Chief Autonomy Simulation & Safety Architect

Grid Dynamics; Wrocław; On-site; PLN 500,000 - 750,000; Full time

Benefits offered by this job

Flexible schedule

Medical insurance

Professional development

Well-equipped office

Job summary

Grid Dynamics is seeking a Lead Simulation & Autonomy Systems Architect to advance a physical AI program for a global heavy-equipment manufacturer. You will own the simulation strategy for autonomy development, lead architecture for fault detection, safety, and degraded modes, and guide AI-assisted coding from pilot to real machines.

You will work with function leads and engineering teams, steering the roadmap for 2027 and mentoring two architects in a fast-moving environment.

Qualifications

• 10+ years of experience in autonomous systems in heavy equipment domains.
• Hands-on ownership of behavior, planning or control software in an deployed autonomy stack.
• Experience integrating simulation into development and validation loops with sensor models.
• FMEA and safety analysis work with ISO 26262/SOTIF or similar.

Responsibilities

• Own simulation strategy for autonomy development and validation, including scenario coverage and data fusion.
• Lead FMEA and fault-tree analysis across perception, planning, control and hardware.
• Design health monitors, degraded modes, and safe fallback paths; implement fast reactive safety features.
• Define software/hardware interfaces and system-level features beyond any single team; align hardware/software timelines.
• Write and review code with AI coding agents within guardrails and tests; move to implementation and testing on real machines.
• Lead the simulation workstream and mentor two architects in a startup-style team.

Skills

Autonomous systems

C++

Python

Real-time systems

Safety analysis

Simulation

Leadership

Tools

NVIDIA Isaac Sim

CARLA

Job description

Grid Dynamics is seeking a Lead Simulation & Autonomy Systems Architect to advance a physical AI program for a global heavy-equipment manufacturer. You will own the simulation strategy for autonomy development, lead architecture for fault detection, safety, and degraded modes, and guide AI-assisted coding from pilot to real machines.

You will work with function leads and engineering teams, steering the roadmap for 2027 and mentoring two architects in a fast-moving environment.