Staff Engineer, OBD

Carlsbad, CA, US • Posted 17 days ago • Updated 7 hours ago
Full Time
On-site
USD $122,343.00 - 180,601.00 per year
Fitment

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Job Details

Skills

  • Data Engineering
  • Collaboration
  • System Integration
  • Reverse Engineering
  • Database Administration
  • Workflow
  • Data Processing
  • Testing
  • Reporting
  • Electrical Engineering
  • Mechanical Engineering
  • Computer Engineering
  • Automotive Engineering
  • Embedded Systems
  • ISO 9000
  • Programming Languages
  • Python
  • C
  • C++
  • C#
  • CANalyzer
  • CANoe
  • NoSQL
  • Data Modeling
  • Machine Learning (ML)
  • Data Analysis
  • Scripting
  • Database
  • SQL
  • Stored Procedures
  • Cyber Security
  • Firmware
  • Artificial Intelligence
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Attention To Detail
  • Documentation
  • Communication

Summary

Responsibilities

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

Qualifications

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

Market Minimum

USD $122,343.00/Yr.

Market Maximum

USD $180,601.00/Yr.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: scomtech
  • Position Id: 93b4a8190314b7448ec11c6482d0650b
  • Posted 17 days ago
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