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Computer Vision Engineer — autonomy
Anduril Industries
Diese Ausschreibung ist optimiert für KI-native Talente : klare Skills und Tools, damit Kandidaten vor der Bewerbung einschätzen können, ob es passt — und Sie weniger Fehlpassungen screenen.
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Arbeitsort-Modell Hybrid
Standort 1400 S Coast Dr, Costa Mesa, CA 92626, United States · Hybrid
Vergütung $160k–$210k + equity Benefits Equity, defense tech mission. Bewerbung Edge CV deployment with constraints.
Veröffentlicht 14. Juni 2026
Aktualisiert 8. Juli 2026 Anduril Industries is hiring a Senior Computer Vision Engineer — autonomy on the Perception team (Hybrid · Costa Mesa, United States). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Anduril develops defense and autonomy technology with computer vision at the edge. Costa Mesa teams ship perception for real-world missions.
Computer Vision Engineer: detection/tracking, sensor fusion, and robust deployment in constrained environments.
What you will do
Ship production defense computer vision with clear evaluation, monitoring, and rollback paths—not demo-only notebooks. Partner with product, design, and domain experts on requirements, trade-offs, and safe rollout. Improve data quality, labeling, and offline metrics that correlate with business KPIs. Document architectures and runbooks for on-call and customer-facing teams. Mentor engineers on testing, observability, and responsible AI practices. What we look for
Strong Python and modern ML/LLM stack experience with multiple shipped features. Comfort with SQL, experimentation, and communicating results to non-technical stakeholders. Pragmatic ownership from prototype to production—including cost and latency budgets. Eligible to work in the listed country; professional English (French a plus for Paris roles). Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).
✓ You can show evidence in your application: Edge CV deployment with constraints. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, and Docker. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Costa Mesa, United States)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: $160k–$210k + equity, benefits in At a glance) and your expectations align. Was der Arbeitgeber möchte
Edge CV deployment with constraints.
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Registrieren Sie sich, fügen Sie Überschrift und Bio hinzu, dann können Sie unter Mein Konto einen CV-Link oder PDF anhängen, bevor Sie sich bewerben. So bleiben Bewerbungen mit Ihrem Profil verknüpft.
Vorschläge
KI-Talente, die auch passen könnten Profile nach Überschneidung mit Skills und Tools dieser Rolle — hilfreich beim Team-Recruiting oder für Alternativen.
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Titel
Computer Vision Engineer — autonomy
Bewerben Für Teams, die Menschen einstellen, die mit KI arbeiten — nicht nur drumherum.
Kandidaten sehen Skills und Tools sofort; Sie erhalten strukturierte Bewerbungen in einem Dashboard.
Erreichen Sie KI-Praktiker mit klaren, nachweisbaren Erwartungen.
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