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Full-Time

Sr. Software Engineer

Motion Planning

Posted on 7/19/2023

Cyngyn

Cyngyn

51-200 employees

AI-powered autonomous technology for industrial fleets

Data & Analytics
Automotive & Transportation
Hardware
Industrial & Manufacturing
Enterprise Software
AI & Machine Learning

Compensation Overview

$170k - $230k

Senior

Menlo Park, CA, USA

Category
Software Engineering
Required Skills
Python
Software Testing
Git
Data Structures & Algorithms
JIRA
Requirements
  • MS/PHD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
  • 4+ years experience writing C++ code in a production environment -- unit testing, code review, algorithm performance and tradeoffs, architecture, etc
  • Basic knowledge of vehicle kinematics/dynamics
  • Solid knowledge of modern path planning techniques such as A
  • , D
  • , RRT, etc
  • Experience with trajectory optimization techniques and tuning processes
  • Demonstrated math skills including geometry, linear algebra, probability, etc
  • Exposure to modern software development version control and project management tools - Git, Jira, etc
  • Strong written & verbal communication skills
  • $170,000 to $230,000 base salary (highly experienced)
Responsibilities
  • Formulate, implement, tune and test motion planning algorithms
  • Build infrastructure for regression testing, performance validation, and system maintenance
  • Test and deploy developed algorithms in simulation environments as well as on production vehicles
Desired Qualifications
  • Experience with safety-critical, real-time mobile autonomous robotic vehicles
  • Experience with planning under uncertainty
  • Deep understanding and experience of nonlinear optimization
  • Experience working with ROS to design, build, and operate robotic systems
  • Knowledge/experience of machine learning, decision making, or controls is a plus
  • Proficiency in Python is a plus

Cyngn is distinguished by its development of DriveMod, an AI-powered autonomous vehicle technology that enhances the efficiency and safety of industrial fleets. This advancement allows vehicles not only to operate autonomously but also to switch effortlessly between manual and autonomous modes. Employees benefit from working at the forefront of AI and autonomous vehicle technology, contributing to transformative solutions that optimize industrial operations globally.

Company Stage

IPO

Total Funding

$171.6M

Headquarters

Palo Alto, California

Founded

2013

Growth & Insights
Headcount

6 month growth

9%

1 year growth

9%

2 year growth

36%
INACTIVE