Jobs at Waabi

As a Senior or Staff Software Engineer on the Localization team, you will design algorithms for state estimation systems, optimizing multi-sensor data fusion for real-time vehicle localization in autonomous driving.

As a Senior Software Engineer on the Mapping team, you will architect and develop robust, scalable systems for autonomous vehicle mapping, collaborating with multidisciplinary experts and handling complex data processing.

Lead cross-functional platform integration programs, mapping dependencies across hardware, embedded software, autonomy, safety, and operations. Define integrated plans, track VnV and test campaigns, surface risks with data-backed mitigation options, own executive reporting, and build scalable processes, tooling, and dependency maps to deliver milestones on time at fleet scale.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

As a Research Engineer, you will develop algorithms for world models focusing on generative and predictive modeling within complex environments, optimizing model deployment, and collaborating with research teams.

Collaborate to scale self-driving systems, build training frameworks, profile model performance, and evaluate emerging technologies for training and inference.

As a Research Scientist, you will design AI technologies for motion planning in self-driving trucks, focusing on deep learning and seamless integration into production systems.

Act as a consultant to senior leaders, providing HR support, coaching managers, analyzing data, managing change, and ensuring compliance with HR practices.

As a Senior Perception Engineer, you will develop and deploy perception algorithms for self-driving vehicles, ensuring quality and collaboration within a multidisciplinary team, while publishing research findings.

As a Research Engineer, you will develop and enhance AI algorithms for self-driving vehicles, collaborating with scientists to advance technology and support deployment in production systems.

Design and develop motion planning software and algorithms for self-driving vehicles, collaborating with engineers and researchers while maintaining progress on long-term goals.

Research Scientists at Waabi will lead AI projects to develop algorithms for self-driving technology, collaborate on solution deployment, and publish research at conferences.

The role involves defining and verifying vehicle platform requirements, enhancing capabilities, and ensuring safety compliance for self-driving technologies, while leading test campaigns and collaboration.

The role involves advancing onboard sensor systems for autonomous vehicles, solving integration issues, and collaborating with multidisciplinary teams.

Drive systems engineering lifecycle for sensing and localization in autonomous vehicles, ensuring robust solutions and leading integration across teams.

The Vehicle Reliability Engineer will diagnose issues, implement workarounds, collaborate on root cause analysis, and improve vehicle reliability through methodologies like Lean and Six Sigma.

As a Software Engineer, you'll design and optimize algorithms for real-time sensor data processing, collaborating with a talented team on high-performance solutions for autonomous driving.

Provide onsite IT support at Sharpsburg, PA: troubleshoot hardware/software/networking, manage endpoints across Windows/macOS/Linux, administer identity and access, maintain office infrastructure and A/V, support security/compliance, participate in on-call rotation, and improve IT processes and documentation to scale operations across locations.

Manage full accounts payable cycle, support accounts receivable, and execute month-end/quarter-end/year-end close. Prepare consolidation schedules, journal entries, reconciliations, and supporting analytics. Assist with audits, maintain controls and accounting policies, collaborate cross-functionally, and drive process improvements.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.