8 часов назад
Mid-Level Software Engineer (Cloud Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Mid-Level Software Engineer (Cloud Infrastructure): Building scalable backend services, APIs, and cloud-native infrastructure for simulation and collaboration platforms with an accent on workspace functionality, reliability, performance, and AI-enabled engineering workflows. Focus on developing distributed systems, improving deployment automation, and supporting GPU-accelerated scientific computing and interactive engineering experiences.
Location: On-site in Madison, Wisconsin, United States, or Watertown, Massachusetts, United States
Company
is a technology startup developing ultra-fast simulation technology for aerospace, automotive, energy, semiconductors, quantum computing, and other advanced engineering applications.
What you will do
- Build and maintain backend services, APIs, and platform infrastructure.
- Develop workspace and workbench features for engineering and collaborative workflows.
- Improve scalability, reliability, and performance across cloud systems.
- Support AI-related infrastructure and intelligent tooling initiatives.
- Enhance developer tooling, automation, and deployment systems.
- Contribute to visualization and interactive engineering experiences while collaborating with software, infrastructure, and simulation teams.
Requirements
- 3–6 years of professional software engineering experience.
- Strong programming skills in one or more of Python, C++, Rust, Go, Java, or JavaScript.
- Experience building backend systems, APIs, or distributed services.
- Familiarity with Linux-based development environments and Git workflows.
- Ability to independently drive technical projects and collaborate across teams.
- Degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field.
Nice to have
- Experience with AWS, GCP, or Azure cloud infrastructure.
- Familiarity with Docker, Kubernetes, or containerized environments.
- Exposure to AI infrastructure, ML systems, or data engineering workflows.
- Experience with performance optimization or distributed computing systems.
- Interest in scientific computing, GPU acceleration, or simulation platforms.
Culture & Benefits
- Significant ownership in a fast-growing, early-stage startup.
- Access to experienced engineers and world-class mentors.
- Competitive salary and meaningful equity.
- 401(k) contribution and health insurance.
- Opportunity to work on technically challenging products with real-world engineering applications.
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