Software Engineer, Skill Level 1

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

Launch Your IT Career with Northstar Technologies At Northstar Technologies, we don’t just hire talent—we develop it. We’re looking for motivated problem-solvers who want to learn, grow, and build lasting careers in IT. If you bring curiosity, initiative, and the drive to take on challenges, we’ll provide the tools, training, and mentorship to help you succeed! Why Choose Northstar? We believe the best way to grow our company is to grow our people. That’s why every person starts with our hands-on, 3-month remote training program, designed to fast-track your skills with the guidance of team and access to enterprise-level equipment. What We Offer • Accelerated Learning:– In as little as 3 months (or faster, based on your pace). • Mentorship:Learn directly from experienced engineers committed to your growth. • Cutting Edge Tech: Train on modern, enterprise-grade infrastructure.. • Career Growth: Start at $22/hr with a clear path to raises and advancement. • Exciting Travel Opportunities : Gain valuable nationwide project experience, expand your professional network, and build skills in diverse environments. Work, travel, and explore! With 100% travel required, you’ll experience new cities and opportunities while your housing and relocation are fully covered. Comprehensive Benefits Medical, Dental, Vision, Life Insurance, and Paid PTO/Holidays. Who We’re Looking For Ideal candidates bring: • Problem-solving skills: You tackle challenges directly and seek new solutions. • A Willingness to Learn: You’re adaptable and eager to gain new skills. • A Team-Oriented Mindset: You value collaboration and open communication. • Attention to Detail: You’re organized and thorough. • Practical Thinking: You approach problems with an open mind and resourcefulness. Requirements: • Ability to pass a comprehensive background check (including criminal history) and drug screen. • 100% travel and relocation required (company provides housing and relocation support). • Flexibility to live and work in project cities for extended periods. • Authorization to work in the U.S. Ready to Move Forward? Send your resume to info@northstar-tek.com and start your journey with Northstar Technologies. We help businesses transform through technology, providing secure, agile, and cloud-ready IT infrastructure solutions. Our services range from strategy and consulting to design, implementation, and support.

There will be a cabinet unloading tomorrow (8.14). Interested parties please contact 6265576096, thank you! $200 per unit. 1550 Knowles Ave Los Angeles, CA 90063

Looking for a supermarket sushi chef with experience. English speaking is preferred. Location: Fontana. Phone: 6266552865; WeChat: KITY781

Job Information: contact information：wangyuansheng@t-aranis.com ● Job Title: Sales Associate ● Position Type: Full-Time/Part-time ● Industry: Retail ● Location: Los Angeles, California, United States At TARANIS, we’re looking for motivated, proactive individuals who excel in a collaborative environment, embrace feedback, and are passionate about continuous learning and personal growth. If you are curious, adaptable, and ready to take on new challenges, we would love to have you join our team. As a member of the TARANIS family, you’ll receive comprehensive onboarding, in-depth product training, and customer management development to ensure your success and ongoing professional growth within the company. Responsibilities: ● Develop strong product knowledge and effectively communicate key features and benefits to customers. ● Greet and engage customers, assess their needs, and drive sales through product recommendations. ● Ensure store displays are organized, visually appealing, and aligned with company standards. ● Track sales, perform inventory checks, and generate accurate reports. ● Handle daily store operations, including receiving shipments, restocking, returns, and supporting loss prevention. ● Deliver exceptional customer service at all stages of the shopping experience—pre-sale, during the sale, and post-sale. ● Stay focused and goal-oriented, maintaining a positive attitude even in high-pressure situations. ● Keep your designated area clean, organized, and safe. ● Be proactive, reliable, and take ownership of your tasks. ● Complete other tasks assigned by the supervisor. ● Approach new challenges and tasks with a 'can-do' attitude. ● Flexibility to work evenings, weekends, and holidays as needed. ● Ability to meet physical demands, including bending, squatting, reaching, climbing ladders, and standing for long periods. Qualifications: ● High school diploma or equivalent required. ● Relevant work experience in retail or customer service is preferred. ● Strong communication skills, with a team-oriented approach and a customer-first mindset. ● Proficiency in English; additional fluency in Chinese and Spanish is a plus. Job Types: Full-time, Part-time Pay: $16.50 - $22.00 per hour Compensation Package: Bonus opportunities Monthly bonus Schedule: 10 hour shift 12 hour shift 8 hour shift Work Location: In person

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