Qt/QML Hybrid Software Engineer (1 year Contract)

Proficient in Mozaik computer software and CNC operator for manufacturing company. This is a specific job and only those who know this program should apply. Must be proficient in the English language and have transportation. Free Wednesday lunch.

Qualis LLC is seeking a highly experienced Golden Dome for America System of Systems Integration SME to provide expert-level technical leadership and mission integration support across a portfolio of highly classified space control, ground, and C2 systems. The successful candidate will lead and support system design, integration, test, and operational efforts for advanced space control systems—ensuring the alignment of technical architectures with mission requirements. Essential Duties: Serves as a senior technical authority for development and integration of highly classified space control systems, including space, ground, and command-and-control (C2) elements. Guides the maturation of emerging technologies through all Technology Readiness Levels (TRLs) from concept to deployment. Leads and contributes to the development of space system architectures, system-level technical requirements, and associated program documentation in support of ACAT-like programs. Provides systems engineering and program management expertise for information operations and multidomain space and airborne capabilities. Conducts system-level design reviews, technical audits, and risk assessments. Supports space situational awareness (SSA) architecture development and assess associated capability gaps and limitations. Offers technical leadership across multiple space control technologies including optical sensors, radar, SIGINT, electronic support measures, and communications systems. Leads the integration, test, and operations planning for ground system architectures in support of space control missions. Interfaces with government stakeholders to ensure technical solutions align with mission needs and strategic objectives. Requirements Required Qualifications: Active Top Secret clearance with SCI eligibility. Minimum of 15 years of experience in space systems engineering, systems integration, and technical program leadership. Demonstrated expertise in the full lifecycle of space system development—from architecture and design to test, integration, and operational fielding. Proven experience coordinating across classified programs and complex acquisition frameworks. Strong understanding of SSA capabilities, limitations, and future architecture needs. Track record of developing and managing high-level technical documentation, reviews, and artifacts for large defense programs. In-depth knowledge of space control mission areas and supporting ground infrastructure. Exceptional communication, coordination, and leadership skills, particularly in multi-agency or cross-domain environments. Preferred Qualifications: Advanced degree in Engineering, Physics, Space Systems, or a related technical discipline. Prior experience with ACAT I or II programs and DoD 5000-series documentation. Experience working within Special Access Programs (SAPs) or compartmented environments. Benefits Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment. Equal Opportunity Employer/M/F/Vet/Disabled and a Participant in E-Verify

Manager, Quantitative Analysis positions offered by Capital One Services, LLC (McLean, Virginia). Remain on the leading edge of analytical technology with a passion for the newest and most innovative tools. 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: R219456.

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.

Product Manager – Tech II positions offered by WarnerMedia Services, LLC (Silver Spring, MD). Partner with engineering, product, and business stakeholders to ensure a reliable and cost-effective enterprise software platform is built that meets immediate requirements and is flexible to allow for further evolution. Engage with key stakeholders from different WBD brands to understand current platform needs and anticipate future platform needs. Offering salary range of $150,426 to $180,000 per year. Position reports to Silver Spring, MD 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: 9058272.

Job Title: Senior Platform Engineer Location: Seattle, WA Employment Type: Full Time About Us: DMV IT Service LLC is a trusted IT consulting firm, established in 2020. We specialize in optimizing IT infrastructure, providing expert guidance, and supporting workforce needs with top-tier staffing services. Our expertise spans system administration, cybersecurity, networking, and IT operations. We empower our clients to achieve their technology goals with a client-focused approach that includes online training and job placements, fostering long-term IT success. Job Purpose: The Senior Platform Engineer will focus on designing, building, and maintaining infrastructure and automation tools to support scalable software platforms. The role involves working closely with cloud services, automation frameworks, and distributed system architectures to deliver efficient, reliable deployment pipelines and internal software solutions. Requirements Key Responsibilities Lead platform engineering efforts using tools such as Ansible, Docker, Kubernetes, and Terraform. Build and manage CI/CD pipelines, automate deployments, and maintain infrastructure as code. Develop and maintain automation scripts primarily using Python and shell scripting for system administration and data processing tasks. Design and implement internal software tools, leveraging strong software engineering and problem-solving skills. Work with complex distributed systems and microservices architectures to ensure scalability and reliability. Manage and optimize continuous integration and continuous delivery workflows including deployment automation, configuration management, and source code repository operations. Handle containerization and orchestration strategies for production deployments. Administer and architect both SQL and NoSQL databases. Collaborate within Agile/Scrum teams to deliver high-quality software solutions. Utilize monitoring tools such as Prometheus and Grafana to identify and troubleshoot performance and availability challenges in distributed environments. Address complex engineering problems through proactive investigation and resolution. Required Skills & Experience Minimum 8 years of professional experience in software engineering. At least 4 years of experience in application development. Over 4 years of expertise in automation and scripting, especially with Python. 8+ years building and managing automation/configuration management tools such as Ansible, Terraform, Chef, or Puppet. Proven track record of developing and maintaining CI/CD pipelines for 8+ years. 6+ years experience deploying production code using Docker containers. Hands-on experience with cloud platforms, preferably AWS and Azure, including both IaaS and PaaS services. Strong background in designing and operating large-scale distributed systems, with familiarity in technologies such as Java/Spring Boot, CQRS, event streaming (Kafka), and Apache Spark. Database knowledge across relational and NoSQL systems. Preferred Qualifications Experience with streaming technologies like Kafka, NATS, Kinesis, or Event Hub. Familiarity with Databricks or Apache Spark. Exposure to Elastic Search. Knowledge of API management tools such as Apigee. Experience using performance monitoring platforms such as Datadog or New Relic.