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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ADAS/ AD - Embedded Software Engineer - **Company:** Bertrandt US Inc - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Salary:** $122,699.0 - $203,840.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Artificial Neural Networks, JIRA, C++ (Programming Language), Nvidia CUDA, Continuous Integration, Software Debugging, Software Design Patterns, Linux, Embedded Software, Ethernet, FlexRay, Python (Programming Language), Software Architecture, Sensor Fusion, Software Engineering, CodeBeamer, Multithreading, Real Time Systems, Delivery Pipeline, Gitlab, Linux Development, Information Technology, TensorRT, Multiaccess Edge Computing - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=48654dd03585fa06 ## About the Role This role focuses on deploying and optimizing software and neural networks on embedded hardware platforms, including NVIDIA Orin and Thor. The ideal candidate will possess expertise in cross-compilation, GPU and accelerator optimization, and CI/CD pipeline development. The successful candidate will work closely with software, robotics, and systems engineering teams to optimize performance across autonomous driving applications, including perception, localization, and planning. This position requires strong technical leadership, hands-on development experience, and the ability to provide architectural guidance to engineering teams., * Bachelor's Degree in Robotics, Computer Science, Software Engineering, or a related technical field. * 3-5 years of professional software development experience. * Strong analytical thinking and conceptual problem-solving skills. * Excellent planning, organization, and time management abilities. * Proven ability to independently solve complex technical challenges. * Strong verbal and written communication skills. * Collaborative mindset with the ability to work effectively across multidisciplinary teams. * Comfortable working in fast-paced, evolving, and ambiguous environments. * Hands-on experience within robotics-related domains, including Perception, Sensor Fusion, Planning, Mapping * Strong experience with C/C++ and Python development in automotive, robotics, or embedded systems environments. * Experience with real-time systems and multi-threaded software development. * Familiarity with: ARM64 Linux development, TensorRT, cuDNN, CUDA, NVIDIA DriveWorks. * Understanding of modern software architecture, design patterns, and safety-critical coding practices., * Master's Degree or PhD in Robotics, Computer Science, or a related field. * Familiarity with automotive communication standards, including CAN, FlexRay, Ethernet, * Experience with, GitLab, Jira, Codebeamer. * Exposure to, ROS/ROS2, DDS, Automotive middleware technologies * Experience supporting autonomous driving, embedded AI, or edge-computing applications. ## Description * Develop and cross-compile C/C++ and CUDA applications. * Create and maintain build pipelines for multiple hardware targets using: TensorRT, cuDNN, CUDA, NVIDIA DriveWorks * Support optimization and deployment of neural networks on NVIDIA Drive platforms including Orin and Thor. * Implement hardware-accelerated algorithms for perception, localization, and planning applications. * Profile, benchmark, and tune GPU and accelerator performance across various driving scenarios. * Build and maintain CI/CD workflows for cross-compiled ARM64/Linux deployments. * Develop best practices, technical guidelines, and knowledge-sharing resources for engineering teams. * Provide architecture guidance and technical leadership across projects. * Collaborate with cross-functional teams to ensure end-to-end system performance and scalability. * Perform root-cause analysis, debugging, and resolution of platform-specific software and hardware issues. ## Related Videos - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Are Code Reviews Worth It? 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