Data Scientist

Job Title : Java Developer Location : Walnut Creek, CA Type : 6 + Months Rate : $Open (Best Possible) Job Responsibilities :– Drive the design, development and implementation of the core of our Java / J2EE technology platform and web services. Debug issues across multiple layers of the application stack. Drive code quality through unit testing and advocate test-driven development methodologies. Refactor and improve code quality, maintainability and scalability. Evaluate the adoption of new tools and technology. Interface with clients to discover, troubleshoot and resolve integration issues. Lead projects and exert technical influence with team members, increase productivity and effectiveness by sharing domain knowledge and experience. Take ownership of all tasks assigned to you and tasks assigned to engineers working on your projects. REQUIREMENTS :- 6+ years of software development experience in Java/Java EE Extensive engineering experience and a proven track record in e-commerce, enterprise, high performance, large scale web technologies including cloud based APIs and protocols (REST, JSON). Thought leader, hands-on contributor, and decision maker known for solving difficult software engineering problems. Proficient in data structures, algorithms, design patterns and Object Oriented Programming. Experience with one of the major relational databases (MSSQL, Oracle, Postgres) Excellent Java and J2EE coding skills. Experience in payments or high transactional systems. Experience with Linux and other Unix-like operating systems. Excellent team player with good analytical, strategic planning and interpersonal and communication skills. Highly motivated, enthusiastic and self-starter Experience with Kafka, NoSQL database is a plus. Exposure to JBoss Fuse, Apache Camel or MuleSoft highly desired. Experience working with Amazon Web Services (AWS) tools Docker, ECS, S3 etc. Experience building CI/CD pipeline with maven/jenkins/code pipeline. Proficient with API design, Strong in Spring framework and understanding of Microservices. Exposure to API Gateway (Apigee) is a huge plus. BSCS or equivalent, MS preferred Note: If interested please send your updated resume and include your rate/salary 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!

ATM Pacific is hiring a Service Technician Hands-On training, flexible hours, and a career path in financial technology Why Join Us?: Hands-on training with ATM technology Flexible hours (great for students) Career growth: ATMs → Smart Safes → BIAB Competitive Pay ($20/hr DOE) What you’ll do: Service & Maintain ATMs Troubleshoot electrical, mechanical & network issues Work independently in the field Earn medical, dental, and 401K SEEKING: Students/recent grads in Electronics, IT, or Engineering Problem solvers with initiative Valid driver’s license + reliable car Able to lift 50 lbs Full-Time is preferred Call to Action: Apply Today! Send resume + cover letter Subject Line: ATM Service Technician – Hawaiʻi Start with ATMs. Advance into Smart Safes & BIAB. Build your career with ATM Pacific.

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.

PLEASE FORWARD RESUME FOR CONSIDERATION Royalty Staffing is currently hiring Autonomous Vehicle Operator in San Francisco for our client who is a growing ride-share company. This is an excellent opportunity to be at the forefront of turning the company's vision into reality. We're looking for operators who are disciplined, team players, and believe in doing whatever it takes to accomplish the mission. Working as a VO will give you the opportunity to learn vehicle and personnel operations. You'll have a front-row seat to the operational complexities of realizing autonomous mobility and the chance to contribute to the future. We are currently hiring for multiple schedules, with bonus pay for weekend and night shifts with a start time of after 3pm (i.e. the weekend day shift offers an added 5% per hour and weekend night shift offers an added 10% per hour). Location – San Francisco, CA Work environment – Onsite/field Pay rate - 29.00 USD Per Hour Assignment duration – Ongoing contract SCHEDULE Hours: Day Shift: 5:45am-2:15pm, 6:45am-3:15pm, or 7:45am-4:15pm Night Shift: 1:45pm-10:15pm, 2:45pm-11:15pm, 3:45pm-12:15am, or 5:45pm-2am Days: Wednesday-Sunday Thursday-Monday Friday-Tuesday Saturday-Wednesday RESPONSIBILITIES Support vehicle operations. Drive 4-8 hours a day with a priority on safety. Conduct basic software operation tasks. Support missions through a wide variety of roles in and out of vehicles. Assist with documentation and metrics. Provide accurate written and oral feedback to engineering teams. Support vehicle maintenance and logistics. Conduct daily basic vehicle preventative maintenance checks, services, and repairs. Provide logistical support for the movement and storage of vehicles and equipment. Ensure the readiness and cleanliness of vehicles, equipment, and the workplace. Assist with paperwork and documentation related to vehicle readiness. REQUIREMENTS Basic vehicle knowledge to perform vehicle checks, ability to drive for long duration (6 hours in the car per day) Basic technology ability Excellent written and verbal communication skills Excellent driving history and no criminal history Proactive mindset and resourcefulness Bachelor's degree or equivalent technical experience is a plus BENEFITS Pre-tax commuter benefits Employer Subsidized healthcare benefits Flexible Spending Account for healthcare-related costs All costs for short- and long-term disability and life insurance 401k package

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 lawyers and have a real case going to trial in SF soon. At this legal focus group, we will present to you arguments from both sides and want to hear your honest opinions and advice about the case. That is your job. Just about everyone who participates in one of our focus groups find it fun and interesting. The focus group will be held at a hotel meeting room in the financial district. Lunch will be provided. It starts promptly at 9 AM. Please be on time. At the end of the focus group, you will be paid $300 in cash. To be considered for this focus group please attach either a resume or a few sentences about the kind of work you have done. You MUST MUST include your cell phone number. I will text successful applicants and give them further details on Sunday or Monday.