Senior Software Engineer, Autonomy - Calibration, Mapping & Localization at Cyngyn

Mountain View, California, United States

Cyngyn Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Technology, Robotics, Industrial AutomationIndustries

Requirements

  • MS/PhD with focus in robotics or a similar technical field of study
  • Solid foundation in probability theory, linear algebra, 3D geometry, and spatial coordinate transformations
  • In-depth understanding of matrix factorization algorithms and Lie algebra/groups
  • Solid theoretical knowledge of state-of-the-art techniques in 3D Lidar-based mapping and localization for autonomous vehicles (LOAM series, GICP, FastLIO, bundle-adjustment)
  • Familiarity with state estimation frameworks such as EKF’s as well as modern nonlinear optimization libraries (GTSAM, G2O, Ceres-Solver, GNC-Solver, etc.)
  • 6+ years of industry experience as an autonomous vehicle or robotics software engineering professional including hands-on implementation and tuning on production hardware
  • 6+ years industry experience writing C++ software in a production environment - architecture design, unit testing, code review, algorithm performance trade-offs, etc
  • Proficiency in Python
  • Excellent written & verbal communication skills

Responsibilities

  • Design, implement, tune, and test mapping, localization, and sensor calibration algorithms for our autonomous vehicle platforms using C++ and Python
  • Develop tooling and metrics for performance validation and continuous testing frameworks
  • Balance project tasks, code reviews, and research to meet product-driven milestones in a fast-paced startup environment

Skills

Calibration
Localization
Mapping
HD Maps
Autonomous Vehicles
Sensor Fusion
Software Integration
Production Software
ROS
LiDAR Processing

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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