Platform Engineering Apprentice - Linux (Internship)

What You'll Do

Help build and debug robot boot-up sequences and service orchestration, learning how to make system bring-up reliable and deterministic

Configure and troubleshoot Linux networking (TCP/IP, DHCP, DNS, iptables) for robot-to-cloud and inter-robot

communication, under the guidance of senior engineers.

Build, run, and maintain Docker containers for robot and cloud deployments

Write bash and Python scripts for fleet diagnostics, log collection, and routine system tasks

Work with the robotics, perception, and application teams to debug integration issues on real hardware

Follow team Git workflows and participate actively in code reviews, both giving and receiving feedback

Document what you build and learn so the rest of the team benefits

Requirements

All candidates must show solid, hands-on competency in every item below. Expect each one to be tested in the interview.

0-1 years of experience, with at least one internship or :6 months of hands-on work experience in software or systems engineering (full-time roles, internships, or research lab work all count)

Linux systems programming in C, including file I/O (read, write, seek, mmap), multi-threading (pthreads, mutexes, condition variables), and socket programming (TCP/UDP, select/poll/epoll)

C++ (C++14/17), including OOP, STL containers and algorithms, RAII, and smart pointers

Networking fundamentals: TCP vs. UDP, ARP, DHCP, DNS, IP addressing and subnetting, and how to debug connectivity with tools like ip, ping, ss, tcpdump, and iptables

Docker: writing Dockerfiles, using docker-compose, managing images and volumes, and debugging running containers

Core data structures and algorithms (stack, queue, heap, linked list, hash map) and the ability to reason about time and space complexity

Python and Bash scripting for automation and diagnostics

Git from the command line: branching, merging, rebasing, and resolving conflicts

Strong comfort on the Linux command line: processes, systemd services, permissions, and logs

Ability to learn independently by reading man pages, documentation, datasheets, and RFCs

No degree required. We evaluate on demonstrated skill, projects, and work experience

Good to Have

Exposure to ROS 2 (pub/sub, services, actions, launch files) or DDS

Familiarity with CMake (targets, find_package, CTest)

Understanding of P2P vs. centralized messaging (e.g. DDS vs. MQTT)

Network configuration on routers and switches, including VLANs

Basic knowledge of SQL or NoSQL databases

Basics of network security: checksums and hashes (CRC, SHA), public-key encryption, and digital signatures

Projects on embedded hardware (Jetson, Raspberry Pi) or self-hosted servers and home networks

Open-source contributions or a GitHub profile showing systems-level work

What You'll Get

Close mentorship from senior platform and robotics engineers, with regular code reviews and 1:1s

Real ownership of production systems running on robots deployed on live construction sites

Broad exposure across embedded Linux, networking, middleware, and cloud infrastructure

A fast-paced startup environment at the forefront of robotics and AI

A clear path to a full-time Platform Engineer role based on performance