Senior Autonomy Software Engineer - Real-Time ML & Robotics

Latitude AI; Marine City (MI); On-site; USD 179,000 - 269,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Health Savings Account with employer-m

401(k) with immediate vesting

Life insurance

Parental leave

Unlimited vacation

15 paid holidays

Pre-tax commuter benefits

Wellness stipend

Professional development reimbursement

Employee assistance program

Discounts and perks

Job summary

Latitude AI is advancing Ford’s autonomy roadmap with an in-house ADAS platform; we’re building an autonomous driving system that understands, predicts, and responds to complex traffic scenarios in real time. You’ll contribute to model inference, latency optimization, and scalable software architecture while collaborating with teams across ML, robotics, and safety engineering.

You will work on production-quality code, optimize modern ML models for constrained hardware, and help deploy

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or related field with 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

Responsibilities

• 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

Skills

C++

Python

Communication

Education

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or related field

Master's degree or PhD preferred

Tools

PyTorch

ONNX

Job description

Latitude AI is advancing Ford’s autonomy roadmap with an in-house ADAS platform; we’re building an autonomous driving system that understands, predicts, and responds to complex traffic scenarios in real time. You’ll contribute to model inference, latency optimization, and scalable software architecture while collaborating with teams across ML, robotics, and safety engineering.

You will work on production-quality code, optimize modern ML models for constrained hardware, and help deploy