Senior Fullstack Engineer

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.

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.

- 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.)

Hi everyone! I’m hiring a caregiver to help me with personal care and phone calls, keep my home tidy, run errands, and drive me places in their car. I am a physically disabled woman who enjoys dancing, sports and great conversation. I love to stay active. I’m hiring a caregivers to help me EITHER Tuesdays or Wednesdays (you can choose which day is best for you), Thursdays, Fridays and Saturdays. Each shift can end at 4:00pm or 4:30pm(you can choose). The schedule follows: Tuesdays(or Wednesdays) - 7:30am until 4:00pm(or 4:30pm) Thursdays - 7:30am until 4:00pm(or 4:30pm) Fridays - 7:30am until 4:00pm(or 4:30pm) Saturdays - 7:30am until 4:00pm(or 4:30pm) To be hired, you need to be able to help me four of the days listed above. Paid training is provided. My caregivers are paid by my insurance. If you are a non-smoker, legal to work in the U.S., compassionate, punctual, able to lift 30 pounds, physically fit, and fluent in English, please apply. Due to the nature of the job, I prefer female caregivers. In your reply, please answer the following questions and share anything else you want me to know: 1. A brief description of yourself 2. Your city of residence 3. Whether you own a car Please do not include your phone number. Due to my disability, all communication will be through email until we meet for an in-person interview. Thank you!

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

Be your own boss! Have your own salon, within a salon! Just bring your tools and products! Well established salon on the busiest street in Braintree has a chair, cart, and lockable large cabinet open for you. Make your own hours and days with your clients, and as much money as you want! You will be given a key to come and go as you please, parking available in a very large municipal parking lot behind the salon or on the street without meters, for you and your clients, and some of the most wonderful, friendly hairstylists you could imagine working with, drama free! Call or text Diana @ 7814241732 or email diboncaldo@gmail.com, and let’s get you on the road to your new wealth! All applicants must possess a Mass. Class 1 cosmetologist or Barber license. First week free!