Hadoop developer

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

Sales Merchandisers work with the Sales Representative for specific towns in Essex County area to stock stores with appropriate items. Looking specifically for availability in Danvers and surrounding cities and towns. Full time positions available. Candidates must have a reliable car and valid drivers license. Starting wages at $19 per hour plus mileage reimbursement.

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

CoWorx Staffing is interviewing for upcoming jobs in the Malden, MA area! NO EXPEREINCE NEEDED! Positions available: Sanitation – Cleaning Production – Baking Finishing – Packing Mixing – Measuring dry goods, using mixing tools (hoppers) This role requires proficiency in English to complete documentation and follow safety instructions. Entry-level employees will receive coaching/mentorship from personnel, including Assistants, Operators, and/or Team Leads. Responsibilities: Arrive on time and ready to work the required hours, with the ability to work flexible hours and overtime, as required. Demonstrate and practice excellent personal hygiene and follow GMPs throughout all aspects of the job. Maintain clean and tidy work conditions and assist in the cleanup of the work area, as needed. Maintain the high standards with regard to food safety and food quality and deliver high quality results. Regularly lift, move, and or/push up to 50 lbs Maintain plant cleanliness according to the master sanitation schedule and document completed tasks as instructed. Assist in breaking down, cleaning, and setting-up various pieces of equipment using proper sanitation practices. Follow instructions and communicate problems as soon as they arise. Work in a safe manner and recognize/help correct any unsafe conditions. Support management in other related duties, as required. Desired Background/Skills: Must be 18 years old or older Must understand and follow Good Manufacturing Practices at all times Requires proficiency in English speaking and reading Good work ethic Transportation access (20-30 min away from facility would be ideal). Other Information: Don’t miss out on this exciting opportunity to join our hard-working and growing team – apply today! CoWorx is an equal opportunity employer dedicated to fostering a diverse and inclusive team. We believe that a varied workforce enhances our business outcomes and contributes to a brighter future for our internal teams, Field Talent, customers, and communities. We are committed to considering all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or veteran status, and we do not discriminate based on disability.

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!

Aftercare Teacher wanted at Woodside Montessori Academy Woodside Montessori Academy is seeking a creative, caring, and dedicated aftercare teacher to join our team. The ideal candidate will be independent, inquisitive, professional, patient, and able to work collaboratively with colleagues. We value positive problem solvers who foster a nurturing environment and support our students’ growth. Position Details: Hours: 2:30 PM - 6 PM, Monday through Friday Schedule: Part-time, approximately 15-20 hours/week Compensation: $20/hour Location: 350 Village St, Millis, MA 02054 Qualifications: Must have EEC teacher certification (Montessori credential preferred) Ability to work effectively in a multi-age environment Open to incorporating the Montessori Method Excellent communication skills and a good sense of humor are essential! Benefits: 5 days PTO Tuition discount AFLAC (employee-paid) About Woodside Montessori Academy: Founded in 1985, Woodside Montessori Academy offers a full Montessori educational experience for students from age three through eighth grade. We provide a challenging and stimulating environment guided by knowledgeable and caring faculty. Our curriculum emphasizes individualized learning, hands-on experiences, and real-world applications, fostering lifelong learners and well-rounded students. Our diverse community values respect, inclusion, and the development of each student’s potential as a responsible global citizen. The Role of the Aftercare Teacher: In our Montessori environment, the teacher serves as a model, facilitator, and observer. Building respectful and trusting relationships with students helps boost their confidence. The teacher plans and maintains a prepared environment that encourages independence, social interaction, and academic growth. Observant and attentive, the teacher individualizes support and smoothly transitions students through activities, fostering personal development. Join Our Team! If you’re passionate about education, enthusiastic about supporting children’s growth, and thrive in a collaborative setting, we encourage you to apply. Help us nurture curious, confident, and compassionate learners at Woodside Montessori Academy! Learn more about us here! To Apply: Please submit your resume and a brief cover letter highlighting your relevant experience and why you're interested in this position to Grace@lifebydesignvs.com Woodside Montessori Academy is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and students.