System Integration Engineer

Tata Technologies Ltd.; Foster City (CA); On-site; USD 110,000 - 170,000; Full time

Job summary

Tata Technologies Ltd. in Foster City, CA is seeking a Vehicle Systems Integration Engineer, Diagnostics to own design, development, and validation of real-time diagnostic algorithms for vehicle-centric systems.

You will work at the intersection of hardware, firmware, and autonomy software, collaborating with teams across Vehicle System Engineering, Firmware, and Fleet Operations to deliver robust diagnostics.

Qualifications

• Bachelor's degree in Electrical/Computer/Mechanical Engineering, Robotics, Aerospace, or related field.
• Master's degree preferred.
• 6–8 years of professional experience in diagnostics, embedded controls, or vehicle systems engineering.
• Strong C++ development skills in production or safety-critical environments.
• Knowledge of diagnostic standards (UDS/ISO 14229) and vehicle buses (CAN/LIN/Automotive Ethernet).
• Python data analysis and experience with large telemetry datasets.

Responsibilities

• Design and implement real-time diagnostic monitors in C++, with plausibility checks and fault isolation.
• Engineer diagnostic requirements: thresholds, debounce strategies, traceable to system-level failure modes.
• Data-driven validation: use Databricks to characterize faults and tune thresholds.
• Lead root cause analysis of field faults using telemetry and logs.
• Produce technical specs and service procedures for fleet operations.
• Monitor KPI and implement algorithm refinements and new monitors.

Skills

C++ proficiency

Diagnostics

Control & estimation theory

Python data analysis

Embedded systems

System integration

Education

Bachelor's degree in Electrical/Computer/Mechanical Engineering or related field

Master's degree preferred

Tools

MATLAB/Simulink

Databricks

HIL/SIL testing frameworks

Job description

Vehicle Systems Integration Engineer, Diagnostics

experience-6 8 Year

Foster city, CA onsite

Systems Integration Engineer, Diagnostics The Vehicle System Integration develops requirements for the hardware systems, power distribution, network topologies, and diagnostic capabilities that enable a world-class autonomous vehicle architecture. As a Diagnostics Engineer , you will own the design, development, and validation of diagnostic algorithms for the vehicle- centric systems, ensuring robust fault detection across all operating conditions. This role demands deep expertise in control theory, and strong skills in developing production-quality C++ software. You will work at the intersection of hardware, firmware, and autonomy software to deliver diagnostics that keep our fleet safe and serviceable at scale. You will collaborate closely with cross-functional teams in Vehicle System Engineering, Systems Design & Mission Assurance, Firmware, Fleet Operations, and Vehicle Program Management to translate system-level requirements into real-time onboard diagnostic monitors.

Key Responsibilities

• 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 Databricks 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
• 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
• . 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 (Databricks, or equivalent).
• 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 functional safety standards (ISO 26262) and FMEA / FTA methodologies.
• Familiarity with model-based development tools (MATLAB/Simulink) for algorithm prototyping and code generation.
• Experience with HIL/SIL testing frameworks for diagnostic validation.