Who We are
LuminX is a startup transforming warehouse operations through advanced AI and computer vision. Our goal is to redefine how businesses manage inventory and logistics, driving unprecedented efficiency and precision. Supported by top-tier investors, we’re building an exceptional team to turn our ambitious vision into reality.
We are looking for engineers excited by the challenge of building and scaling robust cloud and edge infrastructure from the ground up. You will be pivotal in designing, implementing, and managing the systems that power our large-scale image processing, MLOps pipeline, and fleet of edge AI devices. You will leverage your expertise in both software development and infrastructure engineering to lay the foundation for critical services our customers depend on to make their workplaces more efficient.
What You'll Do
- Design, build, and operate scalable and reliable cloud infrastructure on AWS, leveraging services like EKS, RDS, S3, IAM, and more.
- Develop, manage, and advocate for infrastructure-as-code (IaC) practices using Terraform.
- Implement and champion DevOps best practices for CI/CD, monitoring, alerting, and incident response across our services.
- Architect and implement systems capable of processing real-time video streams and large datasets efficiently and at scale.
- Collaborate on the deployment, scaling, and operational management of machine learning models within our MLOps framework.
- Develop strategies and implement solutions for deploying, managing, monitoring, and updating AI applications on edge devices, specifically leveraging the NVIDIA Jetson platform.
- Ensure the security, reliability, availability, and performance of our core platform and customer-facing services.
- Implement and utilize observability tools (e.g., Grafana, Prometheus, CloudWatch, Loki) for comprehensive system health monitoring and rapid troubleshooting.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
- 5+ years of professional experience in Software Engineering, with a focus on Cloud Infrastructure, DevOps, or Site Reliability Engineering (SRE).
- Strong proficiency with container orchestration using Kubernetes (K8s) and its ecosystem (hands-on experience with AWS EKS is highly desirable).
- Demonstrable experience with core AWS services (e.g., IAM, S3, RDS, EC2, VPC, EKS).
- Proven experience building and managing infrastructure using IaC tools like Terraform.
- Solid understanding of distributed systems principles and practical experience building/scaling high-availability services.
- Experience deploying and managing software applications on edge computing platforms, with specific experience working with the NVIDIA Jetson ecosystem
- Familiarity with standard observability tools and practices (e.g., metrics with Prometheus/Grafana, logging with ELK/Loki, tracing).
Why Join Us
- Shape the Future: Play a foundational role in building the core infrastructure of a rapidly growing AI startup tackling major challenges in a massive industry.
- Cutting-Edge Technology: Work daily with advanced AI, computer vision, cloud-native technologies, and state-of-the-art edge computing hardware like NVIDIA Jetson.
- Collaborative Culture: Join a passionate, experienced, and tight-knit team hailing from leading tech companies and research institutions.
- Competitive Rewards: Receive a compelling salary, significant equity package, and comprehensive health benefits.
- Growth Opportunity: Learn and grow professionally as you help scale a company poised for significant impact and success.