Job Description
A Senior Edge Compute Software Engineer responsible for developing, integrating, and optimizing Loft's Ultimate Edge SDK for embedded platforms, with a focus on NVIDIA Orin systems, to enhance onboard computing capabilities for space missions.
Key Responsibilities
- Develop, integrate, and optimize Loft's Ultimate Edge SDK for embedded platforms, focusing on NVIDIA Orin systems.
- Integrate ONNX inference runtimes and image-processing frameworks like OpenCV into the SDK.
- Configure and optimize GPU-accelerated and heterogeneous runtime environments for efficient resource utilization.
- Profile, benchmark, and perform performance tuning across multiple embedded hardware platforms.
- Collaborate with cross-functional teams to ensure smooth deployment of edge applications.
- Support continuous improvement of the onboard compute stack through testing, documentation, and validation.
Requirements
- Experience in developing, integrating, and optimizing software for embedded platforms, specifically with a focus on NVIDIA Orin based systems.
- Proficiency in integrating ONNX-based inference runtimes and image-processing frameworks such as ONNX Runtime and OpenCV into software development projects.
- Ability to configure and optimize GPU-accelerated and heterogeneous runtime environments to ensure efficient use of available resources.
- Experience in profiling, benchmarking, and performance tuning of software across multiple embedded platforms.
- Strong collaboration skills to work effectively with other teams in Loft to ensure smooth deployment of edge applications.
- Experience supporting the continuous improvement of onboard compute stacks through structured testing, documentation, and validation.
- Educational background that supports the role, such as a degree in Computer Science, Electrical Engineering, or a related technical field (implied but not explicitly stated).
Benefits & Perks
Work on cutting-edge edge compute SDK development and optimization
Collaborate with international teams across multiple locations (San Francisco, Golden, Toulouse)
Opportunity to contribute to space missions and onboard computing capabilities
Autonomy and ownership in solving significant technical challenges
Supportive and diverse team environment
Possibility to work on GPU-accelerated and heterogeneous runtime environments
Engagement in structured testing, documentation, and validation processes
Ready to Apply?
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