Senior Engineer, Autonomy ML Systems

Join our dynamic Motion Planning team where your enthusiasm for robotics and software development will drive the innovation of production-ready autonomous vehicles. In this pivotal role, you will conduct cutting-edge research, design algorithms, and develop software that crafts safe, efficient, and user-friendly routes and motions for autonomous systems.Key Responsibilities:Develop and implement advanced algorithms for autonomous driving, including search-based, sampling-based, optimization-based methods, and decision-making under uncertainty.Integrate various motion planning and prediction algorithms, assessing their effectiveness in real-time scenarios.Design and maintain a robust and scalable codebase to facilitate swift exploration and evaluation of diverse motion planning methodologies.Collaborate with upstream perception and prediction components, as well as downstream trajectory optimization and control systems.Engage in code reviews and mentor junior team members to foster a culture of excellence and continuous improvement.Promote a product-focused engineering culture through innovative research and development initiatives.

Join our dynamic Motion Planning team at Motional, where your enthusiasm for robotics and software engineering will help shape the future of autonomous vehicles. In this pivotal role, you will conduct research, develop innovative algorithms, and create software that ensures safe, comfortable, and user-friendly navigation.Key Responsibilities:Design and implement diverse algorithms for autonomous driving, covering search-based methods, sampling-based techniques, optimization strategies, linear-temporal logic, and decision-making in uncertain environments.Integrate and assess various motion planning and prediction algorithms for optimal performance.Create a robust and scalable codebase that facilitates swift testing and evaluation of different motion planning methodologies.Collaborate with perception, prediction, trajectory optimization, and control components to enhance system performance.Engage in code reviews and mentorship opportunities with experienced team members to foster professional growth.Promote a culture centered on product-driven engineering, research, and development.

Join the Motion Planning team at Zoox, where your expertise will enhance the driving behaviors of our autonomous robots on public roads. As a Senior/Staff Software Engineer, you will be responsible for developing algorithms that determine the robot's navigation paths and ensure safe operation in complex environments, such as the bustling streets of Downtown San Francisco and the vibrant Las Vegas Strip. Collaboration is key; you will work alongside experts in Planning, Perception, Prediction, and Operations to drive the next wave of innovations in autonomous driving. At Zoox, safety is paramount, so you will implement well-researched modifications to the Planner, conduct rigorous testing in simulations and closed environments, and partner with our safety drivers during on-road trials.

Motional is on the lookout for a highly skilled Principal Engineer to join our Planning team. In this pivotal role, you will be responsible for designing innovative motion planning and control systems that ensure the safe, efficient, and comfortable operation of our autonomous fleet in intricate environments. We seek an individual with a strong background in advanced algorithm development and robust software engineering, committed to shaping production-ready autonomous vehicles. If you are passionate about autonomous driving and enjoy tackling real-world challenges in a dynamic field, we welcome your application.Key Responsibilities:Lead the research and development of groundbreaking algorithms and subsystems for motion planning within autonomous driving, enhancing the Operational Design Domain. This encompasses advanced search-based and geometry-driven methods, alongside decision-making under uncertainty, with a focus on probabilistic techniques.Oversee cross-functional initiatives to create or enhance interfaces aimed at solving complex problems.Continuously monitor system performance to pinpoint areas for enhancement and formulate technical strategies to address shortcomings.Guide cross-functional project teams to deliver comprehensive solutions, showcasing the ability to think beyond the planning system's limitations.Architect and integrate sophisticated motion planning and prediction algorithms, leading their assessment and optimization for real-world applications.Design and develop a resilient, scalable, and high-performance codebase that enables rapid exploration, prototyping, and thorough evaluation of new motion planning methodologies and algorithms.Facilitate technical collaboration and ensure seamless integration with upstream perception and prediction components, as well as downstream trajectory optimization, tracking, and control systems, guaranteeing optimal end-to-end system performance.Utilize your extensive software development and research expertise to mentor others in best software practices, fostering a culture of technical excellence.Mentor junior and senior team members, promoting a culture of product-focused engineering, rigorous research, and advanced development.

Principal Engineer and Team Lead - Motion Planning Join our innovative Planning team at Motional, where your enthusiasm for robotics and software development will contribute to the advancement of production-ready autonomous vehicles. As the Principal Engineer and Team Lead, you will oversee a talented team dedicated to designing and implementing state-of-the-art motion planning software for autonomous vehicles. This pivotal role requires you to lead the definition of motion planning and control systems that ensure our fleet operates safely, efficiently, and comfortably in complex environments. Your leadership will be instrumental in developing cutting-edge motion planning algorithms, working in collaboration with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentoring a diverse group of engineers to deliver groundbreaking solutions. If you are driven by a passion for autonomous driving, enjoy tackling challenging real-world problems, and are eager to make a significant impact in a rapidly evolving industry, we would love to hear from you.

Mission Overview: We are seeking a highly skilled Senior Software Engineer to spearhead the development and execution of automated workflows, advanced tooling, and insightful analytics that will empower our autonomy stack to achieve unparalleled scalability. Your expertise will be crucial in transforming vast datasets into actionable engineering insights, ensuring that our software releases are resilient, thoroughly validated, and prepared for real-world deployment. Key Responsibilities: Design Intelligent Tooling: Lead the design and implementation of sophisticated automation systems aimed at categorizing and elucidating complex system behaviors using advanced data modeling techniques to expedite solution delivery. Drive Analytical Initiatives: Take charge of developing impactful performance visualization tools that convert raw metrics into clear, actionable insights related to on-road performance. Enhance Release Engineering: Leverage your experience to refine our release processes, steering the team towards a highly automated deployment framework that upholds quality while boosting efficiency. Advance Simulation Techniques: Play a pivotal role in enhancing our virtual testing environments, ensuring our simulation suites deliver the high-fidelity feedback necessary to accurately interpret releases. Collaborate Across Disciplines: Engage within a large, multi-disciplinary codebase to facilitate seamless integration between planning, motion, and control teams. Qualifications: Substantial experience in building production-grade applications, tools, and pipelines using Python. Proficient in navigating and contributing to large, complex codebases where modularity and thorough documentation are essential. Demonstrated success in delivering software in a production environment, with familiarity in CI/CD practices, version control at scale, and rigorous release cycles. Strong curiosity about data, with the capability to extract meaningful patterns from complex, high-dimensional datasets. A deep passion for a driverless future, with an understanding of the critical nature of deploying software that interacts with the physical environment. Bonus Qualifications (not mandatory): Experience with C++ in a Linux environment. Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration. A background in robotics middleware (ROS, DDS) or autonomous systems.

Join Motional as a Senior Software Engineer focused on enhancing the performance metrics of autonomous vehicles. In this pivotal role, you will leverage your expertise to improve vehicle performance and optimize metrics that ensure safety and efficiency in autonomous driving.

Mission Overview: As a Principal Engineer and Technical Lead at Motional, you will spearhead a dynamic team dedicated to creating and implementing advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. You will play a pivotal role in designing the motion planning and control systems that empower our fleet to navigate through intricate environments with safety, efficiency, and comfort. As a vital leader, you will not only enhance the development and performance of innovative trajectory generation algorithms but also collaborate with multidisciplinary teams including Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. Additionally, you will mentor a skilled group of engineers to deliver cutting-edge solutions. If you are enthusiastic about autonomous driving and wish to contribute to our commercial launch this year, enjoy tackling challenging real-world problems, and are eager to make a profound impact in a rapidly evolving domain, we invite you to connect with us! Your Responsibilities: Lead and expand a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization. Prepare for commercial launch readiness by enhancing on-road driving behavior (safety, comfort, assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovative methodologies. Utilize a systematic, metrics-driven approach to measure and enhance on-road performance. Advocate for the use of existing training and evaluation pipelines to ensure scalable, production-ready delivery. Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring compliance with latency budgets. Direct the swift triage and root-cause analysis of critical fleet incidents, translating real-world edge cases into immediate algorithmic enhancements and validation sets. Manage the successful execution of complex, multi-team projects, ensuring technical alignment from design to deployment while upholding a rigorous standard for testing and validation to meet the high safety benchmarks required for our commercial launch. Collaborate with peer leads to provide technical leadership, making crucial decisions regarding architectural direction, strategic investments, tactical execution, and technical debt reduction. Ensure technical excellence through thorough design and code reviews, while actively fostering the professional growth and mentorship of your engineering team. Set and pursue ambitious goals that inspire the team to deliver industry-leading trajectory solutions.

Join Motional's cutting-edge team at our global headquarters located at 100 Northern Avenue in Boston, MA. Situated in the lively Seaport district, our office boasts stunning views of Boston Harbor and is conveniently close to major transit lines, a variety of restaurants, and popular attractions.Mission Overview:At Motional, our CORE team is at the forefront of developing our vehicle's Compute and Onboard Runtime Environment. We are dedicated to creating a leading AI compute platform for autonomous vehicles, executing the software and neural networks crucial for vehicle autonomy.The Next-Gen Technologies team, a key part of CORE, operates at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to advance Motional's onboard vehicle architecture. If you are a passionate software engineer excited about embedded AI hardware and software systems, we would love to connect with you!Your Role:As a Senior Engineer on the Next-Gen Technologies team, you will play a vital role in enhancing the compute performance of our autonomous driving systems, contributing to the entire development lifecycle from ideation to proofs-of-concept to production.Your Responsibilities:Specialize in ML model deployment, integration of multiple ML models, and optimization on embedded compute platforms.Deep dive into the complete ML software stack, analyzing workload performance across various hardware processors, optimizing ML models, and enhancing ML software to continuously improve our stack with efficient approaches.Design, develop, test, integrate, and optimize software tools on diverse ML compute architectures.Collaborate with experts in perception, prediction, and other autonomous driving areas to enable algorithms on GPU, NPU, and other ML accelerator architectures.Optimize GPU/NPU resource utilization and manage sharing across multiple programs on the same system.Lead design initiatives to assess system needs and enhance our ML software stack accordingly.Provide technical guidance to peers and management.

Mission Summary The AI Data Foundry serves as the critical bridge linking our extensive data resources with the engineering teams that depend on them. We design and manage the essential services and infrastructure required to convert petabytes of raw data monthly into actionable insights for our Machine Learning and Autonomy engineers. This position is pivotal in driving our core initiatives: Data Processing: We are developing cutting-edge infrastructure to accommodate the demands of our rapidly expanding fleet and advanced ML engineering needs. Your responsibility will be to ensure that our core data pipelines are robustly engineered—performant, user-friendly, and highly fault-tolerant. Data Discovery: We are creating a platform that integrates data cataloging for search capabilities across our metadata stores, vector datastores, and various data warehouses to enhance our ML pipelines. You will collaborate with ML and autonomy stakeholders to develop this new discovery platform. Data Lineage: We are initiating the construction of our data lineage system to track data usage at Motional. You will partner with our stakeholders to ensure the widespread adoption of our system and address user pain points. What You'll Be Doing Playing a key role in designing and building the next generation of data infrastructure. Building scalable backend services for data discovery and data lineage systems. Writing high-quality, maintainable code to process petabytes of data. Leading and advocating for high-level system design and conducting quality code reviews and technical contributions. Designing, building, and maintaining scalable data processing and access using cloud ETL technologies.

Role overview Motional is hiring a Staff Front End Engineer for the Web Visualization Tooling team in Boston, Massachusetts. This role focuses on building web-based tools and visualization platforms that help machine learning engineers gather feedback and enhance the performance of autonomous vehicle systems. What you will do Establish cross-team standards and best practices for web development. Coordinate with multiple teams to keep projects on track and aligned with requirements. Architect and scale a frontend ecosystem using React, TypeScript, and Vue. Work closely with teams in machine learning, frontend, UX, data services, data mining, and data annotation to ensure tools match real-world needs. Develop UI systems for a variety of internal stakeholders. Design user experiences tailored for complex, data-heavy workflows. Promote performance, scalability, and maintainability in frontend systems. Deliver products quickly and iterate in a product-focused setting. Requirements Experience designing and building user-facing visual applications with a strong emphasis on user experience. Deep expertise in React, TypeScript, and modern frontend architectures. Proficiency in Vue.js. Understanding of product design, usability, and user experience principles. High sense of ownership and ability to work autonomously. Strong organizational skills and a willingness to learn. Ability to mentor and delegate to engineers at different levels. Consistent approach to technical design and documentation. Comfort working directly with customers to identify needs and deliver solutions. Bonus skills Project management experience, especially with agile methodologies and operational excellence. Commitment to continuous delivery of value. Experience with backend systems such as Node.js or Python. Background in game development or 3D visualization. Work environment Motional offers a hybrid work schedule, supporting a mix of in-office and remote work.

Mission Overview: Join us as a distinguished Staff/Principal Engineer specializing in Perception Capabilities, where you will spearhead the development of innovative software solutions leveraging advanced computer vision and deep learning technologies. Your extensive experience will encompass key areas such as detection, classification, segmentation, and tracking, alongside critical support functions, including data engines, labeling policies, training pipelines, model optimization, simulation, and testing. You are motivated by the tangible impact of your work, taking initiative and ownership of outcomes. In this role, you'll have the opportunity to apply your expertise to the perception stack of autonomous vehicles, navigating the unique challenges inherent in safety-critical, open-world applications while ensuring engineering excellence and thorough evaluation. As a creative problem solver, you'll collaborate with interdisciplinary teams focused on capability enhancement to design, implement, and validate comprehensive solutions.

Senior/Staff Software Engineer, Applications AcuityMD is an innovative software and data platform that accelerates the accessibility of medical technologies. We empower MedTech companies to gain insights into product usage, understand customer variations, and pinpoint opportunities that enable physicians to enhance patient care. Annually, the FDA approves approximately 6,000 new medical devices, and our solution streamlines the process of getting these products into the hands of physicians, ultimately improving patient outcomes. Supported by prominent investors like Benchmark, Redpoint, ICONIQ Growth, and Ajax Health, we are a rapidly expanding SaaS company. We are seeking a talented Senior/Staff Engineer to join our dynamic Customer Intelligence Team. This role offers the chance to engage in all facets of current and future product development. Collaborate with other passionate engineers on challenging projects that introduce cutting-edge technologies to patients. Team Mission Within the Application Team, our goal extends beyond engineering software; we are transforming how medical technologies are delivered to those in need. The Customer Intelligence Team empowers MedTech companies to expedite the adoption of state-of-the-art medical technology by optimizing their sales processes through seamless and context-rich workflows. Assist our clients in strategizing their sales efforts to both existing and prospective users by integrating market data and AI-driven recommendations into their daily operations. We collaborate with top-tier MedTech companies and are on a journey of rapid feature development to guarantee their success. Your contributions will be pivotal in delivering impactful, high-quality, and scalable solutions that truly matter. You will collaborate with Product Managers, Designers, and fellow Engineers to build comprehensive features across both web and mobile platforms. We prioritize delivering excellent work while fostering a fun, collaborative, and supportive team environment, as we believe strong relationships enhance our collective performance! Advance your career while working on meaningful projects across various tech stacks, including JavaScript, React, TypeScript, GraphQL, Node.js, Python, and SQL.

The Machine Learning (ML) Data Services team is on the lookout for a passionate and seasoned Staff Technical Lead Manager (TLM) to spearhead the evolution and operation of our essential machine learning data infrastructure. This pivotal position requires a unique fusion of in-depth technical knowledge in machine learning systems, extensive data processing, and a proven track record in leadership to effectively manage both individual contributors and set technical direction. The ML Data Services team plays a vital role in ensuring the provision of reliable, high-quality, and easily accessible data for all machine learning applications. As custodians of the 'Data Engineering' phase of the ML lifecycle, we handle the most crucial input for any ML system: the data itself. Our infrastructure supports hundreds of data pipelines and processes petabytes of data, directly facilitating the success of our flagship products. Key Responsibilities: Technical Leadership and Strategic Direction Develop and execute the technical roadmap and long-term strategy for the ML Data Services platform, ensuring alignment with the growing needs of ML engineers across the organization. Act as the leading technical authority for the team, designing complex, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving. Guide the technical vision for sourcing diverse training data, encompassing real-world drive logs, resimulation outputs, auto-labeling pipelines, and human labeling efforts. Oversee the implementation of robust mechanisms for monitoring data quality, tracking data lineage, and ensuring comprehensive data governance and compliance. Provide hands-on technical mentorship, design reviews, and guidance to engineers, promoting best practices, high code quality, and operational excellence. Management and Team Development Lead a team of software engineers, conducting performance reviews, facilitating career development, and providing coaching and mentoring. Balance a hybrid role as a technical leader-manager, dedicating 50% of efforts to management and 50% to technical leadership, architecture, and hands-on coding/design. Drive recruitment efforts to attract, onboard, and retain exceptional engineering talent, fostering a diverse and inclusive team culture. Promote engineering excellence, operational rigor, and a strong sense of ownership within the team. Collaboration and Execution Work closely with ML model and Infrastructure teams to understand data requirements and deliver solutions that expedite ML development cycles. Lead the execution of major projects, ensuring timely delivery and alignment with business objectives. Effectively communicate complex technical concepts to a variety of stakeholders.

Mission: We are in search of a talented and driven Senior Data Engineering Analyst to join our innovative team focused on large-scale AI model evaluation through our platform, Ground Truth Regression. The ideal candidate will possess a solid foundation in data engineering, machine learning principles, and statistical analysis. At Motional, the orchestration of extensive data analysis is crucial for advancing our machine learning-driven autonomous driving technology. Our robo-taxi ML models and software are developed by a dedicated team of engineers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework to validate any changes that could influence the behavior of autonomous vehicles. The Ground Truth Regression team assesses the cumulative effects of ML and software modifications during the development phase, equipping the team with tools for root cause analysis and safety evaluations. We meticulously monitor model errors, anomalies, and rare occurrences across extensive driving scenarios, gathering insights over thousands of driving hours. The team is responsible for developing the full-stack infrastructure, including AWS Kubernetes orchestration, re-simulation, model metrics, regression reports, and deep-dive analytical tools. Collaboration with other perception and ML teams is integral for establishing metrics and analyzing outcomes. What You’ll Do: Collaborate with ML Engineers and Autonomy Software Developers to create new data analysis metrics and KPIs for validating autonomous vehicle performance. Pursue innovation by researching and developing new large-scale data analysis frameworks. Lead large-scale data analysis workflows to identify unexpected impacts of both planned and unplanned modifications to ML models and software. Construct high-quality datasets to enhance ML product performance through training and edge case validation. Deliver in-depth statistical insights on model performance and generalization through thorough error and change analysis. What We’re Looking For: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field. Proficient programming skills in Python, SciPy, and related data analysis frameworks. Experience in machine learning, data mining, and statistical analysis. Familiarity with large-scale data processing and distributed computing technologies. Strong communication and software development skills, including goal setting, design documentation, testing frameworks, and collaborative team development.

The Machine Learning Data Services team is on the lookout for an accomplished and driven Staff Technical Lead Manager (TLM) to spearhead the design and operation of our foundational machine learning data infrastructure. This pivotal role necessitates a unique combination of extensive technical know-how in machine learning systems, large-scale data processing, and a proven track record in leadership to guide both team members and technical initiatives. Our ML Data Services team plays a vital role in ensuring the provision of dependable, high-quality, and easily accessible data for all machine learning applications. As custodians of the 'Data Engineering' phase within the machine learning lifecycle, we oversee the most crucial input to any ML system: the data itself. Our robust infrastructure supports numerous data pipelines and vast datasets, directly contributing to the success of our flagship products. Key Responsibilities Technical Leadership and Strategy Define and drive the technical roadmap and long-term strategy for the ML Data Services platform, ensuring alignment with the evolving needs of machine learning engineers across the organization. Act as the principal technical authority for the team, architecting sophisticated, highly scalable, and fault-tolerant systems for data ingestion, transformation, and serving. Lead the technical vision for acquiring a diverse range of training data sources, incorporating ingestion from real-world drive logs, resimulation outputs, auto-labeling pipelines, and human labeling efforts. Initiate and oversee the implementation of rigorous mechanisms for monitoring data quality, tracking data lineage, and ensuring comprehensive data governance and compliance. Deliver hands-on technical guidance, conduct design reviews, and mentor engineers, ensuring adherence to best practices, high code quality, and operational excellence. Team Management and Growth Supervise a team of software engineers, encompassing performance evaluations, career development, coaching, and mentoring. Serve as a hybrid technical leader-manager, balancing 50% management responsibilities with 50% technical leadership, architecture, and hands-on coding/design. Lead recruitment efforts to attract, onboard, and retain top engineering talent while fostering a diverse and inclusive team culture. Promote engineering excellence, operational rigor, and a strong sense of ownership within the team. Collaboration and Execution Engage closely with ML model teams and Infrastructure teams to grasp data needs and deliver solutions that expedite machine learning development cycles. Steer the execution of significant projects, ensuring timely delivery and alignment with business objectives. Articulate complex technical concepts clearly to various stakeholders.

At Compass, we are driven by our mission to help everyone find their perfect place in the world. Established in 2012, we are transforming the real estate landscape with our innovative end-to-end platform, empowering residential real estate agents to provide exceptional service to both sellers and buyers.As a Staff Software Engineer within the Transaction Journey organization, you will leverage your expertise in microservices architecture to develop impactful products for our customers. You will take the lead in designing and developing services that enhance the consumer experience while supporting the expansion of the world’s most scalable brokerage. You will guide a team in creating a collaborative transaction management platform that simplifies the home buying and selling process, enabling agents to efficiently manage transactions from initial contact to closing, including accessing local forms, sending documents for electronic signatures, and managing offers for buyers and sellers.We are looking for an engineer who is passionate about crafting well-defined APIs that are user-friendly. Your insights in product and business decisions are invaluable, and you have a strong desire to learn and share knowledge with your colleagues. Your communication skills are exceptional, and you prioritize understanding others before conveying your ideas.Your design systems are fault-tolerant, scalable, highly available, well-tested, and adhere to best practices such as the single responsibility principle.Your code is modular and reusable, and you take pride in delivering robust, well-tested, peer-reviewed code that follows industry best practices. You hold strong opinions regarding code structure, style, and development processes.At Compass, You Will:Provide strategic direction and ownership of Compass software architecture.Build, develop, and scale the platform that empowers real estate professionals, buyers, and sellers.Become a domain expert in real estate technology, serving as an empathetic partner to our customers.Inspire, recruit, and mentor fellow engineers.Lead the architecture of our distributed microservices environment.Engage in a scalable engineering culture that utilizes modern principles of decoupled systems and automated CI/CD/testing/monitoring to enhance efficiencies.Execute standard agile development methodologies.Join a dynamic team with high visibility and exciting projects on the horizon.

About Datadog: At Datadog, we are dedicated to creating the ultimate platform for engineers to monitor and optimize their systems, applications, and teams. Our operations scale to trillions of data points daily, ensuring continuous alerting, metric visualization, log management, and application tracing for thousands of clients. Our engineering ethos prioritizes practicality, transparency, and simplicity to tackle complex challenges effectively. The Opportunity: As a Staff Engineer at Datadog, you will be a pivotal technical leader, driving innovations that will support our growth for the next five years and beyond. Your contributions will span across three key areas: 1. As an individual contributor, you will apply your exceptional technical expertise to create industry-leading systems in domains like data visualization, virtual runtime profiling, and large-scale streaming. 2. In your role as a technical leader, you will leverage your extensive technical knowledge and communication skills to address design and architectural challenges across the organization, steering the strategic direction and leading implementation efforts. 3. You will actively engage in the staff engineering community, sharing insights from industry best practices and past projects to enhance company-wide standards in software and systems engineering. Examples of projects you might spearhead include designing a new data storage engine capable of processing hundreds of millions of records per second, leading the development of a new product like Synthetics or Profiling, or restructuring a critical service to manage significantly increased scalability.

About SunoAt Suno, we are revolutionizing the music industry by harnessing the power of cutting-edge AI technology. Our innovative platform, featuring the advanced Suno Studio, enables users from all walks of life—from shower singers to professional musicians—to unleash their creativity and share their musical journeys. Join us in our mission to inspire and connect a vibrant community of music creators and enthusiasts across the globe.About the RoleWe are seeking passionate and skilled generalist software engineers to join our dynamic team. You will collaborate directly with our founding members, playing a pivotal role in shaping the technical and design aspects of our products. This is an incredible opportunity to have a significant impact on the future of music creation.What You’ll DoDevelop and enhance Suno’s applications for music creation, exploration, and listening.Design and implement robust services capable of handling high volumes of user traffic and data.Construct systems that prioritize performance, scalability, and ease of monitoring.What You’ll NeedA minimum of 7 years of experience in backend or full-stack development is preferred.A can-do attitude with the ability to tackle challenges across various technical domains.Proficiency in distributed systems, data storage solutions, and handling production-scale workloads (Postgres, Redis, Kafka, etc.).Experience with web technologies such as React, Typescript, and NextJS is advantageous.A strong passion for creating exceptional user experiences, coupled with a commitment to rapid iteration and improvement.Previous technical leadership or management experience is a plus.An enthusiasm for music, whether listening, discovering, or creating, is highly desirable.A Bachelor’s degree or equivalent experience is required.Additional Notes: Applicants must be eligible to work in the United States.Perks & Benefits for Full-Time EmployeesEquity package in the company.401(k) plan with a 3% employer match and Roth options.Comprehensive medical, dental, and vision insurance (PPO with HSA & FSA options).Flexible work hours and remote work opportunities.