Principal Software Engineer- React Native

- 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.)

Italian restaurant need a front of the house position including but not limited to make sandwiches, coffee, getting orders over the phone, packing, cleaning and etc. We need somebody that are willing to do a little of everything. Fluent English is required for this position. We are a small restaurant with a small but great crew that have been working together for years. Experience is good but not essential, we are willing to train anybody as long as you have the will to learn. Availability over the weekends are a must and we are looking for somebody that can start right away. Wages will vary according to the experience but will start from 15 an hour plus tips. Please contact us with any questions over the phone, email or stopping by 645 east second st Boston, ma 02127. We need part time/full time.

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

With a busy year ahead, you could benefit from a part time position that has weekly pay and allows you to set your own schedule. Our customer sales positions offer useful real world work experience and are a great addition to any person’s resume. Looking to fill positions right away Basic positions in customer sales and service. Primary responsibilities include working with customers, answering questions, and writing up any orders. There is no experience needed to apply, we provide all of the training. There isn’t any cold calling and there is no cost to start. The pay is guaranteed (not based on sales) and we’re willing to work around your schedule. Reps work from home and locally after the initial training. Most meetings are held in the office. Great starting pay, flexible schedules The starting pay rate is $25.00 base-appt, but there is an opportunity to make more based on performance with our company. We provide flexible schedules for all members. Since reps have an opportunity to set their own schedule, some work part time, some are looking for flexible work, some work as much as possible, while others are just looking to earn some extra income around internships, classes, other jobs, vacations, or family obligations. We are looking to fill positions right away (1st applied, 1st considered basis). CLICK HERE TO APPLY ONLINE 24/7 Once we receive your contact information a receptionist will follow up with you via text to set up a virtual interview with the manager. We find that this is a lot easier and faster for our applicants (since everybody always has their phones on them). Who would do well? We encourage applicants of all ages and experience, as we do not discriminate on the basis of an applicant’s age. Some conditions apply, but we are looking for applicants who enjoy working with people, willing to learn and apply new skills. All ages eighteen and up or seventeen and a high school graduate. Working at Vector is great for those who are looking for a flexible work opportunity. Part time openings with an option to go full time. Those who have done well with us have had all kinds of work experience (some none at all!) hpo- customer service; retail; office work; receptionist; sales rep; cashier; fast food; barista; stocked shelves at a supermarket; in a call center (which we don’t do by the way); telemarketing; entry level or temp work; college student; contractors; data entry; host or restaurant work; freelance worker; intern; salesperson; babysitter or nanny; communications; administrative assistant; admin work; student work; landscaping; dog walking… Our training is so good even if an applicant has no experience at all, they can do well here.

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’re seeking a motivated and experienced TV Ad Salesperson to sell advertising spots for an exciting show about relationships, airing on Tubi and Amazon Prime. If you have a proven track record in TV ad sales and are passionate about connecting brands with engaging content, we want to hear from you! Position Details: • Work From Home: Flexible, remote position. • Show: A dynamic and thought-provoking series focused on relationships. • Platform: The show will be featured on Tubi and Amazon Prime. • Support Provided: All sales materials and resources will be supplied. Requirements: • Proven experience in TV ad sales. • Strong communication and negotiation skills. • Ability to build and maintain relationships with clients. • Self-motivated and results-driven. What We Offer: • Competitive commission structure. • The opportunity to work with a growing team on a unique project. • A flexible, work-from-home arrangement. How to Apply: Please send your resume and a brief description of your ad sales experience.