Research Engineer, Neural Rendering

ProducePay; United States; Hybrid; USD 134,000 - 235,000; Full time

Benefits offered by this job

Competitive compensation and equity

Health and Wellness benefits

Unlimited Vacation

Flexible hours and work from home

Daily meals and snacks

Team building activities

Evolving perk list

Job summary

Waabi, a leader in Physical AI, seeks a Research Engineer in Neural Rendering to build multi-sensor rendering systems for autonomous driving. Join a world-class team delivering scalable rendering and content creation solutions for self-driving platforms.

You will work with NeRF, 3D Gaussian Splatting and diffusion models on real-world sensor data, collaborating with autonomy and safety teams to enhance Waabi World and publish impactful research.

Qualifications

• Shipping production software experience
• Deep understanding of ML or neural rendering techniques
• Cloud-based ML design, launch and debugging on GPUs

Responsibilities

• Be part of a multidisciplinary team building a best-in-class multi-sensor simulation stack.
• Use neural rendering, reconstruction and diffusion techniques to create large-scale digital twins from camera, LiDAR and RADAR data.
• Collaborate with autonomy and safety teams to improve realism and diversity of Waabi World.
• Contribute to high-impact research papers submitted to top conferences/journals

Skills

Shipping Production Software

Deep ML / Neural Rendering

Cloud Machine Learning

Software Engineering Fundamentals

Tools

PyTorch

TensorFlow

C++

Rust

Job description

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 Research Engineer in Neural Rendering, you will create the next generation of multi-sensor rendering systems 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.

You will…

• Be part of a team of multidisciplinary Research Scientists and Engineers working on building a best-in-class multi-sensor simulation stack.
• Use cutting edge techniques in reconstruction, neural rendering and generative AI to build large-scale, efficient digital twins from real-world camera, LiDAR, and RADAR data. You will work on shipping next-generation simulation software which mixes traditional real-time rendering with NeRF, 3D Gaussian Splatting, diffusion models, etc.
• Collaborate with Waabi’s autonomy and safety teams to improve the realism and diversity of Waabi World.
• Have the opportunity to make contributions to high-impact research papers submitted to top conferences or journals (CVPR, ECCV, ICCV, SIGGRAPH, NeurIPS, ICLR, ICRA, RA‑L).

Qualifications:

• Shipping Production Software. You have experience in reading and developing production quality software, versus only creating prototypes and proofs of concept. You are comfortable working with large datasets for ML applications.
• Deep understanding of ML or neural rendering. You are familiar with the internals of modern machine learning (diffusion models, vision foundational models) or neural rendering (NeRF, 3DGS) systems beyond just application. You understand the limitations of current methods and the different trade-offs between paradigms.
• Cloud Machine Learning. Experience designing, launching, and debugging GPU machine learning jobs in the cloud (PyTorch, TensorFlow).
• Strong software engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well as in at least one native systems language such as C++ or Rust.

• The US yearly salary range for this role is: $134,000 - $235,000 USD
• The Canada salary range for this role is: $171,000 - $270,000 CAD
• In addition to competitive perks & benefits, Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus.

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.