Senior Software Engineer, Autonomy - Perception, Deep Learning

Cyngn • Mountain View, CA

163d • $180,000 - $198,000

About The Position

We are seeking an experienced Senior Software Engineer to join our Perception team within the Autonomy Software organization. This role centers on developing advanced deep learning models that power object detection, segmentation, and tracking using camera and lidar data for Cyngn’s autonomous forklifts. A key responsibility will be designing, training, and deploying multi-modal perception models to detect and localize pallets in diverse warehouse environments, enabling reliable pallet engagement and stacking.

Requirements

• MS/PhD in computer science, computer engineering, robotics, or similar technical field of study.
• 4+ years of experience writing Python software in a production environment - unit testing, code review, algorithm performance trade-offs, etc.
• Strong theoretical foundation in deep learning techniques for computer vision, with working knowledge of linear algebra, probability, and optimization.
• Hands-on experience developing and deploying deep learning models for real-world perception tasks (e.g., detection, segmentation, multi-object tracking).
• Proficiency with libraries such as Pytorch, TensorFlow, Numpy, SciPy, OpenCV (Python), etc.
• Experience building and integrating tools and infrastructure to optimize model development lifecycle, including but not limited to model versioning, model evaluation, model deployment, etc.
• Excellent written & verbal communication skills.

Nice To Haves

• Proficiency in C++ for robotics or real-time applications.
• Hands-on experience with model acceleration or compression (TensorRT preferred).
• Experience utilizing foundation models (e.g., SAM, CLIP) to expedite training and development cycles.
• Strong classical computer vision skills (e.g., image processing, feature extraction, geometry-based methods) to complement deep learning approaches.
• Experience with leveraging IsaacSim synthetic data to augment real-world datasets and accelerate model development.
• Exposure to industrial material handling autonomous vehicles including forklifts and tuggers operating in dynamic warehouse environments.

Responsibilities

• Design, implement, and optimize deep learning models for object detection, segmentation, and tracking using camera and lidar data.
• Build and maintain data pipelines, training infrastructure, and inference frameworks to support reproducible and scalable model development.
• Develop tools and metrics for evaluating model performance and ensuring robustness across diverse warehouse environments.
• Work with third-party annotation vendors to generate high-quality labeled datasets for training and validation.

Benefits

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 51-100 employees