Waabi

Accounting Manager

• Lead the monthly, quarterly, and annual close process.
• Manage consolidation of financial statements across entities.
• Prepare and review US GAAP financial statements.
• Ensure accuracy and completeness of general ledger activity.
• Automate accounting processes using AI, including, consolidation, financials statements preparation, close, reconciliations, and reporting workflows.
• Identify and implement AI-driven efficiencies to reduce manual work and improve accuracy.
• Partner cross-functionally to improve systems, data flow, and reporting.
• Support audit processes and maintain audit-ready documentation.
• Additional ad hoc projects and responsibilities as assigned.

Senior Accounting Manager

Engineer

• Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
• Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
• Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
• Create and benchmark new CUDA kernels for inference.
• Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.

Senior/Staff ML Training Optimization Engineer

Full-stack Engineer

• As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving.
• Collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability.
• Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.
• Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.
• Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.
• Collaborate with Waabi’s autonomy and hardware teams to ensure the efficiency and robustness of the entire system.

Senior/Staff Software Engineer, High-Performance Onboard Algorithms

Research Engineer

• As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving.
• You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and other modalities) with low latency and high reliability.
• We value original, high-impact ideas and rigorous experimental validation.
• You will be part of a multidisciplinary team of scientists and engineers working on a system that turns raw sensor data captured under diverse environments into useful signals for autonomous driving.
• Design and implement novel signal processing techniques for sensor data acquisition, fusion, and filtering.
• Optimize signal processing algorithms for deployment on parallel computing architectures (e.g., CPU, GPU, DSP, and specialized accelerators).
• Collaborate with Waabi’s autonomy and hardware teams to ensure the robustness of the entire system.
• Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (e.g., TSP, TIP, ICRA, IROS, CVPR, NeurIPS, SIGGRAPH, HPG).

Research Engineer, Sensor Signal Processing

• Be part of a multidisciplinary team of Engineers and Scientists working on a scalable system to produce fast, accurate calibration for a wide array of sensing modalities (e.g. camera, lidar, radar, IMU, GNSS).
• Develop the next generation of calibration algorithms leveraging classical and learning-based approaches in 3D geometry with a focus on robustness, compute efficiency, and safety-critical accuracy.
• Design and implement real-time calibration integrity monitoring algorithms to ensure safe autonomous driving on a diverse fleet of vehicles.
• Coordinate large-scale deployment of the calibration of an entire fleet of autonomous vehicles.

Research Engineer, Calibration

• Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
• Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected.
• Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system.
• Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects.
• Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement.
• Deploy open-set / embedding models to our production environment - empowering new search and curation modalities.
• Champion engineering excellence, ensuring high-quality, well structured, and tested code.
• Contribute to project roadmap planning, prioritization, and delivery.

Software Engineer, Labelling, Data & Automation

Machine Learning Engineer

• Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
• Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
• Automate the training, testing and deployment processes for machine learning models.
• Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
• Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
• Ensure compliance with security and data privacy standards in all MLOps activities.