Salesforce Developer

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

Fully onsite, temp to perm, ASAP start date. Pay is BOE 48-85 per hour • 30% Network Operations and Security Management: Responsible for the daily operations, maintenance, and troubleshooting of the branch’s network. Monitor and analyze network performance, respond promptly to and resolve operational issues and incidents. Perform fault diagnosis and resolution for various types of network failures; create and manage support tickets with third-party vendors for any type of network performance degradation or system issue. Conduct regular and ad-hoc health checks to identify and eliminate risks, ensuring the overall health of the network environment. Coordinate with maintenance vendors for hardware repair and replacement. Responsible for network-related disaster recovery activities, including drills, testing, and documentation. • 25% Network Architecture Optimization and Technical Standards Development: Design and optimize network architecture by incorporating industry best practices and aligning with headquarters’ technical standards. Continuously improve the network architecture and evaluate emerging technologies for potential adoption. Revise and refine network management technical standards in accordance with HQ requirements and local business needs. • 20% Network Asset Management: Maintain and update network topology diagrams, as well as asset records for network devices and leased lines. Manage VLANs, IP addresses, DNS, and domain environments. Responsible for network configuration management and firewall port administration. Implement lifecycle management for network devices, including procurement and replacement. Handle equipment installation, placement, cabling, labeling, power supply, stacking, and routine inspections. • 10% Network Version and Patch Management: Responsible for the installation, configuration, patching, and maintenance of network infrastructure supporting the headquarters and branch data centers. Coordinate planned network upgrades with HQ departments and third parties. Perform firmware updates for network and security devices to ensure they remain on the latest versions. • 5% Network Business and Financial Management: Liaise with network vendors and participate in budgeting, procurement, contracting, invoice review, and payment processes for network-related services, ensuring service quality, cost control, and compliance. Collaborate with the Information Security Office and Risk Management Department to oversee vendor management and monitor their adherence to service level agreements (SLAs). • 5% Collaboration and Support: Work closely with other technical teams to complete network-related tasks. Provide network support and guidance to other IT staff, promoting knowledge sharing and continuous improvement. • 5% Other Duties: Perform additional related responsibilities as assigned. Requirements • College graduate with specialization in Computer Science, Information Technology, Computer Engineering or a related discipline or equivalent experience or equivalent combination of education and experience. • 3 years of satisfactory, progressive experience in network administration in a business environment incorporating switch, router and firewall configuration, network monitoring, and experience utilizing network management tools to that are acceptable to the management of the Information technology Department. Knowledge of network topology, understanding of LANS, VPN, Wi-Fi, etc. is required. • Fluent in English and Chinese. SPECIFICATIONS: • Strong knowledge in network administration, cyber security, IT operation, inventory and patch management, incident response, and etc.; • Must be able to prioritize work and multitask in a fast-paced environment. • Require participation in periodic network devices updates outside of normal business hours and respond to network-related operation issues and incidents in a timely manner. • Communication regarding work matters with the headquarters is allowed outside of regular working hours. • Have strong written and oral communication skills in English and oral communication in Mandarin. Self-motivated and with strong responsibility. • Holding professional certifications of CCNA, CCNP or CISSP is a good plus.

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

Title: Computer Support Specialist LONG TERM TEMPORARY ASSIGNMENT Duties: - Provide timely second-level hardware and software support to agency employees New York City regional offices - Support all aspects of the hardware device lifecycle management - Participate in the rollout of agency-wide hardware/software initiatives - Maintain tickets in the ServiceNow ticket tracking database. Update calls with actions and resolutions as necessary - Assist with asset inventory tracking, including office site visits, reviewing Warehouse stock and updating the asset database information - Conduct hardware and application testing and troubleshooting as needed - Develop technical user and IT documentation Key Skills & Abilities: - Strong interpersonal, written and oral communication skills - Ability to work with minimal supervision - Customer service experience - Strong organizational skills and attention to detail - Experience installing, testing and troubleshooting computer hardware Preferred Education: High School Diploma, Technical Degree/Certificate Program, Bachelors Degree Please submit your resume as an attachment in WORD or PDF 35 Hour Work Week 9am to 5pm $25 an hour PAID WEEKLY through a NYC Staffing Firm WE ARE AN EQUAL OPPORTUNITY EMPLOYER

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!

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.