Job description
About Origin Origin (previously 10xConstruction) 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, etc.
About the Role We're hiring a DevOps Engineer (3–5 years) to own the infrastructure that runs our robots.
This is robotics infra, not generic SaaS — the pipeline from autonomy code to a Jetson on a real construction site, the network that keeps a robot reachable through a contractor's flaky LTE, and the observability that tells us a manipulator is overheating before a customer notices.
You'll own CI/CD across cloud and edge, design fleet networking and OTA updates, harden our AWS/GCP footprint, and build the observability our autonomy and platform teams depend on.
High ownership, low ceremony — you'll be one of the people the whole company leans on when something needs to ship, scale, or stop falling over.
What You’ll OwnCI/CD for Robotics Workloads Architect CI/CD (GitHub Actions / GitLab CI) across two very different targets: x86 cloud services and ARM64/Jetson edge devices running our autonomy stack.
Robot Fleet Operations Design the OTA pipeline: atomic updates, signed images, automatic rollback on health-check failure, resilience to partial transfers over construction-site networks.
Linux, Jetson, and Edge Systems Tune systemd, supervisord, and process priorities so the autonomy stack, sensor drivers, and supporting services share a Jetson under tight CPU, GPU, RAM, and thermal budgets.
Containers & Orchestration Own Docker Compose stacks for local dev, simulation rigs, and on-robot deployments, with selective module mounting and resource isolation between containers sharing a Jetson.
Cloud Infrastructure & IaC Own significant portions of our AWS/GCP footprint — compute, storage for high-throughput sensor data, networking, IAM, KMS, secrets.
Right-size aggressively.
GPU instances for simulation, spot capacity for training, lifecycle policies for log data.
Make spend legible and kill what isn’t pulling its weight.
Observability for Robots and Cloud Own the observability stack end-to-end: metrics (Prometheus, VictoriaMetrics, vmagent), logs, traces, and alerting.
Build Grafana dashboards engineers actually open — per-module CPU / RAM / GPU on every robot, fleet uptime, OTA success rate, SLO burn.
Write custom exporters where off-the-shelf tools don’t fit — Jetson tegrastats, ROS 2 topic health, sensor frame-rate telemetry.
On-device budgets are tight; efficient Go or Rust beats Python here.
Tooling, Scripting & Mentorship Write Python and Bash for the things that quietly run the company: log rotation, device provisioning, backups, sensor calibration sync.
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.
3–5 years in DevOps, SRE, Platform, or Infrastructure Engineering — ideally with some exposure to hardware, embedded, or robotics.
Deep comfort on the Linux command line: systemd, the networking stack, and performance debugging (perf, strace, bpftrace a plus).
Strong production experience with at least one CI/CD platform (GitHub Actions, GitLab CI, Jenkins), including self-hosted runners at scale.
Hands-on with Dockerfiles, multi-arch builds, and debugging container runtime issues.
Solid networking fundamentals — TCP/UDP, DNS, firewalls, VPNs, NAT traversal.
You can read a tcpdump capture without panicking.
Production AWS or GCP experience — networks, IAM, and cost-aware architecture, not just clicking through consoles.
Strong Python and Bash.
Comfortable owning a small Go or Rust tool when it’s the right hammer.
Production experience with Prometheus / Grafana (or equivalent) and an IaC tool like Terraform plus Ansible.
Ownership instincts and comfort with startup pace — wide scope, few guardrails, real hardware in the real world.
Bonus Points Production experience with NVIDIA Jetson or other ARM SBCs at fleet scale.
Familiarity with ROS 2 / DDS, ROS bag pipelines, or robotics middleware.
Experience designing or operating OTA update systems (Mender, RAUC, balena, Foundries.
io, or custom).
Background in autonomous vehicles, drones, industrial robotics, or any hardware-heavy startup.
Production Kubernetes (operators, GitOps with ArgoCD / Flux) or ML infra (GPU scheduling, simulation farms, dataset versioning).
Security background — threat modelling, Vault, or compliance work.
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