Staff Systems Engineer - Perception

1 month, 1 week ago
Full-time
Lead
Artificial Intelligence and Machine Learning
Apptronik

Apptronik

Apptronik develops versatile humanoid robots to tackle tasks humans prefer not to do, aiming to reshape existence and enhance universal quality of life.

Aerospace & Defense
51-250
Founded 2015
$23M raised

Description

  • Define the top-level architecture for Apollo’s perception system across visual-inertial odometry, manipulation, obstacle avoidance, and teleoperation.
  • Lead data-driven trade studies to evaluate perception architecture decisions such as sensor selection and compute allocation.
  • Own and manage key system budgets including latency, compute utilization, memory bandwidth, and field of view coverage.
  • Elicit, define, and manage perception system requirements using enterprise requirements tools.
  • Author and maintain Interface Control Documents that define interfaces between sensors, compute, and autonomy software.
  • Develop the master verification and validation plan for the perception stack, including KPIs and test methods.
  • Partner with the safety team to perform hazard analyses and define safety-critical detection zones, fail-safe states, and redundancy requirements.
  • Resolve technical conflicts between autonomy and hardware teams by balancing software needs against thermal, mechanical, and payload constraints.
  • Mentor engineers on model-based systems engineering and strong requirement-writing practices.

Requirements

  • 8+ years of experience in systems engineering for complex electromechanical systems, autonomous vehicles, aerospace, or advanced robotics.
  • Deep understanding of perception modalities such as cameras, LiDAR, radar, ToF, and IMUs, including their physics, error models, and integration challenges.
  • Strong working knowledge of how perception data is used in SLAM, object detection, kinematic planning, and sensor fusion.
  • Proven track record of managing requirements traceability and verification/validation matrices for shipped products.
  • Ability to build mathematical models in Python or MATLAB to simulate latency, field of view coverage, or optical performance.
  • Experience using requirements tools such as Jama, Polarion, or DOORS.
  • Familiarity with functional safety standards such as ISO 13849 and IEC 61508.
  • Experience with model-based systems engineering (preferred).
  • BS, MS, or PhD in Systems Engineering, Robotics, Electrical Engineering, Computer Science, or a related field.

Interested in this position?

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