Senior .Net Developer - Baltimore, MD

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

POSITION SUMMARY: This position shares the responsibility of maintaining the multimedia and audiovisual equipment installed in university classrooms and teaching spaces, meeting rooms, office locations, and public presentation venues. This includes preventative maintenance work as scheduled, maintenance of equipment (break/fix) and some installation work as required. This position will also be responsible for videotaping classes or events on campus as scheduled. Some overtime is required in this position, as well as the need to work alternate shifts when needed. RESPONSIBILITIES: Provide technical service and support to classrooms and meeting spaces equipped with AV Media systems Answer phone calls from classroom spaces and provide remote assistance as possible Dispatch to classroom spaces to provide immediate onsite service as required Document service issues and problem resolutions in the service workflow system Accomplish preventative maintenance tasks as assigned, usually twice per year Installation of equipment as needed, Projectors, LCD panels, rack equipment such a, Switchers Some responsibilities associated with configuration of computers in order to project properly, both PC and Mac System Commissioning and Training/Instruction in the use of the MM and AV equipment Perform final testing and commissioning of newly installed systems, including the shared responsibility for developing training materials This position will be responsible for training faculty and staff members on the proper use of the systems installed in classrooms and meeting spaces; this includes projection systems, the use of AV control systems, video conferencing and/or Skype, and some lecture capture. Videographer services and general event support Videotaping services as requested, class lectures, seminars, events during the regular academic day, as well as after hours Timely processing of the video as required to provide the requested format/copies for the customer Set up / take down of equipment in support of events, including Board of Trustees meetings. QUALIFICATIONS: Thorough knowledge of the operation of multimedia and a/v system equipment, including: Projectors and/or LCD panels Room sound systems (Playback and Live Audio) Media playback AV Control systems (AMX and Crestron) Video Switching Good computer skills; configuration settings, extending displays to projector, etc. (Microsoft Windows and MacOS) Ability to analyze and solve complex problems, troubleshooting equipment failures Ability to perform under limited supervision. Independent problem-solving ability is critical Ability to perform in stressful situations while supporting events with several moving pieces Excellent interpersonal, analytical, problem solving, organizational, and communication skills Familiar with the basic use of NLE (Non-Linear Editing) systems; preferably Final Cut Familiar audio systems: mixing consoles (analog and digital); wireless microphones Required: Must have a valid Driver's License and be able to produce a driving record with a minimum of 3 years of driving history in good standing EDUCATION & EXPERIENCE: High School diploma or equivalent Some college or professional trade training in electronics or audiovisual systems preferred 2+ years of technical service responsibilities associated with multimedia and/or a/v systems WORK HOURS: Full-time, non-exempt position Monday - Friday, 11:00 a.m. - 7:30 p.m.; 7.75 hrs./day; 38.75 hrs./week SALARY STRUCTURE: Pay Grade 5 (Hiring Range $19.72 to $26.13 per hour)

Hiring: Seeking a live-in housekeeper responsible for laundry, cooking, and cleaning. Must know how to drive and be skilled in Northern Chinese cuisine, including handmade dumplings, buns, and similar dishes. Pay is $160 per day, 6 working days per week. Employment authorization required. Job location is Miami, with airfare covered. Contact number: 6269771733 9296267666 WeChat ID: zxm6269771733

Hiring: Glass factory hiring general laborers with accommodation provided and lunch included, $180/day for 10 hours of work daily. Age between 35–55 years old, able to work 30 days per month. Worker's card required. Work location: Decatur, Illinois. Contact number: 6268005678 9296267666 zxm6269771733

Hiring: Warehouse is hiring workers to assemble robot racks. Working hours are from 8:00 AM to 6:00 PM with break time included. Pay is $180 per day. Job location is Industry City, Los Angeles. Contact number: 6269771733 9296267666 WeChat ID: zxm6269771733

Title – ETL Developer Location – Portland, OR Position – 4 months (will extend for another 6 months) Rate – $Open Requirements Roles & Responsibilities ETL Developer will participate in all phases of project implementation and continued support of Oracle Business Intelligence Enterprise Edition (OBIEE) for the enterprise. Demonstrated core competency using DataStage and Appworx with proficiency having used it in an OBIEE / OBIA preferred. This role will interface directly with clients as well as IT staff in order to gather requirements to support the creation and maintenance of OBIEE artifacts. Candidate must have strong report and DataStage mapping development, DataStage / Appworx workflow run capabilities and experience with OBIEE/DataStage design and implementation. Candidate must also have experience with Informatica mapping development and DAC workflow scheduling within OBIEE design. Required Skills: CCNA, DLP, Symantec Bluecoat Proxy, Netskope Benefits Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!