Senior Software Engineer, Cyngn
Autonomy, Perception, Deep Learning
$180-198k
Office located in Mountain View, CA
Industrial autonomous vehicle technology
Job no longer available
Industrial autonomous vehicle technology
21-100 employees
Job no longer available
$180-198k
Office located in Mountain View, CA
21-100 employees
Company mission
To address significant challenges facing industrial organizations today, such as labor shortages and costly safety incidents.
Role
Who you are
- 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
- Additional experience with model acceleration techniques, building model development infrastructure, and ownership of the end-to-end model lifecycle—from research and training through deployment in production—is considered a strong bonus
Desirable
- 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
What the job involves
- 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
- 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
Our take
From the switch from manual driving to automatic in the 40s, and now the rise of autonomous vehicles (AVs) in the past 5-10 years, cars have come a long way. While much of the attention has focused on consumer-facing self-driving cars, it's often overlooked how many industrial vehicles are now capable of operating, at least in part, without direct driver control.
Cyngn is a well-established company providing autonomous vehicles solutions for these environments. Its DriveMod product is designed to integrate with existing workflows, allowing businesses to introduce automation without major infrastructure changes. Rather than focusing purely on capability, the company emphasizes practical deployment, aiming to deliver systems that can reliably handle real-world industrial tasks.
Cyngn has raised significant funding since its founding in 2009, reflecting both the strength of its technology and continued investor confidence. Alongside partnerships with companies like US Continental and Jtec Industries, the business is still actively securing new capital, with a recent $8.65M raise aimed at supporting further development and scaling its autonomous solutions,. With DriveMod already deployed across vehicles like tuggers and forklifts, Cyngn is positioning itself to capitalize on growing demand from industrial and logistics operators looking to address labor shortages and improve safety through automation.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
22% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2015
$85m
SERIES C
Dec 2013
$23m
SERIES B
Total funding: $115m
Company HQ
Mountain View, CA
Leadership
Lior Tal
(CEO)Lior joined Cyngn in 2016 as COO, moving into the role of CEO that same year. Previously, he spent over 5 years at Facebook as a Director of Growth & Partnerships. He also founded Snaptu where he served as the company's VP of Business Development for nearly 4 years.
Natalie Russell
(CFO)Natalie joined Cyngn in 2023 as the Director of Accounting, she then became the Interim CFO in January 2025 and became CFO later that same year. Previously, she was a Technical Accounting Manager at SOAProjects. She also spent over 5 years at EY in various Audit roles.
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