Data Diagnostics Engineer

Info Way Solutions; Foster City (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Info Way Solutions in Foster City, CA, is seeking a Data Diagnostics Engineer to analyze large-scale fleet and telemetry data, validate diagnostics, and improve detection thresholds.

You'll collaborate with engineering teams and utilize Databricks, Python, and C++ to optimize algorithms and ensure robust validation across CAN, LIN, and Automotive Ethernet networks.

Qualifications

• 3+ years of professional experience in automotive diagnostics.
• Strong knowledge of UDS/ISO 14229, DTC management, and OBD-II.
• Experience with CAN, LIN and Automotive Ethernet networks.
• Proficiency in Python for data analysis and processing of large telemetry datasets.
• Experience with Databricks or equivalent big-data platforms.
• Strong C++ experience.
• Experience with HIL/SIL testing frameworks for diagnostic validation.
• Strong analytical and problem-solving skills.

Responsibilities

• Perform data-driven analysis and validation using large-scale fleet data.
• Leverage Databricks or equivalent platforms to analyze vehicle telemetry.
• Characterize and investigate diagnostic faults.
• Tune diagnostic detection thresholds to improve performance.
• Validate diagnostic algorithms using metrics such as detection rate and false-positive rate.
• Identify trends and patterns within large-scale datasets.
• Support continuous improvement of diagnostic algorithms and systems.
• Work with engineering teams to investigate diagnostic issues and determine root causes.
• Support diagnostic validation through HIL/SIL testing frameworks.

Skills

3+ years automotive diagnostics

UDS / ISO 14229

DTC Management

OBD-II

SAE J1979

CAN

LIN

Automotive Ethernet

Python

Databricks

C++

HIL/SIL testing frameworks

Telemetry data analysis

Problem solving

Tools

Databricks platform

Job description

We are looking for a Data Diagnostics Engineer with strong experience in automotive diagnostics, data analysis, and validation. The ideal candidate will work with large-scale fleet and telemetry data to characterize vehicle faults, optimize diagnostic detection thresholds, validate algorithm performance, and drive continuous improvements.

Key Responsibilities

• Perform data-driven analysis and validation using large-scale fleet data.
• Leverage Databricks or equivalent platforms to analyze vehicle telemetry.
• Characterize and investigate diagnostic faults.
• Tune diagnostic detection thresholds to improve performance.
• Validate diagnostic algorithms using metrics such as:
• Detection rate
• False-positive rate
• Identify trends and patterns within large-scale datasets.
• Support continuous improvement of diagnostic algorithms and systems.
• Work with engineering teams to investigate diagnostic issues and determine root causes.
• Support diagnostic validation through HIL/SIL testing frameworks.

Required Skills & Qualifications

• 3+ years of professional experience in automotive diagnostics.
• Strong working knowledge of automotive diagnostic standards and protocols:
• UDS / ISO 14229
• DTC Management
• OBD-II
• SAE J1979
• Experience with automotive communication networks:
• CAN
• LIN
• Automotive Ethernet
• Strong proficiency in Python for:
• Data analysis
• Data processing
• Experience working with large-scale telemetry datasets.
• Experience with Databricks or equivalent big-data platforms.
• Strong C++ experience.
• Experience with HIL/SIL testing frameworks for diagnostic validation.
• Strong analytical and problem-solving skills.

Preferred Background

• Automotive OEM or Tier-1 experience.
• Experience working with connected-vehicle or fleet data.
• Experience developing or validating automotive diagnostic algorithms.