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Experience Level
Senior
Qualifications
We are looking for candidates with:A strong background in software engineering, with a focus on building scalable systems. Proficiency in programming languages such as Python, Java, or C++. Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and container orchestration systems (e.g., Kubernetes). Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). Excellent problem-solving skills and a passion for innovation. A degree in Computer Science or a related field is preferred.
About the job
Join Nuro as a Senior Software Engineer specializing in Machine Learning Platform Infrastructure. You will be at the forefront of developing and enhancing our innovative ML platform that powers autonomous delivery vehicles. Your expertise will directly contribute to improving our algorithms and infrastructure, ensuring efficient and scalable performance.
In this role, you will collaborate with cross-functional teams to design, implement, and optimize the underlying infrastructure for machine learning applications. You will also mentor junior engineers and drive best practices in software development.
About Nuro
Nuro is redefining local commerce through autonomous delivery. Our mission is to accelerate the benefits of robotics for everyday life. By creating an efficient platform for last-mile delivery, we aim to enhance convenience and accessibility for our communities.
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Full-time|$204K/yr - $259K/yr|On-site|Mountain View, CA, USA; San Francisco, CA, USA
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Full-time|$185K/yr - $230K/yr|On-site|Mountain View, CA
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Full-time|$166K/yr - $225K/yr|On-site|Mountain View, California
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At Commure, we are on a transformative mission to simplify healthcare. We aim to redefine the healthcare experience and set a new benchmark for care delivery across the industry. Our innovative suite of AI solutions includes ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management, and much more—all crafted to enable providers and administrators to concentrate on what truly matters: delivering exceptional care.In a $4.5 trillion industry with over $500 billion spent annually on administrative costs, Commure stands at the forefront of this transformation. We empower more than 500,000 clinicians across numerous care facilities nationwide, facilitating over $10 billion in transactions and supporting upwards of 100 million patient interactions. With several new products on the horizon, expansion into diverse care segments, and an ambitious vision to address healthcare's most pressing challenges, we aspire to evolve from an innovative startup to the industry standard in the coming years.Recently recognized on Fortune’s Future 50 list for 2025, Commure is backed by esteemed investors such as General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and others. With over 300% year-over-year growth for the past two years, this is just the beginning. The moment for AI-driven transformation in healthcare is now, and we are developing the technology to lead this change. Join us in our endeavor to shape the future of healthcare.About the RoleAs a pivotal member of our Ambient Scribe team, you will play a crucial role in revolutionizing healthcare technology through the creation of Ambient AI solutions that enhance the entire care journey. We are seeking a skilled Senior Backend Engineer who is eager to elevate Ambient AI to new heights. If you are passionate about solving significant challenges in healthcare and thrive in a fast-paced environment, we invite you to join our dynamic team!This full-time position requires working 5 days a week in our Mountain View, CA office.
Full-time|$185K/yr - $230K/yr|On-site|Mountain View, CA
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Full-time|$193.9K/yr - $352.3K/yr|On-site|Mountain View, California (HQ)
About Us Nuro is a pioneering self-driving technology company dedicated to making autonomous solutions accessible to everyone. Established in 2016, we are developing the most scalable autonomous driver by integrating advanced AI with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of self-driving deployments, Nuro provides automakers and mobility platforms with a clear pathway to achieving commercial-scale autonomous vehicles, promoting a safer, more connected future. Role Overview At Nuro, we adopt a machine-learning-first strategy in our approach to autonomous driving technology. The performance of our systems is significantly influenced by the quality and diversity of training and evaluation data. Your team will be pivotal in enhancing our autonomous driving systems by establishing a robust and scalable data infrastructure. This infrastructure will generate training and evaluation data from both real-world driving logs and simulated environments. Collaborating closely with system engineers, you will ensure thorough validation of the autonomous driving system prior to deployment. Key Responsibilities Design and implement cohesive, introspectable data pipelines capable of processing large-scale batch and streaming data across diverse evaluation use cases. Develop a storage solution that efficiently manages extensive volumes and a wide variety of performance metrics. Create user-friendly dashboards and reports to display evaluation results, enabling easy comparisons to highlight improvements and regressions in ML components and the overall system. Establish and maintain continuous testing and monitoring systems to ensure the integrity and robustness of our data and data pipelines. Build data mining tools utilizing applied ML techniques to meet data discovery requirements in areas such as Perception, Behavior, and Mapping. Develop data annotation tools to aid both first-party and third-party labeling efforts, ensuring high-fidelity perception, mapping, and trajectory labels. Scale data annotation labels with cutting-edge ML techniques. Qualifications A degree in Computer Science, Engineering, or a related field (BS, MS, or PhD) combined with at least 4 years of relevant professional experience. Strong programming skills in Python or similar languages. Experience in data engineering, machine learning, or related fields. Familiarity with data pipeline tools and frameworks. Ability to work collaboratively in a fast-paced, innovative environment.
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Join Waymo as a Principal Software Engineer, ML System Architect, where you'll leverage your expertise in machine learning to architect innovative software solutions. As a core member of our engineering team, you will be instrumental in shaping the future of autonomous driving technology.
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Full-time|$210K/yr - $275K/yr|On-site|Mountain View, CA
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Full-time|$147.2K/yr - $208.3K/yr|On-site|Mountain View, California
Intrinsic Robotics, a Google company, works to advance industrial automation by combining AI, perception, and simulation. The team includes engineers, roboticists, designers, and technologists who share a goal: make intelligent robotics more accessible for businesses and developers. Software and data are central to the mission, with a focus on practical results that drive both creativity and economic progress in robotics. Role overview This Backend Software Engineer position centers on connecting web-based software with physical robotics hardware used in manufacturing. The engineer ensures that operator actions on digital interfaces translate into safe, immediate responses from robotic systems. Responsibilities include managing the full lifecycle of commands, authorizing, recording, and executing them reliably, even if the network goes down. The work also covers data synchronization, control of signal lights, and building a system that operators can trust to manage physical automation safely and intuitively. What you will do Implement secure authentication and identity management so only authorized users can control hardware. Develop control logic that links web interfaces to physical devices like status indicators, emergency stops, and operator consoles. Design systems to securely store robot telemetry during network outages and synchronize with the cloud when connectivity returns. Build backend infrastructure for multi-tenant environments, keeping each client’s data isolated and secure. Establish communication channels between web browsers and hardware controllers to deliver low-latency feedback for operators. Create detailed audit logs that tie every hardware action to a specific authenticated user, supporting safety and traceability. Requirements Experience designing and implementing granular user permissions and access controls in multi-user software systems. Proficiency integrating software with physical hardware using digital inputs and outputs, such as controlling lights, switches, or sensors. Strong background in full-stack development, with an emphasis on backend technologies. Location Mountain View, California
Full-time|$136K/yr - $185K/yr|On-site|Mountain View, CA
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Join Nuro as a Senior Software Engineer specializing in Machine Learning Platform Infrastructure. You will be at the forefront of developing and enhancing our innovative ML platform that powers autonomous delivery vehicles. Your expertise will directly contribute to improving our algorithms and infrastructure, ensuring efficient and scalable performance.In this role, you will collaborate with cross-functional teams to design, implement, and optimize the underlying infrastructure for machine learning applications. You will also mentor junior engineers and drive best practices in software development.
Full-time|$189K/yr - $303K/yr|On-site|Mountain View, California
About UsAurora Innovation is dedicated to advancing the future of transportation through the safe and swift implementation of self-driving technology. Our flagship product, The Aurora Driver, aims to revolutionize mobility and logistics, ensuring a safer, more efficient, and accessible future for all.At Aurora, you'll solve intricate challenges alongside a team of passionate and talented individuals, enhancing your expertise while broadening your knowledge. Stay updated with our latest news at aurora.tech or follow us on LinkedIn.We are on the lookout for a remarkable Staff Backend Software Engineer to join our Aurora Services Engineering team. In this pivotal role, you will contribute significantly to the development of our suite of fleet management tools.The Aurora Services Engineering team specializes in creating full-stack solutions, including backend services, web applications, mobile applications, and real-time onboard code, facilitating the commercial operation of autonomous vehicle fleets at scale. Our goal is to develop the software that drives the commercial aspects of our platform, including task assignment for autonomous vehicles, remote support, fleet management, and customer order processing. As we gear up for substantial fleet expansion and API integration with partners, the tools we create are essential for the efficient daily operation of our business.As a Staff Backend Software Engineer, you will work on solutions for autonomous vehicle terminal operations, focusing on launching and landing vehicles at locations owned by Aurora and its major customers. You will be responsible for enhancing existing products and developing entirely new features, making a considerable impact on the efficiency of terminal operations at Aurora.
Full-time|$210K/yr - $275K/yr|On-site|Mountain View, CA
The OpportunityAre you a seasoned Staff Software Engineer with a strong background in product development, eager to make a profound impact at the convergence of scalable web services and groundbreaking AI technologies? We are on the lookout for a skilled engineer to spearhead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As a vital part of our dynamic engineering team, you will collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that revolutionize the experiences of end-user professionals and enterprise clients across a wide array of industries.Your ImpactUtilize your extensive experience in Python to develop and enhance backend systems that integrate seamlessly with machine learning and AI-driven functionalities.Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies such as Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support sophisticated AI models and workflows.Craft reusable, efficient, and maintainable code that underpins our high-performance web services and bolsters real-time AI analytics.Work closely with AI teams to optimize data pipelines, enhance model deployment, and ensure backend systems effectively support AI-based product features.Communicate proficiently with stakeholders across multiple teams, articulating technical strategies related to AI-enabled infrastructure.
What You Will Do:Are you ready for an exhilarating challenge? Imagine yourself enhancing and scaling a state-of-the-art Generative AI product that provides immediate support to enterprise users. If you're curious about how to implement abstraction, scalability, and optimization in a dynamic, probabilistic, and generative conversational system, we encourage you to join our Conversation Engine team. At Moveworks, you will be at the forefront of our Generative AI product, focusing on scaling and optimizing it to cater to the increasing demands of the enterprise solution market. Explore our latest insights on Moveworks's innovative solutions for enterprise AI, including Moveworks Live and Creator Studio. As leaders in the enterprise AI space, we invite you to contribute your creative ideas and vision to tackle unprecedented challenges. You will work closely with machine learning specialists and cross-functional teams, swiftly iterating on new concepts and utilizing user behavior data to inform your decisions. Your primary responsibility will be to scale and refine our conversation engine to handle hundreds of millions of users across various chat channels and applications, while enhancing our end-to-end product infrastructure with exceptional engineering quality and durability.Build a robust product infrastructure with intuitive interfaces that enable engineers and configurators to easily customize and enhance generative AI models. This includes gathering data and feedback, adapting to a range of enterprise applications and business contexts, and delivering tailored conversational experiences.Develop scalable API abstractions for our conversation platform, compatible with major chat clients such as Microsoft Teams, Slack, and Web, while offering a versatile API for integrating other components of the engineering ecosystem.Enhance the dialogue engine to support a variety of conversational features, leveraging proprietary domain knowledge unique to each enterprise client in the cloud, and facilitating real-time multilingual translation. You will accomplish this with a minimal memory footprint, reduced latency, and an efficient development process for application engineers.Promote best coding practices, API design, scalability, robustness, and optimization. Cultivate a culture of excellence and continuous improvement among fellow engineers.Deliver comprehensive insights and visibility into the performance of our conversational AI product.
Jan 21, 2026
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