Grid Dynamics

Lead Simulation & Autonomy Systems Architect

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C-Level / ManagerHybryda·WarszawaFull-time·B2B

#461515·Dodano 12 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

C++PythonNVIDIA

Podsumowanie oferty

Lead simulation strategy and system architecture for a physical AI program developing an autonomy product for a global heavy-equipment manufacturer. The role focuses on autonomy development and validation, fault handling and safe-state behavior, with hands-on work in C++ and Python.

Wymagania

10+ years of experience in autonomous systems, such as robotaxi, autonomous trucking, mining, agriculture or construction autonomy.
Hands-on ownership of behavior, planning or control software in a deployed autonomy stack, including proven design of minimum-risk maneuvers, fallback trajectories and degraded modes.
Experience integrating simulation into the development and validation loop, including scenarios, sensor models and data contracts between simulation and the autonomy stack (NVIDIA Isaac Sim, CARLA or equivalent).
Experience with FMEA, hazard analysis and close collaboration with functional safety teams (ISO 26262, ISO 21448 SOTIF or similar).
Understanding of vehicle and powertrain dynamics, including braking and traction limits under load, on slopes and in rough terrain.
Software architecture and hardware/software integration experience for real-time systems on embedded compute.
Continues to write code in C++ and Python and is comfortable working through AI coding agents.

Nice to have:

Experience with autonomous trucks, mining haul or construction equipment, and field and rapid-response engineering that turns field issues into fast fixes.
Experience with end-to-end learned driving or VLA models and wrapping them in safety envelopes.
Experience with NVIDIA Omniverse and synthetic data generation for training and testing.
Experience doing more with less while managing several teams, and patents or publications in autonomy, safety or control.

Obowiązki

Simulation Strategy:

Own how simulation supports autonomy development and validation, including scenario coverage, combining real and simulated data, and validating degraded modes and safety scenarios.

Failure Analysis & Safety Case:

Lead FMEA and fault-tree analysis across perception, planning, control and hardware.
Map each failure to a detection mechanism and safe response.
Work with safety engineering on a safety case covering acceptable fleet event rates and evidence of due diligence.

Degraded Modes & Reactive Safety:

Design health monitors, run levels, fail-operational and fail-safe behavior, minimum-risk conditions, and fallback paths for a simpler system.
Design fast reactive layers, such as collision-imminent braking that does not wait for the full perception pipeline, while keeping false positives low.

Cross-Cutting System Architecture:

Define software/hardware integration, interfaces and system-level features spanning teams.
Bridge hardware and software timelines by advising hardware teams which requirements must be fixed now and which can wait.

Hands-On Code with AI Agents:

Write, review and guide code produced with AI coding agents, using guardrails such as automated tests and toolchain checks.
Take degraded-mode architecture through implementation and testing on real machines.

Roadmap & Team Leadership:

Lead the simulation workstream’s contribution to the 2027 program charter and roadmap.
Guide two Simulation & Perception architects and mentor engineers.

Benefity

Flexible schedule.
Benefits package including medical insurance and sports.
Corporate social events.
Professional development opportunities.
Well-equipped office.

Elastyczne godziny

Ubezpieczenie

Karta sportowa

Spotkania integracyjne

Inne informacje

Availability for pre-approved trips to client sites.

Grid Dynamics

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