Engineer- Software, AI and Data Analytics

Job Purpose

SoftwareAI & Data Analytics  Engineer - develop data-driven software solutions that support engineering analysis and decision-making. This position will design, build, and maintain full-stack applications and data processes used to collect, store, process, visualize, and analyze information from sources such as wind tunnel testing, computational fluid dynamics, and track operations.

Key Accountabilities Convert abstract requests from the engineering group for data analysis software solutions into concrete, full-stack implementations while adhering to SWE best practices.

Produce material based on stakeholder requests outlining expected project outcomes and timeline. Propose and implement new methods of data analysis and visualization, including wind tunnel, CFD, and track correlation or others.

Troubleshoot, debug, and upgrade existing software. Participate in code reviews to maintain quality and share knowledge. Support and develop existing processes to improve code quality, software robustness or flexibility, improve software efficiency and efficacy, or increase insight gained from data analytics software products.

Create and maintain software documentation, document and report project and personal status.

Explore and develop solutions to new problems facing the team, helping to expand the frontier of the team’s technical capabilities.

Support test sessions (wind tunnel and track etc.) with data collection, processing, quality checks, and reporting.

Qualifications, Experience, and Skills Bachelor’s degree in Computer Science, Aerospace Engineering, Mechanical Engineering, or a related field, or five years of relevant professional experience.

One to three years of experience using programming, mathematical, or statistical methods to analyze data or improve operational efficiency.

Experience with full-stack software development, object-oriented design, databases, and data management.

Proficiency with Python and experience with data analysis or visualization tools such as MATLAB, Power BI, Tableau, or Databricks.

Familiarity with frontend frameworks such as React or Angular and RESTful APIs.

Experience with version control, automated testing, and CI/CD practices.

Strong technical writing, communication, project coordination, and problem-solving skills.

Ability to work collaboratively and effectively in a fast-paced engineering environment.

Experience with C#/.NET, Python, and Type Script.

Knowledge of Apache Kafka, Apache Spark, or similar data engineering technologies.

Experience with Microsoft SQL Server, Cosmos DB, MariaDB, or comparable database platforms.

Familiarity with Microsoft Azure, AWS, or Google Cloud.

Experience with motorsports, aerodynamic testing, wind tunnel data, CFD post-processing, aero maps, or track data systems.

Decisions Expected Determine the appropriate technical approach and software solution based on engineering requirements, data needs, and project objectives.

Make recommendations on software architecture, tools, and technologies to improve scalability, reliability, and maintainability.

Prioritize technical solutions and improvements that enhance data processing, analysis, visualization, and overall engineering efficiency.

Working Conditions Physical Demands Requirements:

Bending body downward and forward by bending spine at the waist while working.

Bending legs at knee to come to a rest on knee or knees to work on close to the groundwork.

Crawling.

Moving about on hands and knees or hands and feet to work underneath suspended vehicles/engines/equipment to diagnosis problems and or remove replace parts.

Standing for sustained periods during work or events.

Sitting. Extensive travel and long travels.

Walking. Moving about on foot to accomplish tasks (particularly walking…