Autonomy Engineer - Deep Learning Infrastructure

Skydio
San Mateo
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Problem-solving"]

Deep learning infrastructure engineer building and scaling the infrastructure supporting DL/AI efforts, collaborating with autonomy, embedded and cloud teams to enable high-performance CV inference, ML pipelines, and model deployment. You will optimize workloads across hardware, profile CV/VLMs, and contribute to end-to-end MLOps, SDKs, and engineering standards in a complex codebase.

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FursaFursa
Skydio
Skydio
8 months ago

Autonomy Engineer - Deep Learning Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Deep learning infrastructure engineer building and scaling the infrastructure supporting DL/AI efforts, collaborating with autonomy, embedded and cloud teams to enable high-performance CV inference, ML pipelines, and model deployment. You will optimize workloads across hardware, profile CV/VLMs, and contribute to end-to-end MLOps, SDKs, and engineering standards in a complex codebase.
Location: San Mateo
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Develop solutions for high-performance deep learning inference for CV workloads delivering high throughput and low latency across hardware platforms
  • •Profile CV and Vision Language Models to analyze performance, bottlenecks, and improve power efficiency of inference workloads
  • •Design and implement end-to-end MLOps workflows for model deployment, monitoring and re-training
  • •Utilize ML knowledge to leverage training or runtime frameworks and model efficiency tools to improve system performance
  • •Create methods for improving training efficiency and implement GPU kernels for custom architectures and optimized inference

Pay and Benefits

Equity and Bonus:Equity
Perks:EquityHealth Insurance401k

Key Requirements

  • •Hands-on experience with MLOps, ML inference 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
  • •Experience building and managing ML pipelines for vision/vision-language tasks (data prep, model training, deployment, monitoring)
  • •Experience with security and compliance requirements in ML infrastructure
Experience:Computer visionMachine learningAiDeep learning
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PyTorchTensorFlowCUDAML frameworksGPU

Company Brief

Skydio
Designs and manufactures autonomous consumer and enterprise drones using AI-powered vision and navigation systems for inspection, mapping, public safety, and industrial applications. Focuses on rugged, fully autonomous flight and end-to-end drone solutions.
Industry: Drones & Aerial Logistics
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: San Mateo, United States
Founded: 2014
WebsiteLinkedIn