Senior Big Data Engineer

Headquartered in the United States, TP-Link Systems Inc. is a leading global provider of networking devices and smart home products. Consistently ranked as the world's top provider of Wi-Fi devices, TP-Link is dedicated to delivering innovative solutions that improve people’s lives by offering faster, more reliable connectivity. Serving customers in over 170 countries, we are committed to expanding our global footprint. At TP-Link Systems Inc., we believe that technology has the power to transform the world for the better. Our mission is to design reliable, high-performance products that connect users worldwide to the limitless possibilities of technology. We are driven by our core values of professionalism, innovation, excellence, and simplicity. Our goal is to help clients achieve outstanding global performance and to provide consumers with a seamless, effortless technology experience. Overview: As a Wireless Systems Integration Engineer at TP-Link, you will play a key role in integrating wireless chipsets and optimizing our advanced mesh and IoT networking solutions. You will collaborate with leading chipset manufacturers on product design and development, contributing to the latest Wi-Fi technologies, such as WiFi7 products. Your responsibilities include assisting in the development and optimization of wireless drivers and firmware, as well as developing RF calibration software. Additionally, you will conduct wireless performance testing, refine mesh and configuration features, and work with cross-functional teams to troubleshoot complex issues. This position is vital for enhancing the performance, reliability, and innovation of TP-Link's wireless networking solutions. Key Responsibilities: Participate in the evaluation and selection of various wireless chipsets. Assist with bring-up tasks, including driver adaptation, script adaptation, and functionality adaptation for designated chipsets. Support the implementation of a framework for integrating different wireless chipsets. Assist in the integration, development, and optimization of new Wi-Fi chipsets, OS, wireless drivers, and firmware to ensure reliable performance and connectivity. Stay updated on the latest 802.11 wireless protocols, industry technologies, and standards, helping to develop certification software for compliance. Contribute to the design and implementation of wireless and Mesh-related functionalities, ensuring high-quality code and proper documentation. Develop software for RF calibration to ensure precise and optimal wireless performance. Participate in code reviews, providing feedback to maintain coding standards and best practices. Help design and implement self-testing standards for wireless modules, engaging in the self-testing process to identify and address quality issues during development. Track and resolve basic technical issues related to connectivity, stability, and performance by utilizing various debugging tools (such as Wireshark, Tcpdump, or similar), and collaborate with vendors as necessary. Oversee the software release process and collaborate with on-site factory teams, potentially requiring on-site support to troubleshoot and resolve production issues. Address customer, market, and factory feedback to improve product performance and user satisfaction. Conduct competitive analysis and keep informed about industry trends to assist in product strategy Requirements Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. 2+ years of experience in wireless driver development, specifically in Wi-Fi, Bluetooth, or Thread technologies. Proficiency in C or C++ programming. Demonstrated experience troubleshooting Wi-Fi issues. Proficient in the use of basic wireless debugging tools, including Tcpdump, iPerf, Wireshark and similar tools for performance analysis and troubleshooting. Solid understanding of wireless communication protocols, including 802.11a/b/g/n/ac/ax. Familiarity with advanced wireless communication protocols, such as 802.11be, 802.11ad/ay, and Bluetooth/BLE. Basic understanding of wireless roaming and mesh technologies, such as 802.11k/v/r，802.11s or EasyMesh. Experience with Wi-Fi 6 or Wi-Fi 7 chipsets. Preferred Qualifications: Strong communication and interpersonal skills. Experience in developing and optimizing wireless firmware and drivers. Ability to conduct RF calibration and performance testing. Willingness to travel to factory sites to address production issues as needed. Benefits Salary range: $100,000 - $130,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

Irvine, CA, USA

$100,000-130,000/year

Workable

Machine Learning Engineer, ML Runtime & Optimization

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Fremont, CA, USA

$140,000-250,000/year

Workable

Cloud Software Engineer, FinOps

ABOUT US: Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.  KEY RESPONSIBILITIES: Develop and implement microservices and processes using Java and Spring Boot framework for monitoring, analyzing, and forecasting cloud spending across AWS, OCI, Azure etc. Collaborate with product teams and development teams across the organization to understand cloud usage patterns and identify optimization opportunities; both technical and functional. Provide regular reports and insights on cloud spending trends, optimization efforts, and cost-saving achievements. Work closely with development teams to optimize application performance and reduce cloud costs without impacting service quality. Participate in the design and deployment of highly available and cost-optimized cloud infrastructure solutions on platforms like AWS, Azure, GCP, or OCI. Lead initiatives to educate teams on best practices for cloud cost management and efficiency. Drive a culture of cost-awareness and financial accountability within the tech department. Requirements REQUIRED QUALIFICATIONS Bachelor's degree or higher in Computer Science, Information Technology, or a related field. Minimum 1 years of experience as a developer with cloud engineering. Proven experience as a Java Developer and in-depth knowledge of Spring Boot framework. Experience with database design concepts and data modeling for RDBMS (MySQL) or NoSQL (MongoDB, Cassandra). Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced environment. PREFERRED QUALIFICATIONS Hands-on experience with containerization technologies including Docker and Kubernetes. Proficiency in cloud platforms (e.g., AWS, Azure, GCP, OCI) with a strong focus on FinOps best practices and experience implementing cost-saving solutions. English-speaking environment, bilingual proficiency in Mandarin preferred. Benefits Salary Range: $100,000 - 140,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

Irvine, CA, USA

$100,000-140,000/year

Senior Big Data Engineer

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