Remote Autonomy Systems Architect - Simulation & Safety

Grid Dynamics; United States; À distance; USD 180 000 - 250 000; Plein temps

Résumé du poste

Grid Dynamics is seeking an experienced Simulation & Autonomy Systems Architect to lead the autonomy stack from prototype to a deployable product at customer sites. This remote role with pre-approved client-site travel will own simulation strategy, safety cases, and fast reactive safety layers, while mentoring a small, fast-moving team.

You will coordinate across perception, planning, and control, guide hardware/software integration, and define degradations and fallback paths for

Qualifications

• 10+ years in autonomous systems (robotaxi, autonomous trucking, mining, agriculture or construction autonomy)
• Hands-on ownership of behavior, planning or control software in a deployed autonomy stack
• Proven design of minimum-risk maneuvers, fallback trajectories and degraded modes of operation
• Simulation strategy for autonomy: integrating simulation into development and validation loop, with scenarios, sensor models and data contracts
• System safety practice: FMEA, hazard analysis and close work with functional safety teams (ISO 26262, ISO 21448 SOTIF or similar)
• Vehicle and powertrain dynamics for heavy machines: braking and traction limits under load, on slopes and in rough terrain
• Software architecture and hardware/software integration for real-time systems on embedded compute
• Strong hands-on coding skills in C++ and Python, with a track record of using AI coding agents to accelerate development and problem-solving
• Heavy-duty or off-road autonomy, such as trucks, mining haul or construction equipment
• End-to-end learned driving or VLA models, and how to wrap them in safety envelopes
• Field and rapid-response engineering: fast fixes from field issues

Responsabilités

• Own the program's simulation strategy: how simulation feeds autonomy development and validation, scenario coverage, and how real and simulated data are combined
• Lead failure analysis (FMEA and fault-tree analysis) across perception, planning and control and hardware, starting now rather than after launch
• Design degraded modes and minimum-risk conditions: health monitors, run levels, fail-operational versus fail-safe behavior, and fallback paths
• Architect fast reactive safety layers, such as collision-imminent braking that doesn't wait on the full perception pipeline, while keeping false positives low
• Define cross-cutting architecture outside any single team: software and hardware integration, interfaces and system-level features
• Work with safety engineering on a safety case: acceptable event rates for a given fleet and operating hours, and the signals to track to show due diligence
• Bridge hardware and software timelines: tell hardware teams which requirements must be fixed now and which can wait
• Write, review and guide code produced with AI coding agents inside guardrails such as automated tests and toolchain checks
• Lead the simulation workstream's contribution to the 2027 Program Charter and Roadmap, and guide the two Simulation & Perception architects on the team
• Mentor engineers and lead by example in a small, fast-moving team

Connaissances

C++

Python

Simulation

AI coding agents

Leadership

Mentorship

FMEA

Safety-critical

Autonomy systems

Fault-tree analysis

Outils

NVIDIA Omniverse

CARLA

NVIDIA Isaac Sim

Description du poste

Grid Dynamics is seeking an experienced Simulation & Autonomy Systems Architect to lead the autonomy stack from prototype to a deployable product at customer sites. This remote role with pre-approved client-site travel will own simulation strategy, safety cases, and fast reactive safety layers, while mentoring a small, fast-moving team.

You will coordinate across perception, planning, and control, guide hardware/software integration, and define degradations and fallback paths for