Senior Software Engineer - Scalable Machine Learning

Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. The Senior Software Engineer will design and implement cloud services for data ingest and distributed training, while collaborating with teams to ensure high-quality software delivery.

Responsibilities:

• Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
• Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
• Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
• Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
• Mentor junior engineers and provide technical guidance to elevate the team's software development standards

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 track record of successfully delivering complex software projects from conception to production
• Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
• Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
• Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
• Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
• Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
• Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
• Familiarity with safety-critical software development principles in automotive or robotics domains
• Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy