System Integration Engineer

KBI Staffing; Foster City (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

KBI Staffing is seeking an experience engineer to architect and implement real-time diagnostic monitors in modern C++. You will validate algorithms with HIL/ regression tests, author formal requirements, and drive improvements using large-scale telemetry data.

Qualifications include a 6–8 year track record in diagnostics or vehicle systems, a relevant engineering degree (Master’s preferred), and strong Python/C++ skills. This role is on-site in California, with Fleet Operations collaboration.

Qualifications

• 6–8 years of professional experience in diagnostics, embedded controls, or vehicle systems engineering.
• Bachelor’s degree in Electrical/Computer/Mechanical Engineering, Robotics, Aerospace, or related field; Master’s degree preferred.
• Strong knowledge of diagnostic standards and protocols (UDS/ISO 14229) and bus systems (CAN, LIN, Automotive Ethernet).
• Proficiency with Python for data analysis and visualization with large telemetry datasets.
• Strong C++ development skills in production or safety-critical environments.
• Excellent written and verbal communication skills; able to present analyses to both engineering peers and non-technical stakeholders.

Responsibilities

• Architect and implement real-time diagnostic monitors in C++, including plausibility checks, degradation detection, and fault isolation logic.
• Author formal diagnostic monitor requirements (detection thresholds, debounce strategies, fault response actions).
• Leverage large-scale fleet data to characterize faults, tune detection thresholds, validate algorithm performance, and drive improvements.
• Lead investigation of field-reported faults using telemetry, logged data, and replay tools; identify root causes spanning hardware, firmware, calibration, and environmental factors.
• Produce clear technical specifications, design documents, and service procedures for Fleet Operations technicians.
• Monitor fleet-wide diagnostic KPIs; propose and implement algorithm refinements, new monitors, and process improvements.

Skills

Vehicle Diagnostics Expertise

Data Analysis

C++ Proficiency

Control & Estimation Theory

Problem Solving

Communication

Education

Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related technical field

Master’s degree preferred

Tools

Python

Data bricks

HIL/SIL testing frameworks

Job description

• Diagnostic Algorithm Design & Implementation: Architect and implement real-time diagnostic monitors in modern C++, including signal-level plausibility checks, degradation detection, and fault isolation logic. Perform software unit testing, HIL testing, and automated regression tests to validate diagnostic algorithms prior to final implementation
• Diagnostic Requirement Engineering: Author formal diagnostic monitor requirements (detection thresholds, debounce strategies, fault response actions) traceable to system-level or component level failure modes; verify requirements against fleet and bench data.
• Data-Driven Analysis & Validation: Leverage large-scale fleet data in Data bricks to characterize faults, tune detection thresholds, validate algorithm performance (detection rate, false-positive rate), and drive continuous improvement.
• Fault Troubleshooting & Root Cause Analysis: Lead investigation of field-reported faults using telemetry, logged data, and replay tools; identify root causes spanning hardware, firmware, calibration, and environmental factors.
• Documentation & Knowledge Transfer: Produce clear technical specifications, design documents, and service procedures that enable Fleet Operations technicians to diagnose and resolve faults efficiently.
• Continuous Improvement: Monitor fleet-wide diagnostic KPIs; propose and implement algorithm refinements, new monitors, and process improvements.

Qualifications

• Education: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related technical field. Master's degree preferred
• Experience: 6–8 years of professional experience in diagnostics, embedded controls, or vehicle systems engineering within the automotive, autonomous vehicle, aerospace, or robotics industry.

Required Skills

• Vehicle Diagnostics Expertise: Working knowledge of diagnostic standards and protocols (UDS / ISO 14229, DTC management, OBD-II / SAE J1979) and communication buses (CAN, LIN, Automotive Ethernet).
• Data Analysis: Proficiency with Python for data analysis and visualization; experience working with large-scale telemetry datasets (Data bricks, or equivalent).
• C++ Proficiency: Strong, demonstrable C++ development skills in production or safety-critical environments;
• Control & Estimation Theory: Hands-on experience designing and implementing control algorithms, state estimators, or model-based diagnostic observers.
• Problem Solving: Proven ability to systematically decompose complex, multi-domain problems and drive them to root cause under ambiguity.
• Communication: Excellent written and verbal communication skills; able to present technical analyses and recommendations to both engineering peers and non-technical stakeholders.

Preferred Skills

• Experience with implementing prognostics or vehicle health monitoring
• Experience with HIL/SIL testing frameworks for diagnostic validation.