Software Engineer Manager - Physical AI Data Platform (San Jose) Job at UNION, San Jose, CA

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  • UNION
  • San Jose, CA

Job Description

Software Engineer Manager - Physical AI Data Platform

Software Engineer Manager - Physical AI Data Platform

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This range is provided by UNION. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$145,000.00/yr - $254,000.00/yr

Union Technologies is reindustrializing America’s defense manufacturing base with a first-of-its-kind Factories-as-a-Stockpile model, integrating advanced robotics, manufacturing, and software into sovereign factory systems at scale. Headquartered in Dallas, Texas, UNION is dedicated to restoring America’s industrial strength and guaranteeing deterrence for the century ahead.

We recently emerged from stealth with $50M in funding led by top-tier venture investors and strategic partners. Read more in our Press Release

Overview

Make operational teams effortlessly leverage insights from real-world industrial data, accelerating continuous improvement immediately. You'll personally ensure the data exists—designing and deploying new solutions where it doesn't—and pave the path towards sophisticated predictive analytics, simulation, and Digital Twin technologies. Initially, you’ll be deeply hands-on, proactively working through ambiguity to build from scratch. As you succeed, you'll strategically build and lead a lean, scrappy, and highly capable team.

Responsibilities

  • Own end-to-end design and hands-on implementation of our data pipelines, from physical sensor integration at the edge to analytics-ready data platforms.
  • Work backwards from essential operational insights, ensuring reliable data availability, impeccable quality, and usability from day one.
  • Deploy robust Statistical Process Control (SPC) solutions to continuously monitor, predict, and optimize industrial machinery performance.
  • Proactively prototype and rapidly deploy new sensor integrations or edge-based solutions where current data collection falls short.
  • Quickly iterate and scale custom sensor hardware, software interfaces, and edge compute infrastructure, even if initial solutions must be scrappy to validate value.
  • Provide intuitive tooling enabling operational engineers to analyze, visualize, and act on hardware-generated telemetry data in real-time.
  • Deeply influence hardware and software integration choices to ensure data-driven operational decision-making from the ground up.
  • Ensure the accuracy and integrity of data is undeniable: confidently prove data validity whenever challenged.
  • Initially operate as a high-level individual contributor, demonstrating deep technical mastery and hands-on skill, then progressively recruit, mentor, and manage a capable, execution-focused team.
  • Foster a culture of extreme ownership, accountability, and bias-for-action.

Requirements

  • Demonstrated track record of personally designing and deploying complex, hardware-driven data collection systems from scratch in industrial automation, robotics, fleet IoT, or similar physically-embedded environments.
  • Deep technical expertise in edge computing, telemetry protocols (Ethernet/IP, EtherCAT, OPC-UA), SCADA systems (such as Ignition), PLCs, HMIs, or equivalent industrial automation technologies.
  • Proven ability to select, integrate, and bring new sensor hardware online, rapidly prototyping and iterating solutions under uncertainty or constrained timelines.
  • Strong hands-on software engineering capabilities—ideally proficient with modern languages such as Go, Python, or equivalent—and comfortable quickly deploying solutions in ambiguous environments.
  • Demonstrable track record of independently leading technical projects end-to-end, even without formal team structures initially.

Bonus Qualifications

  • Experience building data platforms that support simulation, Digital Twin technologies, or advanced predictive analytics solutions.
  • Prior roles in scrappy, fast-paced startups or growth-stage companies requiring rapid iteration and extreme ownership.
  • Background in highly data-driven environments dependent on precise monitoring and control of physical assets, such as industrial automation, fleet robotics, aerospace telemetry, infrastructure monitoring, or similar fields.

Join us in transforming the future of manufacturing.

Compensation Range: $145K - $254K

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology
  • Industries

    Defense and Space Manufacturing

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Job Tags

Full time, Summer work, Immediate start,

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