Senior Software Engineer, Autonomy - Perception, Deep Learning at Cyngyn

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, Warehouse AutomationIndustries

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
Bonus Qualifications
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

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

Skills

Key technologies and capabilities for this role

Deep LearningObject DetectionSegmentationObject TrackingLiDARCamera DataMulti-Modal ModelsModel AccelerationModel TrainingModel Deployment

Questions & Answers

Common questions about this position

What qualifications are required for the Senior Software Engineer role?

Candidates need an MS/PhD in computer science, computer engineering, robotics, or a similar field, plus 4+ years of experience writing Python software in production environments including unit testing and code review. A strong theoretical foundation in deep learning for computer vision, with knowledge of linear algebra, probability, and optimization is also required.

What are the main responsibilities of this position?

Responsibilities include designing and optimizing deep learning models for object detection, segmentation, and tracking using camera and lidar data, building data pipelines and training infrastructure, developing evaluation tools, and working with annotation vendors for labeled datasets.

Is this a remote position or does it require being in the office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Cyngn?

Cyngn has a startup energy with under 100 employees, close-knit teams, mentorship from leaders, a welcoming and diverse team emphasizing collaboration, trust, and where everyone's perspective matters to drive innovation.

Cyngyn

Autonomous vehicle technology for industrial fleets

About Cyngyn

Cyngn focuses on industrial autonomous vehicle technology, offering the Enterprise Autonomy Suite (EAS) that combines self-driving software, hardware, and analytics for industrial fleets. Their technology transforms traditional vehicles into fully autonomous units, enhancing efficiency in manufacturing and warehouse settings. Unlike competitors, Cyngn uses a Robotics as a Service (RaaS) model, allowing clients to access their technology through a subscription, which reduces upfront costs. The company's goal is to lead in industrial automation by providing scalable and efficient solutions that improve operational performance.

Palo Alto, CaliforniaHeadquarters

2013Year Founded

$134.7MTotal Funding

IPOCompany Stage

Robotics & Automation, Industrial & ManufacturingIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

Commuter Benefits

Unlimited Paid Time Off

Stock Options

Sabbatical Leave

Paid Parental Leave

Meal Benefits

Risks

Competition from established players like Waymo and Tesla in industrial applications.

Potential supply chain issues with reliance on NVIDIA hardware and software.

Economic downturns could impact the adoption of Cyngn's RaaS model.

Differentiation

Cyngn's Enterprise Autonomy Suite is vehicle agnostic, supporting diverse industrial fleets.

The company offers a Robotics as a Service model, reducing upfront costs for clients.

Cyngn's proprietary computer vision technology enhances autonomous vehicle capabilities.

Upsides

Growing demand for autonomous vehicles due to labor shortages in industrial sectors.

Partnerships with major dealers like Alta Equipment Group expand market reach.

Recent patent for adaptive decision making strengthens Cyngn's technological edge.

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