Autonomy Engineer - Deep Learning Model Acceleration

• Develop solutions for high-performance deep learning inference for CV workloads that can deliver high throughput and low latency on different hardware platforms
• Profile CV and Vision Language Models (VLMs) to analyze performance, identify bottlenecks and acceleration/optimization opportunities and improve power efficiency of deep learning inference workloads
• Design and implement end to end MLOps workflows for model deployment, monitoring, and re-training
• Utilize advanced Machine Learning knowledge to leverage training or runtime frameworks or model efficiency tools to improve system performance
• Create new methods for improving training efficiency
• Implement GPU kernels for custom architectures and optimized inference
• Design and implement SDKs that allow customers/external developers to create autonomous workflows using Machine Learning (ML)
• Leverage your expertise and best-practices to uphold and improve Skydio’s engineering standards

• Demonstrated hands-on experience with MLOps, ML inference acceleration/optimization, and edge deployment
• Strong knowledge of DL fundamentals, techniques, and state-of-the-art DL models/architectures
• Strong fundamentals in CV, image processing, and video processing
• Demonstrated hands-on experience building and managing ML pipelines for solving vision or vision language tasks including data preparation, model training, model deployment, and monitoring
• Experience and understanding of security and compliance requirements in ML infrastructure
• Experience with ML frameworks and libraries
• You have demonstrated ability to take a concept and systematically drive it through the software lifecycle: architecture, development, testing, and deployment, and monitoring
• You are comfortable navigating and delivering within a complex codebase
• Strong communication skills and the ability to collaborate effectively at all levels of technical depth

Compensation Range: The annual base salary range for this position is $170,000 - 277,500*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends.

*For some positions the pay may be dependent upon the individual's regional location.

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