Total 4 job vacancies by Venti Technologies Pte. Ltd.

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 overview

The System Engineer is responsible for end-to-end system-level quality, integrating cross-functional components, and ensuring efficient issue resolution and continuous system improvement. This role bridges triage, development, and validation, evolving from issue handling to system ownership and optimization.

Role responsibilities

• System-Level Ownership

  • Own system behavior across modules (perception, planning, control, etc.)

  • Understand and manage cross-component dependencies and interfaces

• Advanced Triage & Root Cause Analysis

  • Lead complex issue investigations beyond surface-level triage

  • Drive root cause analysis across software, data, and system interactions

  • Ensure high-quality and timely resolution of critical issues

• Cross-Functional Coordination

  • Act as the central point between engineering, testing, and operations teams

  • Align priorities and drive resolution across multiple stakeholders

• System Quality & Process Improvement

  • Identify systemic issues and recurring patterns

  • Improve triage workflows, feedback loops, and system robustness

  • Propose and implement scalable solutions (not just case-by-case fixes)

• Data-Driven Decision Making

  • Use logs, metrics, and field data to diagnose issues and guide improvements

  • Define KPIs for system performance and triage efficiency

• Technical Leadership (Emerging)

  • Influence system design decisions based on real-world issues

  • Contribute to architecture discussions and quality strategy

Required experience

• Strong system thinking and ability to understand complex, integrated systems

• Experience in debugging, triage, or system integration (AV or similar complex systems preferred)

• Ability to work across teams and drive alignment

• Strong analytical and problem-solving skills

• Familiarity with logs analysis, data pipelines, and debugging tools

Role responsibilities

• Be part of the team to architect and bring up the new service infrastructure for autonomous prime mover (APM) business.

• Architect and develop large scale IoT system to track live operation data for fleet management to support live fleet operations and monitoring.

• Provide best data model and services for global route optimization, live monitoring, live map update, vehicle configuration, vehicle maintenance.

• Architect and develop other internal serivces to facilating R& D process.

• Bring up universal auth integration and best security practice.

• Provide common client SDK for backend services.

Required experience

• Bachelor’s or master's degree in computer science or related relevant field.

• 5+ years' experience in backend implementation.

• Experience with RESTful API framework in Python, Java, or Golang.

• Experience with high performance backend implementation, profiling, and monitoring.

• Experience with data modeling with relational database and NoSQL database.

• Experience with docker, K8s or other containerization techniques.

• Experienced with cloud services.

• Experience with proper CI/CD setup.

• Excellent communication skills.

• Algorithm Development: Support the development of route optimization andmotion planning algorithms (graph search, sampling, or optimization-basedmethods) based on designs provided by the research team.

• Software Development: Writeclean, maintainable, and efficient C++ code to integrate planning modules intothe core autonomy stack.

• Simulation & Validation:Own the end-to-end testing of planning stacks in simulation. You will beresponsible for identifying "corner cases," debugging planningfailures, and ensuring trajectory smoothness.

• Performance Optimization:Assist in profiling and optimizing existing algorithms to ensure they meetreal-time constraints and operate efficiently on embedded hardware.

• Field Testing & Analysis:Participate in real-world vehicle testing. Analyze logs and telemetry data totroubleshoot behavior inconsistencies and improve system reliability.

• Cross-Functional Support:Collaborate with the Perception and Control teams to ensure seamless data flowand coordinate transform accuracy across the stack.

Required experience

• Educational Background: Master’s or Bachelor’s degree in ComputerScience, Robotics, Engineering, or a related field. A strong academicfoundation in path planning or autonomous systems is required.

• Programming Proficiency: Solid proficiency in Modern C++. Familiaritywith Python for scripting and data analysis is a plus.

• Robotics Fundamentals: Good understanding of standard planningalgorithms (e.g., A*, RRT*, Frenet frames, or Lattice planners) and basickinematics.

• Hands-on Tools: Experience with Linux (Ubuntu) and ROS/ROS2 isessential.

• Growth Mindset: A proactive "tinkerer" attitude with theability to learn complex new frameworks quickly and a desire to solve"hard" robotics problems.

Position overview

We are seeking a Planning Research Engineer to join our planning and control team. You will design, develop, and test algorithms that allow autonomous systems to navigate complex environments safely and efficiently.

• Algorithm Development: Assist in developing behavior/motion planning algorithms for autonomous vehicles, including decision-making and trajectory generation.
• Simulation and Testing: Implement, test, and validate behavior and motion planning algorithms in simulation environments and/or on vehicles.
• Optimization: Work on optimizing existing behavior/motion planning algorithms for performance, safety, and efficiency.
• Collaboration: Collaborate with teams across different domains such as perception, localization, and control to ensure robust integration of planning algorithms.
• Data Analysis: Analyze test data and simulation results to assess algorithm performance and identify areas for improvement.
• Research: Stay up-to-date with the latest research in behavior planning and motion planning and propose innovative solutions to address autonomy challenges.