Skydio
Autonomy Engineer - Deep Learning Model Acceleration
$170K–$278K
San Mateo, California, United States · Hybrid · Full-time · Posted Dec 15, 2025
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- For positions in the United States, Skydio uses E-Verify to confirm employment eligibility.
About the job
Build and scale deep learning infrastructure and accelerate computer-vision model inference for Skydio’s autonomous drones across hardware platforms.
What you'll do
- Develop and optimize high-throughput, low-latency inference, profiling models and improving power efficiency.
- Design MLOps workflows for model deployment, monitoring, retraining, and more efficient training.
- Implement custom GPU kernels and SDKs for machine-learning-based autonomous workflows.
What they ask for
- Hands-on experience with MLOps, inference acceleration or optimization, and edge deployment.
- Strong knowledge of deep learning fundamentals, models, and architectures.
- Strong computer vision, image processing, and video processing fundamentals.
- Hands-on experience building and managing ML pipelines for vision or vision-language tasks.
Nice to have
- Experience with security and compliance requirements in ML infrastructure.
- FAA Part 107 certification is strongly encouraged within the first 60 days; required for certain positions.
Pay
$170,000 - $277,500 USD annual base salary
Tools
Deep Learning, Computer Vision, Vision Language Models (VLMs), MLOps, Machine Learning, GPU
AI focus
Accelerate deep learning inference for computer-vision and vision-language workloads on different hardware; build and manage model training, deployment, monitoring, and retraining workflows.
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