Finance Senior Applications Engineer (Law firm exp. required)

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

Location: Onsite – 5 days per week (DOWNTOWN CHICAGO) We are seeking a motivated Desktop Support Specialist to join our IT team. In this role, you will be responsible for providing day-to-day technical support for employees, ensuring computer systems and conference room technologies run smoothly. You’ll primarily manage issues remotely from your desk but will also handle hands-on tasks such as equipment setup and troubleshooting. Key Responsibilities : Provide helpdesk support to employees, including troubleshooting and resolving hardware, software, and network issues. Set up, configure, and maintain physical computer equipment and peripherals. Perform device provisioning for new and existing users (experience preferred). Troubleshoot issues related to conference room systems, with a focus on Google Meet setups. Utilize remote management tools to resolve the majority of technical support requests. Execute basic tasks in Linux terminal for system checks and troubleshooting. Collaborate with the IT team to maintain smooth operations and escalate issues when necessary. Qualifications : Previous experience in a desktop support or helpdesk support role. Strong knowledge of computer hardware setup and troubleshooting. Experience with provisioning processes is preferred. Familiarity with Linux terminal commands and basic troubleshooting. Excellent problem-solving and communication skills. Ability to work independently and manage multiple support requests effectively. Comfortable working onsite five days per week.

LDAP Software Engineer Location: Peru, IN Duration: Permanent role Responsibilities: * Work with upstream data source and downstream clients to resolve data related issues. * Assist in designing, developing, and implementing Data as A Service (DaaS) and support for microservices. * Perform data and log analysis. * Assist in designing, developing, and implementing flexible LDAP architecture for PaaS and SaaS applications. * Performance periodic maintenance as/when required. Requirements: * Performance periodic maintenance as/when required. * Assist in designing, developing, and implementing flexible LDAP architecture for PaaS and SaaS applications. * Work with upstream data source and downstream clients to resolve data related issues. * Assist in designing, developing, and implementing Data as A Service (DaaS) and support for microservices. * Perform data and log analysis. * Advanced knowledge of LDAP directories based on OpenDJ, Oracle (sun) or ForgeRock directories. * Expert in maintaining, troubleshooting issues in production environment. * Experience in installing and configuring Oracle DSEE 11g & OpenDJ, ForgeRock DS. Required Software Skills: * Directory Services (LDAP, MS Active Directory, MS Entra ID), including Group Policy, DNS, and DHCP Exchange / M365 * VMware vSphere/vCenter * Server and PC operating systems including Windows OS's and Linux * Citrix DaaS, and related components * Microsoft SQL Server and/or Oracle SQL along with database management utilities Recommended Working Knowledge * PowerShell * Git (GitHub / Gitlab) * TCP/IP * Networking OSI mode

Core Systems, a leader in rugged computer and server solutions for mission-critical defense and industrial applications, is seeking a Computer Repair Technician to join our RMA and repair operations team. This position focuses on diagnosing, troubleshooting, and repairing customer-returned products and Core Systems–built servers. Resume Required. Key Responsibilities Perform diagnostics, troubleshooting, and repair on returned computer systems, servers, and components. Process RMA units through inspection, testing, and documentation. Repair hardware at the system, component, and board level when required. Assist in root cause analysis and corrective action reports for customer returns. Work closely with engineering and production teams to support continuous improvement. Maintain accurate service records and ensure timely turnaround of customer units. Qualifications Proven hands-on experience repairing computer systems, servers, or related IT hardware. Strong knowledge of hardware components (motherboards, CPUs, memory, storage, power supplies, etc.). Experience with diagnostic tools and test equipment. Ability to read schematics and follow technical documentation. Detail-oriented, organized, and able to work under time-sensitive conditions. Previous experience in an RMA/repair environment is a MUST. Familiarity with ruggedized or military/industrial computer systems a plus. What We Offer Competitive pay and benefits package. A chance to work with cutting-edge technology in the defense and industrial markets. Collaborative, supportive team environment. Opportunities for growth and advancement within the company.

Title: Full Stack Web Developer Location: Phoenix, AZ Position: Full time Salary: $Open Description:- • BS or MS degree in computer science, computer engineering (preferred) • Java, Web development work experience • Demonstrated experience in Agile development, application design, software development, and testing • Expertise with Java/J2EE, and Spring • Expertise with HTML/XHTML, CSS, AJAX, JavaScript Frameworks such as REACT/Redux • Expertise with building RESTful APIs • Expertise in objected oriented analysis and design across a variety of platforms • Thorough understanding of XML, JSON, Web Service technologies, and data structure fundamentals • Experience with adaptive and responsive development techniques • Aptitude for learning and applying programming concepts • Ability to effectively communicate with internal and external business partners • Experience with a broad range of software languages and payments technologies is a plus. Requirements Note: If interested please send your updated resume to Gowri.Sankar@two95intl.com and include your Rate 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!

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.