Software Engineer, Beacon AI

• This role is ideal for someone who thrives in a startup environment, takes ownership, and is excited to bring ideas from 0 to 1
• Infrastructure Experience: Experience in cloud infrastructure, DevOps, or Site Reliability Engineering roles, ideally with significant exposure to edge or IoT systems
• Hands-on Technical Expertise: Experience with AWS services (Greengrass, IoT Core), containerized deployments (e.g., Docker), and Infrastructure as Code tools like AWS CDK, Terraform, or Kubernetes
• Edge & Device Focus: Experience provisioning, securing, and deploying software to edge compute devices (Jetson, Raspberry Pi, etc.) in production environments
• Secure Communication & System Design: Understanding of edge-to-cloud messaging protocols like MQTT and encrypted data exchange between devices and cloud systems
• Ownership & Initiative: Thrives in fast-paced, ambiguous environments with a strong bias toward action. Capable of driving large infrastructure initiatives with minimal supervision
• Collaborative Leadership: Effective at working across disciplines (hardware, embedded, software) and mentoring junior engineers to raise the technical bar
• Leveling Breakdown:
• Software Engineer (3–5 yrs)
• 3–5 yrs cloud/infra; hands-on AWS IoT, Docker, IaC, MQTT/TLS
• Senior/Staff Software Engineer(6+ yrs):
• 6+ yrs cloud/IoT; deep expertise in distributed systems, OTA, IaC
• This is a hybrid role and requires working from our San Carlos, CA office at least three days a week, with the option to work remotely the remaining days

Desirable

• We are seeking Cloud IoT Engineers at multiple seniority levels to design, implement, and optimize our cloud and edge infrastructure
• This pivotal role combines deep cloud expertise with edge computing strategy to ensure reliable, scalable, and secure deployment of applications to connected devices in the field
• You’ll work across cloud and device environments, own key product infrastructure, and collaborate closely with embedded systems engineers
• Cloud & Edge Infrastructure Leadership: Design, implement, and maintain infrastructure that enables secure cloud-to-edge deployments using tools like AWS Greengrass and other edge platforms. Connect field devices to cloud systems reliably and securely
• Fleet & Device Management: Build scalable systems for provisioning, registration, and ongoing fleet management of Linux-based edge devices. Implement secure bootstrapping workflows and manage device lifecycle operations
• Deployment & CI/CD Ownership: Build and manage CI/CD pipelines for both cloud infrastructure and field devices, including strategies for OTA updates, rollbacks, and continuous monitoring. Ensure high system reliability and uptime across environments
• Performance & Cost Optimization: Optimize infrastructure for cost, observability, and performance—especially in resource-constrained edge environments
• Monitoring & Incident Response: Develop infrastructure monitoring tools and contribute to a robust incident response strategy for IoT and cloud systems
• Cross-functional Collaboration: Work closely with embedded systems engineers to integrate edge applications with cloud services, ensuring seamless interoperability and data flow
• Leveling Breakdown:
• Software Engineer (3–5 yrs)
• Owns subsystems, delivers production features
• Builds device provisioning, OTA updates, observability
• Senior/Staff Software Engineer(6+ yrs)
• Leads architecture + strategy for IoT/edge
• Mentors, sets best practices
• This is a hybrid role and requires working from our San Carlos, CA office at least three days a week, with the option to work remotely the remaining days