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 Own
CI/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
Requirements
- 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
Benefits
- 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
