Senior Software Engineer

Title: Hadoop developer Location : 100% Remote work Type : W2 -Contract to hire Rate : $Open / hour Requirements Job Descriptions: Hadoop Development within the database Maintaining and monitoring the Hadoop environment, addressing vulnerabilities and resolving issues in the OS Monitoring Hadoop clusters & functionality to support data migration Job Requirements: 5+ years of experience as a Hadoop Developer 2+ years of experience with Python and ETL experience Previous experience working with Hadoop deployments/migrations Prior experience working in an enterprise environment with a large number of users Previous experience with data warehouses and working with erroneous data Benefits Note: If interested please send your updated resume to elan.tamil@two95intl.com and include your salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

Well-established MSP is looking for a well-rounded candidate who can provide inside sales IT support for our customers and sales representatives. The ideal candidate should be well organized, detail oriented, and be able to work in a fast-paced environment, with a customer service mindset! Position Overview We’re seeking a detail-oriented and tech-savvy Inside Sales IT Support Specialist to join our team. This role bridges the gap between sales and technical support, helping configure solutions, build quotes, and support our sales reps with pre-sales technical expertise. Key Responsibilities • Collaborate with sales reps to develop accurate and competitive quotes for hardware, software, IT infrastructure, and services. • Configure technical solutions based on customer requirements, including computers, networking equipment, cloud services, and more. • Work closely with distributors, vendors, and manufacturers to obtain pricing, availability, and product information. • Provide pre-sales technical support, including product comparisons, compatibility checks, and solution recommendations. • Maintain up-to-date knowledge of IT products, services, and industry trends. • Assist in managing vendor relationships and negotiating pricing and terms. • Ensure all quotes and configurations meet company standards and customer expectations. Qualifications • 2+ years of experience in IT sales support, technical quoting, or related role. • Strong understanding of IT products and services (e.g., PCs, servers, networking, cloud solutions, software licensing). • Excellent communication and interpersonal skills. • Proficiency with quoting tools, CRM systems, and Microsoft Office Suite. • Ability to work independently and collaboratively in a fast-paced environment. • Experience working with vendors/distributors like Ingram Micro, TDSynnex, D&H, Dell, HP, Lenovo etc. is a plus. What We Offer • Competitive salary and performance-based bonuses. • Health, dental, and vision insurance. • Opportunities for professional growth and certification. • A collaborative and supportive team environment.

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

Senior Data Analyst positions offered by Capital One, National Association (McLean, Virginia). Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Position reports to McLean, VA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please apply online at: https://capitalone.wd12.myworkdayjobs.com/Capital_One, Reference Job ID: R225859.

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!

Data Scientist II positions offered by WarnerMedia Services, LLC (Burbank, CA). Work with managers and business stakeholders to fully understand business requirements and the desired outcomes of their science and analytics needs. Perform exploratory and predictive analysis with SQL, Python, R. Produce statistical and machine learning models that inform business initiatives. Offering salary range of $83,090 to $154,310 per year. Position reports to Burbank, CA office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office. Please submit resume to wbdi@wbd.com. Reference Job ID: 8387489.