Simulation & Autonomy Systems Architect

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. It helps enterprise companies address technical challenges and achieve business outcomes during business transformation, with expertise in enterprise AI, data, analytics, cloud and DevOps, application modernization, and customer experience.

• Own the simulation strategy for autonomy development and validation, including scenario coverage, combining real and simulated data, and validating degraded modes and safety scenarios in simulation
• Lead FMEA and fault-tree analysis across perception, planning, control, and hardware; map failures to detection mechanisms and safe responses; work with safety engineering on a safety case covering acceptable fleet event rates and due-diligence signals
• Design health monitors, run levels, fail-operational and fail-safe behavior, minimum-risk conditions, fallback paths, and fast reactive safety layers such as collision-imminent braking, while keeping false positives low
• Define software/hardware integration, interfaces, and system-level features across teams; advise hardware teams on which requirements must be fixed immediately and which can wait
• Write, review, and guide code produced with AI coding agents within guardrails such as automated tests and toolchain checks; implement and test degraded-mode architecture on real machines
• Lead the simulation workstream’s contribution to the 2027 program charter and roadmap
• Guide two Simulation & Perception architects and mentor engineers in a small, fast-moving, startup-style team

• 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 autonomy development and validation, 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
• Experience with software architecture and hardware/software integration for real-time systems on embedded compute
• Continue to write code in C++ and Python and be comfortable working with AI coding agents
• Будет плюсом: experience with autonomous trucks, mining haul or construction equipment; field and rapid-response engineering that turns field issues into fast fixes; end-to-end learned driving or VLA models and safety envelopes; NVIDIA Omniverse and synthetic data generation for training and testing; doing more with less while managing several teams; patents or publications in autonomy, safety, or control; availability for pre-approved trips to client sites

• Competitive salary
• Flexible schedule
• Benefits package: medical insurance and sports
• Corporate social events
• Professional development opportunities
• Well-equipped office