4 часа назад
Senior DevOps Engineer (Robotics)
100 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior DevOps Engineer (Robotics): Building and scaling the infrastructure behind robotics development, including Bazel build systems, CI/CD pipelines, and software- and hardware-in-the-loop testing with an accent on cross-platform toolchains and reliable deployment infrastructure. Focus on designing ARM/aarch64 embedded Linux toolchains, managing cloud and on-premise systems for model training and simulation, and solving infrastructure bottlenecks across ML, robotics software, and hardware teams.
Location: San Mateo, United States
Base salary: $100,000–$300,000 USD per year
Company
is developing general-purpose robotic intelligence that adapts to unseen scenarios through data-driven machine learning.
What you will do
- Own and scale Bazel/Skylark build infrastructure, including custom rules, toolchains, and remote caching for a multi-language codebase.
- Build and maintain CI/CD pipelines for automated software- and hardware-in-the-loop testing using Jenkins or an equivalent platform.
- Develop cross-compilation toolchains and system library packages for ARM/aarch64 embedded Linux platforms.
- Manage AWS, GCP, and Azure cloud infrastructure alongside on-premise systems supporting model training, simulation, and deployment.
- Maintain Terraform and Ansible infrastructure-as-code and improve developer environment tooling.
- Collaborate with ML, robotics software, and hardware engineers to resolve infrastructure bottlenecks and define tooling roadmaps.
Requirements
- 5+ years of experience in DevOps, infrastructure engineering, or build/release engineering.
- Hands-on experience owning a Bazel/Skylark build system from scratch, including custom rules, platforms, and toolchain configuration.
- Experience packaging system libraries for cross-compilation to ARM/aarch64 embedded Linux platforms.
- Experience building automated SIL/HIL testing pipelines for robotics or embedded systems.
- Strong Python and Bash scripting skills, with solid knowledge of Linux internals, Docker, and cross-compilation.
- BS, MS, or higher in Computer Science, Engineering, or a related field, or equivalent practical experience.
Culture & Benefits
- Work on foundational infrastructure for large-scale robotics and machine learning development.
- Collaborate directly with ML, robotics software, and hardware engineers.
- Join a quickly growing team with varied experience levels and backgrounds.
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