APAC
Buyer Planner – China
Job Summary
The connection between Telit purchasing team and EMS, coordinate with EMS/suppliers/CM to make sure the material supply to meet revenue/business demands.
Objectives & Responsibilities
- Drive EMS for continual improvement in support all SCM related issues.
- Orchestration of the new system implementation that related to the handling of the two EMS.
- Balance EMS excess and shortage with suppliers.
- Handle daily EMS issue for all purchasing related things to support production and planning team to achieve build plan.
- Be the key contact with the EMS to monitor the performance, take or propose due actions to address out of lines issues.
- Relationship management for the EMS to ensure new initials on purchasing could be deployed effective and implemented with full support.
- Other ad-hoc duties as assigned.
Requirements & Qualifications
- Bachelor’s degree in Supply Chain Management, Business Administration, English, International Economics and Trade or a related field.
- 2-3 years of experience in a Buyer Planner role.
- Good negotiation, communication, and interpersonal skills to manage external vendors and internal stakeholders.
- Fluent with written and Oral English and Chinese.
- Proficient in SAP system, MS office, especially excel.
Preferred Qualifications
- Preferably with exposure to EMS/ODM environments in the electronics industry.
- Knowledge in IBP, Qlikview is a plus.
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.
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.
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
Sales Manager – India
Job Summary
We are seeking a dynamic and results-driven Regional Sales / Account Manager to lead and implement sales strategies for IoT solutions in the automotive industry, specifically within the 2-wheeler, 3-wheeler, and 4-wheeler EV segments. The ideal candidate will be responsible for managing existing customer relationships, identifying and developing new business opportunities, and ensuring customer satisfaction by aligning Telit Cinterion’s offerings with client needs.
Objectives & Responsibilities
- Drive revenue growth and customer satisfaction across defined accounts in the automotive IoT sector.
- Expand Telit Cinterion’s presence through strategic customer and partner engagement.
- Deliver on short- and long-term business objectives with measurable outcomes.
- Develop and implement regional sales strategies targeting defined IoT customers and channel partners.
- Identify, pursue, and close new business opportunities in the automotive IoT market.
- Serve as the primary sales and account contact for assigned customers and partners.
- Manage all revenue streams and strategic planning within assigned accounts.
- Build strong relationships with key decision-makers and stakeholders within target accounts.
- Lead and coordinate RFQ/tender submissions, including pricing and risk assessments.
- Collaborate cross-functionally with internal teams to ensure timely resource allocation and customer support.
- Monitor project progress, identify risks, and implement crisis management plans when necessary.
- Provide strategic insight and market intelligence to support internal planning and product development.
- Ensure overall customer satisfaction through recovery plans and ongoing communication.
- Interface with third-party providers to identify collaboration opportunities and synergies.
Requirements & Qualifications
- Bachelor’s Degree in Electronics and Communication Engineering (B.E. – ECE)
- Minimum of 5 years’ experience in IoT or semiconductor industry with a strong background in automotive applications.
- Proven track record in sales, account management, or business development in the IoT sector.
- Strong understanding of EV platforms and connectivity solutions in the 2W/3W/4W automotive segments.
- Exceptional relationship-building, negotiation, and presentation skills.
- Ability to manage complex sales cycles and cross-functional projects.
- Proficiency in coordinating with cross-border teams and managing multiple stakeholders.
- Familiarity with product roadmaps, RFQs, tender processes, and account strategy planning.
Preferred Qualifications
- Experience working with or for major automotive OEMs, Tier-1 suppliers, or IoT solution providers.
- Knowledge of M2M/IoT communication protocols and platforms (e.g., cellular modules, eSIM, connectivity management).
- MBA or equivalent post-graduate qualification is a plus.
- Experience with sales planning tools and CRM systems (e.g., Salesforce).
- Exposure to global or regional markets, especially in APAC/India.
Location
On site in Bengaluru/ Bangalore, India
Senior Hardware Engineer – China
Job Summary
The Hardware System Engineer is responsible for system-level hardware architecture, design, and bring-up of IoT module–based solutions on ARM/RISC-V SoC platforms. Reporting to the Hardware Department Manager, this role provides technical leadership across digital interface integration, power architecture, and end-to-end system definition, ensuring robust, scalable, and production-ready hardware solutions.
The position requires deep hands-on expertise across the full product lifecycle, from schematic and PCB design through system debug, validation, certification support, and manufacturing ramp, while working closely with cross-functional global teams (HW, SW, RF, validation, manufacturing, and suppliers) to deliver high-quality products aligned with business and technology roadmaps.
Objectives & Responsibilities
- Design and integrate M2M module–based hardware platforms covering interfaces, power, and system architecture.
- Develop schematics and high-density PCBs, ensuring SI/PI and ESD/EMI/EMC compliance.
- Perform hardware bring-up, debugging, and validation, supporting EVT/DVT/PVT and production ramp-up.
- Drive system validation and reliability readiness, supporting design verification, compliance testing, and failure analysis, and ensuring smooth transition from development to manufacturing ramp-up and mass production.
- Define and maintain clear, high-quality hardware system documentation, including architecture specifications, design guidelines, schematics reviews, and bring-up/debug records, supporting long-term maintainability and knowledge reuse across the hardware organization.
Requirements & Qualifications
Education & Experience
- Bachelor’s degree or above in Electrical Engineering, Electronics, Communication Engineering, or related fields.
- 10 years of hands-on experience in hardware design for M2M modules, embedded systems, wireless/IoT products, or related communication devices.
Core Hardware Interface Experience (Including but not limited to)
- High-speed digital interface integration, including USB 2.0/3.x, PCIe Gen2/Gen3 (where applicable), SIM/USIM/eSIM, and GPIO, as well as related control, debug, and firmware upgrade use cases.
- Familiarity with high-speed and multimedia interfaces (e.g., MIPI-DSI/CSI, I2S/PCM), with solid signal-integrity awareness for high-speed differential links.
- Strong knowledge of ARM-based system architecture and serial/high-speed interface design rules (e.g., UART, SPI), including timing and protocol constraints.
- Experience with common peripheral and storage interfaces, including I²C/SPI-based peripherals (sensors, PMICs, EEPROM), Ethernet (RMII/RGMII is a plus), and eMMC/SD/TF, as applicable.
- Memory subsystem design and validation experience (DDR, LPDDR, NAND), including bring-up, stress testing, and issue debugging.
- Power architecture and sequencing design expertise, covering VBAT and multi-rail systems, LDOs, buck/boost converters, and key control signals (PWRKEY, RESET, BOOT, watchdog).
- Low power design experience, including sleep/wake up management and power optimization awareness.
- Schematic capture and high density PCB design/layout experience, including impedance control and differential routing; hands on exposure to SI/PI analysis and ESD/EMI/EMC protection.
- Strong bring up, debug, and failure analysis skills, with experience supporting EVT/DVT/PVT and production ramp up using common measurement tools (oscilloscope, logic analyzer, protocol analyzer).
- Clear documentation and cross functional collaboration skills, with the ability to produce structured design and test documentation (schematics, BOMs, design notes, reports) and work closely with RF, software, test, manufacturing, and system teams.
Preferred Qualifications
- Hands-on experience with wireless module platforms and modem/baseband chipsets; solid understanding of 3GPP fundamentals is a plus.
- Experience with thermal design considerations, including component-level and system-level thermal evaluation and mitigation.
- Experience collaborating with ODM/JDM partners and supporting NPI ramp-up and mass production is a plus.
- Experience with cellular/Wi-Fi/BT connectivity products and module integration is highly preferred.
- Proficiency in English (written and spoken) to collaborate effectively in global, cross-functional teams.
Location
On site in Dalian, China
Software Engineer or Senior Software Engineer or Technical Lead – India
Job Summary
The role involves designing, implementing and testing software components in several technology areas, ranging from hardware drivers, system management, modem application and production.
Objectives & Responsibilities
- Design, implement and test software in multi-platform embedded system
- Work on complex issues whose solution will require in depth analysis and high problem solving attitude
- Collaborate with the rest of the team to achieve the team goals
- Sharing knowledge, opinion and suggestion in order to continuously improve the quality of the work and of the products
Requirements & Qualifications
- Deep knowledge of C and relative developing environment tools (e.g. compilers and debuggers)
- Knowledge of main commercial RTOS and multitasking development
- Experience in standard peripheral (I2C, SPI) driver development
- Experience in cellular technologies
- Experience in TCP/IP, FTP, HTTP stack and secure socket, secure connection are a plus
- Good knowledge of Git and/or any other configuration management system
- 0-4 yrs experience for software engineer
- 4-8 years of industry experience satisfying the above requirements for senior software engineer
- 8+ years of industry experience satisfying the above requirements for technical lead
Location
On site in Bengaluru/ Bangalore, India