Backend Software Engineer - Infrastructure

At Databricks, we are dedicated to empowering data and AI teams to tackle some of the world's most significant challenges — from transforming transportation to expediting medical innovations. Our mission is to create and maintain the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights to enhance their businesses. Founded by engineers with a customer-first mentality, we eagerly embrace every opportunity to address technical challenges, whether it’s designing next-gen UI/UX for data interaction or scaling our services across millions of virtual machines. And we are just getting started. As a member of the ML/AI Environments team, you will develop the systems that allow AI researchers and engineers to effortlessly establish their desired training and serving environments. You’ll join a high-agency, high-visibility team at the cutting edge of AI infrastructure, closely connected to research, product development, and real-world enterprise applications. Databricks Mosaic AI is one of our fastest-growing sectors, assisting thousands of customers in democratizing AI within their organizations. We are building the infrastructure that fuels the next generation of AI.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives lost in traffic accidents. Our technology powers a fully autonomous ride-hail service and can be adapted to various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving more than 100 million miles on public roads and tens of billions of simulation miles across 15+ U.S. states, we are at the forefront of this transformative journey.The Simulation ML Infrastructure team is focused on creating scalable AI/ML infrastructure that accelerates the Simulator team in developing state-of-the-art realistic simulations for testing and training the Waymo Driver. To enhance the realism and steerability of these simulations, we leverage large foundation models trained on vast datasets to accurately represent the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), road systems, traffic control measures, and environmental conditions.We are looking for a seasoned senior individual contributor to spearhead the advancement of sophisticated AI/ML infrastructure for multi-billion parameter foundation models within ML accelerator-friendly simulations. Your expertise in massive model scaling, ML accelerators, and large-scale distributed systems will be essential in designing and scaling our systems.This position reports to an Engineering Manager.Your Responsibilities:Join a top-tier, high-performing research engineering team to push the boundaries of ultra-realistic multi-agent simulations using foundation models.Collaborate closely with the Waymo Realism Modeling team located in London and the Waymo Oxford team to utilize large foundation models for enhancing simulation realism.Operate at the intersection of data engineering, model development, and simulations, making architectural decisions. Take ownership of large, complex systems, and ensure that architectures and designs align with both technical and business objectives.Design and scale extensive distributed systems that encompass the entire ML lifecycle, facilitating planet-scale dataset generation, model training, and evaluation.Work cross-functionally to derive performance and system-level requirements for large ML systems. Convert product and business goals into measurable technical deliverables, ensuring alignment of system components.

The OpportunityAre you a seasoned Senior Software Engineer with a proven track record in product development? If you’re eager to make a substantial impact at the nexus of scalable web services and groundbreaking AI technologies, we want you! In this pivotal role, you will spearhead the design, deployment, and maintenance of web services and infrastructure that drive our AI-powered products. Collaborating with a diverse team of AI researchers, product managers, and fellow engineers, you’ll create innovative solutions that enhance the experiences of professionals and enterprise clients across various sectors.Your ImpactUtilize your extensive Python expertise to develop and optimize backend systems that integrate seamlessly with machine learning and AI functionalities.Design and implement robust business logic using frameworks like Django, ensuring smooth compatibility with AI components and integration with MySQL databases.Architect scalable solutions that leverage cutting-edge technology, contributing to the advancement of AI-driven initiatives.

P-78 At Databricks, we are driven by a commitment to empower data teams in tackling some of the most significant challenges facing the world today—from revolutionizing transportation to speeding up the discovery of medical innovations. By constructing and managing the premier data and AI infrastructure platform, we enable our clients to harness profound data insights to enhance their operations. Founded by engineers and intensely focused on customer satisfaction, we eagerly embrace every chance to address technical challenges, whether it’s crafting next-generation UI/UX for data interaction or scaling our services and infrastructure across millions of virtual machines. And we are just getting started. As a Senior Software Engineer with a focus on backend development, you will collaborate with your team to create scalable infrastructure and products for the Databricks platform.

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.

The OpportunityAre you a seasoned Senior Software Engineer specializing in Backend Infrastructure eager to drive significant advancements at the confluence of scalable web services and innovative AI technologies? Otter.ai is on the lookout for a skilled engineer to spearhead the creation, deployment, and management of web services and infrastructure that empower our AI-driven products and initiatives. In our vibrant engineering team, you will work hand in hand with AI researchers, product managers, and technology experts to deliver transformative solutions that enhance the experiences of professional end-users and enterprise clients across various sectors.Your ImpactUtilize your extensive expertise in Python to develop and refine 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 using technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to facilitate sophisticated AI models and workflows.Write reusable, efficient, and maintainable code that forms the backbone of our high-performance web services and supports real-time AI analytics.Collaborate closely with AI teams to enhance data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features.Effectively communicate with stakeholders across various teams, articulating technical strategies related to AI-enabled infrastructure.

Join our team as a Senior Backend Engineer in Customer Engineering!At Level AI, we are reshaping customer interactions through innovative technology. Founded in 2019 and backed by Series C funding, our headquarters in Mountain View, California, is at the forefront of transforming contact centers into strategic assets through our AI-native platform. Our technology utilizes cutting-edge Large Language Models to extract invaluable insights from customer engagements, enabling businesses to enhance their customer experience and foster growth.As a Senior Backend Engineer, you will play a crucial role in empowering contact center stakeholders with real-time insights that drive data-informed decisions. You will collaborate on high-impact projects alongside experts from top tech companies such as Amazon, Facebook, and Google. Expect a rewarding journey filled with learning, growth, and the opportunity to redefine possibilities in AI-driven enterprise applications. Ready to join us?

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.

About CyngnLocated in the heart of Mountain View, CA, Cyngn Inc. is a publicly-traded leader in autonomous technology. We specialize in deploying self-driving industrial vehicles such as forklifts and tuggers across factories, warehouses, and various facilities throughout North America. We are seeking innovative, driven, and experienced leaders to join our team and spearhead advancements in this transformative field. If you're passionate about building, tinkering, and collaborating with a team of dedicated colleagues, Cyngn is your ideal workplace.Dynamic Work Environment.With a tight-knit team of under 100 employees, Cyngn operates with the agility of a startup while being backed by the stability of a publicly-traded company. This unique combination allows our employees to work closely with mentors and gain access to the liquidity of our stock, fostering both professional and financial growth.Real Impact, Real Solutions.At Cyngn, our autonomous vehicles are not merely concepts—they are actively deployed with real clients. Your contributions will create a direct and visible impact on our clients' operations.A Culture of Collaboration.We pride ourselves on being a diverse and welcoming team of sharp thinkers and kind individuals. Collaboration and trust are the cornerstones of our creative environment, where every perspective is valued and drives our innovative solutions.Role Overview:As the Senior Backend Software Engineer for our Software as a Service (SaaS) platform team, you will play a pivotal role in developing Cyngn's state-of-the-art fleet management system for autonomous industrial vehicles. You will collaborate closely with product and engineering teams to design, implement, deploy, and maintain a scalable, high-performance cloud-based solution that enables real-time control and monitoring of autonomous vehicles in operational settings. Your expertise will be vital in helping our customers enhance their automated workflows and maximize operational efficiency.

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.

At Commure, we are dedicated to transforming the healthcare landscape by simplifying the way care is delivered. Our vision is to elevate the healthcare experience, establishing a new benchmark for efficiency and effectiveness across the industry. Our innovative suite of AI-driven solutions encompasses ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management, and beyond. These tools empower both providers and administrators to concentrate on what truly matters: delivering exceptional care.In a healthcare industry valued at $4.5 trillion, with over $500 billion allocated annually to administrative expenditures, Commure is at the forefront of this transformation. Our technology supports more than 500,000 clinicians across diverse care sites nationwide, facilitating over $10 billion in transactions and enabling over 100 million patient interactions. With exciting product launches on the horizon and plans for expansion into new care segments, we aim to transition from an innovative disruptor to the industry standard within the next few years.Commure has recently been recognized in Fortune’s Future 50 list for 2025 and is backed by renowned 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, we are just getting started. The moment for AI-powered transformation in healthcare is now, and we are building the technology to drive it forward. Join us in shaping the future of healthcare.About the RoleAs a part of our engineering team at Commure, you will play a pivotal role in revolutionizing healthcare technology by designing and scaling the systems that power our healthcare products. We are seeking a passionate Senior Backend Engineer who thrives on creating user-friendly, responsive, and secure systems that operate reliably at scale. If you enjoy tackling significant challenges in healthcare and have a penchant for rapid delivery, we want you on our team!What You’ll DoArchitect and influence decisions regarding our backend infrastructure for scalable, AI-driven healthcare solutions.Collaborate within a dynamic team that celebrates ambition and swift decision-making.Engage with the entire technology stack, including but not limited to Python, cloud services, and database management.

The OpportunityAre you a seasoned Staff Software Engineer, Backend (Infrastructure) eager to drive transformative change at the convergence of scalable web services and state-of-the-art AI technologies? Join us at Otter.ai, where we are on the lookout for a skilled engineer to spearhead the development, deployment, and oversight of web services and infrastructure that fuel our AI-driven products and initiatives. In our vibrant engineering team, you will collaborate closely with AI researchers, product managers, and technology experts to deliver innovative solutions that significantly enhance the experiences of end-user professionals and enterprise clients across various sectors.Your ImpactUtilize your vast expertise in Python to design and refine backend systems that seamlessly integrate with machine learning and AI functionalities.Craft and execute robust business logic using web frameworks such as Django, ensuring full compatibility with AI components and integration with MySQL.Architect scalable solutions employing technologies like Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to support advanced AI models and workflows.Produce reusable, efficient, and maintainable code that underpins our high-performance applications, delivering exceptional user experiences.

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

The OpportunityJoin our dynamic team at Otter.ai as a Backend Software Engineer focused on product development. In this pivotal role, you will contribute to the creation and support of innovative AI-powered features. You will be instrumental in developing, deploying, and managing our web services and infrastructure that underlie our advanced AI capabilities. Collaborating with a talented engineering team, you will optimize systems aimed at enhancing user productivity through state-of-the-art functionalities powered by AI.Your ImpactLeverage your expertise in Python to develop technology that integrates seamlessly with our AI-driven products.Construct robust business logic using frameworks like Django and manage database integrations with MySQL to ensure a scalable AI infrastructure.Work closely with technologies such as Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms to efficiently process and manage AI workloads.Produce reusable, testable, and efficient code that supports and scales our innovative AI solutions.

At Commure, we are driven by a mission to transform the healthcare landscape through innovative technology. Our vision is to redefine the healthcare experience, establishing a new benchmark for care delivery and interaction across the industry. Our advanced suite of AI solutions encompasses ambient AI clinical documentation, provider copilots, autonomous coding, and revenue cycle management, all tailored to empower healthcare providers and administrators to prioritize what truly matters: patient care.The healthcare sector represents a colossal $4.5 trillion industry, with over $500 billion spent each year on administrative expenses. Commure stands at the forefront of this transformation, supporting over 500,000 clinicians across numerous care sites nationwide. With more than $10 billion flowing through our systems, we facilitate over 100 million patient interactions. As we prepare for upcoming product launches and expand into new care segments, we aspire to evolve from a burgeoning innovator to the industry standard.Recently honored on Fortune’s Future 50 list for 2025, Commure is backed by renowned investors such as General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, and Greenoaks Capital. With a staggering 300% year-over-year growth for the past two years, we are on the cusp of a major leap forward in AI-driven healthcare transformation. Join us in shaping the future of healthcare technology.About the RoleAs a Senior Fullstack Engineer within our Scribe team, you will play a pivotal role in advancing Ambient AI solutions that enhance the entire healthcare journey. If you are passionate about tackling significant challenges in healthcare and delivering impactful solutions swiftly, we want to hear from you!Your ResponsibilitiesDevelop comprehensive products that innovate Ambient AI for healthcare providers and administratorsCollaborate within a dynamic team that values rapid execution and decisive actionEngage with the full software stackUtilize a technology stack including Python, JavaScript, React, Flutter, Flask, and moreInteract directly with customers to address and resolve their challenges on a daily basis

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 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.

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.