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1–2 jobs· newest first

Software Engineering Manager (ArsenalOS Deployment)
Anduril Industries · Santa Ana, US
$191K–$254KFull-time · Manager
AI Operations Engineer
ARX Robotics GmbH · Munich, Germany
Hybrid

+10K new in the last hour

Software Engineering Manager (ArsenalOS Deployment)

Anduril Industries · Posted Nov 10, 2026

Santa Ana, California, United States
Full-time · Manager
$191K–$254K per year
8+ years

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Lead a team of full‑stack engineers building ArsenalOS applications for production planning, work assignment, and operational dashboards.

Compensation

$191,000—$254,000 USD

Responsibilities

Lead, mentor, and grow a team of full‑stack software engineers
Hire exceptional engineering talent
Set technical direction and architectural standards
Partner with manufacturing engineers and operators
Drive delivery and execution

Requirements

Degree in Computer Science, Information Systems, Engineering, or related technical field
Nice to have: Manufacturing, industrial, or OT‑adjacent domains
Nice to have: MES, SCADA, PLC integration
Nice to have: Offline‑capable applications
Nice to have: Mobile‑first interfaces

Skills

Full‑stack web development Frontend and backend systems Modern software architectures APIs Distributed systems CI/CD Cloud or edge infrastructure High availability Operational excellence On‑call rotations Incident response Production system reliability JavaScript TypeScript React Next.js Node.js Modern web frameworks

Benefits

Health benefits
Comprehensive benefits package
Competitive equity grants
Top‑tier benefits for full‑time employees

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AI Operations Engineer

ARX Robotics GmbH · Posted Nov 6, 2026

Munich, Bavaria, Germany
Hybrid

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Ensure AI systems run reliably, securely, and at scale, from model deployment to internal tooling.

Compensation

Competitive compensation package including a bonus opportunity

Responsibilities

Build reliable pipelines for deploying, monitoring, and updating AI and autonomy models in production environments
Develop observability and evaluation frameworks to track model performance, data drift, and system health
Automate data ingestion, training workflows, and release processes
Integrate and develop internal AI tooling that supports engineering, operations, and governance teams
Document and maintain runbooks to keep AI systems auditable and maintainable

Requirements

Nice to have: MLOps
Nice to have: DevOps
Nice to have: platform engineering
Nice to have: security compliance
Nice to have: responsible AI practices

Skills

Python Docker Kubernetes CI/CD pipelines infrastructure-as-code

ML lifecycle tools

model monitoring solutions

modern software architectures

Benefits

27 vacation days to start, increasing with tenure up to 30 days
Employer-supported pension contribution
Learning & development support
Team events budget
Employee discounts

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