Senior Deep Learning Engineer (Navigation) - Remote

Overview

Outrider is automating distribution yards using electric, self-driving trucks. Our system replaces hazardous, repetitive tasks to improve safety, efficiency, and sustainability in freight operations. Founded in 2018, we are a private company backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our autonomous systems are already deployed with Fortune 200 customers. Learn more at www.outrider.ai.

At Outrider, you’ll help build and deploy cutting-edge software that powers the next generation of autonomous freight systems. Your work will have direct, real-world impact—improving safety, precision, and sustainability across the global supply chain. You'll collaborate with top engineers across autonomy, robotics, and infrastructure to build reliable, scalable systems that keep goods moving.

In Short

• Lead the development of the ML stack for navigation for autonomous trucks.
• Create and deploy deep learning models for complex environments.
• Collaborate with teams in Autonomy, data, ML, and integration.
• Develop and train models for path planning and scene understanding.
• Integrate ML models into production-vehicle systems.
• Define and manage datasets for various operational conditions.
• Drive rapid iteration of dataset generation and model training.
• Maintain high software engineering standards with modular code.
• Mentor engineers and foster a high-performance culture.
• Work in a highly demanding domain with custom electric vehicles.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field.
• 4+ years of experience in developing and deploying deep learning models.
• Proficiency with ML/DL frameworks like PyTorch, TensorFlow, NumPy.
• Understanding of ML model design and evaluation.
• Strong communication skills for cross-functional collaboration.

Benefits

• Competitive Salary Package.
• Equity package based on experience and skills.
• Fully remote with opportunities to travel to Denver headquarters.
• Home office stipend up to $500.
• Compensation based on skills, qualifications, and location.