Senior Software Engineer - Jobs Platform

Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone. 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 making a real, positive impact on the driving experience for millions of people. 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: At Latitude, the Overwatch team builds the systems that run and manage large amounts of computing work across the organization. This work helps engineers train models, test software, and move data reliably at scale. The team owns the platforms that schedule and monitor long-running jobs and keep shared computing resources running efficiently. In addition, the team develops systems that deliver software and data to vehicles and collect logs and telemetry from real-world driving. What you’ll do: Build and improve systems that orchestrate, schedule, run, and monitor large numbers of ML jobs used across the company for training automated driving features Design reliable software that handles failures, retries, and high load while keeping results accurate and timely Build and maintain backend services and APIs that support job submission and reliable execution of long-running work Investigate production issues, identify root causes, and implement fixes that prevent repeat failures Review designs and code to ensure solutions are simple, reliable, and scalable over time Collaborate closely with infrastructure, machine learning and data science teams to ensure computing systems are reliable and being optimally used Build with scale and maintainability in mind, while rapidly iterating on new ideas 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) Experience in designing high-scale distributed systems that meet user requirements Prior experience building or operating large-scale job scheduling or workload orchestration platforms, such as container-based or batch computing systems used to manage shared compute resources Expertise in back-end languages (e.g., Kotlin, Java, Go, Python) and frameworks Experience designing and building distributed systems using modern backend patterns for reliability, coordination, and asynchronous processing At least 6+ years of experience in a related field where actively coding designing 80% of the time Comfort working in a fast-moving environment with evolving requirements, where ideas are tested quickly and real user impact guides decisions Nice to have: Exposure to performance tuning, cost optimization, or capacity planning for compute-intensive workloads Experience working on large-scale computing platforms that manage shared resources and competing workloads 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, and beverages available in all office locations Pre-tax spending accounts for healthcare and dependent care expenses Pre-tax commuter benefits Monthly wellness stipend Adoption/Surrogacy supp ... (truncated, view full listing at source)