—at a scale of hundreds of petabytes.Collaboration with various business units across Applied Intuition is key to defining the technical roadmap for our data platform, ensuring robust support for both external products and internal tools across cloud, hybrid, and on-premises deployments. This is a highly collaborative leadership position that demands deep technical expertise, exceptional people management abilities, and a strong sense of ownership. At Applied Intuition, engineering managers are expected to be engaged leaders who contribute actively to technical direction alongside people management.In this Role, You Will:Lead, develop, and mentor a team of data infrastructure engineers, nurturing a culture of technical excellence, ownership, and collaboration.Define and drive the technical strategy...

Join our dynamic team as a Senior Big Data Software Engineer! In this pivotal role, you will leverage your expertise in big data technologies to design, develop, and maintain scalable data solutions. Your contributions will help us unlock valuable insights and drive data-driven decision-making across our organization.

Join Sonsoft Inc. as a Big Data Engineer, where you will be at the forefront of transforming vast datasets into actionable insights. You will collaborate with cross-functional teams to design and implement scalable data solutions that drive business success. This role is ideal for professionals who are passionate about big data technologies and eager to tackle complex challenges in a fast-paced environment.

Join our dynamic team at Sonsoft Inc. as a Big Data Engineer. In this role, you will harness the power of large datasets to develop innovative solutions that enhance our client's data-driven strategies. You will be involved in designing, implementing, and maintaining scalable data architectures, ensuring the reliability and performance of our big data solutions.

Role Overview DoorDash is hiring a Data Science Manager to lead a team of data scientists working on projects that use data to improve DoorDash’s services. This role involves managing team members, setting direction for analytical model development, and shaping strategies that influence decisions across the company. What You Will Do Oversee and mentor a team of data scientists Guide the development of analytical models and data-driven strategies Work with teams from different departments to spot opportunities for improvement Deliver insights that help DoorDash connect people with top local options Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX

At Crusoe, we are on a mission to propel the availability of energy and intelligence. We are developing the foundation for a future where individuals can innovate boldly with AI while prioritizing scale, speed, and sustainability.Join us in the AI revolution through sustainable technology at Crusoe. In this role, you'll be instrumental in driving impactful innovation and making a significant difference by working with a team that's at the forefront of responsible and transformative cloud infrastructure.About This RoleCrusoe Cloud is looking for a talented Data Integration Engineer to establish the groundwork for our next-generation data platform. You will be responsible for designing and maintaining scalable data pipelines and integrations across essential business systems, ensuring reliable data flow for analytics and forecasting throughout the organization.You will play a pivotal role in connecting systems across construction, engineering, and enterprise platforms, initially focusing on supporting our datacenter construction division. Prior experience with construction-related datasets (DCIS, PMIS, CMMS, ERP, etc.) is highly desirable.What You’ll Be Working OnDesigning, implementing, and maintaining scalable ETL/ELT pipelines utilizing tools like Fivetran, Workato, and DBT.Creating integrations between core business systems, including PMIS, ERP, HCM, cost management, procurement, and cloud platforms (GCS/GCP).Leading data integrations that support our datacenter construction operations by connecting DCIS, PMIS, BIM, ERP, and related systems.Developing and managing ingestion pipelines to consolidate both structured and unstructured data into a centralized data lake hosted on Google Cloud Storage (GCS).Ensuring data quality, reliability, and availability to support analytics, reporting, forecasting, and modeling efforts.Creating integrations that facilitate visualization and reporting through software such as Sigma and DBT.Collaborating with business stakeholders to gather requirements and modernize data workflows.Working closely with Operations to define and execute a roadmap of data integration initiatives.What You’ll Bring to the Team5+ years of experience in data integration, data engineering, or ETL development.3+ years of designing and operating robust, high-volume ETL/ELT pipelines.Strong expertise in data architecture and best practices.

Your ImpactBecome a key member of our innovative team at Cylake Inc., where we are dedicated to designing cutting-edge cybersecurity solutions from the ground up. You will collaborate with industry experts to architect, develop, and launch impactful products that are set to revolutionize the cybersecurity landscape. This is an exciting opportunity to advance your career alongside a dynamic team committed to excellence.Role OverviewAs a Data Pipeline Engineer, you will be responsible for designing, constructing, and sustaining a robust, open-source data lakehouse architecture capable of supporting petabyte-scale analytics. Your role will involve creating end-to-end data pipelines that ensure seamless data ingestion, transformation, and consumption while maintaining high performance, reliability, and data integrity.

42dot is hiring a Senior AI Data Pipeline Engineer to support autonomous driving initiatives in Sunnyvale, United States. This position centers on building and refining data pipelines that power advanced vehicle systems. Role overview This engineer will design, implement, and optimize data workflows essential for autonomous vehicle technology. The work involves collaborating with teams across disciplines to ensure reliable and efficient data movement and processing. Key responsibilities Create and maintain data pipelines tailored for AI-driven vehicle systems Work closely with engineering and product teams to support system safety and performance Apply knowledge of AI and data engineering to improve pipeline reliability and scalability Requirements Experience in AI and data engineering Background in designing and optimizing data pipelines Ability to collaborate with cross-functional teams

Join CoreWeave as a Software Engineer in our Data Infrastructure Services team, where you will play a crucial role in building robust data solutions that empower our cloud infrastructure. We are looking for a passionate engineer who thrives in a dynamic environment and is eager to tackle challenging problems. You will collaborate with cross-functional teams to design, develop, and maintain scalable data systems that support our innovative projects. If you have a strong background in software engineering and a keen interest in data infrastructure, we want to hear from you!

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and currently valued at $15 billion, this Silicon Valley firm is developing the essential digital infrastructure required to integrate intelligence into every moving machine globally. Serving vital sectors such as automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition focuses on three primary areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the world's top 20 automakers, along with the United States military and its allies, to deliver transformative physical intelligence. With headquarters in Sunnyvale, California, we boast additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We embrace a culture of in-office collaboration, with a primary expectation for our team members to work from the Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly. This includes the possibility of occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family obligations.About the RoleThe Data & Machine Learning Pipeline Engineer will play a crucial role in Applied Intuition's data flywheel initiative, developing systems that link vehicle data collection, training, and automated model enhancement. You will establish the infrastructure that enables our autonomous driving stack to learn continuously from both real-world and simulated data, thereby accelerating development across teams focused on perception, planning, and control.This position resides at the intersection of large-scale data engineering and machine learning infrastructure. You will collaborate closely with ML engineers and system developers to automate processes related to data selection, curation, and model iteration, ensuring our vehicles can improve autonomously with minimal human input.

Join LinkedIn as a Staff Software Engineer, Data where you will play a pivotal role in designing and implementing innovative data solutions that drive insights and enhance decision-making across the organization. You will work with cutting-edge technologies and collaborate with talented engineers to build scalable data infrastructure.

About CeribellCeribell is a pioneering medical technology company dedicated to revolutionizing the diagnosis and management of patients suffering from severe neurological disorders. Our flagship product, the Ceribell System, is an innovative point-of-care electroencephalography (EEG) platform designed to meet the critical needs of patients in acute care settings. Our technology is currently utilized in numerous community hospitals, large academic institutions, and major integrated delivery networks across the nation. Our team shares a collective mission to enhance the critical care landscape through rapid seizure detection technology—join us in this transformative journey!Position Overview:We are seeking a skilled Data Scientist/Algorithm Engineer with a passion for biomedical applications, possessing a robust background in machine learning, pattern recognition, signal processing, and time-series analysis. The successful candidate will become a vital member of our data science team, tasked with the design and development of cutting-edge classification algorithms that will elevate EEG neurodiagnostics.Key Responsibilities:Utilize time-series analysis, statistical signal processing, and machine learning techniques to develop classification algorithms for various neurological conditions.Analyze datasets to identify trends and patterns, interpreting findings with a clear objective.Collaborate with clinical and business stakeholders to define project requirements and effectively communicate the results of the models and analytical solutions developed.Select and apply suitable evaluation metrics to assess algorithm and model performance, ensuring both technical accuracy and clinical significance.Document and validate models while performing statistical analyses to comply with regulatory standards for medical device algorithms.Mentor and guide junior data scientists and interns, fostering their professional development through technical direction and support.Independently manage multiple projects, prioritizing tasks effectively and aligning deliverables with key milestones to ensure timely, successful outcomes.Stay abreast of the latest advancements in machine learning and neurodiagnostics to maintain state-of-the-art algorithms.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is dedicated to creating the essential digital infrastructure that empowers intelligence in every moving machine globally. Our solutions cater to key sectors including automotive, defense, trucking, construction, mining, and agriculture, with a focus on tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the top 20 global automakers, along with the United States military and its allies, Applied Intuition is headquartered in Sunnyvale, California, with a global presence in cities including Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.Our company thrives on in-office collaboration, and we expect our employees to primarily work from their respective Applied Intuition offices five days a week. We understand the need for flexibility, allowing for responsible management of schedules, including occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family commitments.About the RoleWe are seeking talented infrastructure engineers with a deep understanding of scaling open-source data infrastructure to join our Data & ML Infrastructure group. This dynamic role involves engaging with the entire data lifecycle — from collection, ingestion, and storage to querying and retrieval. You will collaborate closely with various business units to design and develop both internal and external products. Managing vast amounts of data to meet the demands of Applied Intuition's platform is critical, and we need a proactive individual who can actively support our data products and verticals across the organization. At Applied Intuition, we encourage our engineers to take ownership of technical and product decisions, actively engage with both internal and external users for feedback, and contribute to a vibrant, collaborative team culture.

Join our dynamic team as a Staff AI Engineer - AI Privacy Specialist, where you will play a crucial role in advancing our commitment to user privacy and data protection. You will leverage cutting-edge artificial intelligence technologies to create innovative solutions that enhance privacy measures across our platforms.Your expertise in AI and privacy will empower you to collaborate with cross-functional teams, ensuring that our products meet the highest standards of data integrity and user trust.

Join Intuitive Surgical, a pioneering company in robotic-assisted surgery, as a Clinical Data Manager. In this critical role, you will oversee the management of clinical data for our innovative medical devices, ensuring accuracy, integrity, and compliance with regulatory standards. You will collaborate closely with cross-functional teams to design and implement data management plans that support clinical trials, ensuring timely and efficient data collection and analysis.

Applied Intuition is hiring a Software Engineer in Sunnyvale, California, with a focus on the Axion Data Engine and machine learning operations. This role centers on building and supporting the systems that power advanced data processing and ML workflows. Key Responsibilities Collaborate with cross-functional teams to design, build, and deploy data solutions for the Axion Data Engine. Maintain and enhance machine learning operations, aiming to improve system reliability and performance. Develop data processing capabilities that meet high standards for efficiency and accuracy. Team and Impact This position works closely with engineers and specialists from multiple areas. The work directly supports the quality and precision needed in industries that rely on advanced data and machine learning tools.

Role Overview SpaceX is seeking a Data Infrastructure Operations Manager II in Sunnyvale, CA to guide the management and optimization of data operations supporting the Starlink project. This position focuses on maintaining and improving the infrastructure behind SpaceX’s data systems, with a strong emphasis on reliability, efficiency, and scalability.