Full Stack .Net Developer

Role: Java Developer Location: Philadelphia, Philadelphia, PA Mandatory skills: Java, Spring, Jenkins, Tomcat, Python, MySQL, GIT, Test Automation Framework Development Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, or a related technical field Define and develop test automation using the following: Java J2EE, Spring, Jenkins, Tomcat, Python, MySQL, GIT and Maven Deploy using Agile or Scrum in a DevOps environment. Additional advantage having +1 year of experience or domain in developing in video and broadband product architecture utilizing RDK/TDK suite. Key Job Responsibility: +5 years DevOps Practices: •Full Lifecycle Ownership: Oversee solutions through their entire lifecycle, from design to production deployment. •Comprehensive Solutioning: Design, develop, execute, train, operationalize, monitor, and triage end-to-end solutions. Focus on enhancing process quality and predictability. •Observability and Oversight: Improve observability to ensure comprehensive oversight of the end-to-end release readiness process. •Process Optimization: Develop and implement process improvements to boost team velocity and efficiency. •Collaboration and Integration: Work closely with other engineers, integrating business and functional priorities into solutions. Act as a key contributor in complex, high-stakes environments. •Operationalization: Successfully operationalize solutions in production to ensure seamless functionality and impact. 2.+5 years BDD and Test Automation Expertise: •Have a good understanding of Business-Driven Development strategy. •Explore advanced topics such as test data management, scenario refactoring, and integrating BDD with continuous integration/continuous deployment (CI/CD) pipelines. •Develop, and execute high-quality test plans efficiently on RDK stacks while leveraging automation and tooling to detect defects quickly and ensure the reliability of test coverages. 3. +5 years Tooling and Test Automation Infrastructure: •Get familiar with automation tools and frameworks for test development, execution, and reporting. •Maintaining test automation, including selecting appropriate tools, configuring environments, and integrating with version control systems. 4. +5 years Reliability Engineering and Process Optimization: •Explore strategies for optimizing validation coverage for home setups, standalone. •Practice DevOps to reduce the time between testbed delivery and acceptance by the receiving teams with reliability metrics 5. Collaboration and Communication Skills: •Effectively communicate and collaborate within the team and with stakeholders. •Practice agile methodologies to enhance teamwork and productivity. •Participate in cross-functional activities such as joint sprint planning, backlog grooming, and retrospective meetings to foster alignment and shared understanding across teams. 6. Continuous Learning and Improvement: •Practice continuous learning and improvement for ongoing skill development and career growth. •Stay updated on industry trends and best practices. •Put the team first. Value individual growth and collective success. 7. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products, and services, especially our digital tools and experiences. 8. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs, and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion & diversity. Do what's right for each other, our customers, investors, and our communities.

Core Systems, a leader in rugged computer and server solutions for mission-critical defense and industrial applications, is seeking a Computer Repair Technician to join our RMA and repair operations team. This position focuses on diagnosing, troubleshooting, and repairing customer-returned products and Core Systems–built servers. Resume Required. Key Responsibilities Perform diagnostics, troubleshooting, and repair on returned computer systems, servers, and components. Process RMA units through inspection, testing, and documentation. Repair hardware at the system, component, and board level when required. Assist in root cause analysis and corrective action reports for customer returns. Work closely with engineering and production teams to support continuous improvement. Maintain accurate service records and ensure timely turnaround of customer units. Qualifications Proven hands-on experience repairing computer systems, servers, or related IT hardware. Strong knowledge of hardware components (motherboards, CPUs, memory, storage, power supplies, etc.). Experience with diagnostic tools and test equipment. Ability to read schematics and follow technical documentation. Detail-oriented, organized, and able to work under time-sensitive conditions. Previous experience in an RMA/repair environment is a MUST. Familiarity with ruggedized or military/industrial computer systems a plus. What We Offer Competitive pay and benefits package. A chance to work with cutting-edge technology in the defense and industrial markets. Collaborative, supportive team environment. Opportunities for growth and advancement within the company.

Role: Java Developer with Web Crawler Experience Location: Austin TX(Hybrid) Responsibilities: 1. Web Crawler Development: Design and implement efficient and scalable web crawlers in Java to collect data from various online sources. 2. Data Extraction: Develop and maintain systems for structured data extraction, handling various data formats (HTML, JSON, XML, etc.). 3. Data Storage and Processing: Design data storage and processing pipelines, ensuring extracted data is clean, structured, and easily accessible. 4. Performance Optimization: Optimize web crawling processes for speed, efficiency, and accuracy, while ensuring minimal impact on source websites. 5. Error Handling and Logging: Implement error-handling mechanisms and logging systems to detect and resolve issues during crawling operations. 6. Data Integrity and Compliance: Ensure data collection practices are ethical, legal, and compliant with relevant regulations (e.g., robots.txt, copyright laws). Requirements: Proficiency in Java and experience with Java-based web scraping libraries (e.g., Jsoup, Apache HttpClient). Knowledge of web crawling frameworks and tools, such as Scrapy, Selenium, or Puppeteer. Strong understanding of HTML, CSS, JavaScript, and web data structures. Familiarity with data parsing and handling techniques for JSON, XML, and other common formats. Experience with database technologies (SQL, NoSQL) to store and manage scraped data. Knowledge of HTTP protocols, headers, proxies, and load handling.

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

About Pathway Pathway is building LiveAI™ systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think. The team is made up of AI luminaries. Pathway's CTO, Jan Chorowski, co-authored papers with Geoff Hinton and Yoshua Bengio and was one of the first people to apply attention to speech. Our CSO, Adrian Kosowski, received his PhD in Theoretical Computer Science at the age of 20 and made significant contributions across numerous scientific fields, including AI and quantum information. He also served as a professor and a coach for competitive programmers at Ecole Polytechnique. The team also includes numerous world's top scientists and competitive programmers, alongside seasoned Silicon Valley executives. Pathway has strong investor backing. To date, we have raised over $15M; our latest reported round was our seed. Our offices are located in Palo Alto, CA, as well as Paris, France, and Wroclaw, Poland. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Requirements Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Benefits Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled – please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.

Please attach resume to be considered. Royalty Staffing is currently hiring Autonomous Vehicle Operators in Las Vegas for our client who is a growing ride-share company. This is an excellent opportunity to be at the forefront of turning the company's vision into reality. We're looking for operators who are disciplined, team players, and believe in doing whatever it takes to accomplish the mission. Working as a VO will give you the opportunity to learn vehicle and personnel operations. You'll have a front-row seat to the operational complexities of realizing autonomous mobility and the chance to contribute to the future. Weekend shifts add 5% per hour in bonus pay! Night shifts starting at 1 p.m. or later add an additional 2% per hour in bonus pay (7% total on weekends)! Location – Las Vegas, NV Work environment – Onsite/field Pay rate - 25.00 USD Per Hour Assignment duration – Ongoing contract Hours: • Day Shift: 5:45am-2:15pm, 6:45am-3:15pm, or 7:45am-4:15pm • Night Shift: 1:45pm-10:15pm, 2:45pm-11:15pm, 3:45pm-12:15am, or 5:45pm-2am Days: • Wednesday-Sunday • Thursday-Monday • Friday-Tuesday • Saturday-Wednesday RESPONSIBILITIES Support vehicle operations. Drive 4-8 hours a day with a priority on safety. Conduct basic software operation tasks. Support missions through a wide variety of roles in and out of vehicles. Assist with documentation and metrics. Provide accurate written and oral feedback to engineering teams. Support vehicle maintenance and logistics. Conduct daily basic vehicle preventative maintenance checks, services, and repairs. Provide logistical support for the movement and storage of vehicles and equipment. Ensure the readiness and cleanliness of vehicles, equipment, and the workplace. Assist with paperwork and documentation related to vehicle readiness. REQUIREMENTS Basic vehicle knowledge to perform vehicle checks, ability to drive for long duration (6 hours in the car per day) Basic technology ability Excellent written and verbal communication skills Excellent driving history and no criminal history Proactive mindset and resourcefulness Bachelor's degree or equivalent technical experience is a plus BENEFITS Pre-tax commuter benefits Employer Subsidized healthcare benefits Flexible Spending Account for healthcare-related costs All costs for short- and long-term disability and life insurance 401k package