Drimva

Latitude AI

Senior Software Engineering Manager - Multi-Object Tracking & State Estimation

$253K–$380K

Palo Alto, CA +4 · Remote · Manager · Full-time · Posted Aug 11, 2026

Location
Palo Alto, CA
Dearborn, Michigan, United States
Palo Alto, California, United States
Pittsburgh, PA, United States
Remote
Experience
10+ years with a bachelor’s degree, 8+ years with a master’s degree, or 5+ years with a PhD.
Education
Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field; master’s degree or PhD alternatives are stated.
Visa sponsorship
Candidates must be legally authorized to work in the United States on a permanent basis; visa sponsorship is available for this position.

About the job

Leads a team developing and deploying multi-object tracking and state-estimation systems for production autonomy and driver-assistance features.

What you'll do

  • Lead development of multi-object tracking, road-property estimation, pre-collision assist, and automatic emergency braking functionality.
  • Guide research, performance analysis, and development of ML models in modular and end-to-end frameworks.
  • Integrate and deploy solutions in production, analyze failures, and support verification, validation, and mass production.

What they ask for

  • Bachelor’s degree in a related field and 10+ years of relevant experience, master’s degree and 8+ years, or PhD and 5+ years.
  • Experience developing and shipping learned multi-object tracking systems and classical state-estimation methods.
  • Significant experience in Python and/or C++, computer vision, perception, and machine learning.
  • Track record shipping ML-based computer-vision solutions using PyTorch or similar (TensorFlow, JAX, etc.).

Nice to have

  • Ph.D. focused on machine learning, or equivalent experience.
  • Track record of shipping end-to-end computer vision systems.

Pay

$253,120 - $379,680 USD base salary

Tools

Python, C++, PyTorch, TensorFlow, JAX, Kalman filters, particle filters

AI focus

Develops machine-learning models for multi-object tracking, scene estimation, and computer vision within autonomy systems.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)