> Markdown version of [/jobs/ext/2170049-embedded-compute-software-developer](https://www.wearedevelopers.com/jobs/ext/2170049-embedded-compute-software-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Embedded & Compute Software Developer - **Company:** Lynx Llc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Nvidia CUDA, Software Debugging, Embedded Software, General-Purpose Computing on Graphics Processing Units, Lynx, OpenGL, OpenCL, Tensorflow, Software Engineering, VxWorks, Pytorch, Gpu Programming, Information Technology, ONNX (Open Neural Network Exchange) Format, Vulkan Graphics API - **Published:** August 21, 2026 - **Apply:** https://www.dice.com/job-detail/cc610a93-976a-473b-b27f-76293a6288f3 ## About the Role Bachelor's degree in engineering (Computer, Software, Electrical), Computer Science or related field 5+ years of experience in C/C++ software development Experience with developing, debugging, and troubleshooting embedded software development Experience with ML frameworks such as PyTorch, ONNX, TensorFlow Preferred: Experience with GPU programming APIs: Vulkan, OpenGL, OpenCL, CUDA Experience with embedded real-time safety-critical operating systems (preferably Lynx, Deos, VxWorks) Experience with DO-178 or ISO26262 software development processes ## Description This role provides technical leadership in the design, development, and optimization of high-performance GPGPU and AI inference libraries built on top of Vulkan SC drivers. The position focuses on delivering efficient, scalable compute solutions across embedded GPU platforms, including Arm Mali and Intel architectures, while ensuring robust performance and reliability. Key responsibilities include driving end-to-end library development, from architecture and implementation to optimization and certification, while maintaining AI model testing infrastructure and defining validation standards. The role also leads platform porting and release efforts for new hardware targets and customer deployments, providing ongoing post-delivery support. In addition to hands-on engineering, this position plays a critical role in cross-functional collaboration: producing clear technical documentation for diverse stakeholders, contributing to competitive market analysis with product management, and supporting continuous improvement of Vulkan SC drivers through debugging and issue resolution. The role also emphasizes team growth and innovation, including mentoring engineers, onboarding new team members, and exploring emerging AI compute capabilities and use cases to expand the impact of the software stack., * Design and implement GPGPU and AI inference libraries on top of our Vulkan SC drivers, with a focus on correctness and performance * Optimize AI inference across the embedded GPU platforms we support * Lead porting and release efforts to new platforms and customers, including post-delivery support * Maintain AI model testing infrastructure and define certification requirements for compute libraries * Explore and demonstrate new capabilities and use cases for the compute library portfolio * Partner with product management on competitive analysis of AI software offerings * Produce documentation that enables knowledge transfer to customers, product management, marketing, and engineering leadership * Onboard and mentor new team members * Collaborate with Product Management, Product Architecture, and Product Development teams to translate Product Level Requirements into architectural-level decisions. ## Related Videos - [Lynx: Native for More](https://www.wearedevelopers.com/videos/1445-lynx-native-for-more) - [From Model to Metal: An Open Source Stack for Accelerating Intelligence](https://www.wearedevelopers.com/videos/1636-from-model-to-metal-an-open-source-stack-for-accelerating-intelligence) - [Making neural networks portable with ONNX](https://www.wearedevelopers.com/videos/301-making-neural-networks-portable-with-onnx) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python)