- Robot type
- Autonomous Vehicle
- Location
- DetroitMichiganUSA
- Job type
- Software
- Posted
- Sep 16, 2026
- Salary
- $179,200–$268,800 a year
Senior Software Engineer - Test Infrastructure
Job description
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 the all-new Ford Fathom 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…
Job responsibilities
- 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
Job requirements
- 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 scaling up full-stack applications running within 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
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