Systems Engineer

• ECU System level requirements analysis and management according customer spec.
• Complete CAN and diagnosis specifications based on the customer requirements
• Coordinate software release and system test with software team and system test team
• Debugging on bench to confirm issues from customer and internal tests.
• Debugging service in vehicle to customer
• Following ZF's defined development process.
• Perform system architecture design

System Engineer

• Assist in managing client/product delivery and release schedules for projects, system changes, service requests, and mandatory releases in strict accordance with client SLAs.
• Hands-on configuration of proprietary software systems developed by the company according to requirements documented or reviewed by the Platform Product Owner.
• Review client/product requirements analysis and High-Level Test Cases to prepare, execute, and verify functional and regression test cases.
• Act as the central point of contact (via email, teleconferencing, and on-site workshops) for the delivery of specific changes and software releases.
• Liaise closely with Client Delivery, Technical, and Support teams to ensure seamless compliance with client business requirements and technical specifications.
• Evaluate large datasets in conjunction with the product to influence business decisions across departments.
• Deliver software releases to clients, provide hands-on support during implementation, and lead on-site support, training sessions, or workshops as requested.

Business Systems Analyst

• Build and operate backend systems that serve AI-powered insurance workflows in production.
• Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic.
• Build inference pipelines for LLM-based and AI-assisted automation systems.
• Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing).
• Design stable service boundaries between backend systems, ML components, and product APIs.
• Implement observability: logging, metrics, tracing, alerting, and incident response workflows.
• Debug production issues across distributed AI systems and resolve root causes.
• Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features.
• Continuously improve system reliability, scalability, and performance.

AI Backend Engineer – AI Workflow Systems

• Design and build platform components that support AI-driven workflow automation systems.
• Develop shared infrastructure and services for workflow orchestration, state management and execution tracking.
• Build internal platform tools that improve engineering velocity and system consistency.
• Improve APIs, service frameworks and backend standards used across multiple engineering teams.
• Design systems for workflow visibility, tracing, monitoring and operational control.
• Enhance reliability, scalability and performance of core platform services.
• Work closely with product, engineering and operations teams to standardize workflow execution.
• Improve deployment, configuration and runtime management of distributed systems.
• Reduce duplication across services by building reusable platform capabilities.
• Continuously improve platform architecture to support long-term system growth and complexity.

Platform Engineer – AI Workflow Systems

• Overall technical leadership and responsible for realization of full systems product release to ensure quality and compliance
• Define the system imaging performance targets (spatial resolution, low‑contrast detectability, noise texture, CT number accuracy, temporal resolution) based on clinical use cases and regulatory benchmarks
• Develop and maintain physics‑based models of the imaging chain
• Establish objective and subjective image quality metrics and standard operating procedures for system evaluation
• Design and execute phantom‑based and cadaver/clinical studies to validate algorithm performance
• Collaborate with clinical partners and radiologists to collect feedback and iteratively improve image appearance and diagnostic value
• Perform system trade‑off analyses and document design rationales
• Translation of user and business needs into product requirements
• System decomposition and allocation of derived IQ related requirements to component level
• Trade-off of system design specifications and interfaces, determine feasibility of potential solutions, and leading technical & design reviews
• Managing complexity of products or systems in multi-disciplinary setting
• Leads and influences others and drives design for quality
• Makes a fundamental contribution to the innovation of products or processes

Advanced System Engineer

• Overall technical leadership and responsible for realization of full systems product release to ensure quality and compliance.
• Define the system imaging performance targets (spatial resolution, low‑contrast detectability, noise texture, CT number accuracy, temporal resolution) based on clinical use cases and regulatory benchmarks.
• Define the system‑level software architecture for CT scanners, including real‑time control, data acquisition, image reconstruction, post‑processing, and hospital integration (DICOM).
• Define failure handling and recovery strategies for software‑detectable faults (e.g., lost sync, DAS buffer overrun, communication timeouts).
• Translate clinical and product requirements into detailed software system specifications, interface contracts, and performance budgets (latency, throughput, uptime).
• Lead trade‑off analyses for software partitioning: on‑scanner vs. offline processing, CPU vs. GPU vs. FPGA, real‑time OS vs. general‑purpose OS.
• Develop and maintain physics‑based models of the imaging chain: X‑ray spectrum, detector response (including photon‑counting or integrating modes), scatter, beam hardening, and electronic noise.
• Establish objective and subjective image quality metrics (MTF, NPS, contrast‑to‑noise ratio, artifact severity scales) and standard operating procedures for system evaluation. Design and execute phantom‑based and cadaver/clinical studies to validate algorithm performance across patient sizes, anatomical regions, and scan protocols.
• Collaborate with clinical partners and radiologists to collect feedback and iteratively improve image appearance and diagnostic value.
• Perform system trade‑off analyses (dose vs. resolution, scan speed vs. image noise, slice thickness vs. artifacts) and document design rationales.
• Translation of user and business needs into product requirements.
• System decomposition and allocation of derived IQ related requirements to component level and related traceability.
• Trade-off of system design specifications and interfaces, determine feasibility of potential solutions, and leading technical & design reviews.
• Managing complexity of products or systems in multi-disciplinary setting, within scope of a single business.
• Leads and influences others and drives design for quality and is closely involved in the program of the applicable business.
• Makes a fundamental contribution to the innovation of products or processes.
• Solves fundamental problems on the basis of thorough (unique) knowledge in the professional field.
• Generates initiatives with regard to technological improvements, and performs future-oriented studies in dialogue with other specialists.
• Makes substantial contribution to the innovation process and communicates new insights to own business.
• Specialist in business and solves complex problems, where responsible for the overall concept at systems level. Closely involved in policy preparation.
• SW/IQ defect management

Systems Engineer jobs in China

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System Engineer

Business Systems Analyst

AI Backend Engineer – AI Workflow Systems

Platform Engineer – AI Workflow Systems

Advanced System Engineer

Senior Systems Engineer – SW/IQ