TECHNE

Founding Perception Engineer

TECHNE München

Stellenbeschreibung:

Head of Robotics | Robotics & AI Recruitment Expert – Driving the future of the Robotics engineering space | Podcast Host |

FOUNDING PERCEPTION ENGINEER – AUTONOMOUS HEAVY MACHINERY

Location: On-site, San Francisco, CA, United States. Regular travel to operational sites required.

Salary: $200,000 – $300,000 with equity

NOTE: We are looking for a European candidate who is able to relocate to California, specifically.

Overview

An early-stage autonomy company is hiring a Founding Perception Engineer to lead the development of the perception stack for autonomous and remotely operated heavy machinery.

The system retrofits existing industrial vehicles and enables remote operation today, with a clear roadmap toward higher levels of autonomy.

This is a founding-level role with full ownership of perception. You define how machines understand their surroundings in some of the most challenging real-world environments.

The work is hands-on and field-driven. Success depends on robust perception under dust, vibration, glare and constant scene change.

ROLE RESPONSIBILITIES

You will own the end-to-end perception system used for remote operation and autonomy assist on heavy equipment.

  • Design and development of real-time perception pipelines for unstructured outdoor environments.
  • Camera-first perception for scene understanding in dust, glare, vibration and partial occlusion.
  • Multi-sensor fusion across cameras, LiDAR, GNSS and IMU.
  • Calibration of sensors to maintain spatial and temporal alignment under harsh conditions.
  • Real-time 3D perception and visualisation to support operator awareness and safety.
  • Deployment and optimisation of perception algorithms on edge compute platforms.
  • Development of data collection, evaluation and iteration pipelines.
  • Field testing on live machines, followed by rapid iteration based on real-world behaviour.
  • Close collaboration with hardware, tele-operation, controls and safety engineers to deliver one integrated autonomy system.

TECHNICAL SKILLSET

  • Strong camera-based perception background in robotics, autonomy or ADAS.
  • Experience building full perception pipelines rather than isolated models.
  • Knowledge of classical vision methods alongside learning-based approaches.
  • Hands-on experience with multi-sensor fusion and calibration.
  • Experience deploying perception systems on edge hardware with latency constraints.
  • Strong C++ and Python skills for production-grade perception systems.

PROFILE AND MINDSET

  • Enjoys building complete perception systems from scratch.
  • Has a track record of independent projects, research or field-deployed systems.
  • Values robustness and reliability over fragile complexity.
  • Is comfortable working in unstructured, unpredictable environments.
  • Takes full ownership and treats the perception stack as their responsibility.
  • Is willing to travel and spend time on operational sites to improve system performance.

WORKING STYLE AND EXPECTATIONS

  • Founding-level pace during key build and deployment phases.
  • Regular travel to customer or test sites.
  • ownership and direct impact on company direction.
  • Small team environment with daily interaction with leadership.
  • Decisions driven by field performance and operator feedback rather than simulation alone.

COMPENSATION AND UPSIDE

  • Highly competitive base salary.
  • Meaningful equity allocation aligned with founding status.
  • Long financial runway and strong institutional and founder backing.
  • Direct influence over a perception system that defines a new autonomy category.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering, Manufacturing, and Product Management

Industries

  • Construction, Robotics Engineering, and Robot Manufacturing

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    19 Dez 2025
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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