Collaborate with research scientists on algorithm design, improve model development, and develop a framework for mixed precision training of models.
Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
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
You will…
- Collaborating with research scientists during algorithm design to ensure code is efficiently designed from inception
- Identify and communicate best practices for model development
- Reformulate performance bottlenecks
- Develop a framework suitable for mixed precision training of multi-task, multi-modality models in a heterogeneous distributed training environment
- Research, implement, and test alternative formulations for fundamental DNN operations and AV centric representations
- Enable safe and efficient deployment of PnP models
Qualifications:
- PyTorch API and implementation
- CUDA system design
- Asynchronous programming model
- Heterogeneous compute
- C++ / libtorch
Bonus:
- Machine learning model architecture design
- TensorRT
- CUDA kernel implementation
- Experience with autonomous vehicle multi-sensor model architectures
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi (US) 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 locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an 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.
Top Skills
C++
Cuda
Libtorch
PyTorch
Tensorrt
Similar Jobs
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Principal Product Marketing Manager will lead the growth strategies for Dropbox Core, managing experiments and maximizing user retention and monetization through effective onboarding and lifecycle programs.
Top Skills:
A/B TestingB2B SaasData AnalysisEmail MarketingExperimentation ToolsProduct ManagementUx Design
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Associate Cloud Operations Technician will ensure seamless delivery of cloud services by configuring, maintaining, and troubleshooting systems, while also collaborating with teams to enhance client experience.
Top Skills:
Microsoft Windows ServerPowershellSql Server Management StudioTcp/IpVb Script
Artificial Intelligence • Cloud • eCommerce • Enterprise Web • Software • Design • Generative AI
The Staff Software Engineer, Structure will build components for the Webflow platform, collaborating across teams, leading projects, and mentoring engineers while focusing on scalable architecture and user experience.
Top Skills:
Node.jsReactTypescript
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
