KEY RESPONSIBILITIES

Vehicle Parameter Data Engineering

• Analyze, define, and optimize vehicle parameters across various subsystems (powertrain, chassis, gateways, etc.)
• Develop models and simulations to evaluate device performance and behavior
• Collaborate with cross-functional teams to validate parameter changes and ensure system integration
• Interpret vehicle data (CAN data) to support end customers

Reverse Engineering

• Perform reverse engineering of vehicle systems, ECUs, and communication protocols
• Develop tools and methodologies for decoding OEM vehicle

• Document findings and translate them into actionable engineering improvements

Database Management

• Design, implement, and maintain scalable databases for vehicle data and engineering records

• Review existing databases for consistency across vehicle types

Automation & Tool Development

• Develop automation scripts and tools to streamline engineering workflows and data processing
• Build pipelines for data ingestion, transformation, and analysis
• Integrate automation into testing, validation, and reporting processes
• Continuously identify opportunities to reduce manual effort and improve efficiency

MUST HAVES

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, or a related field
• 5–10+ years of experience in automotive engineering, embedded systems, or related domains
• Strong experience with vehicle communication protocols (e.g., CAN, LIN, ISO-Kline, J1850)
• Proficiency in programming languages such as Python, C/C++, and C#

 • Experience with vehicle simulation tools (e.g., Vector Canalyzer/Canoe/Candela)
• Solid understanding of database systems (SQL/NoSQL, data modeling)

• Knowledge of machine learning applications in vehicle data analysis
• Experience with automation frameworks and scripting

Proficiency with database manipulation using SQL (Select, Insert, Update, Inner/Outer Joins, etc.), Stored procedures, Triggers

STRONG PLUSES

• Experience with automotive cybersecurity or ECU firmware analysis
• Knowledge of AI LLM environments

KEY SKILLS

• Strong analytical and problem-solving abilities
• Attention to detail with a systems-level mindset
• Ability to work independently and lead technical initiatives
• Excellent documentation and communication skills