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Encord

AI-native data infrastructure for Physical AI

Forward Deployed Software Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 4 or more years of software engineering experience and strong computer science fundamentals.
  • Have experience building production software across the stack, including product-facing applications, application programming interfaces, backend services, and data workflows.
  • Have strong system design judgment and experience making architecture decisions for complex software.
  • Have strong coding skills in a modern programming language.
  • Have evidence of owning technical problems end to end, from design through production.
  • Have strong product judgment, technical communication, and stakeholder management skills.

Responsibilities

  • Design and build production software for complex data, machine learning, and application environments.
  • Own system design decisions for deployments, balancing correctness, scalability, performance, and speed.
  • Work directly with customers and their engineering teams to understand ambiguous problems and define technical solutions.
  • Build across the stack, including application programming interfaces, data workflows, backend systems, and product-facing functionality.
  • Own deployments from technical scoping through implementation, rollout, and iteration.
  • Turn recurring customer problems into reusable tooling and product capabilities.
  • Debug complex production issues involving reliability, performance, and data flow.
  • Communicate technical decisions and trade-offs clearly to technical and non-technical stakeholders.
  • Operate with high autonomy and own problems end to end.
  • Feed deployment insights back into Product and Engineering, and help shape the Forward Deployed Software Engineer function as the team grows.

Desired Qualifications

  • Python is a plus.
  • Experience working directly with users, customers, or external engineering teams is a plus.
  • Experience in a high-growth startup, developer platform, or machine learning/data product environment is a bonus.

About the Company

Encord

AI-native data infrastructure for Physical AI

Encord provides an AI-native data infrastructure platform for Physical AI, helping enterprises manage multimodal data for robotics, autonomous systems, and related applications. It offers Encord Annotate for collaborative multimodal annotation, Encord Active for data curation and quality evaluation, and Encord Index for petabyte-scale dataset search and management, covering the full data lifecycle from collection to deployment. The platform acts as a universal data layer for production-grade Physical AI, addressing the infrastructure gap left by cloud-era tools focused on text and tabular data and emphasizing multimodal data and embodied AI. Its goal is to enable teams to build, evaluate, and deploy real-world AI systems more efficiently with scalable, reliable data tooling.

Company size
201-500
Company stage
Series C
Total funding
$107.1M
Headquarters
London, United Kingdom
Founded
2020

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