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.
Position Summary
We are seeking a highly experienced and hands-on robotics engineer to lead the evaluation, development, and deployment of robotic automation solutions for autonomous vehicle operations in ports, intermodal rail yards, and logistics hubs.
The initial focus of this role will be autonomous trailer coupling operations, including automated connection and disconnection of air brake (gladhand) and electrical interfaces. This capability is a key enabler for fully driverless terminal operations.
The successful candidate will evaluate existing technologies, robotics suppliers, and research solutions, define system requirements, lead proof-of-concept activities, and drive integration into Venti's autonomous vehicle platform. Where suitable solutions do not exist, the candidate will be expected to develop and prototype new robotic capabilities.
This role requires a combination of technical leadership, system engineering, hands-on development capability, and strong build-versus-buy judgment.
Role responsibilities
Solution Evaluation & Technology Strategy
Evaluate robotics, automation, sensing, and manipulation solutions from vendors, startups, and research institutions.
Conduct technical due diligence and gap analysis.
Develop build-versus-buy recommendations.
Identify opportunities to leverage existing technologies before pursuing custom development.
Vendor Engagement
Engage with robotics vendors, automation suppliers, and research partners.
Define technical requirements and interface specifications.
Establish performance benchmarks and validation criteria.
System Architecture & Integration
Define overall robotic automation architecture.
Integrate robotic systems with ATTs
Define mechanical, electrical, software, and safety interfaces.
Support deployment, testing, and field validation.
Robotics Development & Prototyping
Where commercial solutions are insufficient:
Design and prototype robotic manipulation solutions.
Develop perception, localization, and control algorithms.
Design end-effectors and automation mechanisms.
Implement robotic motion planning and controls.
Analyze operational data and improve system robustness and reliability.
Required experience
Educational Background: PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Mechatronics, or a closely related discipline with a strong focus on robotics.
Experience
8+ years of robotics industry experience, preferably involving real-world deployment of robotic systems.
Proven track record delivering robotic solutions from concept through deployment.
Experience evaluating, selecting, and integrating third-party robotics technologies.
Experience with industrial robotic platforms such as ABB, Fanuc, KUKA, Yaskawa, Universal Robots, Franka, or equivalent systems.
Strong experience in several of the following areas:
Robotic manipulation and industrial robotics
Motion planning and robot controls
Computer vision and pose estimation
Sensor fusion and perception systems
Industrial automation and system integration
Safety-critical robotic systems
Experience with modern AI-driven robotics approaches is highly desirable, including:
End-to-end robotic learning systems
Vision-Language-Action (VLA)/VLM models
Learning-based manipulation
Imitation learning
Reinforcement learning
Foundation models for robotics
Software & Development
Hands-on experience with C++, Python, ROS / ROS2, MoveIt or equivalent robotics frameworks and Robot kinematics and controls
The candidate should be capable of personally developing prototypes, validating technical approaches, and troubleshooting field issues when required.
If you’re ready to apply your skills and creativity to the most impactful challenges in autonomous logistics, we will love to hear from you!