Senior / Staff ML Optimization Engineer at Waabi

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Artificial Intelligence, AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

PythonC++RustPyTorchDistributed TrainingProfiling ToolsCUDA KernelsQuantization

Questions & Answers

Common questions about this position

What is the location and work arrangement for this role?

The position is hybrid in Toronto, San Francisco, or Dallas, with flexible hours and work from home support.

What are the required skills for the Senior / Staff ML Optimization Engineer role?

Required skills include solid coding in Python, C++, or Rust; experience with PyTorch and other deep learning frameworks; development pipeline experience in data processing, distributed training, and model deployment; and profiling skills using tools like PyTorch Profiler and NVIDIA Nsight.

What benefits does Waabi offer?

Benefits include competitive compensation and equity, health and wellness coverage for medical, dental, and vision, unlimited vacation, flexible hours with work from home support, daily drinks, snacks, and catered meals in office, team building activities, and world-class facilities with a gym and games room.

What is the company culture like at Waabi?

Waabi fosters a collaborative, innovative environment with diverse team players, regular team building activities, social events, and perks like a games room and gym to support work-life balance.

What makes a strong candidate for this position?

Strong candidates have an MS/PhD or Bachelor's with 6+ years experience in CS, Robotics or related fields, solid coding skills, deep learning framework experience, and a passion for self-driving tech; bonus for model compilation, custom CUDA kernels, and Bazel.

Waabi

Develops self-driving technology for trucking

About Waabi

Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.

Toronto, CanadaHeadquarters

2021Year Founded

$265.9MTotal Funding

SERIES_BCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Flexible Work Hours

Company Equity

Risks

Increased competition from Aurora and Volvo may impact Waabi's market share.

Reliance on NVIDIA's technology poses risks if supply chain issues arise.

Regulatory changes in Texas could affect Waabi's deployment timeline and costs.

Differentiation

Waabi uses advanced simulation technology, Waabi World, to reduce real-world testing needs.

The company employs a unique AI-first approach, minimizing data and computation requirements.

Waabi's generative AI enhances self-driving technology efficiency and deployment speed.

Upsides

Waabi's partnership with NVIDIA boosts its technological capabilities and market reach.

The $200 million funding round indicates strong investor confidence in Waabi's potential.

Launching in Texas positions Waabi in a favorable tech and logistics environment.

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