Finance Associate
Build and improve FP&A frameworks, budgets, forecasts, financial models, dashboards, and executive reporting to support strategic decisions and strengthen financial discipline as the organization scales.
Build and improve FP&A frameworks, budgets, forecasts, financial models, dashboards, and executive reporting to support strategic decisions and strengthen financial discipline as the organization scales.
As a Vehicle Reliability Engineer on the night shift, you will diagnose vehicle issues, implement temporary fixes, and collaborate with teams to enhance vehicle reliability and safety.
Develop machine-learned vehicle dynamics and control approaches, integrating learned models into closed-loop simulation and validating their performance from offline experiments through on-vehicle testing.
Lead the software quality of the Planner Architecture, ensuring robust fault-tolerance systems and driving improvements in motion planning software for autonomous vehicles.
Develop and enhance software and firmware for Hardware-in-the-Loop (HIL) systems, ensuring robust testing and integration for autonomous vehicle technologies.
Lead the Hardware-in-the-Loop (HIL) program at Waabi, overseeing strategy, architecture, and execution while ensuring robust testing for autonomous vehicle systems.
As a Systems Engineer on the Embedded Systems team, you'll translate vehicle-level safety concepts into embedded architecture and technical safety requirements for autonomous systems.
Own the asset pipelines and content systems behind a multi-sensor simulation stack, turning raw sensor logs into validated, searchable simulation assets and productionizing advances in neural rendering and generative AI.
Lead the Sensors Team at Waabi, driving technical direction and strategy for sensor development, integration, and evaluation in autonomous vehicle technology.
As an Applied Data Scientist, you will collaborate with cross-functional teams to analyze autonomy system performance and develop dashboards that provide actionable insights for the organization.
Build and optimize distributed machine-learning training and inference systems, profiling runtime and memory, evaluating performance technologies, and helping research and engineering teams use compute resources effectively.
Develop and optimize signal processing algorithms that turn camera, LiDAR, radar, and other sensor data into reliable, low-latency signals for autonomous driving, collaborating across research, autonomy, and hardware teams.
Develop and optimize real-time sensor-processing algorithms for autonomous driving, delivering low-latency, reliable software across CPU, GPU, and specialized hardware while collaborating with autonomy and hardware teams.
Build and operate data pipelines, labelling tools, and automation that surface relevant driving data and deliver high-quality datasets for autonomy and machine learning development.
Lead the strategy and execution of the core autonomy stack for Waabi Driver, bridging AI research with commercial requirements to ensure successful product delivery.
Architect and optimize real-time localization and state-estimation systems for autonomous vehicles, fusing sensor data to deliver robust, centimeter-accurate positioning in challenging environments.
Build scalable, AI-driven mapping infrastructure for autonomous vehicles, spanning distributed data pipelines, APIs, observability, and real-time serving while partnering with engineering and research teams.
As a Research Engineer in the World Models team, you will develop and productionize algorithms for large-scale world models that enhance autonomous driving capabilities.
Build and scale the ML systems behind an offline perception and auto-labelling platform, orchestrating training and evaluation pipelines and bringing deep learning architectures into production.
As a Research Scientist in World Models, you will develop algorithms for large-scale world models that enhance temporal reasoning and generation in complex environments.
As a Research Scientist in Neural Reconstruction, you will develop advanced algorithms for 3D/4D scene reconstruction from sensor data, enhancing Waabi World's capabilities in autonomous transportation.
Build evaluation infrastructure, statistical analysis pipelines, performance metrics, and scalable query services to assess autonomous driving systems across real-world data and simulation.
Build and optimize scalable ML data pipelines for autonomous driving, using real-world and simulated data to train and evaluate models, improve dataset quality, and surface critical edge cases.
As a Research Scientist on the Behaviors team, you will develop advanced simulation agents and algorithms, pushing the boundaries of self-driving technology through innovative research and collaboration.
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