5 inventory jobs found

You will work in the design, development, and deployment of applications to automate and enhance financial inventory and costing processes within Tesla's manufacturing systems. In this role, you are expected to take ownership of developing critical applications while solving complex problems and closely collaborating with cross-functional teams. The Role Identify requirements and develop/build new tools/applications from scratch Seek to understand all aspects of the applications (business and technical) and effectively contribute to improve them Continue to learn and apply relevant software development practices, patterns, tools, and technologies Design and develop high quality, scalable, and distributed web application and/or backend services Design efficient/cohesive database schemas Create Jenkins-pipeline/GitHub-Actions and configure application for Kubernetes deployments Design easy-to-use web interfaces following Tesla design heuristics...

We are seeking a highly experienced Lead Staff Wireless Network Engineer to lead a team of wireless engineers responsible for the design, deployment, optimization, security, and ongoing support of wireless network infrastructure across our factories, offices, warehouses, and other facilities. The candidate should combine strong technical expertise in wireless technologies with proven people-management skills, project leadership, and the ability to balance operational reliability with strategic planning in diverse environments. The Role Lead, mentor, coach, and manage a team of wireless engineers, including performance management, career development, workload prioritization, hiring, and fostering a culture of technical excellence and continuous improvement Own the end-to-end wireless strategy and roadmap for all company facilities (factories, offices, warehouses, etc) aligning with business needs, capacity growth, and enterprise standards Oversee design, site...

The Enterprise Infrastructure SRE team is seeking a seasoned Sr. Site Reliability Engineer to own the reliability, automation, and observability of our data center and network infrastructure. This role bridges network operations and data center facility infrastructure-including bare-metal server reliability, power/cooling systems, and network fabric-with a relentless focus on uptime, scalability, and user experience. You will minimize manual toil through advanced automation, drive operational excellence through blameless postmortems, and proactively mitigate infrastructure risks. As a senior engineer, you will lead high-impact projects, mentor peers by example, and foster continuous improvement across the global SRE organization. The Role Enhance Telemetry Platforms: Scale observability, logging, and alerting systems using Grafana, Splunk, and Prometheus Build Correlated Dashboards: Design visualization tools that connect server health, network telemetry, and facility...

You will design and build the backbone of Tesla's network monitoring platform, the systems that collect, store, query, and act on telemetry from tens of thousands of network devices across global sites. Metrics pipelines, alerting, device inventory, config management, and the APIs that feed both dashboards and our AI diagnostic system; you own all of it. This platform runs 24/7. When it's down, infastructure is running blind . You'll own the architecture, the uptime, and the scaling challenges that come with it. You will work closely with network engineering to understand operational needs, and with the AI platform team to ensure monitoring data is structured and accessible for intelligent diagnostics. The Role Build metrics collection pipelines that pull data from thousands of devices: polling, streaming, APIs and land it in time series and log storage Own the device inventory and topology system. Discovery, reconciliation, config tracking, change detection, kept...

As a member of the Inference Infrastructure team, you will own the systems that power AI model development, validation, and deployment across custom AI hardware at scale. Your work sits at the intersection of large-scale distributed infrastructure and cutting-edge AI hardware - building the platform that Compiler, AI, and Optimus teams depend on to develop & validate models on next-generation chips. This is not a supporting role; from cluster orchestration & hardware fleet management to inference pipelines & developer tooling, you will design and own foundational systems that directly determine how fast the org can move from a trained model to a validated, deployed artifact. The Role Own & scale the AI inference cluster - the physical and software platform that runs AI workloads on custom AI hardware across thousands of boards Build & improve job scheduling, hardware onboarding, and cluster self-healing systems that keep the fleet running at 95%+ uptime Design &...