Job description
About Origin Origin is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages.
Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision.
Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.
Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, and more.
About the Role We are hiring a Lead Platform Software Engineer to own the foundational systems our autonomous construction robots run on.
You will build and maintain the embedded Linux platform, networking stack, boot and orchestration sequences, and the CI/CD infrastructure that ships software to robots in the field.
This is a hands-on leadership role — you will lead a small platform team while remaining deeply technical and writing code daily.
High ownership and direct impact on robot reliability.
Responsibilities Build and maintain embedded Linux images using Buildroot / Yocto for robot compute platforms.
Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS —for robot-to-cloud and inter-robot communication.
Own CI/CD pipelines using ArgoCD , GitHub Actions , and containerized workflows to ship software to robots.
Manage Docker-based deployment and runtime environments on robot and cloud infrastruc ture.
Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
Establish and enforce best practices around Git workflows, branching strategies, and code review.
Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.
Gain experience in a dynamic startup environment at the forefront of robotics and AI innovation.
Contribute to the development of technology that will revolutionize the construction industry.
Work alongside a talented and passionate team committed to making a real-world impact.
Learn from experienced professionals and gain valuable skills in robotics software engineering.
Gain practical experience in a real-world engineering environment.
Contribute to a project with the potential to make a significant impact on the construction industry.
7 to 13 years of experience in systems / platform / embedded software engineering.
Proven experience leading a team (2+ engineers) while remaining hands-on — you’ve set technical direction, unblocked engineers, and shipped alongside them.
Strong C++ and Python skills.
Deep understanding of OS fundamentals — process management, memory, filesystems, kernel interfaces.
Hands-on experience with Linux networking — TCP/IP, HTTP, iptables, ARP, DHCP, DNS configuration and debugging .
Proficient in Linux system administration and bash scripting.
Strong Git skills — branching, rebasing, submodules, workflow design (this is non-negotiable).
Have deployed embedded Linux systems built with Buildroot or Yocto at scale (10+ devices in production).
Have built and deployed launch / boot-up systems on Linux for autonomous or automated systems — e.
g., industrial automation, satellites, or robots.
Have deployed projects with Docker on remote production systems — not just internal tooling or local dev environments.
Experience with CI/CD — ArgoCD, GitHub Actions , or equivalent.
Experience with AWS/Azure - Eg: setting up and working with EC2 / Lightsail / S3.
Nice to Have Experience with real-time systems (RT-PREEMPT, Xenomai, or similar).
Familiarity with BehaviorTree.
CPP (BT.CPP) or similar robot behavior frameworks.
Experience with ROS / ROS 2.
Exposure to robot fleet management or OTA update systems.
Experience with NVIDIA Jetson (Orin, Xavier, or equivalent edge compute platforms).
Familiarity with cloud infrastructure (AWS EC2, S3, Lambda).
This job post has been translated by AI and may contain minor differences or errors.
