Senior Full-Stack SWE, ArsenalOS Deployment

Anduril
United States
Workplace: OnsiteFull timeUSD 191,000 - 253,000 annuallyFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","Collaboration"]

Build and deploy connected sensor infrastructure and edge intelligence for factory sensing, document processing, and drawing conversion. Design IoT sensor networks, edge ML inference, and secure, scalable IoT communication using industrial protocols, then create ingestion pipelines that connect sensors, cameras, and edge devices to ML model serving. Partner with manufacturing teams, write production-quality code with testing, and operate systems in real factory environments on an on-call rotation.

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Anduril
Anduril
1 month ago

Senior Full-Stack SWE, ArsenalOS Deployment

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and deploy connected sensor infrastructure and edge intelligence for factory sensing, document processing, and drawing conversion. Design IoT sensor networks, edge ML inference, and secure, scalable IoT communication using industrial protocols, then create ingestion pipelines that connect sensors, cameras, and edge devices to ML model serving. Partner with manufacturing teams, write production-quality code with testing, and operate systems in real factory environments on an on-call rotation.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and deploy IoT sensor networks and edge devices to capture real-time factory data for ML pipelines.
  • •Develop edge intelligence systems that run ML inference locally for real-time sensing, quality inspection, and anomaly detection.
  • •Partner with manufacturing engineers and factory operators to translate workflows into IoT sensing and data collection requirements.
  • •Implement secure, scalable IoT communication architectures using industrial protocols to transmit sensor data to cloud and edge ML pipelines.
  • •Build and deploy data ingestion pipelines and edge compute architectures, supporting intermittent connectivity and on-call production support.

Pay and Benefits

Salary: USD 191,000 - 253,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of experience building production software systems in fast-paced environments.
  • •Deep expertise in IoT systems engineering, including embedded development, edge computing, and IoT cloud architectures.
  • •Proficiency in embedded/IoT programming languages such as C, C++, Python, and JavaScript/Node.js.
  • •Hands-on experience with microcontrollers and single-board computers (Arduino, Raspberry Pi, NVIDIA Jetson, or industrial equivalents).
  • •Experience with IoT communication protocols (MQTT, CoAP, HTTP/HTTPS) and wireless technologies, plus cloud IoT platforms (AWS IoT Core, Azure IoT Hub, Google Cloud IoT).
Experience:Defense technologyManufacturingIndustrial automationOTComputer visionNLPAIEdge computing
Education:Bachelor's
Skills:CommunicationCollaboration
Certifications:CompTIA IoT EngineerAWS IoT CoreAzure IoT
Languages:English
Tech Stack:IoTMLComputer visionNLPRAGRaspberry PiNVIDIA JetsonArduinoMQTTAMQPOPC-UASparkplug BCoAPHTTP/HTTPSWi-FiBluetoothLoRa5GZigbeeAWS IoT Core

Eligibility

Security Clearance:Secret

Company Brief

Anduril
Designs and builds advanced defense systems combining autonomous aircraft, sensors, and AI-driven software for military and national security applications, focused on modernizing battlefield capabilities and distributed sensing.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Costa Mesa, United States
Founded: 2017
WebsiteLinkedIn