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We are seeking a highly skilled Payroll Technical Consultant with extensive experience in US Payroll. The ideal candidate will have a strong background in ABAP HR code development and a deep understanding of Core HR and Payroll modules. This role involves designing and developing custom HR-ABAP programs, working with PNP/PNPCE logical databases, and enhancing payroll processes. • Experience: 9-15 years in payroll technical consulting. • ABAP HR Development: Proficient in ABAP HR code development. • Custom Programs: Design and write HR-ABAP custom programs; modify standard programs as needed. • Database Programming: Experience with PNP/PNPCE logical databases and cluster programming for Core HR, payroll, and time management. • Core HR & Payroll Knowledge: In-depth knowledge of Core HR and Payroll modules, including schemas, functions, and operations. • HR Tables/Clusters: Familiarity with HR, Core HR, and Payroll tables/clusters; experience in developing reports/BDC in the HR module. • Payroll Processes: Strong experience in Core HR and payroll processes, including preparing payroll reports. • Reports & Interfaces: Design and develop reports, interfaces, info types, and enhancements. • Team Development: Guide and develop team members to enhance their technical capabilities and productivity. • Forms Experience: Hands-on experience with SMART forms and HR forms. • User Exits & BAPIs: Proficient in user exits, BADi, and BAPI. • OOPS Concept: Strong understanding of object-oriented programming concepts. • Technical Documentation: Experience in requirement gathering, designing technical documents, unit testing, and code review. • Qualifications: • Bachelor’s degree in computer science, Information Technology, or a related field. • Proven experience in payroll technical consulting with a focus on US Payroll. • Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills.

Auto Body Technician – Competitive Pay Company: R&D Auto Body Location: [379 bowdoin st Dorchster MA 02122] Phone: 617-506-8289 R&D Auto Body is looking for an Auto Body Technician to join our team. We offer competitive pay and a professional work environment. Requirements: • Some experience in auto body repair/preparation • Ability to work as a team and follow repair procedures • Responsible and motivated to learn and grow If you have auto body repair experience and want to work with a great team, we want to hear from you! 📞 Call us today at 617-506-8289 to apply.

- Design, build, test, and deploy highly scalable customer facing RESTful APIs that can handle traffic and mobile apps - Collaborate with Product and Engineering leadership to translate business vision into technical design, code and test suite - Partner with other engineers to produce high quality software - Gain a broad understanding of the system/domain and upstream/downstream dependencies - Stay current on technologies and application development best practices Requirements - You have 8+ years of experience as a back-end developer building and deploying RESTful APIs and integrations using Java/Groovy, SpringBoot, Spock, JUnit, Gradle/Maven, SQL/NoSQL databases, MQ, Kafka, GIT - You have a solid understanding of RESTful APIs - You are an expert in building cloud-native applications - You are passionate about developing and maintaining high quality software - You understand how web sites and mobile apps interact with backend APIs - 3+ years working in an agile team - Understanding of CI/CD, Jenkins, JMeter/Gatling, WireMock - Atlassian software development and collaboration tools (BitBucket, Jira etc.)

At Cimbali Group, we support some of the world’s finest coffee equipment through expert technical training, dedicated customer service, and high-impact field support. We’re currently looking for a Technical Service Trainer to join our team. This role reports directly to the Director of Service. We support some of the world’s finest coffee equipment through expert technical training, dedicated customer service, and high-impact field support. . What We’re Looking For Solid electronic background with knowledge of espresso machines and grinders Service mindset with strong communication skills—verbal, written, and relational Ability to analyze, report, and respond to technical performance data Comfortable training others and supporting equipment in the field Microsoft Office proficiency; CRM/helpdesk experience preferred Self-driven, adaptable, and ready to contribute to a collaborative team Availability for domestic travel; valid driver’s license and passport Bonus: barista experience or coffee industry knowledge The main responsibilities will include: Delivering technical training on our full product portfolio (traditional espresso, super-automatics, grinders) Supporting sales, installations, and service escalation visits across North America Managing warranties and coordinating preventative/predictive maintenance plans Maintaining strong relationships with distributors and service partners Troubleshooting remotely via phone and support platforms Tracking activities, warranties, and performance data in our CRM/helpdesk tools Attending trade shows, conferences, and industry events as needed (30% to 50% travel monthly) Why Work With Us? Competitive salary ($65K–$75K+ depending on experience) Health benefits, 401(k), and paid vacation/holidays Opportunities to travel and train with our international HQ team Exposure to cutting-edge coffee tech—and yes, plenty of great espresso A chance to help shape the service experience in a fast-growing organization

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

We are developing next-generation AI platforms that fuse finance and learning — built to deliver real execution and measurable results for businesses and professionals. We’re seeking visionary technical builders to join as Co-Founders / Founding Engineers at the pre-launch stage. This is not a traditional job — it’s an opportunity to shape a first-of-its-kind startup from the ground up. We’re especially interested in entrepreneurial talent with expertise in: • AI/ML Engineering • Full-Stack Development • Cloud Architecture • UI/UX Design Compensation: Equity-based founding role (with flexibility to discuss minimal salary support if needed). To apply: Please reply with a short note on your background, your key technical skills (e.g., AI/ML, full-stack, cloud, UX/UI), and attach your resume/CV. Selected applicants will then receive more details, including company information and a formal application link.