9 часов назад
Backend and Infrastructure Engineer (AI)
165 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend and Infrastructure Engineer (AI) (Python/C++/Terraform): Building and operating backend services and cloud infrastructure for a production-scale physics simulation and inference platform with an accent on reproducible builds, automated pipelines, and scalable deployment. Focus on provisioning infrastructure with Terraform, hardening CI/CD and build systems, and taking research prototypes through production for billion-voxel workloads.
Location: Palo Alto, United States; hybrid
Salary: $165K–$180K per year
Company
is an early-stage AI startup building operator intelligence infrastructure for semiconductor and hardware companies, including production-scale physics simulation and inference systems.
What you will do
- Design, build, and operate backend services and infrastructure for the simulation and inference platform.
- Own Terraform infrastructure-as-code across cloud environments.
- Build and harden CI/CD pipelines with Jenkins or an equivalent system.
- Maintain build systems for large Python and C++ codebases using CMake and pip/uv.
- Take early research prototypes through iterative hardening and customer-ready production deployment.
- Partner with physicists, AI researchers, software engineers, and computational geometry experts to turn research into dependable systems.
Requirements
- 8+ years of professional software engineering experience focused on backend and infrastructure.
- Hands-on Terraform experience and production experience with a major cloud platform such as GCP, AWS, or Azure.
- Experience building and maintaining Jenkins or equivalent CI/CD pipelines.
- Proficiency in Python and working familiarity with C++.
- Comfort with CMake, Python packaging via pip/uv, and large multi-language codebases.
- Experience contributing to a production data-processing or platform system, with strong software engineering, regression testing, and validation practices.
Nice to have
- Experience taking an early-stage prototype to production at a startup or national lab.
- Experience with ML or scientific-computing workloads, including PyTorch, NumPy, CUDA, or GPU infrastructure.
- Experience with Docker, Kubernetes, observability tooling, frontend development, or 3D rendering and visualization.
Culture & Benefits
- Work in a small, accessible team with significant ownership and autonomy.
- Architect foundational platform components alongside physicists, AI researchers, software engineers, and computational geometry experts.
- Contribute to greenfield development and scale infrastructure supporting Tier-1 semiconductor and hardware customers.
- Help accelerate physics-based design validation from hours to seconds while maintaining solver-grade accuracy.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
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