Senior Software Engineer - Test Infrastructure

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: The Bench Infrastructure team is responsible for maintaining critical hardware test infrastructure services at Latitude. This infrastructure supports high-velocity code validation for hundreds of developers, on custom hardware for our next-generation automotive autonomy solution. We are seeking a talented Senior Software Engineer to join the team and ensure the test infrastructure is ready to support a significantly larger scale. What you’ll do: Design and implement software solutions to ensure the usability and supportability of hardware-in-the-loop test execution services Deliver streamlined tools which minimize friction for software engineers to build, test, and debug autonomy software Identify and resolve stability problems and security vulnerabilities across the entire stack, ensuring the platform remains resilient and secure as the hardware test infrastructure grows Leverage performance metrics to pinpoint and remove inefficiencies in test infrastructure logic and complex test runtimes Enhance the performance and reliability of test execution, ensuring scheduling logic balances both system throughput and urgent job prioritization Maintain performance analysis test logic, ensuring reliable execution and data-driven validation of software performance across diverse hardware configurations Act as a technical bridge between Autonomy Software Engineering, IT, and Operations to ensure cross-functional pain points are resolved with scalable technical solutions 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) Strong communication, problem solving, task prioritization and teamwork skills Proficiency with Python programming language, navigating a large codebase, and ability to learn other languages or technologies as needed Proven track record of designing, developing, and deploying full-stack applications at scale a Kubernetes-orchestrated production environment Ability to diagnose and resolve intricate problems in distributed systems and mitigate technical debt Experience with Linux systems, networking, distributed filesystems, and databases using SQL and ORMs Nice to have: Experience with full stack technologies: React, TypeScript, Flask, Postgres, ORMs Experience with DevOps technologies: AWS, Kubernetes, Docker, Terraform, Ansible Experience with Data Warehousing and Visualization: BigQuery, Superset Experience building validation tools for heterogeneous hardware environments, including Linux-based edge devices, robotics, or ML-driven applications Experience with C++ Bazel 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, ... (truncated, view full listing at source)