What are the responsibilities and job description for the Technical Staff Member - Infrastructure position at Acceler8 Talent?
Technical Staff Member - Infrastructure
Introduction
Join us as a Technical Staff Member - Infrastructure and contribute to building an intelligent, real-time system aimed at enhancing safety, security, and operational efficiency. As an early engineer, you will be instrumental in developing foundational infrastructure, ensuring reliability, scalability, and performance in an evolving environment. If you thrive in hands-on development, iterative design, and close collaboration with a talented team, this role offers a remarkable opportunity to make a significant technical impact.
About the Company
Backed by notable industry leaders from Samsara, Verkada, and Sequoia Capital, our seed-stage startup is pioneering intelligent hardware and software solutions for real-time situational awareness. With strong roots in Stanford engineering, our team is dedicated to deploying state-of-the-art AI and cloud infrastructure to provide a seamless, responsive user experience. The environment is fast-paced and highly technical, providing an opportunity to develop innovative solutions in the field.
About the Role
As a Technical Staff Member - Infrastructure , you will be tasked with designing and deploying backend systems that support large-scale AI applications. Responsibilities will include optimizing distributed computing workflows, maintaining high-availability services, and ensuring efficient data storage and retrieval. You will collaborate directly with machine learning engineers, software developers, and product teams to create infrastructure that facilitates rapid iteration and deployment of new capabilities. The ideal candidate will have experience in cloud environments, scalable architectures, and mentoring junior engineers on best practices.
What We Offer You
- Attractive compensation package, including equity in a high-growth startup
- A collaborative and technical environment that promotes autonomy and ownership
- The chance to engage with complex AI and machine learning infrastructure
- Access to cutting-edge hardware and software development tools
- A strong engineering culture with opportunities for mentorship and leadership
- First-hand exposure to real-world AI deployments at scale
Key Responsibilities
Keywords
Cloud computing, Distributed systems, Kubernetes, K8s, Docker, Python, AWS, GCP, PostgreSQL, Scalable Infrastructure, High-Performance Systems
