Lead Software Engineer, Trading Systems

About Agent Vista Agent Vista is a modern, tech-forward insurance agency that runs on an AI-native brokerage platform. Our mission is to leverage the latest technology and innovation in the market to create better outcomes for our agents, customers, and local communities. We are reimagining and simplifying the “agent desktop”. This allows our agents to spend 100% of their time on what matters most–the customer. Our platform evolves based on agent, customer, and carrier behavior, with natural language interfaces that make complex workflows feel effortless. If you're passionate about building cutting-edge AI and agentic workflows to solve real-world problems and re-shape an industry that impacts millions, Agent Vista is your next big move. Role Overview We're seeking an experienced Frontend Engineer to architect and build modern, responsive web applications that serve as the customer-facing component of our AI-native insurance agency platform. You'll create intuitive interfaces that leverage our AI capabilities to simplify complex insurance processes for agents and policyholders alike. In this role, you'll collaborate cross-functionally with Product, Engineering, Business, Data, Finance, and Operations teams to scale operational effectiveness in our high-growth environment. What You'll Do Collaborate with product and design teams to integrate AI-driven features (e.g., autocomplete, summarization, natural language queries) directly into the front end. Leverage tools like  Spring AI to orchestrate client-agent interactions within enterprise workflows Utilize agent-based IDEs (e.g. Cursor) to accelerate front-end and full-stack development workflows, achieving significant gains in development velocity and reducing time-to-deploy for GenAI features Design and develop intuitive, high-performance enterprise web applications using Next.js, React, Tailwind CSS, and related technologies Implement robust testing strategies including component, integration, and end-to-end tests using Cypress, Jest, and React Testing Library Build responsive interfaces that work seamlessly across devices and browsers Collaborate closely with product managers, designers, and backend engineers to transform requirements into exceptional user experiences Design scalable frontend architecture with modular components and minimal technical debt Optimize application performance including load times, rendering efficiency, and overall user experience Implement and maintain CI/CD workflows using Git, GitHub Actions, or similar tools Write clean, maintainable code following best practices and industry standards Participate in code reviews and provide constructive feedback to team members Requirements What You Bring Bachelor's degree in Computer Science or related fields (or equivalent practical experience) 5+ years of experience building web applications with React and related technologies Extensive experience with modern JavaScript (ES6+) and TypeScript Strong command of HTML, CSS, and CSS frameworks like Tailwind CSS Comfort working with streaming and real-time AI outputs (e.g., token-level updates, WebSockets, server-sent events). Proficiency in modern front-end frameworks such as React (preferred), Vue, or Svelte, with deep understanding of component-based architecture and state management. Experience integrating AI/ML APIs (e.g., OpenAI, Amazon Bedrock,  Anthropic) into production web applications. Understanding of human-AI interaction principles, including how to present, explain, and control AI-generated content responsibly. Experience with automated testing frameworks (Cypress, Jest, React Testing Library) Familiarity with CI/CD pipelines and deployment processes Proficiency using version control systems (Git) and collaborative development workflows Experience with responsive design and cross-browser compatibility Strong problem-solving abilities and attention to detail Preferred Qualifications Experience with Next.js framework and server-side rendering concepts Knowledge of state management solutions (Redux, Zustand, Context API, etc.) Experience integrating with AI/ML features or working with LLM-powered applications Understanding of performance optimization techniques for web applications Experience with GraphQL or RESTful API integration Familiarity with cloud services (AWS, Vercel, Azure, GCP) Experience working in a regulated industry (insurance, finance, healthcare) Experience with micro-frontend architecture What Makes You Stand Out Previous experience in Insurtech or Fintech domains Experience implementing AI/ML solutions in production environments Experience implementing analytics and user tracking systems Understanding of design systems and component libraries Benefits At Agent Vista, we’re reimagining the insurance experience from the ground up—making it faster, smarter, and more human. We’re a tight-knit, driven team that believes in the power of technology, great design, and personal relationships to solve real-world problems. What sets us apart is our culture: collaborative, supportive, and entrepreneurial. Your ideas matter here. You’ll have room to take ownership, move fast, and make a measurable impact on both the company and the industry. We Offer: Competitive compensation and equity  Flexible, hybrid-friendly work environment  Comprehensive health, dental, and vision insurance  401(k) plan  Generous PTO and paid holidays  Support for professional development and growth  A culture of trust, transparency, and autonomy  Opportunities to shape the future of Insurtech  If you’re excited to help build something from the ground up—and have some fun along the way—you’ll fit right in.

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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

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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!

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