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Build and maintain scalable .NET backend services for automotive software platforms using Azure, AKS, and Cosmos DB, deploying infrastructure via Terraform.
Optimize system software for NVIDIA’s automotive platforms, focusing on boot/runtime performance, hypervisor overhead, and AI-assisted profiling tools.
Leads architecture and integration of automotive platform BSP and system software, defining boot flow, driving board bring-up, and ensuring multi-OS and subsystem performance for in-vehicle infotainment systems.
Develops and executes Python-based test automation for automotive software components, focusing on HIL/SIL testing, CAN/LIN/Ethernet networks, and AUTOSAR compliance to ensure vehicle OS and middleware reliability.
Leads BSP architecture and boot flow for automotive infotainment systems, integrating multi-OS (QNX/Linux/Android) and ensuring safety compliance and performance KPIs.
Develop embedded C++ software for robotics and automation systems in semiconductor manufacturing, including motion control and hardware interfaces, while collaborating on testing and troubleshooting.
Our Culture and People: At Goddard, our most important asset is our people. We don't just work together; we thrive together. We foster a culture of collaboration, continuous learning, and mutual support. We believe…
Develop and maintain embedded software for locomotive control systems, focusing on C/C++ and real-time OS like QNX, while implementing cybersecurity features and resolving field issues.
Develop and maintain embedded software for locomotive control systems using C/C++ on QNX/Linux, focusing on cybersecurity, reliability, and field support.
Lead a team to architect and deliver embedded HPC software stacks (Linux/QNX/Android) for automotive platforms, focusing on real-time and application cores while mentoring engineers and ensuring Q-C-D targets.
Field Applications Engineer supporting NXP’s AI accelerators and processors, driving customer design-in and technical support for embedded AI solutions.
Build and maintain DevOps pipelines for ADAS software, integrating AOS middleware components and cloud services to support L2/L3 autonomous driving features.
Build and maintain embedded C/C++ software for next-gen vehicle platforms using QNX or Embedded Linux, integrating in-vehicle networks and ensuring performance under hardware constraints.
Lead the design and development of high-performance C++ applications for embedded and Linux-based automotive systems, using modern C++ and tools like GTest, CMake, and Docker.
Builds C/C++ control software for robotic waterjet cutting systems in food processing, integrating real-time control, computer vision, and data-driven tools to deliver precise industrial solutions.
Builds high-performance, safety-focused infotainment UIs in C++/Qt/QML for automotive platforms (QNX/Linux/Android), integrating vehicle signals and optimizing rendering and startup performance.
Build low-level middleware APIs for NVIDIA’s DRIVE (autonomous vehicles) and Jetson (robotics) platforms, enabling safe, high-performance data sharing across GPUs, CPUs, and accelerators.
Develop and maintain the Android-based in-vehicle infotainment display and graphics stack, ensuring smooth, high-performance visuals across multi-display automotive systems using SurfaceFlinger, Hardware Composer, and Linux/Wayland stacks.
Integrate and test infotainment firmware/BSP features for automotive systems, automating tests and validating functionality across Android, Linux, and QNX platforms.
Develops automated test frameworks in Python/C++ to validate ADAS software on embedded targets and HIL/SIL benches, integrating with CI/CD to ensure software quality for features like Adaptive Cruise Control.
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