Software Algorithm Engineer

We are looking for a Software Algorithm Engineer to design, implement, and maintain robust algorithmic systems in production environments. This role focuses on high-quality software engineering combined with algorithmic thinking, working on real-world data at scale.

The position requires end-to-end ownership — from problem definition and algorithm design to production-grade software, deployment, and long-term maintenance.

The main task is to contribute to the software infrastructure that enables autonomous driving, from perception to planning.

Requirements:

Strong software engineering skills with Python
Academic degree in one of the following: CS, DS ,SW / Electrical Eng, or similar.
Experience building production-quality systems, with code versioning and releases.
Solid algorithmic thinking and data analysis skills.
Experience working with large datasets and complex data pipelines.
Strong debugging, profiling, and performance optimization skills.
Ability to work independently and make technical tradeoffs.
Familiarity with testing frameworks, CI, and deployment workflows.

Preferred / Nice to Have

Experience with computer vision or ML systems in production.
Experience with cloud infrastructure, batch systems, or containerization.
Experience in autonomous driving, robotics, or real-time systems.
Experience with Simulation environments.

Responsibilities:

Software Engineering

Design modular architectures that separate algorithms, data, and infrastructure
Build reusable components, libraries, and internal tools
Perform code reviews and enforce engineering best practices
Process large-scale datasets (high-resolution images, video, sensor metadata, geospatial data )
Optimize runtime, memory usage, and I/O performance

Algorithmic Systems Development

Design and implement algorithmic pipelines (from DL models to classic signal processing algorithms) integrated into production software.
Translate algorithmic ideas into reliable, scalable, and maintainable code.
Evaluate algorithm performances using quantitative metrics and visualization tools.
Ensure reproducibility across development, testing, and different production environments

Collaboration & Ownership

Work closely with other engineers, researchers, and product teams
Take full ownership of components throughout their lifecycle
Contribute to technical design discussions and architectural decisions