Embedded Software Engineer

Introduction

This role focuses on deploying and optimizing software as well as neural networks on embedded hardware, including Nvidia Orin and Thor. The position requires expertise in cross-compilation, GPU/accelerator optimization, and creating CI/CD pipelines.

Required Skills & Qualifications (Must-have qualifications that candidates must meet to be considered)

• Strong analytical and conceptual problem-solving capabilities
• Effective planning, organization, and time management
• Ability to independently solve complex technical challenges
• Excellent communication skills and collaborative mindset
• Comfortable working in ambiguous, fast-paced environments
• Hands-on experience in robotics domains such as perception, sensor fusion, planning, or mapping
• Experience with C/C++ and Python in automotive or robotics domains
• Experience with real-time systems and multi-threaded programming
• Familiarity with ARM64 Linux development, TensorRT, cuDNN, CUDA, and NVIDIA DriveWorks
• Understanding of modern software design patterns and safety-critical coding practices
• Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2

Preferred Skills & Qualifications (Nice-to-have skills but are not required)

• Familiarity with automotive communication standards: CAN, FlexRay, Ethernet
• Experience with GitLab, Jira, Codebeamer
• Exposure to ROS/ROS2, DDS, or other automotive middleware

Day-to-Day Responsibilities (key tasks and expectations for the role)

• Develop and cross-compile C/C++ and CUDA code
• Create build pipelines for different targets using TensorRT, cuDNN, CUDA, and NVIDIA DriveWorks
• Support the optimization and deployment of neural networks on NVIDIA Drive platforms (Orin, Thor)
• Implement hardware-accelerated algorithms for perception, localization, and planning tasks
• Profile and tune GPU/accelerator performance across different driving scenarios
• Build and maintain CI/CD workflows for cross-compiled builds targeting ARM64/Linux
• Spread knowledge and create guidelines for other engineers and provide architecture guidance
• Collaborate with cross-functional teams to ensure end-to-end performance
• Perform root-cause analysis and debugging of platform-specific issues

For immediate consideration please click APPLY to begin the screening process with Alex.