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.
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.
Role Responsibilities
Enhance and optimize existing software architecture; design robust architecture for new components
Design and develop clean, efficient, and reliable code
Implement advanced features for autonomous vehicles
Uphold high standards in code quality, including continuous integration, automated testing, and comprehensive code reviews
Advocate and drive best practices in software engineering and development processes
Produce thorough technical design documentation
Mentor and support other software engineers
Required Experience
Pursuing or holding a Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field
3+ years’ experience writing production-quality code in modern C++
Experience developing in a Linux environment
Strong organizational and communication skills
Adaptive, solution-oriented mindset
Bonus Experience
Experience with ROS or similar middleware
Background in real-world safety-critical applications
Experience with deploying software tools and/or metrics
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