Senior Backend Platform Engineer, Distributed Systems

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

As a Senior Python Developer, you will work with our application and collaborate with third-party teams to integrate our application with theirs. Our backend is a set of APIs consumed by various frontend React applications, including online ordering websites, mobile apps, and in-store ordering kiosks. We have three main APIs, each quite large: Admin API (for the admin panel), Order API (for e-commerce products), and In-store API (for our in-store products, including kiosks and kitchen display systems). The main application is based on Flask and uses MySQL for its database. We do not use an ORM to talk to the database, so you must be well-versed in writing SQL and working directly with a database to be effective. Integrating with APIs provided by the backend team to provide seamless connections between our applications. Integrating with external APIs directly. Expanding the capabilities of our REST APIs: building new endpoints using the OpenAPI specification. Building new backend functionalities to help expand the feature set of our customer-facing products. Improving the end-user experience by reducing the latency of API endpoints using all tools available (SQL queries, indices, caching, background tasks, Datadog APM, etc.). Tracking down and fixing bugs encountered by end users. Refactoring parts of the application that require modernization. Expanding the scope and coverage of the automated test suite. Requirements Powerful written and verbal communication skills. 5-10 years as a Python Developer. Experience with Flask or Django, with a strong preference for Flask experience. A thorough understanding of working directly with databases and writing custom SQL queries. Experience working on a consumer-facing application with high-performance requirements. Experience integrating with external APIs for payments and other non-core features. Experience working on an e-commerce application, preferably in the restaurant or retail industry. Knowledge of and experience with CRM and/or loyalty & marketing applications, directly or indirectly by integrating with such systems. Hands-on experience with Celery, Redis, Docker, Linux, and AWS is a plus. Experience working with an established code base and taking ownership of certain parts of the code base (if you have only worked on projects built from scratch, this role is not for you). Ability to work independently with minimal supervision: You should be a self-starter who doesn’t require constant oversight to stay on task and enjoys solving problems primarily on your own. BSc in Computer Science, Engineering, or relevant field. The employee needs to be available until at least 4 pm. US Eastern Time. Since we hire from across the world, our employees need to coordinate and be present in real time. 100% Remote $180,000 - $200,000 Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

SUMMARY Responsible for following both ChemStation food safety and food hygiene practices and rules, the Service Technician gains access to the customer’s facility to inspect, perform equipment installation and maintenance, and at times safely dispense cleaning agents and processing aids that were ordered while following agreed upon practices from the customer. PRIMARY DUTIES & RESPONSIBILITIES This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem from time to time. *Food safety or quality responsibilities within job. All staff are responsible for reporting food safety and quality issues to those that can initiate action. • Inspects all customer installed lines and bulk containment units for any damage, tampering or potential safety issues • Calibrates Customer dispensing systems on a periodic basis • Ensures all Telemetry units are functioning properly • Ensures tank materials are correctly dispensed at time of service • Provides Customer with system and area improvements, when required • All staff are responsible for reporting food safety and quality issues to those that can initiate action. • Perform other duties as assigned. ** MECHANICAL APPTITUDE NEEDED

At Cimbali Group, we support some of the world’s finest coffee equipment through expert technical training, dedicated customer service, and high-impact field support. We’re currently looking for a Technical Service Trainer to join our team. This role reports directly to the Director of Service. We support some of the world’s finest coffee equipment through expert technical training, dedicated customer service, and high-impact field support. . What We’re Looking For Solid electronic background with knowledge of espresso machines and grinders Service mindset with strong communication skills—verbal, written, and relational Ability to analyze, report, and respond to technical performance data Comfortable training others and supporting equipment in the field Microsoft Office proficiency; CRM/helpdesk experience preferred Self-driven, adaptable, and ready to contribute to a collaborative team Availability for domestic travel; valid driver’s license and passport Bonus: barista experience or coffee industry knowledge The main responsibilities will include: Delivering technical training on our full product portfolio (traditional espresso, super-automatics, grinders) Supporting sales, installations, and service escalation visits across North America Managing warranties and coordinating preventative/predictive maintenance plans Maintaining strong relationships with distributors and service partners Troubleshooting remotely via phone and support platforms Tracking activities, warranties, and performance data in our CRM/helpdesk tools Attending trade shows, conferences, and industry events as needed (30% to 50% travel monthly) Why Work With Us? Competitive salary ($65K–$75K+ depending on experience) Health benefits, 401(k), and paid vacation/holidays Opportunities to travel and train with our international HQ team Exposure to cutting-edge coffee tech—and yes, plenty of great espresso A chance to help shape the service experience in a fast-growing organization

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.