The Senior Simulation Software Engineer will enhance the simulation platforms for autonomous vehicles, develop high-fidelity models, and automate testing processes.
About Cyngn
Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn:
We are small and big.
With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity.
We build today and deploy tomorrow.
Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.
We aren’t robots. We just develop them.
We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.
About this role:
As a Senior Simulation Software Engineer in our autonomy software organization, you will play a critical role in accelerating the development of safe and reliable autonomous industrial vehicles and material handling systems. You’ll be responsible for advancing the fidelity, scalability, and functionality of our simulation platforms, enabling efficient testing and validation across the autonomy stack. Collaborating closely with engineers from perception, behavior, and QA teams, you will help develop and integrate high-fidelity models of vehicles, sensors, and deployment environments, as well as build scenario generation frameworks and simulation-based test automation tools. The ideal candidate brings deep expertise in robotics simulation and a passion for leveraging virtual environments to improve real-world autonomy performance.
Responsibilities
- Extend and maintain Cyngn’s existing simulation platforms and tooling.
- Lead the design and implementation of next-generation simulation technologies.
- Develop, integrate, and validate high-fidelity models that capture vehicle dynamics, sensor physics, and complex environments.
- Build tools and pipelines that enable large-scale, automated testing and performance evaluation of autonomy software.
- Support scalability efforts to simulate multi-vehicle/agent interactions in dynamic real-time scenarios.
- Contribute to technical planning, code reviews, and milestone execution in a fast-paced, product-driven startup environment.
Qualifications
- M.S. with a focus in Robotics, Computer Science, a related technical field, and/or equivalent practical background.
- 3+ years as an autonomous vehicle, robotics, or simulation software engineer with demonstrated experience in the development of simulation software.
- 3+ years writing C++ and Python software in production environments (architecture, design, testing, performance optimization, etc.).
- Proficiency using ROS in production robotics applications with exposure to ROS2 and/or other publish/subscribe middleware architectures.
- Strong written & verbal communication skills with a proven track record of delivering production quality software in a collaborative, cross-functional team setting.
- Comfortable with modern software development tools and workflows, including version control (Git) and project management platforms (e.g. Jira)
Bonus Qualifications
- Familiarity with NVIDIA Omniverse/IsaacSim for simulating robotic systems, applications, and complex environments.
- Experience leveraging simulation to create synthetic datasets for ML-based perception and behavior models.
- Understanding of how simulation is used to train high-fidelity sensor models that reflect real-world characteristics such as noise, latency, and environmental effects.
- Strong understanding of theoretical concepts in classical and/or data-driven AI methods for perception and behavior in autonomous systems.
- Exposure to industrial material handling autonomous vehicles including forklifts and tuggers with cart-trains under dynamic loading conditions.
- Background using MapleSim for developing Functional Mock-up Units (FMUs) for model exchange and co-simulation
Benefits & Perks
- 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
Top Skills
C++
Git
Isaacsim
JIRA
Maplesim
Nvidia Omniverse
Python
Ros
Ros2
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