AI Automation Engineer

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd.
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• Develop and maintain data applications using Python
• Design, implement, and optimize MS SQL and PostgreSQL databases.
• Experience with AI and machine learning model (ex. TensorFlow, PyTorch or any usage of LLM model for prompting)
• Support designing and developing automation solution based on STP (Samsung Test Platform) automation framework based in Python
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Optimize database queries for performance and scalability.
• Implement and maintain server (Ubuntu/Linux/Windows) configurations for optimal performance and reliability.
• Analyze and develop automation tools based on internal and external requirements.
• General android knowledge.
• Manage the issues identified by working with other internal and external teams.
• This role conducts basic technical analysis of customer requirements and creates, evaluates, and develops implementation concepts / approaches to meet customer requirements
• Identify the required documentation and process for the project. Assist in creation of design requirements. Assist in analyzing test data and reports to determine if design meets functional and performance specifications. Collaborate with other engineering staff to evaluate interface between hardware and software products. Analyze test data and reports to determine if design meets functional and performance specifications
• Use field test engineering skills and knowledge to test and evaluate new Wireless Products including the verification of product performance of satellite, indoor, and sensor-based positioning in GSM/UMTS/LTE/5G network
• Performs work under time schedules and stress which are normally periodic or cyclical, including time sensitive deadlines, intellectual challenge, some language barriers, and project management deadlines

• 4+ years of software development experience required & Telecommunication protocol background required
• BS in Computer Science, Engineering, Data Science, Analytics or related field is required.
• Previous experience in the Mobile automation test field is required
• Some Field-testing experience for Telecommunication protocol
• Experience dealing with cross-functional teams & customers

• Excellent Programming skills in Python required.
• SQL Server Knowledge & Experience are required
• GitHub, Ubuntu/Linux experience are required.
• Knowledge with automation framework (STP, Robot framework, Selenium, etc.) is required
• Previous experience in MS Visual Studio, Android Studio and MS SQL Server Management Studio (SSMS) required.
• LLM Model knowledge is required.
• Telecom Industry knowledge is desired.
• Excellent communication skills required.
• Motivated self-starter.
• Proactive and dependable work style.
• Capable of collaborating and coordinating with a geographically dispersed team.
• Excellent multi-tasking skills.
• Strong Knowledge of 3GPP, GSMA –IR.92, IR.94 standards, IMS, SIP, SDP, RTP, RTCP protocols, TCP/IP networking
• Demonstrate strong Tool knowledge in QXDM, QCAT, QPST, QMICM, NNEXT, SHANNON DM, N-Trace, Mobile Analyzer, Artemis, Debug Mux, Spy Tracer, Odin, XCAL, Mobile Datum, PC Datum, Wire shark

• Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.