Job Opportunities API

Latitude AI ( lat.ai ) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on Ford’s all-new Universal Electric Vehicle in 2027.  When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: You will join a high-energy team responsible for building and deploying the global infrastructure behind our corporate and production systems. This role centers on adopting new technologies to expand automation and orchestration across our corporate IT environment. You will draw on your experience with compute, storage, and SaaS-based tools to deploy and manage system infrastructure at scale. What you’ll do:  Support and scale a rapidly expanding global infrastructure Operate mission-critical systems and service alongside a strong technical team Maintain periodic on-site presence at Latitude’s data centers and travel as needed to support physical infrastructure Deliver complex projects end to end, driving issues to resolution autonomously with excellent troubleshooting skills Partner cross-functionally with software, hardware, and network engineering teams – understanding their goals and delivering the tools and visualizations they need to make data-driven decisions What you'll need to succeed: Bachelor's degree in Information Technology, Computer Science or related field and 4+ years of relevant experience or Master's degree and 2+ years of relevant experience Experience with system engineering in an enterprise-level, highly integrated, complex IT environment Proficiency scripting and automating with Python, Bash, and/or Powershell Experience with Git-based version control and CI/CD pipelines Experience with monitoring and observability tooling (e.g., LogicMonitor, Prometheus, Grafana) Experience with public cloud platforms (e.g., AWS, GCP, Azure) Familiarity with NFS, Fiber Channel connected storage and networking concepts Experience with storage administration/management (VAST) Experience configuring server automation and configuration management tools (ex. Ansible, Terraform) Experience with container technology (Docker, Kubernetes) Knowledgeable of DNS and IPAM (Infoblox)  Identity management (Microsoft Entra, OpenLDAP, AD) Experience with backup and recovery (Veeam) Knowledge of Linux/Unix systems design, development, maintenance techniques, and processes Experience with administration of, and workflow enhancement/building with, project tracking software (Atlassian Jira) Excellent interpersonal skills, with a track record of working across Engineering, Program Management, Operations, and Senior Leadership Self-directed, with effective prioritization and time management Comfortable in a fast paced, high-output environment with shifting priorities and multiple concurrent projects Strong documentation skills and a genuine willingness to learn new technologies Experience with root cause analysis and error correction Ability to work in a fast paced high output environment with changing priorities and multiple projects Excellent documentation skills required A willingness and ability to learn and internalize new technologies Nice to have: 7+ years supporting enterprise-level systems infrastructure High-Performance Computing (HPC) experienc