Skydio
Autonomy Engineer - Deep Learning Model Acceleration
San Mateo, California, United States (Remote)$170k–$277.5kfulltimemidAdded 1 month ago
About this role
Skydio is seeking an Autonomy Engineer to enhance deep learning model acceleration and infrastructure for real-time computer vision tasks. The role involves designing solutions for high-performance inference across various hardware and creating MLOps workflows for efficient model deployment.
What you'll do
- Develop high-performance deep learning inference solutions
- Analyze and optimize performance of computer vision models
- Design end-to-end MLOps workflows for model management
- Improve training efficiency with innovative methods
- Implement custom GPU kernels for optimized inference
- Create SDKs for customer autonomous workflows
What they're looking for
- Experience with MLOps and ML inference optimization
- Strong knowledge of deep learning models and architectures
- Fundamentals in computer vision and image processing
- Hands-on experience with ML pipelines
- Understanding of security in ML infrastructure
- Familiarity with ML frameworks and libraries
- Ability to manage the software lifecycle
- Effective communication and collaboration skills
Benefits
- Competitive base salary
- Equity in the form of stock options
- Comprehensive benefits package
- Paid vacation and sick leave
- 401K savings plan
- Relocation assistance for eligible roles
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Skydio
Skydio builds autonomous drone technology powered by sophisticated RF, electrical, and embedded systems. The company is hiring RF engineers, electrical engineers, embedded software engineers, cloud platform engineers, and deployment engineers to develop and support its connected drone products.
- Website
- skydio.com