5 real time data engineer jobs at 5 companies in Ripon, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
BDNYSE: BDX: Manufactures medical devices, surgical instruments, and pharmacy automation systems.
12+ YOEBachelor’s in engineering,12+ years systems engineering experience, expertise in real-time control, data pipeline and FPGA processing, optics and fluidics knowledge, regulated design control experience.
RTOS, FPGA, DMA, PCIe, USB 3.0, Gigabit Ethernet, RS232, USB, TCP/IP, CAN bus, SPI, I2C
RokuNASDAQ: ROKU: Operates a TV streaming platform and sells streaming hardware.
7+ YOESenior backend engineer with 7+ years in distributed data processing, expert in Java, Spark/Kafka/Flink, and cloud platforms; strong distributed systems and real-time data pipelines.
Java, Akka, Spring Boot, Apache Spark, Kafka, Flink, DynamoDB, Aerospike, AWS, Azure, Google Cloud, Docker, Kubernetes, SQL, NoSQL
Senior / Staff AI Research Engineer, Embodied Systems Lead
Milpitas, California, United States
OnsiteFull Time
RoboForce: Develops autonomous AI robots for industrial labor tasks.
Lead end-to-end embodied systems for on-robot inference, data collection, teleoperation, and on-robot RL. Strong C++ and Python skills, ROS/ROS2 experience, systems and real-time engineering background, prior leadership on robotic systems.
Senior Technical Program Manager, Productivity Engineering (Data Platform · AI Transformation)
Pleasanton, California, United States
$164k-$222k/yrOnsiteFull Time
10x GenomicsNASDAQ: TXG: Develops platforms for high-resolution single-cell and spatial biological analysis.
5+ YOE5+ years TPM experience leading complex, multi‑stakeholder data/platform programs; hands-on delivery across pipelines, warehousing, ELT and real‑time flows; startup or early‑stage experience; strong communication; familiarity with AI/ML program delivery.