Autonomy DL Inference Engineer - Real-Time CV Acceleration

Skydio; San Mateo (CA); On-site; USD 170,000 - 277,500; Full time

Benefits offered by this job

Competitive base salary

Equity options

Comprehensive benefits packages

Relocation assistance

Job summary

A pioneering drone technology company in California is seeking a Deep Learning Infrastructure Engineer to enhance its AI capabilities. You will develop high-performance solutions for computer vision workloads and implement MLOps workflows. The ideal candidate has expertise in ML inference acceleration and image processing. Competitive salary ranges from $170,000 to $277,500, with relocation assistance available. Skydio is committed to fostering an inclusive work environment.

Qualifications

• Hands-on experience with MLOps and edge deployment.
• Strong understanding of ML inference and optimization techniques.
• Building and managing ML pipelines for vision tasks.
• Ability to navigate a complex codebase.
• Strong communication skills for effective collaboration.

Responsibilities

• Develop high-performance deep learning inference solutions.
• Profile CV and VLMs for performance and bottlenecks.
• Design and implement MLOps workflows.
• Create methods for improving training efficiency.
• Implement GPU kernels for optimized inference.
• Design SDKs for developers to create autonomous workflows.

Skills

MLOps

Deep Learning fundamentals

Computer Vision

ML frameworks and libraries

Image processing

Video processing

Effective communication

Tools

GPU kernels

Deep Learning inference acceleration

Job description

A pioneering drone technology company in California is seeking a Deep Learning Infrastructure Engineer to enhance its AI capabilities. You will develop high-performance solutions for computer vision workloads and implement MLOps workflows. The ideal candidate has expertise in ML inference acceleration and image processing. Competitive salary ranges from $170,000 to $277,500, with relocation assistance available. Skydio is committed to fostering an inclusive work environment.