Enroll in the Software Boot Camp Online Today and Land a Tech Job

We are seeking individuals eager to pursue careers in technology. If you want hands-on coding practice, project experience, and preparation for developer jobs, this training program is for you. This program is remote and flexible, allowing full-time or part-time participation. With nearly 900 hours of training and project work, you’ll gain experience in programming languages, tools, and workflows while creating a strong résumé and portfolio. 🖥️ Technology & Programming Fundamentals -Learn the basics of computers, networks, browsers, and the internet -Study algorithms, security principles, data structures, and number systems -Practice Python scripting, command line tools, and flowcharting 💻 Web & Front-End Development -Build websites with HTML5, CSS3, and Bootstrap -Develop interactivity with JavaScript, jQuery, and React.js -Apply modern design and responsive layout practices 🗄️ Back-End & Database Development -Create and query databases with SQL and SQL Server -Perform CRUD operations and learn relational structures -Develop back-end apps in Python (Django) and C# (.NET Core) 🧑‍💻 Programming Languages & Tools -Learn seven core languages: C#, Python, JavaScript, HTML, CSS, SQL, and more -Use Git, GitHub, Visual Studio, and Team Foundation Server -Apply collaboration and version control like a professional developer 🧪 Capstone Projects -Complete two advanced projects (Python + C#) -Build portfolio-ready work with Agile, Scrum, and DevOps practices -Practice debugging, teamwork, and real coding challenges 🧰 Career Preparation -Learn résumé writing and cover letter development -Practice technical and whiteboard interview techniques -Prepare to enter the workforce as a junior developer 🚀 No experience needed. Remote participants encouraged. Start your journey in technology now. 👉 Apply here: https://softwaredevpros.online/

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.

Day shift, Full-Time with Benefits Monday-Thursday: 7 am-4:30 pm Friday: 8 am-noon $26/+ hr. +Monthly bonus program is paid when company-wide monthly sales goal is reached. Duties: - Create programs and nests for Bystronic and Amada Laser, based on customer PDF/STP files. - Create programs and nests for Amada EMLK Punch/Laser Combo. Requirements: - 2 years of SolidWorks experience. - Experience with SigmaNest is helpful. - Strong knowledge of manufacturing sheet metal parts - Knowledge of flat pattern layout and laser machines - Excellent attendance history - Ability to work in a team oriented, fast-paced environment This is a full-time position. We offer a full benefit package including 100% employer paid medical, dental and life insurance. Dependent coverage, short and long-term disability, AFLAC, and vision is voluntary is at employee cost. 401k, paid holidays and paid vacation round out our benefit package. We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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

American Precision Industries is seeking an experienced full-time CNC Mill Programmer for IMMEDIATE hire. HOURS: Day shift: M-Th, 10-hour shift, 6:00 am to 4:30 pm Salary: DOE ++Monthly bonus program is paid when company-wide monthly sales goal is reached. APPLY HERE:    https://americanprecisionindustries.com/employment-application/ or apply in person at: American Precision Industries 2480 NE Century Blvd. Hillsboro, OR 97124 PRIMARY PURPOSE:  Create programs using MasterCam to manufacture parts per blueprint specifications. REQUIREMENTS: * 5 yrs. experience with MasterCam programming software (2020 or above) * Experience with HEM (High Efficiency Machining) helpful * Experience with SolidCam helpful * Experience as a CNC mill machinist * Experience programming ferrous, non-ferrous metal and plastics * Skills to plan and program complicated parts according to blueprint * Strong knowledge of tolerance, blueprint reading and GD&T * Ability to work independently with little supervision * Excellent communication skills and willingness to work with others * Must have excellent work ethic and attendance * Attention to detail JOB DUTIES: * Program parts to be run on various Mori Seiki, DMG Mori and Doosan CNC Vertical, Horizontal, Horizontal, 5-Axis mills and Cells according to customer specifications. * Daily programming using MasterCam 2025 * Review blueprint and establishes a sequence of operations to produce product * Update programs with needed changes * Establish correct tools to use on each machine to manufacture the product * Design fixtures for CNC Mill runs * Produce set up sheet for operators * Determine size and availability of materials * Request materials for production through Purchasing * Daily communications with CAD Dept, operators and management to develop product as necessary * Review new jobs and determine priority * Review returned product and update documentation as necessary * Other duties as assigned We offer a full benefit package to employees working full-time at 30+ hrs. per week.  This includes 100% employer paid medical, dental and life insurance. Dependent coverage, short and long-term disability, AFLAC, and vision are voluntary at employee cost. 401k, paid holidays and paid vacation round out our benefit package. We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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 We are currently searching for 2 ML/AI Engineers with a solid software engineering backbone who are able to prototype, evaluate, improve, and productionize end-to-end Machine Learning projects with enterprise data. For representative examples of the type of projects you would be expected to create or deliver, see our AI pipelines templates. If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is the job for you! You Will help design experimental end-to-end ML/AI pipelines contribute to addressing new use cases, beyond state of the art improve/adapt AI pipelines for production, working directly with client data (often live data streams) invent ways to pre-process data sources and perform tweaks (reranking, model paramater configuration...) for optimal performance of AI pipelines. design benchmark tasks and perform experiments. build unit tests and implement model monitoring. contribute high-quality production code to our developer frameworks, used by thousands of developers. help to pre-process data sets for LLM training. The results of your work will play a crucial role in the success of both our developer offering and client delivery. 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 A graduate of a 4+-year university degree in Computer Science, where you have received A-grades in both foundational courses (Algorithms, Computational Complexity, Graph Theory,...) and Machine Learning courses. Passionate about delivering high-quality code and solutions that work. Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up. Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc.). Experienced with model monitoring, git, build systems, and CI/CD. Respectful of others Curious of new technology - an avid reader of HN, arXiv feeds, AI digests, ... Fluent in English Bonus Points Successful track-record in algorithms (ICPC / IOI), data science contests (Kaggle), or a HuggingFace leaderboard. Showing a code portfolio. PhD in Computer Science. Authoring a paper at major Machine Learning conference. You like playing/tinkering with new tools in the LLM stack. You are already a part of the Pathway community, or have been recognized for your work in one of our bootcamps. Why You Should Apply Join an intellectually stimulating work environment. Be a technology innovator that makes a difference: your code gets delivered to a community of thousands of developers, and to clients processing billions of records of data. Work in one of the hottest AI startups, that believes in impactful research and foundational changes. Benefits Type of contract: Full-time, permanent Preferable joining date: January 2025. The positions are open until filled – please apply immediately. Compensation: competitive base salary (80th to 99th percentile) based on profile and location + Employee Stock Option Plan + possible bonuses if working on client projects. The stated lower band of EUR 72k/ USD 75k for the salary base concerns senior candidates; mid-senior or mid candidates may be considered with adapted salary bands. 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. As a general rule, permanent residence will be required in the EU, UK, US, or Canada. (Note for candidates based in India: We are proud to be part of the current Inter-IIT as well as a partner of ICPC India. Top IIT/IIIT graduates are more than welcome to apply regardless of current location.) If you meet our broad requirements but are missing some experience, don’t hesitate to reach out to us.