About the role

Aplyr's Quick Take

This role is for a Senior/Staff Software Engineer focused on building and optimizing machine learning data pipelines for autonomous driving technology. You'll work closely with a team of scientists and engineers to tackle complex data challenges and improve model performance. It's primarily an individual contributor role with some project management responsibilities.

Good fit

Ideal candidates have 4+ years of experience in software engineering, particularly in machine learning and data processing. A collaborative mindset and strong coding skills in Python are essential, along with a passion for solving tough problems in autonomous technology.

Worth noting

The company is rapidly growing and emphasizes a diverse and innovative team culture. There may be opportunities for mentorship, which could appeal to those looking to develop leadership skills.

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 Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles.

You Will..

- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.

- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.

- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.

- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.

- Help drive project roadmap planning, prioritization, and delivery.

Qualifications:

- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.

- Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.

- Hands-on experience building distributed ETL and data processing pipelines.

- Direct experience managing ML pipelines, including dataset management, dataloading, and optimization.

- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.

- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.

Bonus Points:

- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.

- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).

- Experience solving data challenges specific to autonomous driving.

- Familiarity with linear algebra (projections, transforms) and 3D geometry.

- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).

Skills & Tags

python go aws machine learning ai ios data design

Aplyr's read

Waabi is advancing autonomous vehicle technology with a focus on AI-driven safety and efficiency, attracting engineers and policy experts to innovate in transportation.
Synthesized from recent postings & public sources

What's promising

•Waabi's focus on AI solutions aims to significantly enhance vehicle safety.
•The company is actively hiring specialized roles, indicating growth and investment in talent.
•Waabi's work in autonomous vehicles could revolutionize transportation efficiency.

What to watch

•Autonomous vehicle technology faces significant regulatory and public acceptance hurdles.
•The industry is highly competitive, with established players like Waymo and Tesla.
•Developing reliable AI for autonomous driving is a complex and lengthy process.

Why Waabi

•Waabi emphasizes AI-driven solutions specifically for safety in autonomous vehicles.
•The company is building a diverse team, from engineers to policy experts.
•Waabi's approach integrates cutting-edge AI with practical vehicle testing and operations.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Waabi

Waabi

waabi.ai

View company

Waabi is a technology company focused on developing artificial intelligence solutions for autonomous vehicles, aiming to improve safety and efficiency in transportation.