Senior Software Engineer - ML Integration

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 Latitude AI Autonomy Behavior team is responsible for designing and building systems that allow an autonomous vehicle to understand the current scene around it, predict how the scene will evolve in the future and make decisions on how to respond. The team focuses on deploying SOTA algorithms in limited compute environments, and writing efficient software architectures that take advantage of hardware optimizations. You will play a key role in improving the quality and safety of the autonomy system through the optimization and integration of both modern (transformer, etc…) and classical ML (Random Forest, SVM, etc..) models. Our models utilize time series data to solve regression, generation, and classification tasks. Improving model inference and latency on our target hardware allows us to deploy deeper and more powerful models and improve the vehicle’s ability to reason in complex situations. What you’ll do: Integrate and optimize algorithms and models for predicting the future behavior of other traffic participants in real time and planning a proper response Measure the statistical properties and quality of predictions and plans Build a system that safely handles nominal and out-of-distribution driving events Evaluate and verify the system's performance on real-world and simulated data Improve and deliver reliable software through continuous integration, automated testing and code reviews Collaborate across different teams to jointly achieve objectives in improving system performance Monitor system performance and ensure designs and implementation stay within resource constraints 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) Fluency in modern C++ including good software design skills and experience with Python Familiarity with PyTorch, ONNX and deployment/optimization of models is desired Knowledgeable in areas pertaining to probabilistic inference, probability theory, statistics Application of Machine Learning in classification, regression, time series forecasting Willingness to dive into anything, but know when to ask for cross team collaboration Industry experience writing production-quality, performance-critical code, and maintaining large codebases is desired Strong written and verbal communication skills are required 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 support program Backup child and elder care program Profe ... (truncated, view full listing at source)