Junior .NET Developer (Hybrid - remote/on-site at client office) (Midlothian, VA)

NimbleRx, Inc. in Redwood City, California seeks a Software Engineer. Responsibility: Responsible for designing, building, and implementing software solutions to optimize and scale the Nimble platform and related technologies. Duties include: developing highly scalable software using innovative computer science and software engineering principles; creating product features and designing easy-to-use APIs, systems, and tools while ensuring proper protocols are in place to rapidly roll out upgrades and new features; developing a user-friendly interface using React, Java Spring, and PostgreSQL; building internal tools to support performance, reliability, and scalability; and other duties as assigned. Salary range $162,000 - $182,000. Eligible for standard benefits. Employee may be stationed anywhere within commuting distance of our Redwood City, CA office and will work in office 2 days per week. Education: Master’s degree in Computer Science, Software Engineering, or related field (or foreign equivalent). Requirements: 1 year of experience in the job offered or related. Other special requirements include: 1 year of experience working with Java, Ruby, Python, or similar programming languages; 1 year of experience developing API’s, services, and platform development; 1 year of experience developing user-facing applications using React, Flutter, or similar; and 1 year of experience working with distributed codebases on cross-functional teams. Please mail resumes to Attn: Eva Lee 2317 Broadway, Redwood City, CA 94063 quoting job #NIMSE25.

Platform Engineer - AI Tool & Integration Position Overview: The Data Analytics & AI department at RCG is seeking a highly skilled and experienced Software & Platform Engineer to join our team. This pivotal role requires a strong technical background in AI tooling, data platform architecture, cloud computing, and big data technologies. The successful candidate will be responsible for all tooling and integration with GenAI LLM, maintaining our Azure platform with OpenAI, and leveraging Databricks Mosaic AI. This role will be instrumental in driving innovation, ensuring seamless integration, and optimizing our AI and data platforms to meet the evolving needs of the business. Key Responsibilities: • Design, develop, and maintain tooling and integration for GenAI LLM and other AI models. • Manage and optimize our Azure platform, ensuring seamless integration with OpenAI and Databricks Mosaic AI. • Collaborate with cross-functional teams to identify and implement innovative AI solutions to enhance our platform capabilities. • Stay up to date with the latest advancements in AI and machine learning technologies to drive continuous improvement and innovation. • Develop and implement best practices for AI model deployment & scaling. • Design and execute integration strategies for incorporating large language models (LLMs) and CoPilot technologies with existing business platforms. • Assess and recommend suitable LLM and CoPilot technologies that align with business needs and technical requirements. • Conduct feasibility studies and proof-of-concepts to validate the integration of new tools and technologies. • Keep abreast of the latest advancements in LLM, CoPilot, and related technologies to identify opportunities for further innovation and improvement. • Understand and leverage MS CoPilot and MS CoPilot Studio for enhanced productivity and collaboration within the development team. • Integrate MS CoPilot tools into existing workflows and ensure seamless integration with other systems and applications used by the team. • Work closely with product managers, data scientists, and other stakeholders to gather requirements and ensure successful integration of LLM and CoPilot technologies. Requirements: • Bachelor’s or Master’s degree in computer science, Engineering, or a related field. • Proven experience in software/system/platform engineering, with a focus on AI tooling and integration. • Strong expertise in working with Azure, including managing and integrating AI services such as OpenAI and Databricks Mosaic AI. • Proficiency in programming languages such as Python, Java, or C++. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Solid understanding of software development methodologies, including Agile and DevOps practices and tools for continuous integration and deployment. • Understanding of data security best practices and compliance requirements in software development and integration • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. • Strong communication and collaboration skills. Preferred Qualification: • Strong proficiency in one or more programming languages such as Python, Java, C#, or JavaScript. • Experience with large language models (LLMs) and familiarity with tools like OpenAI GPT, Google BERT, or similar. • Hands-on experience with Databricks for data engineering, data science, or machine learning workflows. • Proficiency in using Databricks for building and managing data pipelines, ETL processes, and real-time data processing. • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Hands-on experience with Microsoft CoPilot and CoPilot Studio. • Proficiency in working with APIs, microservices architecture, and web services (REST/SOAP). • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their integration services. • Knowledge of database systems, both SQL and NoSQL (e.g., MySQL, MongoDB). • Knowledge of natural language processing (NLP) and large language models (LLMs). • Previous experience in a similar role within a technology-driven organization. • Certifications in Azure, AI, or related areas.

Senior Data Analyst positions offered by Capital One, National Association (Richmond, Virginia). Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Position reports to Richmond, 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: R226052

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. We are seeking a Senior AI/ML Computer Vision Engineer to drive the development and deployment of AI-powered features across our smart home automation product lines, which includes smart security cameras, video doorbells and autonomous vacuum cleaners. This role is crucial for optimizing real-time machine learning inference and video analytics at the edge, ensuring seamless integration with cloud infrastructure while maximizing performance and efficiency. The ideal candidate has a strong background in embedded AI, computer vision, and real-time video processing with hands-on experience in deploying and optimizing ML models on constrained edge devices. Responsibilities Lead the development of ML-based computer vision pipelines for real-time object detection, tracking, and classification across cameras, radar, LiDAR, and other sensors Utilize multi-sensor fusion techniques, combining video, audio, and radar/LiDAR data to enhance smart device intelligence. Optimize deep learning models for low-latency inference on embedded hardware (e.g., TensorFlow Lite, ONNX Runtime, OpenVINO, NVIDIA Jetson, Coral Edge TPU). Implement quantization, pruning, and model compression to maximize performance on edge devices. Collaborate with cloud team to develop edge-to-cloud data pipelines Requirements Required Qualifications Master’s degree in computer science or related field 3-7 years of experience in embedded AI, edge computing, and computer vision. Strong proficiency in Python for embedded AI development. At least 4 years of experience in deep learning frameworks such as TensorFlow, PyTorch and Darknet Expertise in machine learning model deployment on resource-constrained edge devices. Proficiency in image/video processing and computer vision tools such as PIL/Pillow, gstreamer, FFmpeg, OpenCV Able to simultaneously manage multiple projects Desired Qualifications Familiarity with state-of-the-art deep learning models for image segmentation and object detection Experience in Ensembling methods for combining multiple ML models Knowledge of low-power optimization techniques for AI inference on edge hardware. C/C++ Benefits Salary range: $130,000-$180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

APPLY HERE Are you looking to earn money from home? Join our expanding virtual team and engage in online tasks that are both enjoyable and well-compensated. Your Role: Complete interactive online tasks in the gaming sector (training included). Track your progress and earnings through our user-friendly platform. Experience a variety of tasks that keep your activities interesting. Perks & Compensation: Competitive Pay: Earn $500-$1,200 for a 20-hour commitment. Consistent opportunities for proven performers. Flexible Schedule: Work on your own time. No Experience Needed: Full onboarding and support provided. Next Steps: Click "APPLY NOW" below for a simple application process. We respond to all applicants within two working days. Testimonial: “Working with them has been fun! It pays really well and fast too. I've been working with them for 2 months and have nothing but good things to say. I've earned enough extra money to go on a 5-day cruise!" - Jenn M APPLY NOW

As a Site Reliability Engineer at iSoftTek Solutions Inc, you will be responsible for ensuring the reliability, performance, and scalability of our applications and infrastructure. You will work closely with development teams to identify and resolve issues, implement automation and monitoring solutions, and optimize system performance. We are looking for a candidate who is passionate about system stability and has a strong background in Linux systems administration, scripting, and automation. The ideal candidate should have experience with cloud platforms such as AWS or Azure, as well as knowledge of containerization technologies such as Docker and Kubernetes. Requirements Requirements: 3+ years of experience as a Site Reliability Engineer or similar role Strong Linux systems administration skills Experience with scripting languages such as Python or Bash Knowledge of cloud platforms such as AWS or Azure Experience with containerization technologies such as Docker and Kubernetes Proficiency in using monitoring and alerting tools such as Prometheus, Grafana, or Nagios Understanding of networking protocols and concepts Strong problem-solving and troubleshooting skills Ability to work in a fast-paced and collaborative environment BS or MS degree in Computer Science or a related field Benefits What We Offer: Swift growth opportunities from both a financial and career perspective Financial security through competitive compensation, incentives, and retirement plans 100% paid medical insurance Paid vacation & time off 401(k) retirement savings with a generous company match Charity participation and matching The stability of a company with a record of strong financial performance for over two decades; Never had a lay-off and is 100% organically grown