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Singapore
Onsite
A world empowered by autonomy. We build robotic vehicles to improve logistics safety, forge a greener Earth, and enhance human lives.
We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality.
About Venti Technologies
Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters.
The Systems Team is a cross-functional team that helps to solve problems across many different areas in the company. You will get to learn from the other experienced members of the team and work closely with the simulation engineers.
As an Autonomous Vehicle Simulation Engineer intern in our team, you will get to know many aspects of the autonomous system and contribute to the important work that we do to validate the system performance using simulation.
Role responsibilities
Develop and Maintain Simulation Test Cases: Collaborate with the software and validation teams to create and update test cases that represent various driving scenarios, ensuring simulated environments accurately reflect real-world conditions.
Validate Scenario Accuracy: Assist in reviewing and confirming that the scenarios employed for testing autonomous vehicle behaviors are realistic, comprehensive, and meet established performance metrics and requirements.
Scenario-Based Virtual Testing: Support system-level verification and validation by running and monitoring scenario-based simulations, following given guidelines, and documenting findings for further analysis.
Simulation Metrics Tracking: Help gather, organize, and conduct initial analysis of simulation metrics, contributing to data-driven insights and improvements in testing methodologies.
Issue Triaging and Debugging: Identify anomalies in simulation outputs, document issues, and work under guidance to troubleshoot and refine test parameters, contributing to improved system robustness.
Report Writing: Prepare preliminary test reports and summaries of simulation results, ensuring that stakeholders receive clear and concise updates on testing progress and outcomes.
You will learn about company-specific simulation and development tools, but will not be developing code.
Required experience
Undergraduate in Degree / Diploma in Computer Science, Engineering, Robotics, or related fields
Experience with Linux
Experience with Python
Passionate about problem-solving
Self-organised
Bonus experience
Experience with Python
Experience with ROS
Experience with real world robotics deployment
Experience with sensor calibration
We are looking for students with ability to commit to a minimum of 6 months internship with us!
