Software Engineer, Sensor Simulation

Position Overview

Waabi is an AI company dedicated to building the next generation of self-driving technology. Founded by AI pioneer Raquel Urtasun, Waabi leverages a world-class team and an innovative approach to AI to safely drive in the real world, accelerating the commercialization of self-driving. Backed by top-tier investors, Waabi is rapidly expanding with offices in Toronto, San Francisco, and Dallas. We are seeking diverse, innovative, and collaborative candidates eager to make a positive global impact.

As a Software Engineer in Sensor Simulation, you will be instrumental in creating the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with renowned scientists and engineers to develop innovative, practical, and scalable rendering and content creation solutions for self-driving technology. We foster an environment that values original, high-impact ideas and rigorous experimental validation.

Responsibilities

• Join a multidisciplinary team of Research Scientists and Engineers focused on building a cutting-edge multi-sensor simulation stack that integrates graphics, computer vision, and machine learning.
• Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs, combining traditional real-time rendering techniques with neural rendering, 3D Gaussian Splatting, generative models, and more.
• Collaborate closely with Waabi’s autonomy and safety teams to enhance the realism and diversity of Waabi World.
• Contribute to high-impact research with opportunities to publish at top-tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, and ICRA.

Requirements

• Real-time Graphics Experience: Minimum of three years shipping real-time rendering projects with extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).
• GPU Optimization Familiarity: Deep understanding of GPU performance and proficiency in using instrumentation and tracing tools (e.g., NSight, Tracy, Renderdoc) to identify and resolve bottlenecks.
• Strong Software Engineering Fundamentals: Ability to write efficient and maintainable code in systems languages like C++ or Rust. Proficiency in at least one shading language (GLSL, HLSL, WGSL, etc.).
• Passion for Building Worlds: Proven experience creating and working within interactive 3D environments, whether from AAA games, indie titles, or complex robotics simulators.

Bonus / Nice to Have

• Experience working with robotics and other autonomous systems.
• Experience with accelerated computing technologies such as CUDA, OpenCL, and Vulkan compute pipelines.
• Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).
• Experience with Python and deep learning frameworks (PyTorch, JAX, TensorFlow).
• Experience with neural rendering techniques (NeRF, Gaussian Splatting, etc.).
• Experience working in cloud computing environments, including launching and debugging GPU jobs.

Employment Type

• Full-time

Salary & Perks/Benefits

• US Yearly Salary Range: $155,000 - $269,000 USD
  • This range is in addition to competitive perks & benefits.
  • Salary is determined by factors including compensation practices, minimum and maximum targets for new hire salaries across all US locations.
  • Additional compensation includes equity incentive awards and an annual performance bonus.
• Health and Wellness: Comprehensive Medical, Dental, and Vision coverage (for full-time employees).
• Unlimited Vacation
• Flexible work arrangements: Flexible hours and Work From Home support.
• Office Amenities (when in office): Daily drinks, snacks, and catered meals.
• Team Building: Regularly scheduled team building activities.

Company Information

• Name: Waabi
• Website: www.waabi.ai
• Locations: Toronto, San Francisco, Dallas
• Founded by: AI pioneer and visionary Raquel Urtasun
• Focus: Building the next generation of self-driving technology using AI.
• Backing: Best-in-class investors from technology, logistics, and the Canadian innovation ecosystem.

Application Instructions

• Information not provided in the original job description.