About the role

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are looking for a DevOps Engineer to design, build, and maintain the infrastructure that powers Skild AI’s robotics development at scale. You will own the systems that let our engineering teams move fast — from build tooling and CI/CD pipelines to cross-platform hardware-in-the-loop testing infrastructure. This is a foundational role: you will be setting up and scaling critical systems in a company that is growing quickly, working directly alongside machine learning, robotics software, and hardware engineers to keep our development cycles fast and our deployments reliable.

Responsibilities

Own and scale Bazel/Skylark build infrastructure from scratch, including custom rules, toolchains, and remote caching across a multi-language codebase.
Build and maintain CI/CD pipelines for automated software and hardware-in-the-loop (SIL/HIL) testing using Jenkins or equivalent.
Develop cross-compilation toolchains and system library packages targeting ARM/aarch64 embedded Linux platforms and integrate them into the build system.
Manage cloud and on-premise infrastructure (AWS/GCP/Azure) supporting model training, simulation, and deployment.
Maintain infrastructure-as-code (Terraform, Ansible) and own developer environment tooling to accelerate engineering iteration.
Collaborate with ML, robotics software, and hardware engineers to resolve infrastructure bottlenecks and define tooling roadmaps.

Preferred Qualifications

BS, MS, or higher in Computer Science, Engineering, or a related field, or equivalent practical experience.
5+ years in DevOps, infrastructure engineering, or build/release engineering.
Hands-on experience owning a Bazel/Skylark build system from scratch at a 100–500 person company, including custom rules, platforms, and toolchain configuration.
Experience packaging system libraries for cross-compilation to ARM/aarch64 embedded Linux platforms.
Proven track record building automated SIL/HIL test pipelines (Jenkins or equivalent) for robotics or embedded systems.
Strong Python and Bash scripting; solid Linux internals, Docker, and cross-compilation knowledge.

Base Salary Range

$100,000—$300,000 USD

Skills & Tags

python aws gcp azure docker machine learning ai ios

Aplyr's read

Skild AI is at the forefront of integrating AI into recruitment, attracting diverse roles from robotics to software engineering, ideal for tech enthusiasts.
Synthesized from recent postings & public sources

What's promising

•Skild AI offers innovative AI solutions for streamlining recruitment processes.
•The company hires for a wide range of technical and creative roles.
•Skild AI is involved in cutting-edge technology, especially in AI and robotics.

What to watch

•The company may face competition from established HR tech giants.
•Limited public information about its financial stability and growth metrics.
•Potential job seekers might find the company's niche focus limiting.

Why Skild AI

•Skild AI specializes in AI-driven talent assessment, setting it apart in HR tech.
•The company integrates robotics into its recruitment solutions.
•Skild AI's diverse role offerings reflect its commitment to multidisciplinary innovation.

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