Senior / Staff Graphics Software Engineer

Waabi; Toronto; On-site; CAD 211,778 - 367,537; Full time

Benefits offered by this job

Competitive compensation and equity awards

Health and Wellness benefits

Unlimited Vacation

Flexible hours and Work from Home support

Daily drinks, snacks and catered meals

Regularly scheduled team building activities

Job summary

A leading autonomous technology company in Toronto seeks a Software Engineer focusing on Sensor Simulation. This role involves collaborating to create cutting-edge simulation software for autonomous vehicles, utilizing advanced rendering techniques. Candidates should have extensive experience in real-time graphics and systems programming with a strong foundation in GPU optimization. The position offers competitive compensation, unlimited vacation, and a flexible work environment. Join us to shape the future of transportation.

Qualifications

• Minimum of three years shipping real-time rendering projects.
• Deep understanding of GPU performance and bottleneck identification.
• Proficient in systems languages such as C++ or Rust.

Responsibilities

• Collaborate with interdisciplinary teams on a multi-sensor simulation stack.
• Design core rendering technology for simulating various sensors.
• Publish high-impact research at top conferences.

Skills

Real-time graphics experience

GPU optimization knowledge

Software engineering fundamentals

3D environment creation

Tools

Vulkan

DirectX

OpenGL

Job description

Overview

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

As a Software Engineer in Sensor Simulation, you will create the next generation of multi-sensor rendering software for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving. We value original, high-impact ideas and rigorous experimental validation.

Responsibilities

• Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge multi-sensor simulation stack leveraging graphics, computer vision, and machine learning.
• Design and implement core rendering technology for simulating cameras, LiDARs, and RADARs by mixing traditional real-time rendering with neural rendering, 3D Gaussian Splatting, generative models, etc.
• Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.
• Have the opportunity to publish high-impact research at top conferences (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA).

Qualifications

• Real-time graphics experience. You’ve spent a minimum of three years shipping real-time rendering projects, and you have extensive experience in at least one GPU API (Vulkan, DirectX, OpenGL, or similar).
• Familiarity with GPU optimization. You have a deep understanding of GPU performance, and you know how to use instrumentation and tracing tools like NSight, Tracy, or Renderdoc to identify and address bottlenecks.
• Strong software engineering fundamentals. You write efficient and maintainable code in systems languages such as C++ or Rust, and you are proficient in at least one shading language (GLSL, HLSL, WGSL, etc.).
• A passion for building worlds. Whether you've worked on AAA games, indie titles, or complex robotics simulators, you have experience creating and working within interactive 3D environments.

Bonus / Nice to have

• Experience in working with robotics and other autonomous systems.
• Experience with accelerated computing like CUDA, OpenCL, and Vulkan compute pipelines.
• Experience with accelerated raytracing (Nvidia OptiX, Vulkan Raytracing, DXR, etc.).
• Experience with Python and deep learning frameworks like PyTorch, JAX, or TensorFlow.
• Experience with neural rendering (NeRF, Gaussian Splatting, etc.).
• Experience working in cloud computing environments, e.g., launching and debugging GPU jobs in the cloud.
• The US yearly salary range for this role is: $155,000 - $269,000 USD

Perks & Benefits

• Competitive compensation and equity awards.
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
• Unlimited Vacation.
• Flexible hours and Work from Home support.
• Daily drinks, snacks and catered meals (when in office).
• Regularly scheduled team building activities and social events both on-site, off-site & virtually.
• As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.