Embedded Systems Engineer - Compute Platform

● Platform Optimization & Architecture: Deep-dive analysis of the selected compute platform (SoC/GPU) to define the optimal software architecture, leveraging its unique hardware features for maximum performance.
● System Migration: Recommend architecture for the strategic migration of the robotics software stack from a distributed compute architecture to a consolidated, high-performance computer.
● Cross-Platform Compatibility: Develop and maintain a software/hardware abstraction layer to ensure the codebase remains compatible and functional on both the legacy (distributed) and new (centralized) compute platforms.
● Advanced GPU Resource Management: Design and implement state-of-the-art techniques (e.g., CUDA streams, MPS, virtualization) to manage and partition GPU resources, ensuring optimal, low-latency execution for concurrent tasks like perception and RL inference.
● System Profiling & Workload Analysis: Profile and optimize system-wide compute workloads, including analyzing GPU usage and validating high-bandwidth camera sensor interfaces (e.g., MIPI, GMSL).
● Functional Safety Implementation: Design and implement the system’s Functional Safety (FuSa) architecture, leveraging hardware-specific features like "safety islands" and isolated execution environments to meet safety goals.
● Low-Level Software Management: Manage and customize Board Support Packages (BSPs) for production hardware, writing and modifying drivers to expose the full capabilities of the SoC.

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● Embedded Systems Expertise: Deep knowledge of SoC/GPU/MCU architectures (e.g., ARM, NVIDIA, Qualcomm), memory-mapped peripherals, and hardware-software interaction.
● Systems Programming: Expert-level, systems-programming skills in C++ (11/14/17+) and strong proficiency in Python for scripting and integration.
● GPU Programming & Optimization: Strong experience with GPU programming (e.g., CUDA , OpenCL) and profiling tools. Demonstrable ability to optimize and manage concurrent GPU workloads in a real-time environment.
● Embedded Linux & RTOS: Proven experience with embedded Linux (e.g., Yocto, buildroot), kernel configuration, driver development, and managing BSPs. Experience with an RTOS is a major plus.
● System Architecture: Strong ability to design complex, multi-component software architectures, especially for real-time robotics systems (e.g., ROS/ROS2, DDS).

● Functional Safety (FuSa): Demonstrable experience with safety-critical systems and standards (e.g., ISO 26262 , IEC 61508), including practical implementation of safety-controller "islands."

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.