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.
We are seeking a Systems Engineer to join the multi-disciplinary Systems Team. This role requires a Systems Engineer who can work independently and with other team members, help to implement frameworks and processes, and contribute to impactful cross-functional collaboration. The ideal candidate thrives in ambiguous environments and is passionate about delivering robust systems solutions.
Key Responsibilities:
Systems Analysis and Documentation: Perform tasks such as system requirement analysis and safety reviews of new or existing autonomous system features.
Systems Engineering Processes Help to establish and maintain processes in the company such as requirement verification.
Cross-Functional Collaboration: Partner with product, software, hardware, and operations teams to ensure seamless integration of systems solutions.
Autonomy & Domain Knowledge: Quickly get up to speed with the necessary domain knowledge, contributing to the team with minimal guidance while continuously enhancing your expertise.
Qualifications:
Technical skills
Systems engineering skills, including systems engineering methodology, requirements management, safety analysis (HARA, FMEA), and system verification and validation.
Ability to work in a highly autonomous role, set clear goals, and take initiative to drive results in an ambiguous environment, driving cross-functional teams towards technical goals.
Experience with requirement management tools (e.g. Polarian, DOORS, Jama) and system modelling tools (e.g. SysML, MagicDraw).
Experience in engineering/robotics domains, working with distributed systems consisting of hardware, software, and cloud-based applications.
Familiarity with agile development methodologies and how they relate to systems engineering.
Experience
Bachelor’s or Master’s degree in Systems Engineering, Engineering, Robotics, or a related field.
2+ years of experience in systems engineering or a related role.
Soft skills
Strong interpersonal and communication skills to effectively collaborate with diverse teams and stakeholders.
Exceptional problem-solving skills, with the ability to manage ambiguity and drive clarity.
A passion for continuous learning and the ability to quickly acquire domain-specific knowledge.
Bonus skills
Expertise in systems architecture, network infrastructure, and system integration.
Experience with verification test case management and traceability tools
Experience with simulation tools
Experience with safety standards such as ISO26262, SOTIF, etc.
Familiarity with INCOSE, ASEP certification

Venti is a global leader in AI & autonomous vehicle logistics solutions for ports, airports, warehouses, and factories. Founded in 2018 by a team with strong MIT roots, Venti is pioneering the future of transportation for moving goods.
Venti is the only US-based company with a fully operational fleet of autonomous vehicles running live in one of the world’s busiest ports. Our AI-powered vehicles have logged over 600,000 km (373,000 miles) and moved 230,000+ containers in mixed human-and-robot traffic — without safety drivers, dedicated lanes, or added infrastructure. Delivering 1-inch precision and up to 40% productivity gains, our technology integrates seamlessly into existing terminal workflows.