Careers at AI-Nauts

Design and optimize low-level software components and bootloaders for next-generation automotive SoCs. This role focuses on Linux kernel customization, RTOS maintenance, and hardware-software integration to meet rigorous automotive performance and power standards.

Architect and implement high-throughput kernel-level and bare-metal device drivers for custom chip peripherals. Success involves optimizing memory-to-peripheral pipelines and ensuring stable communication across multiple interface standards in an automotive context.

Develop low-latency, bare-metal or RTOS-based firmware for standalone monitoring microcontrollers (MCUs) in an automotive environment. This role focuses on implementing safety features, state machines, and vehicle network communication layers while collaborating with SoC architects.

Develop low-latency, safety-critical firmware for standalone monitoring microcontrollers within automotive systems. The role focuses on building robust bare-metal and RTOS-based solutions that handle vehicle communication layers and hardware safety checks.

Lead the analysis and optimization of system-level performance across heterogeneous multi-core architectures including CPUs, GPUs, and NPUs. This role ensures maximum resource utilization and eliminates system latencies through advanced modeling and simulation prior to physical silicon tape-out.

Lead the configuration, integration, and development of AUTOSAR Basic Software modules for automotive ECUs. This role ensures that low-level software stacks meet stringent ASIL-D safety requirements while handling complex communication and diagnostics protocols.

Architect and maintain automated CI/CD pipelines and build systems specifically for embedded environments. Success involves bridging software toolchains with physical hardware labs to enable automated flashing and testing of low-level code.

Lead the development and optimization of high-performance infotainment platforms by bridging the gap between embedded hardware and multimedia subsystems. This role focuses on configuring virtualized environments to isolate safety-critical functions while ensuring a responsive, high-fidelity user experience.

The Mid-Level Autonomous Driving Integration Engineer will focus on the integration and optimization of high-bandwidth sensor data feeds into autonomous driving SoC memory buses. This role is critical for ensuring deterministic network synchronization and building efficient memory pipelines that power advanced perception algorithms.

Lead the physical bring-up and validation of custom hardware prototypes in a lab environment. This role is responsible for troubleshooting complex system crashes and distinguishing between software race conditions and hardware flaws to ensure system integrity.