Senior Full Stack Engineer at monks | Cupertino, CA

Gridmatic is a dynamic and innovative startup revolutionizing the energy sector by providing affordable and clean power solutions through the optimization of renewable energy sources and grid-scale battery systems. With a strong presence in the Bay Area and Houston, we fuse Silicon Valley's cutting-edge innovation with extensive, practical expertise in energy markets and retail.As renewable sources like solar and wind rapidly grow, the variability in weather and grid conditions leads to increased energy price volatility. Gridmatic addresses this challenge through advanced forecasting and optimization techniques, allowing our team to tackle significant issues that impact the energy landscape. Our core operations revolve around forecasting and trading energy, utilizing large-scale data—such as weather patterns, pricing, demand loads, and grid conditions—to create probabilistic machine learning forecasts that inform critical operational decisions. Our efforts directly influence when energy is purchased, stored, or deployed, transforming uncertainties into value for our customers and the grid.Our measurable impact speaks for itself. Gridmatic stands as the most profitable participant in the ERCOT wholesale market and manages the top-performing battery asset within CAISO. Operating without venture capital, we cultivate a collaborative, low-ego culture that prioritizes rigorous thinking, autonomy, and continuous learning.

Join Gridmatic as an Energy Systems Research Engineer Intern and dive into the world of energy systems innovation! As a vital part of our team, you will engage in groundbreaking research and development projects aimed at optimizing energy solutions. You will collaborate with experienced engineers and researchers, contributing to the design and implementation of cutting-edge technologies. This internship offers the perfect opportunity to enhance your skills and gain hands-on experience in a fast-paced, innovative environment.

Join Gridmatic, a rapidly expanding startup redefining the energy sector by providing affordable, eco-friendly power solutions through the optimization of renewable energy sources and grid-scale batteries. With offices strategically located in the Bay Area and Houston, we combine Silicon Valley's innovative spirit with extensive expertise in practical energy markets and retail.As solar and wind energy emerge as the primary contributors to electricity generation, the variability in weather and grid conditions leads to fluctuating energy prices. Gridmatic confronts this challenge head-on with cutting-edge forecasting and optimization techniques, allowing our team to engage in meaningful work that impacts the future of energy. Our core operations involve forecasting and trading energy, utilizing vast datasets—comprising weather, price trends, energy load, and grid conditions—to create machine learning forecasts that inform critical operational decisions. This directly influences when energy is procured, stored, or utilized, transforming uncertainty into tangible benefits for customers and the grid.Our achievements are quantifiable: Gridmatic is recognized as the most profitable participant in ERCOT’s wholesale market and operates the leading battery asset in CAISO. We have achieved profitability without relying on venture capital, fostering a collaborative, low-ego culture that values analytical thinking, independence, and ongoing learning.In the past 18 months, our energy sales have surged by approximately 100 times, and we aim to amplify this growth tenfold to establish ourselves as a gigawatt-scale energy retailer, positioning us as a frontrunner in the renewable energy landscape.To accomplish this, we are developing automated systems and tools to simplify the onboarding of large industrial energy clients, including data centers and flexible load businesses. The complexities surrounding pricing, usage forecasting, and contract negotiations necessitate a sophisticated platform for automation. While traditional energy companies rely on large sales teams, we are determined to achieve significant growth with fewer than ten sales professionals.We are on the lookout for talented product engineers who can help realize this ambitious vision. Ideal candidates will thrive in a fast-paced environment, excel at shipping and iterating on projects, and possess the ability to collaborate effectively with stakeholders to determine product development priorities.

Join Horizon Robotics to Enhance Human Safety and Quality of LifeAbout Horizon RoboticsHorizon Robotics (HKEX: 9660) stands at the forefront of Smart Driving technology, delivering innovative solutions for passenger vehicles through our proprietary software and hardware. Our cutting-edge algorithms, tailored software, and processing hardware form the backbone of smart driving technologies, enhancing the safety and experience for both drivers and passengers. Horizon Robotics is a pivotal force in the transformation and commercialization of smart vehicles, with our integrated solutions deployed on a large scale.The Silicon Valley Research Lab is dedicated to pioneering novel algorithms and technologies that enable machines to acquire knowledge and skills as proficiently as humans. We are seeking an enthusiastic Research Scientist with a strong background in machine learning research, particularly in Robotics, Embodied AI, and Reinforcement Learning (RL). As a Research Scientist, your responsibilities will include conducting specialized research, collaborating with top-tier researchers and engineering teams, and contributing to the advancement of artificial general intelligence (AGI). You will: Identify and formulate research challenges aimed at solving AGI.Design, develop, and assess algorithms, models, and prototypes for AI systems.Work collaboratively with team members to reach research objectives.Present and disseminate research findings in prestigious academic journals and conferences. We are looking for candidates who possess: A PhD degree (or nearing completion) in computer science, machine learning, robotics, or a related field, with extensive knowledge of machine learning theories and methodologies.A proven track record of generating and implementing innovative ideas in the AI domain.Exceptional skills in mathematically modeling real-world problems.Proficiency in implementing algorithms and AI systems.An eagerness to learn and adapt to new challenges.A deep passion for artificial general intelligence and a commitment to conducting rigorous research.Experience in one or more AI fields such as machine learning, natural language processing, computer vision, reinforcement learning, robotics, or large language models. Note: Applicants must be eligible to work in the U.S. at the time of hire and maintain work authorization throughout their employment. This position offers a hybrid work environment, with an expectation of working at least three days per week in our Cupertino office.

Join Gridmatic, a pioneering startup revolutionizing the energy sector by delivering affordable and clean power through the optimization of renewable energy and grid-scale batteries. Located in the heart of the Bay Area, we fuse Silicon Valley innovation with profound expertise in energy markets and retail.As the demand for solar and wind power surges, we face the challenge of market volatility driven by weather and grid conditions. Gridmatic addresses this with cutting-edge forecasting and optimization solutions, enabling our team to tackle significant issues. Our core activities revolve around energy forecasting and trading, where we analyze extensive data sets—such as weather, pricing, load, and grid conditions—to develop probabilistic machine learning forecasts that inform crucial operational decisions. Our work directly influences the timing of energy purchases, storage, and deployment, transforming uncertainty into value for our customers and the grid.Our measurable impact is evident: Gridmatic stands as the most profitable participant in ERCOT’s wholesale market and manages the leading battery asset in CAISO. Without reliance on venture capital, we foster a collaborative, low-ego environment where rigorous thinking, autonomy, and continuous learning are integral to our culture.The RoleWe are seeking a Senior Software Engineer to become a vital member of our Platform team, responsible for constructing the foundational infrastructure that powers Gridmatic. The challenges within our platform are shaped by the dynamic nature of energy markets: forecasting and trading decisions must be executed on tight schedules, battery dispatch commands require real-time reliability, and machine learning models need to be continuously trained and deployed as new data is available.

Gridmatic is a cutting-edge startup that is reshaping the energy sector by providing affordable, clean energy solutions through the optimization of renewable resources and grid-scale batteries. With a strong presence in both the Bay Area and Houston, we blend innovative thinking typical of Silicon Valley with robust, practical expertise in energy markets and retail.As solar and wind energy emerge as the fastest-growing electricity sources, the fluctuations caused by weather conditions and grid dynamics lead to greater volatility in energy prices. At Gridmatic, we confront this challenge head-on with advanced forecasting and optimization techniques, empowering our team to solve meaningful problems. Our core operations revolve around energy forecasting and trading, utilizing extensive datasets—weather patterns, pricing, load data, and grid conditions—to develop probabilistic machine learning forecasts that inform critical operational decisions. This work directly influences when energy is purchased, stored, or utilized, transforming uncertainty into tangible value for our customers and the grid.Our success is quantifiable. Gridmatic stands as the most profitable entity in ERCOT’s wholesale market and operates the leading battery asset in CAISO. Without relying on venture capital, we foster a collaborative, low-ego work culture, where rigorous analysis, autonomy, and ongoing learning are fundamental principles.About Us:Gridmatic is on a mission to decarbonize the grid utilizing deep learning to enhance energy price forecasting. We believe that improved forecasting can significantly impact energy consumption and climate change. As extreme weather events become more frequent, the volatility in energy prices escalates—an example being the Texas market where prices can surge up to 50 times higher during extreme conditions. In such instances, the necessity for accurate forecasting becomes paramount.We leverage our machine learning (ML) forecasting and optimization capabilities to participate in energy markets, enhance the efficiency of large-scale battery storage systems, and supply energy to businesses, shielding them from severe price fluctuations. Our deep learning models have achieved substantial success in energy trading, currently managing multiple significant battery systems (50MW+) and providing energy to hundreds of businesses.We boast a formidable team with extensive expertise in ML, energy, and optimization. If you are passionate about tackling intricate real-world challenges, working with large-scale data, and applying ML to climate and energy solutions, we would be thrilled to connect with you.The Opportunity:We seek a skilled engineer to spearhead the scaling and reliability of our data infrastructure, which is essential to the machine learning initiatives at Gridmatic.

Join our dynamic team at Sonsoft, Inc. as an Infrastructure Lead Engineer. In this pivotal role, you will be responsible for leading the design, implementation, and maintenance of our infrastructure systems. You will work closely with cross-functional teams to ensure our infrastructure supports our business objectives efficiently and effectively.As an Infrastructure Lead Engineer, you will leverage your expertise to create robust infrastructure solutions, troubleshoot complex issues, and drive continuous improvement initiatives. Your leadership will guide a team of engineers, fostering a culture of innovation and excellence.

About the Role Monks is looking for a Battery Test Engineer in Cupertino, California. This role focuses on testing battery technologies to confirm performance, reliability, and safety standards. The engineer will collaborate with design teams and other stakeholders to validate new battery designs and refine current products. What You Will Do Conduct tests on battery systems and components Work with design engineers to validate new battery designs Support efforts to improve existing battery products Help ensure batteries meet performance, reliability, and safety requirements What Matters Here Experience with battery testing or related technologies Strong teamwork and communication skills Creativity and a genuine interest in technology This position is based in Cupertino, California.

Gridmatic is an innovative energy startup on a rapid growth trajectory, dedicated to providing affordable and clean energy solutions through the optimization of renewable resources and grid-scale battery systems. With locations in the Bay Area and Houston, we blend cutting-edge Silicon Valley innovation with profound expertise in actual power markets and energy retail.As solar and wind energy sources surge, the variability due to weather and grid conditions leads to fluctuating energy prices. Gridmatic addresses this challenge using advanced forecasting and optimization techniques, offering our team the chance to engage in meaningful problem-solving. Our core operations revolve around energy forecasting and trading, leveraging vast datasets—including weather, pricing, load, and grid status—to create probabilistic machine learning forecasts that inform real operational strategies. Our efforts directly influence when energy is procured, stored, or utilized, transforming uncertainty into value for our customers and the power grid.Our measurable impact is evident; Gridmatic is the most profitable entity in the ERCOT wholesale market and manages the highest-performing battery asset in CAISO. Operating without venture capital, we promote a collaborative, low-ego workplace culture that prioritizes rigorous thinking, autonomy, and continuous learning.We are in search of a strategic and proactive Head of People to spearhead our HR and recruitment initiatives. This pivotal leadership position is ideal for someone who excels in a dynamic, high-growth setting and appreciates the distinct characteristics of a software engineering firm. You will play a crucial role in assembling a world-class team and nurturing a culture where all employees, especially our engineers, can thrive and deliver their best work.

About Speechify Speechify builds text-to-speech tools that help over 50 million people turn reading materials, PDFs, books, news articles, and websites, into audio. Our products include apps for iOS, Android, Mac, a Chrome extension, and a web platform. Google and Apple have recognized Speechify for its focus on inclusivity. The team is fully distributed, with nearly 200 people working remotely. Colleagues include frontend and backend engineers, AI researchers, and professionals from companies like Amazon, Microsoft, Google, Stripe, and Vercel. Senior Software Engineer – Windows/Desktop Applications What You Will Do Design, architect, and develop native Windows desktop applications using Windows App SDK, WinUI or similar UI frameworks, C#, XAML, and sometimes C++. Set and maintain standards for Windows desktop development, emphasizing code architecture, performance, memory efficiency, responsive interfaces, compatibility across Windows 10/11+, and maintainability. Advance accessibility by integrating and validating support for APIs such as Microsoft UI Automation, ensuring UI controls, focus management, keyboard navigation, screen reader compatibility, and usability for people with disabilities. Work closely with product designers, UX researchers, QA, and other stakeholders to refine features and UI/UX architecture for the Windows platform. Oversee features from initial idea through release and ongoing maintenance, with a focus on quality and reliability. Troubleshoot and resolve complex bugs, performance bottlenecks, memory leaks, and compatibility issues, recommending sound architectural or design changes as needed. Location Cupertino, CA, USA (fully distributed team with no physical office)

Role Overview Speechify is hiring a Software Engineer to work on the iOS Core Product in Cupertino, CA. This position centers on building and maintaining high-performance iOS applications that improve how users interact with Speechify’s products. The work involves hands-on development as well as close collaboration with teams from different disciplines. What You Will Do Design, develop, and support core iOS product features Work with colleagues across engineering, design, and product to deliver reliable and user-friendly applications Apply up-to-date iOS technologies and development practices

Join our dynamic team at System Canada Technologies as a Web Developer. In this contract position, you will have the opportunity to work on innovative web applications that drive significant impact. Ideal candidates will possess a passion for coding and a keen eye for detail, ensuring that our digital platforms not only meet but exceed our users' expectations.