AI Futures

Lead Computer Vision Engineer

AI FuturesLocation Not Available

Stellenbeschreibung:

We are supporting a well‑funded, early‑stage startup building next‑generation physical AI systems that bridge perception, decision‑making, and real‑world autonomy. Backed by leading investors, the company is focused on deploying intelligent machines into complex, unstructured environments in real‑world settings. This is an opportunity to join at an early stage and help shape both the technical direction and real‑world deployment of cutting‑edge AI systems.

We’re looking for a Lead Computer Vision Engineer to own and scale perception for next‑generation autonomous systems operating in complex, real‑world environments. This is a hands‑on leadership role, you’ll set the technical direction, architect robust vision systems, and work closely with robotics, controls, and AI teams to deliver production‑ready solutions.

What you’ll be doing:

  • Lead end‑to‑end development of computer vision systems (detection, segmentation, tracking, 3D perception)
  • Design and optimise models for real‑time, edge‑constrained environments
  • Work across multi‑sensor fusion (camera, LiDAR, radar) to improve robustness and accuracy
  • Own performance metrics (latency, accuracy, reliability) and continuously improve system performance
  • Collaborate cross‑functionally with robotics, software, and hardware teams
  • Mentor and grow a team of CV / ML engineers while setting engineering best practices

What we’re looking for:

  • Strong academic or industry background in Computer Vision, Machine Learning, or related field
  • Proven track record of deploying CV models into production environments (not just research)
  • Deep experience with PyTorch and/or TensorFlow, plus solid Python/C++ skills
  • Experience with 3D vision, SLAM, or sensor fusion is highly desirable
  • Familiarity with MLOps, data pipelines, and model lifecycle management
  • Experience working on robotics, autonomous vehicles, drones, or physical AI systems is a big plus
  • Previous leadership experience or clear readiness to step into a lead role
  • Edge deployment (NVIDIA Jetson or similar)

Why this role?

  • Build real‑world AI systems that interact with the physical environment
  • High ownership, shape architecture, team, and long‑term vision
  • Work alongside a high‑calibre, deeply technical team
  • Fast‑paced environment with real impact from day one

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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Apr 2026
  • Standort:

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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