Salesforce CRM Developer

There's a family waiting to meet you. Join UrbanSitter today and find flexible gigs in childcare, tutoring, pet sitting, and more! PERKS OF JOINING URBANSITTER: ✓ Ultimate flexibility. Set your schedule with full-time, part-time, and occasional jobs like nanny, date night sitter, after-school pickup sitter, homework tutor, or mother’s helper. Plus, pet sitting and elder care gigs! ✓ Get paid your way. Earn an average of $125+ per job, plus tips. Keep 100% of what you make with instant payouts—no hidden fees. ✓ Trust & safety commitment. Parents must pass an identity check to book. Plus, enjoy peace of mind with our award-winning support 7 days a week. ✓ Community vibes. Join a supportive network of local families and caregivers. Find families you love working with and build lasting connections in a trusted, tight-knit community. REQUIREMENTS: ✓ Must love kids! ✓ Be respectful, responsible, and kind. ✓ Previous experience in child care is a plus, but not a must. ✓ Must be 18 years or older and eligible to work legally in the U.S. ABOUT URBANSITTER: UrbanSitter is an app and website that’s making it easier than ever for caregivers to find flexible, jobs in child care, senior care & pet/house care. With full-time, part-time and occasional positions available across the US, caregivers earn an average of $125 + tips per job nationwide. Joining UrbanSitter is perfect if you're looking for part-time work, jobs for college students, temporary work, seasonal work, or full-time work. You set your own schedule and rates for ultimate flexibility. We welcome babysitters and nannies with a range of childcare experience such as babysitting for neighbors and family, camp counselors, tutors, soccer coaches, swimming coaches, preschool teachers, substitute teachers, music teachers, daycare teachers, daycare workers, early childhood development students, nursing students, education students, grad students, undergraduate students, senior caregivers, pet sitters, housekeepers, household assistants, house sitters, house manager, household manager. Additional keywords: babysitting jobs, babysitter job, babysitter, baby sitter, babysitting, nanny, nanny jobs, nanny for hire, nannying, au pair, au pair jobs, childcare jobs, child care jobs, child care, childcare, part-time job, temp work, work with kids, daycare job, daycare jobs, day care job, day care jobs, afterschool care, after school care, virtual jobs, virtual sitting, virtual babysitter, virtual tutor, tutor, tutoring, gigs, senior care, elderly care, house sitting, housekeeping, pet sitting, dog walker. Click to find jobs with UrbanSitter. Babysitting with UrbanSitter is perfect if you're looking for part-time work, jobs for college students, temporary work, seasonal work, or full-time work. You set your own schedule and rates for ultimate flexibility. We welcome babysitters and nannies with a range of child care experience such as babysitting for neighbors and family, camp counselors, tutors, soccer coaches, swimming coaches, preschool teachers, substitute teachers, music teachers, daycare teachers, daycare workers, early childhood development students, nursing students, education students, grad students, undergraduate students, senior caregivers, pet sitters, housekeepers, household assistants, house sitters. Additional keywords: babysitting jobs, babysitter job, babysitter, baby sitter, babysitting, nanny, nanny jobs, nanny for hire, nannying, au pair, au pair jobs, childcare jobs, child care jobs, child care, childcare, part-time job, temp work, work with kids, daycare job, daycare jobs, day care job, day care jobs, afterschool care, after school care, virtual jobs, virtual sitting, virtual babysitter, virtual tutor, tutor, tutoring, gigs, senior care, elderly care, house sitting, pet sitting, dog walker. Click to babysit with UrbanSitter.

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

Job Title: Smart Home Technician/Programmer Company: BCG Concepts Location: Los Angeles, CA About Us: BCG Concepts specializes in high-end audio/video installations and smart home automation for residential and commercial clients throughout Los Angeles. We are dedicated to delivering customized, state-of-the-art solutions that enhance our clients' environments. Position Overview: We are seeking a skilled Smart Home Technician to join our team. In this role, you will be responsible for the installation, programming, and maintenance of integrated smart home systems, ensuring seamless operation tailored to client specifications. You will serve as the primary point of contact for clients during the final stages of installation, providing exceptional customer service and support. Skills in Lutron, Savant, Crestron Home, Unifi Systems, Access Control, Control4 required. Key Responsibilities: System Installation and Programming: Install, program, and customize Control4 home automation systems, universal remote controls, and Lutron lighting systems to meet client requirements. Quality Assurance: Conduct thorough inspections of installed systems, verifying proper installation of components such as speaker wiring and network cables. System Configuration: Set up and configure all system components, ensuring optimal performance and integration. Client Interaction: Act as the final interface with clients, providing comprehensive demonstrations and explanations of their new systems to ensure satisfaction and ease of use. Troubleshooting: Serve as the first and last line of defense for system issues, promptly addressing and resolving any technical challenges that arise. Qualifications: Experience: Minimum of 3 years of experience in smart home system installation and programming, particularly with Control4 and Lutron systems. Technical Skills: Proficiency in programming home automation systems; strong understanding of audio/video signal flow and networking. Customer Service: Demonstrated ability to interact professionally with clients in their homes or businesses, with a focus on delivering exceptional service. Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve technical issues efficiently. Attention to Detail: Meticulous approach to system setup and quality assurance, ensuring all components function seamlessly. Communication: Excellent verbal and written communication skills, capable of conveying technical information to non-technical clients. Physical Requirements: Ability to work in various environments, including attics and crawl spaces; must be able to lift up to 50 pounds and stand for extended periods. Licenses: Valid driver's license with a clean driving record. Benefits: Competitive salary commensurate with experience. Health, dental, and vision insurance. Paid time off and holidays. Opportunities for professional development and training. Collaborative and supportive work environment. Company-provided F-150 trucks for work-related travel. Work Environment: This is a full-time, on-site position requiring travel to client locations throughout Los Angeles.

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

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.

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!