Staff Engineer, OBD

CalAmp•Carlsbad, CA

1d•$122,343 - $180,601

About The Position

This role focuses on Vehicle Parameter Data Engineering, Reverse Engineering, Database Management, and Automation & Tool Development within the automotive domain. The engineer will be responsible for analyzing and optimizing vehicle parameters, performing reverse engineering of vehicle systems, managing databases for vehicle data, and developing automation tools to streamline workflows.

Requirements

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 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

Nice To Haves

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

Responsibilities

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
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
Design, implement, and maintain scalable databases for vehicle data and engineering records
Review existing databases for consistency across vehicle types
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