Autonomy Engineer - Deep Learning Model Acceleration

Skydio
San Mateo
Workplace: RemoteFull timeUSD 170,000 - 277,500 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Problem-solving"]

We are building and scaling infrastructure for Skydio’s Deep Learning and AI efforts, enabling high-performance inference for computer vision workloads across diverse hardware. You’ll develop MLOps pipelines, profile CV/VLM workloads, optimize training and inference, and create SDKs for autonomous workflows, collaborating across autonomy, embedded, and cloud teams to raise efficiency and reliability of DL systems.

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FursaFursa
Skydio
Skydio
8 months ago

Autonomy Engineer - Deep Learning Model Acceleration

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

We are building and scaling infrastructure for Skydio’s Deep Learning and AI efforts, enabling high-performance inference for computer vision workloads across diverse hardware. You’ll develop MLOps pipelines, profile CV/VLM workloads, optimize training and inference, and create SDKs for autonomous workflows, collaborating across autonomy, embedded, and cloud teams to raise efficiency and reliability of DL systems.
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 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.

Pay and Benefits

Salary: USD 170,000 - 277,500 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveHoliday PayEquity

Key Requirements

  • •Demonstrated hands-on experience with MLOps, ML inference acceleration, 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 with ML frameworks and libraries.
Experience:Machine learningComputer visionEdge deployment
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:GPUCUDAMLOps

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