Full Stack Developer - Hybrid/Atlanta, GA

Engineer Solutions that Empower Students  Are you passionate about technology, troubleshooting, and making an impact in education? MasteryPrep is seeking a Technical Support Engineer to provide high-quality support to both internal teams and external users, ensuring seamless operations across our technology platforms. Join a team dedicated to using technology to empower educators and students nationwide. In this role, you will serve as a key technical resource for our customers, troubleshooting and resolving complex issues across full-stack web applications. You’ll use modern developer tools, databases, and reporting systems to diagnose problems, ensure smooth integrations, and deliver timely solutions. This hands-on position involves collaborating closely with development, QA, and product teams to reproduce and resolve defects, maintaining application stability, and driving continuous improvement. Success in this role requires both strong technical expertise and clear, empathetic communication, ensuring that every customer interaction leads to a reliable and positive experience. Key Responsibilities: Serve as the primary point of escalation for customers issues, addressing their technical inquiries and issues related to full-stack technologies. Provide timely troubleshooting and resolution of customer-reported bugs in web applications built with TypeScript and React. Diagnose and resolve database-related issues in PostgresSQL and Firestore, ensuring data integrity and performance optimization. Document, track, and escalate customer-reported bugs using Gitlab. Collaborate with development teams to reproduce, diagnose, and resolve software defects Lead maintenance engineering. Work closely with cross-functional teams, including development, QA, and product management, to resolve complex technical issues. Communicate effectively with customers, providing updates on the status of their requests and issues in a clear and timely manner. Gather feedback from customers to improve the support process and contribute to product enhancements. About MasteryPrep Nearly 90% of low-income students graduate high school without a college-ready ACT or SAT score. MasteryPrep’s mission is to level the playing field in education by offering the most effective test preparation available – made accessible to all students.  Through more than 10 successful years of partnering with school districts and institutions on college readiness services and resources, MasteryPrep has surpassed one million students served since the company’s founding in 2012.  MasteryPrep increased its student outreach by 70 percent in 2021 and is ranked among the Inc. 5000 “Fastest Growing Companies,” featured by “Entrepreneur 360,” and selected among the “Growth Leaders” by Louisiana Economic Development. Requirements Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) 2+ years experience as a full-stack engineer Strong knowledge of Google Firestore, PostgreSQL, TypeScript, JaveScript, and React Experience with SSO,  specifically with Security Assertion Markup Language (SAML) protocols Proficient in integrating Learning Tools Interoperability (LTI) standards  Skilled in integrating with Student Information Systems (SIS)  Familiarity with rostering and integration services in education technology (e.g., Clever, ClassLink, Schoology) Excellent problem-solving and troubleshooting skills Ability to work independently and as part of a team in a fast-paced environment Strong communication and collaboration skills Familiarity with compliance standards such as FERPA, COPPA or PCI DSS preferred Knowledge of secure coding practices and application security testing techniques preferred Benefits $75,000-$85,000 starting salary based on qualifications  Opportunity to work with cutting-edge technologies in a collaborative environment Flexible work hours and remote work environment Professional development opportunities and reimbursement for certifications and training  Company-sponsored social events and team-building activities Employee benefits eligibility (health, disability, AD&D, life insurance) Matching 401k Paid time off Generous paid holidays

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH). Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP). Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits  Trexquant is an Equal Opportunity Employer

Join us in building great software—our team is looking for ambitious individuals eager to advance their development career in a collaborative setting. We are a software-focused tech company offering high-quality developer training. Want to become a full-stack developer using real frameworks and tools? This structured remote program is flexible, self-paced, and includes nearly 900 hours of project-based learning that prepares you for technical challenges in software development. The program includes: 🖥️ Tech & Programming Core Concepts • Learn how the internet, computers, and browsers work • Study logic, algorithms, and Python scripting • Build understanding of data structures and basic security 💻 UI & Web Development • Design websites with HTML, CSS, JavaScript, and Bootstrap • Create dynamic elements using jQuery and React.js • Implement responsive design for modern web apps 🗄️ Server & Database Integration • Use SQL and SQL Server for data storage and access • Work with Django and C#/.NET to build back-end systems • Master full CRUD functionality and database design 🧑‍💻 Programming Tools & Languages • Gain experience with key development languages and workflows • Use Visual Studio, Git, and GitHub for real-world project control • Learn best practices for solo and team-based coding 🧪 Capstone Development • Build and deploy two real projects (Python and C# based) • Apply Agile methods and work through debugging challenges • Produce portfolio-quality code and systems 🧰 Career Development Skills • Prepare for tech interviews and whiteboarding • Create job-ready résumés and cover letters • Plan your path into the software development industry No background needed. Remote learners encouraged. Apply now: https://techschooldev.online/

@everyone Hiring【Fontana Warehouse Hiring in Los Angeles】 Job Responsibilities: Machine team assembly line (unboxing worker, scanning worker, cart pusher, machine team patrol worker); Manual team (sorter) Requirements: Male workers 1. Age 20-55 2. High mobility and flexibility preferred 3. Able to adapt to shift work Working Hours: Starting at 2:00 AM; midday shift from 12:30 PM to 10:30 PM Work Location: Fontana Salary: $18/hour for night shift, $17/hour for day shift No meals or accommodation provided. Transportation by coworkers' car, $10 round trip fee Pay Schedule: Payroll for the 1st to 15th is settled on the 20th of each month; payroll for the 16th to 31st is settled on the 5th of the following month. Contact number: 6269771733 9296267666 WeChat ID: zxm6269771733

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

Modern Wiring, Serving All of Santa Cruz County is looking for applicants that have a passion for anything A/V. Digital home technologies are growing quickly and we are in the middle of the excitement. We are a team of passionate people with a "work hard, play hard" attitude. We are looking for an apprentice with experience working with their hands to train in the world of Audio/Video. This is an opportunity to grow with us and go from making good wage to making great wage, with this career you truly get out what you put in. Your responsibilities will include, but not limited to, running low voltage cabling in residential and commercial buildings, terminating and testing, mounting TVs and Projectors, installing A/V equipment, installing security cameras, data patch panels and even talking to Alexa and Google. Employment type: Looking for a 20-30 hour a week AV, Data, Security Camera Apprentice Requirements: Must speak English and be authorized to work in the US Excellent customer service Good work ethic Punctual Willing to learn Clean driving record Previous experience is a plus and any or all: Construction experience Low voltage cabling: running and termination Hand & power tools Onsite Troubleshooting, and Repair Home Automation, Audio/Video, Networking, Security