Senior Integration Engineer - Algorithms

Posted 16 days agoViewed

💎 Seniority level: Senior, 5+ years

💸 Salary: 145000.0 - 195000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Cavnue👥 101-250💰 $130,000,000 Series A about 3 years agoInformation Services Autonomous Vehicles Software

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:

5+ years of professional experience in software engineering, platform engineering, or integration engineering.

Proficiency in programming languages commonly used for both platform development and algorithm implementation, such as Python and C++

Experience with data analysis, visualization, and simulation tools (e.g., Python libraries like NumPy, SciPy, Pandas; potentially MATLAB)

Experience with cloud platforms (AWS, Azure, or GCP) and core infrastructure services

Experience with containerization (Docker) and orchestration (Kubernetes).

Responsibilities:

Drive production of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve

Engineer data structures, databases, and data lakes for optimal performance and reactivity in a production environment.

Optimize algorithm implementations for computational efficiency, latency, and resource constraints, potentially targeting specific hardware or embedded systems.

Integrate classical algorithm modules (potentially developed in C++ or using specialized libraries) seamlessly into the broader platform architecture and services.

Build and manage scalable data ingestion, storage (e.g., data lakes), and processing pipelines optimized for ML training data and feature engineering

Implement comprehensive monitoring, logging, and alerting for platform health, data quality, and algorithm performance.

Collaborate closely with hardware engineers, software developers, and researchers on sensor selection, system architecture, calibration procedures, and resolving integration challenges.

Maintain clear documentation for algorithms, system designs, integration points, and operational procedures.

Assurance of high-quality code through standards adoption, lifecycle testing, and continuous monitoring for opportunities to improve

Establish low-latency/high throughput APIs on streaming packets of data from the cloud and edge

Contribute to a healthy and positive engineering culture

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