Full Stack Developer - Hybrid/Atlanta, GA

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

Part Time General Helper & Cabling , Stock Room, Etc With on the job training

Atto Trading, a dynamic quantitative trading firm founded in 2010 and leading in global high-frequency strategies, is looking for a Low-Latency Developer to join our team. We are expanding an international, diverse team, with experts in trading, statistics, engineering, and technology. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning and collaboration allows us to solve some of the world’s hardest problems, together. As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.  Position Highlights: We are modernizing our trading and research platform to scale our alpha trading business. This platform will enable researchers to explore, test, and deploy sophisticated signals, models, and strategies across asset classes in a robust, fully automated manner while maintaining competitive latency targets. As a Low-Latency Developer, you will be responsible for designing, optimizing, and maintaining high-performance trading systems to minimize latency. Your Mission and Goals: Analyze and optimize the performance of low-latency trading systems by identifying bottlenecks and inefficiencies in the code, and implementing effective solutions.  Develop and adapt the platform to support the demands of a fast-paced trading environment, while effectively managing technical debt. Requirements Over 5 years of experience as a low-latency developer with a focus on performance optimization in a high-frequency trading (HFT) environment. Experience with multiple components of an HFT platform or system, particularly those on the critical path. Experience working at an HFT firm during its startup phase and/or on a trading team is a significant plus. Technical Skills: Deep knowledge of HFT platforms: networking, kernel bypass, market data, order entry, threading, inter-process communication, and strategy APIs. Proven low-latency development and performance optimization in HFT. Strong proficiency in C++. Excellent understanding of CPU caches and cache efficiency. Experience with multithreaded and multi-process synchronization. Good understanding of networking protocols. Skilled in performance profiling and optimization tools. Advanced knowledge of Linux operating systems, including kernel-level device mechanisms. About You: Practical decision-making skills. Excellent communication skills. Strong analytical and problem-solving skills. Passion for trading. Ability to work independently and as part of a team. Benefits Competitive rates of pay. Paid time off (5 weeks). Coverage of health insurance costs. Office lunches. Discretionary bonus system.  Annual base salary range of $150,000 to $300,000. Pay (base and bonus) may vary depending on job-related skills and experience. Our motivation: We are a company committed to staying at the forefront of technology. Our team is passionate about continual learning and improvement. With no external investors or customers, we are the primary users of the products we create, giving you the opportunity to make a real impact on our company's growth. Ready to advance your career? Join our innovative team and help shape the future of trading on a global scale. Apply now and let's create the future together!

Many IT workers, especially in help desk and tech support roles, are misclassified as “exempt” and denied overtime. But under California law, if your duties are mostly routine troubleshooting, password resets, and support tickets — you’re likely entitled to overtime pay. If you’ve worked over 8 hours a day, worked on after hours tickets, stayed after hours to for training or to work on projects, been on-call, or responded to issues on your “off time,” you may be owed: 💵 Time-and-a-half pay for overtime (over 8 hrs/day or 40 hrs/week) 💵 Double time for long shifts (over 12 hrs/day) 💵 Pay for off-the-clock work like logging in early or finishing tickets late 💵 Compensation for being “on call” or working nights/weekends 💵 Meal and rest break pay if you had to work through them Even if you’re salaried, if your duties are support-related and follow set procedures, you may not meet the legal test for exemption and must be paid overtime. We are employment attorneys who help IT workers recover unpaid wages. We can help get you paid what you are owed. 📞 Free attorney consultation – no obligation (888) 416-6654 🌟 20+ years fighting for California workers’ rights 💸 No upfront costs – we only get paid if you win or settle ** Call or email us today to find out how much you may be owed. Chris Hamner Attorney at Law HAMNER LAW OFFICES 26565 West Agoura Rd., Suite 200 Calabasas, California 91302 www.hamnerlaw.com 💼 Get Paid Everything You Are Owed. ATTORNEY ADVERTISEMENT

Eagle Seven is seeking a Senior Software Developer focused on exchange connectivity and market data.  The individual will be responsible for analyzing exchange protocols, proposing design solutions, and implementing connectivity to trading venues across the world. The role be a part of the platform development team and will provide the individual with exposure to traders and strategy developers. The successful candidate will be a self-starter, have strong sense of ownership and be driven to provide technical and intellectual solutions to business problems.    Primary Responsibilities include: Architecting and implementing low-latency market access solutions Understanding, interpreting, and interfacing with global exchanges and their protocols Designing, developing, and supporting market data feed handlers and exchange order routers Diagnosing latency issues and resolving with appropriate tuning and optimizations Working with traders to source, evaluate and facilitate access to new data sources Working with extended team to capture, house, and provide historical access to market data Liaise with vendors on data and technical issues as needed to deliver rapid solutions to the business Requirements Skills and Experience: Bachelor’s degree in Computer Science or related field Proven track record of understanding and working with global exchange protocols Experience with writing parsers for exchange protocols such as FIX and ITCH, etc. Strong background in C++ and C++ Template metaprogramming with demonstrated experience using C++14/C++20 Expertise with TCP/IP, UDP multicast, sockets, network protocols, particularly on Linux/Unix systems Experience using network tools such as Wireshark and TCPDump to monitor and debug behavior Ability to work in a collaborative environment Excellent written and verbal communication skills Benefits Eagle Seven offers a competitive and comprehensive benefits package to all full-time employees. Medical PPO and HMO coverage through BlueCross BlueShield Company Contributions to a Health Savings Account (with enrollment into a High Deductible Health Plan) Dental coverage through Principal Vision coverage through VSP 401k Retirement Savings Plan with Employer Match Company Paid Life Insurance Company Paid Disability Insurance Paid Time Off Flexible Spending Account Pre-tax Transit Benefits Complimentary Lunch and Beverages The minimum base salary for this role starts at $150,000. This role is eligible for a discretionary performance bonus as part of the total compensation package, in addition to the benefits listed above. Exact compensation offered may vary based on factors including, but not limited to, the candidate's experience, qualifications, and skill set.

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.