Software Engineer

Name: RiseMe
Availability: InStock

San Francisco, California, CanadaOnsiteFull Time$127,000–$223,000 /yrPosted 2 months ago

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Role summary

The Evaluation Algorithms team is seeking a Software Engineer to build algorithms and tooling for evaluating the performance of their autonomy system. This role involves developing infrastructure and pipelines for complex statistical analyses, implementing metrics for model performance understanding, and creating a high-availability query service for low-latency analysis of large datasets. The engineer will work with data from real-world driving and a high-fidelity simulator, champion engineering excellence, and contribute to project roadmap planning. A Bachelor's or Master's degree in a technical field with at least 2 years of industry experience, proficiency in Python, and experience with data processing, distributed computing, and scalable web services are required.

### Who you are
- MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code
- Open-minded and collaborative team player with the willingness to help others
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
- Experience in data processing pipelines, ETL pipelines, distributed computing
- Experience in building highly reliable and scalable web services
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices
- Experience in evaluating complex ML models or self-driving software stacks

### What the job involves
- The Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy system’s performance across all development stages
- In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles!
- Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale
- Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation
- Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data
- Work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator
- Champion engineering excellence, ensuring high-quality, well structured and tested code
- Assist in project roadmap planning, prioritisation, and delivery

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