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: As a Site Reliability Engineer on the team, you will be responsible for helping to build and run these mission critical systems.  Through the implementation of monitoring and automation, you will constantly ensure the health, reliability, scalability, and performance of the platforms. The Site Reliability team interacts with engineering teams including ingest/data processing, mapping, labeling, triage, machine learning (detection, prediction, tracking), motion planning/control, offline simulation, and release/deployment teams to provide uniform service observability and incident response. What you’ll do:  Build monitoring to ensure our platform is healthy and its reliability measurable Build alerting and a set of runbooks to enable faster detection and remediation of platform issues Debug complex issues that may combine multiple components of the stack and ensure proper fixes are implemented to prevent these issues from happening again Participate in an on-call rotation and culture of continuous improvement through blameless postmortems Design and implement components of the platform to enable features that make the work of our customers possible, simpler and more efficient Build Kubernetes controllers to automate operations What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) Fundamental understanding of Linux operating system internals, TCP/IP networking, and storage subsystems Hands on development in Go or Python to create robust software that can run reliably in production Strong experience scaling and securing services in the cloud (AWS, GCP) or cloud native environments Experience using infrastructure-as-code principles to automate the creation of infrastructure resources (e.g. Terraform, CloudFormation) Experience authoring and maintaining Kubernetes Controllers in Go Experience running Kubernetes and related core components in a large-scale, production environment Experience with metrics (e.g. Prometheus), logging (e.g. Elasticsearch, Loki) and tracing (e.g. Jaeger, Tempo) systems Understanding of engineering design limitations and ability to provide guidance to teams to scale their services to achieve desired performance within budget A focus on increasing service reliability through defining and adhering to SLOs Strong communication skills and the ability to work effectively in a diverse and distributed team What we offer you: Competitive compensation packages High-quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, an