[Remote] Senior / Staff Research Engineer, Simulation Agents at Waabi

San Francisco, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Autonomous Driving, AI, TechnologyIndustries

Requirements

Experience with imitation learning, reinforcement learning, planning, and/or robotics
Expertise with ML frameworks such as PyTorch, TensorFlow, or Jax
Proven ability to take research from prototype to production systems
Excellent software engineering skills with experience building scalable ML systems
Open-minded and collaborative team player with willingness to help others

Responsibilities

Architect robust and scalable training and evaluation frameworks for IL/RL-based traffic agents
Design and implement scalable data pipelines for generating large-scale training datasets
Productionize cutting-edge research into robust, scalable systems in Waabi World, our simulation platform
Contribute to technical direction and strategy for realistic traffic agents and scenario generation

Skills

Key technologies and capabilities for this role

Imitation LearningReinforcement LearningPyTorchTensorFlowJaxPlanningRoboticsML FrameworksData PipelinesSoftware EngineeringSimulation

Questions & Answers

Common questions about this position

What is the salary range for this Senior/Staff Research Engineer position?

The US yearly salary range is $158,000 - $269,000 USD, in addition to equity incentive awards and an annual performance bonus.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this Senior/Staff Research Engineer role?

Required skills include experience with imitation learning, reinforcement learning, planning, and/or robotics; expertise with ML frameworks such as PyTorch, TensorFlow, or Jax; proven ability to take research from prototype to production; excellent software engineering skills for scalable ML systems; and being an open-minded, collaborative team player.

What is the company culture like at Waabi?

Waabi seeks diverse, innovative, and collaborative candidates who want to positively impact the world, with a world-class multidisciplinary team of research scientists and software engineers focused on cutting-edge self-driving technology.

What makes a strong candidate for this role?

Strong candidates have experience taking research to production, expertise in ML frameworks and scalable systems, plus bonus qualifications like a Masters/PhD, top publications, self-driving experience, or Rust/C++ skills.

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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