APAC
Commodity Manager – Taiwan or China
Job Summary
The Commodity Manager reports to VP Purchasing. The position is a critical part of TELIT’s development process and is responsible for formulating, communicating, and executing the worldwide sourcing strategy. The Commodity Manager leads supplier sourcing / selection activities and successfully manages the supplier relationship to ensure the delivery of high-quality, cost-effective materials to support production requirements. The Commodity Manager has an important role in ensuring that its respective commodity meets the technical and price specifications necessary for TELIT to satisfy its internal and external customers.
Objectives & Responsibilities
- Align the commodity strategy to TELIT’s objectives for sustaining production, new product introduction (NPI), and R&D activities. Ensures TELIT has the right product at the right place and on time with a secure and qualified supply base.
- Develop a commodity technology roadmap that aligns business needs with supplier capabilities.
- Responsible for AVL (Approved Vendors List) for commodity, supplier selection and qualification.
- Maintain supplier scorecard and evaluation.
- Ensure a competitive sourcing environment leading to continuous improvement in quality, cost, service and technology.
- Interface with cross functional teams to assess current and future sourcing requirements.
- Responsible for quarterly executive business reviews of strategic sourcing plan that define, among other things, product roadmaps, supplier capabilities and annual / quarterly strategic business objectives.
- Manage overall supplier relationships including supplier performance, capability development, cost and quality improvements.
- Maintain personal knowledge of market trends including rigorous analysis of market drivers, cost structures and technical improvements.
- Periodic travel to supplier’s manufacturing sites.
- Support annual cost reductions, VMI/JIT, lead-time reductions, favorable payment terms, etc.
- Other ad-hoc duties as assigned by supervisor.
Requirements & Qualifications
- Bachelor’s degree in Business, Operations, Supply Chain Management, Engineering or related field.
- 5 – 7 years’ experience in commodity management, strategic sourcing, supplier management, or supply chain roles within a high-volume manufacturing environment.
- Proven experience managing supplier selection, qualification, performance, and commercial negotiations, with a strong understanding of global sourcing best practices.
- Knowledge of the electronics, semiconductor, cellular telecommunications, or IoT industry, including experience managing commodities such as chipsets, memory, PCB, or related components.
- Strong analytical, problem-solving, and cost management skills, including cost modeling, quotation analysis, supplier evaluation, and data-driven decision-making.
- Excellent communication and stakeholder management skills, with the ability to lead cross-functional initiatives; fluency in English is required and experience with SAP or other ERP systems is preferred.
Preferred Qualifications
- Experience working in a multinational, multicultural organization with global supplier networks.
- Knowledge of international trade practices, contract management, and global supply agreements.
- Experience supporting New Product Introduction (NPI) and product lifecycle management.
- Advanced proficiency in Excel, reporting tools, and business analytics.
Location
On site in Taipei, Taiwan or Shenzhen, China
Customer Service – China
Job Summary
The role is a core operational responsible for end-to-end order fulfillment, customer delivery management, cross functional commercial collaboration, RMA issue closure, process optimization. Customer Serving as the key contact among customers, sales, supply chain, logistics, finance and quality teams, the position focuses on delivery efficiency, customer satisfaction and operational risk control, reporting to CS Manager – APAC.
Objectives & Responsibilities
- Order Fulfillment Management
Manage end-to-end order fulfillment activities, ensuring accurate order processing, on-time delivery, and effective risk management for assigned customers. - Daily Customer Service & Commercial Communication
Communicate and support regional customers and sales inquiries supporting availability checks and sample requests and commercial requirements. - Support RMA Closed-Loop Process
Coordinate customer complaints, returns, replacements, and RMA activities, working with internal teams to drive timely issue resolution and reduce complaint rate and claim risks. - Improve overall order fulfillment efficiency
Monitor key fulfillment KPIs, prepare operational reports, identify process gaps, and drive continuous improvements in service and delivery performance. - Optimize Cross-Functional Collaboration
Coordinate with sales, production planning, warehouse & logistics, quality, finance and other departments to resolve fulfillment bottlenecks, improve processes, and ensure compliance with company policies. - Other ad-hoc duties as assigned.
Requirements & Qualifications
- Bachelor’s degree. Minimum 3+ years customer service / order operation experience or relevant working experience.
- Experienced in mainstream ERP systems (SAP) and office tools; capable of independent data analysis, report compilation and operational problem review.
- Good English reading and writing skills; able to independently communicate with overseas customers and handle English business emails and official documents.
- Meticulous, rigorous and responsible in daily work with a strong zero-error awareness for order and operational management.
- Capable of prioritizing tasks and responding efficiently to urgent and unexpected issues under fast-paced working conditions. Proactive in work execution, able to identify potential risks and problems initiatively and report to supervisors timely for early intervention and resolution.
Preferred Qualifications
- Experience in foreign manufacturing enterprises specializing in electronic components, wireless modules or connectors is preferred.
Location
On site in Shenzhen, China
Edge AI Software Engineer – China
Job Summary
The Edge AI Software Engineer is responsible for driving AI capabilities on resource constrained embedded and edge platforms, enabling the next generation intelligent evolution of wireless communication modules and IoT products. Beyond traditional embedded and cellular module software, this role focuses on deep integration of AI models with embedded platforms, including MCU, RTOS, and Embedded Linux environments, reporting to Software Manager.
This position contributes to the adaptation, optimization, and deployment of AI and large scale models on constrained devices, balancing compute capability, memory footprint, power consumption, real time behavior, and system stability.
In addition, the role drives the adoption and production deployment of LLM based Agent frameworks into daily engineering workflows, improving development efficiency and engineering productivity. The role requires close collaboration with AI algorithm, module platform, system architecture, and product teams to deliver production ready edge AI solutions.
Objectives & Responsibilities
- Adapt, optimize, and deploy AI models on embedded and edge platforms, including model pruning, compression, quantization, distillation, and runtime integration for production use.
- Design and evolve AI model architectures based on business scenarios and deployment constraints, balancing accuracy, latency, memory usage, power consumption, and system stability on resource limited platforms.
- Develop and maintain embedded AI software frameworks and inference pipelines, supporting lightweight runtimes such as TensorFlow Lite, TensorFlow Lite Micro, PyTorch Mobile, ONNX Runtime, and similar engines across MCU, RTOS, and Embedded Linux platforms.
- Lead inference acceleration and performance optimization on embedded systems, leveraging platform capabilities and heterogeneous resources (CPU, DSP, NPU, GPU) to continuously improve edge side AI efficiency.
- Drive the adoption and production integration of LLM based Agent frameworks, embedding them into daily development and engineering workflows to improve productivity, automation, and system level efficiency across the SW department and overall R&D organization.
Requirements & Qualifications
- Bachelor’s degree or above in Computer Science, Artificial Intelligence, Electronic Engineering, Communications, Automation, or related fields.
- Solid experience in machine learning / deep learning projects, with understanding of large models (LLMs) and end to end workflows including training, inference, evaluation, and deployment.
- Proven model engineering experience, capable of advancing models from algorithm validation to deployable, maintainable, and integrable embedded solutions.
- Hands on experience in model structure design and optimization, including pruning, quantization, compression, and distillation based on deployment constraints.
- Practical experience with data preprocessing and feature extraction pipelines, including signal processing techniques such as FFT / STFT, for embedded or edge inference.
- Strong background in embedded AI software frameworks, with experience integrating and adapting at least one of TFLite, TFLite Micro, PyTorch Mobile, ONNX Runtime, or equivalent runtimes.
- Good understanding of MCU, RTOS, and embedded platform architectures, including memory constraints, performance tuning, and power management considerations.
- Proficiency in C / C++, with strong engineering discipline and hands on debugging and optimization experience in embedded environments.
- Good English reading and writing skills, able to read technical documentation and collaborate with global teams.
Preferred Qualifications
- Experience deploying or optimizing LLMs or multimodal models on edge or embedded devices. Experience with Qualcomm based platform will be a strong plus.
- Hands on background in TinyML, edge intelligence, or on device inference projects.
- Experience in one or more of the following areas:
- Lightweight computer vision models on edge devices
- Speech / keyword spotting / time series models on MCU platforms
- Predictive or anomaly detection on embedded systems
- Experience with multi platform inference optimization, including DSP / NPU / GPU acceleration, vectorization, runtime optimization, compiler level or operator level optimization.
- Prior experience with cellular modules, IoT devices, wireless terminals, or embedded products. Understanding of cellular module architecture and modem-host interaction.
- Experience in custom or innovative model architecture design, beyond simply deploying off the shelf models.
- Contribution experience in open-source community.
- Good understanding of the value stream in embedded AI ecosystem.
Location
On site in Dalian, China
Embedded System Software Engineer – China
Job Summary
The embedded system Software Engineer is responsible for system level software design and development across Linux and Android platforms, with a primary focus on Android BSP, Linux system services, native frameworks, and hardware adaptation for wireless and IoT products, reporting to Software Manager.
This role drives end to end system software integration, spanning Android Framework, native services, HAL, Linux user space services, kernel interfaces, and hardware abstraction layers, and plays a key role in enabling productization of embedded and intelligent devices on Android and Linux platforms.
In addition, the role requires hands on experience with MCU based cellular module software development, including RTOS based systems, peripheral integration, and modem interaction, supporting a broad portfolio of IoT, industrial, automotive, and intelligent terminal products.
Objectives & Responsibilities
- Design, develop, and maintain system level software on Android and Linux platforms, including native services, system services, framework extensions, platform middleware, and long term lifecycle support.
- Lead Android BSP and Linux BSP development, covering board bring up, platform adaptation, system configuration, and sustained maintenance across multiple product generations.
- Develop and integrate hardware adaptation layers, including HAL, driver interfaces, and platform abstraction, enabling stable and efficient interaction between system software and underlying hardware.
- Drive MCU based cellular module software development, including RTOS based applications, middleware, peripheral drivers, power management, and interaction with cellular modems and host systems.
Requirements & Qualifications
- Bachelor’s degree or above in Computer Science, Software Engineering, Communications, Electronic Engineering, Automation, or related fields.
- Strong experience in Linux system software development and Android platform internals, with solid understanding of Android Framework architecture and native system components.
- Hands on experience with Android Native Service development, familiar with Binder, AIDL, HIDL, JNI, system services, and related mechanisms.
- Proven experience in Android BSP and/or Linux BSP development, including board bring up, platform porting, and system integration.
- Experience developing Linux user space services, native daemons, and system components, supporting system level integration of hardware capabilities.
- MCU based software development experience for embedded or cellular modules, including RTOS based systems, peripheral drivers, and low power design.
- Solid understanding of hardware–software interaction, including sensors, peripherals, and platform interfaces in Android and Linux environments.
- Experience with system performance profiling and optimization, including analysis of latency, throughput, power, memory, and stability.
- Proficiency in C/C++, with strong competence in Java; experience with scripting languages (e.g., Python, Shell) is an advantage.
- Good English reading and writing skills, capable of reading technical documentation and participating in cross site collaboration.
Preferred Qualifications
- Experience deploying or optimizing AI / ML workloads (including LLMs) on Android, Linux, or embedded platforms, especially on edge devices.
- Background in smart devices, IoT, automotive Android, industrial Linux systems, or embedded products.
- Familiarity with Kotlin, Android platform evolution, VINTF, and system compatibility mechanisms.
- Experience with heterogeneous computing frameworks or AI acceleration middleware.
- Prior exposure to carrier, module, or wireless product environments is a strong plus.
Location
On site in Dalian, China