Senior Lead React Developer

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.

**Oxi Fresh Carpet Cleaning is looking for five full-time technicians and five part-time technicians.** www.oxifresh.com Position Details: 1) Paid Training: $12/hr 2) Bi-Weekly Pay: Oxi Fresh technicians make an average of $27-$32/hour (based on commissions) OR have the option to make a flat rate of $20/hour. *Tips: +$20/ job (avg.) [~2-5 jobs /day] *Review Bonus: +$25/job for EACH positive review you receive (Yelp!, Angie's List, Google+, etc.)[2-5 jobs /day] 3) Full-time technicians receive: a company car . *Potential technicians must provide their driving record (0 points). Please purchase your record online and email your driving record and proof of driver's license to be considered for initial training. *We don't need your resume. We will train you. *Don't forget to provide your phone number so we can follow up with you. *Flexible schedules are available. *Experience is not/NOT necessary. A great attitude is required. *Company Details: Oxi Fresh is a revolutionary carpet cleaning company that is committed to being green. Our carpet cleaning technology creates a powerful, oxygenated cleaning system that breaks down spots so that they can be effectively removed from the carpet pile. Plus, our green carpet cleaning is safe for children and pets, leaves no sticky residue, and has a fast one-hour dry time! With our standards of excellence, our carpet cleaners wouldn't accept anything less. *Application Details: To be considered please email: OxiFreshHiring at gmai email services with your driving record and driver's license (to prove you are still licensed to drive), and phone number then call Maruska at (240)481-1887 to follow-up. *Position begins immediately after initial one to two day training (training day paid upon hire).

- 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.)

Ruan is hiring Class A CDL drivers based in Landover, MD, to support our dedicated customer hauling grocery in a reefer trailer. Call 1-800-879-7826 for more information. Pay This position has a collective bargaining agreement with pay increases built in continuously over four years. Driver will earn $72,000 - $77,000 per year for the first year and are paid based on route. Starting hourly pay is $27.28 per hour with routes over 400 miles being paid at $0.70 per mile and $30.45 per stop. Schedule Enjoy being home daily with five-day workweeks with two consecutive days off. Weekends are required. Drivers will average 40 hours per week, based on current route available. All shifts are subject to change based on seniority. Equipment Drive an automatic late-model Day Cab or Sleeper with refrigerated trailers. This is driver assist grocery delivery via electric pallet jack. Benefits This operation offers union benefits. Why Ruan? People First, Safety Focus, 90+ Years Strong.

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 an upscale African Restaurant being brought to Northwest DC from Renown Chef Eric Adjepong. We will be featuring elegant cuisine from the African diaspora. We are looking for support staff (busser/food runner) that have great personalities and excellent communication skills. Duties include talking to tables about the dishes, assisting servers and bartenders, cleaning and resetting the restaurant. Support staff must be able to learn the menu and be very familiar with it in its entirety. We are open for PM shifts starting at 4pm, applicant must have availability on Fridays and Saturdays. Please reply with a resume or full job history.