Lead, State Estimation & Autonomy Systems

Latitude AI LLC; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation packages

Health, dental, and vision insurance

401(k) with employer match

Paid parental leave

Unlimited vacation

Wellness stipend

Adoption/Surrogacy support program

Job summary

Latitude AI LLC is seeking a Senior Software Engineering Manager to lead a State Estimation team focused on multi-object tracking and road property estimation. You will guide ML model development, collaborate with robotics and ML teams, and drive production deployments across Ford autonomous driving projects.

The role requires deep expertise in Python/C++, experience with ML CV frameworks, and a track record of delivering end-to-end systems that operate in real-world scenarios.

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field with 10+ years of relevant experience, Master's 8+ years, or PhD 5+ years.
• Experience developing and shipping learned multi-object tracking systems.
• Experience with classical state estimation methods such as Kalman filters and particle filters.
• Proven track record of shipping ML-based CV solutions using PyTorch or similar.

Responsibilities

• Lead a team to deliver multi-object tracking and state estimation features for autonomy systems.
• Develop ML models in modular and end-to-end frameworks and stay current with literature.
• Collaborate with roboticists and ML engineers to deploy solutions into production and verify across systems.
• Contribute as a senior leader in next-gen autonomy development.

Skills

Python

C++

PyTorch

Education

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

Master's degree in related field

PhD in ML or related field

Tools

Kalman filters

Particle filters

Job description

Latitude AI LLC is seeking a Senior Software Engineering Manager to lead a State Estimation team focused on multi-object tracking and road property estimation. You will guide ML model development, collaborate with robotics and ML teams, and drive production deployments across Ford autonomous driving projects.

The role requires deep expertise in Python/C++, experience with ML CV frameworks, and a track record of delivering end-to-end systems that operate in real-world scenarios.