SW Engineer-C++

- Design, build, test, and deploy highly scalable customer facing RESTful APIs that can handle traffic and mobile apps - Collaborate with Product and Engineering leadership to translate business vision into technical design, code and test suite - Partner with other engineers to produce high quality software - Gain a broad understanding of the system/domain and upstream/downstream dependencies - Stay current on technologies and application development best practices Requirements - You have 8+ years of experience as a back-end developer building and deploying RESTful APIs and integrations using Java/Groovy, SpringBoot, Spock, JUnit, Gradle/Maven, SQL/NoSQL databases, MQ, Kafka, GIT - You have a solid understanding of RESTful APIs - You are an expert in building cloud-native applications - You are passionate about developing and maintaining high quality software - You understand how web sites and mobile apps interact with backend APIs - 3+ years working in an agile team - Understanding of CI/CD, Jenkins, JMeter/Gatling, WireMock - Atlassian software development and collaboration tools (BitBucket, Jira etc.)

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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

Site Directors Needed! Immediate start! Multiple jobs available in your area. Do you have management experience? Have you worked in coordinating a school / afterschool program? Do you love working with children? Apollo After School is looking for you! Compensation: $22 - $24 per hour (depending on experience). Location: Beachwood, OH Starting Date: School year 2025-2026 Hours: Before Care Monday through Friday from 7:00 am to 9:00 am After Care Monday through Friday from 2:00 pm to 6:00 pm Job Description: Apollo After School is a national curriculum-based enrichment and childcare program. We offer parents before-school and after-school childcare 5 days a week, with a focus on Social-Emotional Learning and Project-Based Learning. We are looking for caring, patient, and enthusiastic childcare professionals to provide a safe, fun, and friendly classroom experience for our students at local PK-8 schools. Our staff is expected to apply their own unique creativity as educators within the framework of our research-based extended-day curriculum. Education is a team effort – our staff must work closely with fellow colleagues, parents, and school personnel to provide a positive learning environment for our students. As an Apollo Site Director, you will be responsible for the implementation of our extended-day program at your site. You will work closely with Apollo senior leadership and support staff to ensure our program exceeds school, parent, and student expectations. Site Directors also coordinate a team of instructors (depending on program enrollment). As an Apollo Site Director, your responsibilities will be: Provide a high-quality learning environment and manage activities that extend the school day. Manage daily program operations and logistics, in coordination with Apollo leadership. Ensure the safety and security of children enrolled. Supervise all aspects of your site’s before and after-school program. Build and maintain positive relationships with all participants, parents, school staff, and administration. Communicate regularly with students’ parents/guardians during pick-up times, working together on student successes and challenges. Maintain accurate and up-to-date records, attendance, and dismissal data (incident and accident reports, inventory, and parent communication). Meet data entry deadlines. Gather, review, and use program data for program improvement and parent communication. Assess and solve problems associated with the supervision of PK-8 students. The requirements for our Site Directors are: Minimum of two years of experience working with school-age youth, ages 4-10 in a school/after-school setting. Minimum 1-year experience in management with at least 5 employees as direct reports. Associate’s Degree -or- Equivalent Experience Perks: We encourage Career and Professional Development Training in relevant childcare subjects Collaboration, and schedule flexibility Work-life balance Apollo After School or Chess Wizards is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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

Cleveland based metal finishing Company looking for mid level or experienced welder. Additional training is available if needed. Hours 1:00pm to 9:00pm weekdays. $20.00 to $25.00 an hour depending on experience. Medical, Dental, 401K Email resume to: Sales@nplating.com / or stop in and fill out an application at: National Plating Corporation 6701 Hubbard Ave. Cleveland, Ohio 44127 Principals only, please no recruiters