Freelance Software Developer (Python Engineer) - AI Trainer

About Us: 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.    Overview: At TP-Link Systems Inc., we are at the forefront of developing networking solutions that power millions of connections worldwide. As a Staff Cloud Software Engineer, Backend, you will play a crucial role in architecting the backbone of our cloud services. This position is tailored for a technical virtuoso who is passionate about building sophisticated backend systems that are not only scalable and efficient but also pioneering in the realm of cloud computing.   In this role, you will lead initiatives to design and implement robust backend architectures that support our vast range of network devices. Your expertise will drive the development of systems that handle massive amounts of data and transactions securely and seamlessly. By collaborating with cross-functional teams and utilizing cutting-edge technologies, you will enhance our ability to deliver premium services to our customers.   This opportunity is perfect for someone who seeks to tackle complex challenges and is eager to make a significant impact on the technological landscape. If you are driven by innovation, excellence, and the desire to develop systems that improve connectivity across the globe, we encourage you to apply and help shape the future of our technological solutions. Key Responsibilities: ·         Architect and lead the development of highly scalable and reliable backend services using advanced cloud-native technologies. ·         Drive the integration process with frontend engineers and cross-functional teams to ensure cohesive and seamless execution. ·         Evaluate and adopt state-of-the-art cloud technologies and methodologies to enhance application scalability, performance, and reliability. ·         Lead optimization initiatives for backend systems focusing on performance, scalability, and cost-efficiency. ·         Design and implement comprehensive security strategies to protect data and maintain application integrity. ·         Mentor and guide a little team of engineers, promoting best practices in coding, testing, and deployment. ·         Spearhead the automation of infrastructure provisioning and deployment frameworks. ·         Resolve sophisticated backend issues and provide strategic solutions to complex technical challenges. ·         Lead code reviews and continuously promote technical excellence. ·         Stay up to date on the latest cloud technologies and best practices. Requirements Qualifications: Master’s degree in Computer Science, Software Engineering, or a related field preferred. 7+ years of experience in cloud backend software development with proven leadership in managing substantial projects. Expertise in backend programming languages such as Java, and frameworks like SpringBoot. Deep understanding of JVM, multithreading programming, and performance optimization. Extensive experience with major cloud platforms (AWS, Azure, OCI) and cloud-based databases (e.g., MongoDB, SQL databases). Proficiency in distributed systems, including middleware such as message queues. Advanced knowledge in containerization technologies (Docker, Kubernetes) and modern backend technologies. Demonstrated capability in security best practices for cloud environments. Excellent communication, collaboration, and problem-solving skills. Ability to work effectively in a team environment. Preferred Qualifications: Proven track record with DevOps, serverless architectures, and SDN Software Controller Platforms. Experience with AI Ops and automation tools. Benefits Benefits:  Salary range: $140,000 - $200,000   Fully paid medical, dental, and vision insurance (partial coverage for dependents Contributions to 401k funds Over four weeks of PTO per year Bi-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 for this job  

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

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

We are looking for driven, motivated individuals eager to launch a lasting career in technology. If you want to gain practical coding skills, work on professional projects, and prepare for entry-level developer roles, this guided training program is designed for you. This remote program can be completed part-time or full-time, with nearly 900 hours of structured training and hands-on projects. You’ll master industry-standard languages, developer tools, and workflows—while building a polished portfolio and resume to secure employment as a Software Developer. 🖥️ Technology & Programming Fundamentals • Understand how computers, networks, browsers, and the internet operate • Explore algorithms, data structures, number systems, and security basics • Gain hands-on experience with Python scripting, command line tools, and logic flow 💻 Web & Front-End Development • Create websites with HTML5, CSS3, and Bootstrap styling • Build dynamic, interactive web pages using JavaScript, jQuery, and React.js • Apply responsive design and modern UI principles 🗄️ Back-End & Database Development • Work with SQL and SQL Server to design and manage databases • Perform CRUD operations and study relational database systems • Develop robust back-end systems with Python (Django) and C# (.NET Framework/Core) 🧑‍💻 Programming Languages & Tools • Learn seven major programming languages: C#, Python, JavaScript, HTML, CSS, SQL, and more • Use Git, GitHub, Visual Studio, and Team Foundation Server • Practice collaborative coding with professional version control methods 🧪 Capstone Projects • Complete two real-world projects (Python + C#) to apply your knowledge • Gain Agile, Scrum, and DevOps experience for portfolio-ready results • Strengthen debugging, teamwork, and problem-solving skills 🧰 Career Preparation • Receive guidance in resume writing, cover letter strategies, and job search skills • Practice whiteboarding and technical interviews • Prepare confidently for entry-level software and web developer opportunities 🚀 No experience necessary. Open to remote participants. Take the next step toward your career in technology. 👉 Apply now: https://softwaredevpros.online/

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!

PLEASE FORWARD RESUME FOR CONSIDERATION Royalty Staffing is currently hiring Autonomous Vehicle Operator in San Francisco 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. We are currently hiring for multiple schedules, with bonus pay for weekend and night shifts with a start time of after 3pm (i.e. the weekend day shift offers an added 5% per hour and weekend night shift offers an added 10% per hour). Location – San Francisco, CA Work environment – Onsite/field Pay rate - 29.00 USD Per Hour Assignment duration – Ongoing contract SCHEDULE 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