Engineering Manager - Autonomy

Skydio is a pioneering force in the drone industry, recognized as the leading autonomous flight company in the United States and globally. Our team merges advanced expertise in artificial intelligence with cutting-edge hardware and software development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors and first responders to soldiers in complex battlefield situations.About the Role: We are in search of a skilled Software Engineer to spearhead the development of innovative tools that enhance the autonomy lifecycle. In this role, you will be responsible for creating and refining essential internal platforms that enable engineers to test new concepts, analyze system behaviors, and comprehend intricate interactions between software and the physical environment.Your work will encompass both backend systems and front-end visualization, necessitating a strong foundation in software design, developer experience, and a genuine passion for empowering others through effective tooling. The systems you develop will be utilized daily by autonomy developers, test engineers, and various stakeholders throughout the organization.Areas of Responsibility:Design and construct robust replay and analysis systems that allow engineers to inspect and replicate recorded autonomy behaviors with detailed control over system states, perception outputs, and decision-making processes across the entire stack.Develop scalable infrastructure for automated testing and failure triage, enhancing our simulation and log-driven test coverage while expediting root-cause analysis through automated log processing and diagnostics.Collaborate at the intersection of autonomy software and core robotics middleware, establishing clear APIs, data contracts, and performance benchmarks for messaging, state propagation, and inter-subsystem coordination, while partnering closely with downstream teams to facilitate their implementation and integration.Create and implement high-quality developer infrastructure and tools that emphasize reliability, performance, and usability, fostering rapid iteration, safe experimentation, and sustained productivity across the autonomy division.What You’ll Do:Lead the design and execution of scalable tools utilized throughout autonomy development and testing workflows.Engage with autonomy, QA, and infrastructure teams to gather requirements, prioritize tasks, and deliver impactful solutions.

Skydio stands at the forefront of the drone industry, recognized as the premier US drone manufacturer and a global leader in autonomous flight technology—integral to the future of aerial mobility. Our exceptional team merges profound knowledge in artificial intelligence with top-tier hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We aim to empower a diverse array of drone operators, from utility inspectors and first responders to military personnel in critical scenarios.Role Overview:As a Senior Autonomy Engineer specializing in control systems, you will play a crucial role in advancing the algorithms that govern the behavior of our autonomous drones. Your expertise will lead to the creation of stable and smooth flight dynamics and gimbal motion, enabling pilots to execute their missions seamlessly across various applications, including inspections, mapping, and security operations. You will be integral to developing and implementing core motion planning software, focusing on low-level stabilization and control while contributing to high-level task-specific frameworks.Your Impact:Design, tune, and assess low-level controllers and trajectory optimization techniques.Collaborate across software systems to define crucial data and interfaces that ensure effective control.Partner with the UX team to explore and establish planning and UI boundaries for innovative interaction paradigms.Qualifications:Experience in either industry or research environments developing software that interacts with real hardware, such as robotic arms, self-driving vehicles, or aerial robots.Proficiency in modern and classical control design methodologies.Expertise in C++ programming.Familiarity with dynamic programming techniques.Experience in non-linear optimization.Strong foundation in software engineering, emphasizing clean and well-architected code.Compensation: At Skydio, we offer competitive compensation packages for full-time employees, including a base salary, stock options, and comprehensive benefits. Compensation will vary based on experience and expertise. The annual salary range for this position is between $160,000 and $250,000. We also provide relocation assistance for eligible candidates.

Join Skydio, the premier US drone manufacturer and global leader in autonomous flight technology, which is pivotal for the future of drones and aerial mobility. Our team is a blend of experts in artificial intelligence, top-tier hardware and software development, operational excellence, and a strong focus on customer satisfaction. We empower a diverse range of drone users, from utility inspectors to first responders and military personnel in critical scenarios.About the Position:As an Autonomy Software Engineer, you will play a crucial role in enhancing our autonomy system's capabilities and reliability for our clientele. Your responsibilities will encompass the full cycle of developing new autonomous functionalities and deploying them to address various applications such as inspection, mapping, drone-as-first-responder (DFR), security, and improving situational awareness. These initiatives represent groundbreaking real-world applications of autonomous robots delivering significant value across critical industries.Your Impact:Collaborate closely with cross-functional teams in vision, planning & controls, deep learning, infrastructure, embedded systems, cloud, mobile, design, product, and flight testing to create advanced autonomous capabilities.Develop foundational robotics algorithms to enhance our autonomous operations in challenging conditions, including night-time, urban environments, areas with GNSS and C2 interference, maritime settings, and inclement weather.Address customer issues, identify trends, and swiftly enhance system resilience against field failures.Investigate investments in both simulated and real-world testing infrastructure.Gain a thorough understanding of core robotics principles alongside comprehensive knowledge of our system's functionality.Contribute across the software stack as needed, ensuring top-tier code quality and proactively managing technical debt.Invent, design, implement, simulate, assess, and execute new motion planning strategies to enhance our capabilities and customer satisfaction.Ideal Candidate Profile:A minimum of 1 year of experience in writing production-level code for autonomous robots, ideally for aerial systems, with strong proficiency in C++ and Python.Hands-on experience implementing cutting-edge algorithms in robotics-related domains, including computer vision, state estimation, and motion planning.

About UsAt Verkada, we are revolutionizing the way organizations safeguard their assets and personnel through our cutting-edge, AI-driven platform. As a premier provider in cloud-based physical security, we enable businesses to enhance safety and operational efficiency via a unified software solution that offers video surveillance, access control, environmental monitoring, alarm systems, intercoms, and visitor management capabilities.Trusted by over 30,000 organizations globally, including more than 100 Fortune 500 companies, Verkada serves as a vital component of their security infrastructure, ensuring seamless management, intelligent oversight, and scalable implementations. Established in 2016, we have rapidly grown to encompass 15 offices and a dedicated team of over 2,200 employees.Role OverviewIn this pivotal role, you will contribute to the development and enhancement of tools and systems that empower our developers, sales, and support teams. As a Backend Engineer, you will be tasked with designing innovative tools and refining existing solutions. Regardless of your experience level, this is a unique opportunity to make a meaningful impact on our organization.We pride ourselves on our vibrant in-office culture, and this position requires you to work onsite at our headquarters in San Mateo, CA.Your ResponsibilitiesFacilitate common cloud operations instead of relying solely on developer machines.Enhance license management processes.Break down monolithic support tools into smaller, more efficient applications.Upgrade the feature flags system.Develop AI-based tools.Create solutions that bolster security and privacy.Contribute to open-source projects utilized by Verkada.

Skydio builds autonomous drones for a wide range of users, from utility inspectors and first responders to military personnel in the field. Based in San Mateo, California, Skydio combines artificial intelligence expertise with advanced hardware and software development, always focused on customer needs. About the Cloud Infrastructure Team The Cloud infrastructure group keeps Skydio’s platform available whenever and wherever it’s needed, whether for routine inspections or urgent disaster response. With thousands of drones deployed worldwide, the team continually improves how infrastructure is delivered and updated. Role Overview The Infrastructure Software Engineer manages and evolves Skydio’s Kubernetes fleet, making key software changes to support new and changing requirements. This hybrid role spans both infrastructure and software, offering the chance to shape product architecture, security, and performance. The position suits someone who enjoys working across the stack and tackling a mix of challenges. What You’ll Do Redesign and maintain a growing Kubernetes fleet and its supporting systems. Improve and expand the continuous delivery pipeline for Skydio’s products. Work with teams from hardware to cloud to introduce new platform features. Partner with security experts to strengthen data and drone protection measures. Introduce cost-saving strategies early in the product lifecycle to support long-term growth. What We’re Looking For At least 2 years of experience in infrastructure or software engineering. Hands-on knowledge of Kubernetes and cloud platforms. Strong analytical and problem-solving skills, with a collaborative approach. Drive for innovation and a high standard of quality in your work. Location: San Mateo, California, United States

Skydio, a premier drone manufacturer based in the United States, stands at the forefront of autonomous flight technology, paving the way for the future of drones and aerial mobility. Our diverse team merges profound expertise in artificial intelligence with top-tier hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We empower a wide array of drone users, from utility inspectors to first responders and military personnel, to leverage our cutting-edge technology in various scenarios.About the Team: The Skydio Cloud Infrastructure team is dedicated to ensuring the Skydio Cloud platform is consistently available to our users at critical moments, whether conducting routine inspections or supporting rescue missions during emergencies. With a global fleet of thousands of drones, we are committed to continuous improvement, emphasizing robust delivery and testing pipelines as vital components of our operations.About the Role: As a Senior Infrastructure Engineer focused on an innovative product, you will play a pivotal role in maintaining our Kubernetes fleet and enhancing the core product software to meet evolving use cases. This position blends software engineering and infrastructure management, allowing you to address product deficiencies directly rather than solely relying on automation. We seek a professional who thrives on the autonomy to influence architecture, security, and functionality across the entire stack.Your Impact:Re-engineer and sustain the expanding requirements of our Kubernetes fleet and its underlying infrastructure.Enhance and broaden the continuous delivery processes for our product.Collaborate across teams (hardware to cloud) to introduce new capabilities to the platform.Engage directly with security teams to refine practices and controls that safeguard our customers' data and drones.Lead cost-saving initiatives early in the product lifecycle to ensure scalability.

About the RoleThis position is pivotal in overseeing infrastructure across our entire tech stack. If it exists in the cloud, it falls under your purview. In the world of robotics, data is essential, and we require robust, scalable infrastructure to manage, store, and process vast amounts of this data. The APIs, services, and monitoring systems you will manage are critical to our operations.Your Responsibilities Include:Managing compute resources (both CPU and GPU) to efficiently process petabytes of data at high throughput.Overseeing the infrastructure required for data processing and storage.Ensuring the security and integrity of our infrastructure and data.You Will Excel in This Role If You Have:A minimum of 5 years of experience in managing large-scale cloud infrastructure using tools such as Kubernetes and Terraform, with a primary focus on Python services.Deep understanding of AWS services (or their equivalents) and their permission models.Strong perspectives on the effective use of coding agents within an infrastructure context.

Skydio stands at the forefront of the drone industry, pioneering autonomous flight technology that is shaping the future of aerial mobility. Our team excels in the realms of artificial intelligence, cutting-edge hardware and software development, and a relentless focus on customer satisfaction. We aim to broaden the accessibility of drone technology to a diverse range of users, from utility inspectors to first responders and military personnel.Our mission is to harness transformative AI to create unparalleled flying machines for both enterprise and governmental use. Central to our autonomy system is the ability to understand the world through semantic and geometric insights derived from visual data. We are continually pushing the limits of real-time deep learning networks to enhance the capabilities of intelligent mobile robots.About the Role:If you’re passionate about utilizing extensive structured video data to tackle challenges in Computer Vision (CV)—including object detection, tracking, optical flow estimation, and segmentation—we would be thrilled to connect with you.How You’ll Make an Impact:Develop high-performance deep learning inference solutions for CV tasks, ensuring high throughput and minimal latency across various hardware platforms.Profile and analyze CV and Vision Language Models (VLMs) to identify performance bottlenecks, optimization opportunities, and enhance power efficiency in deep learning inference workloads.Design and implement comprehensive MLOps workflows for model deployment, monitoring, and re-training.Apply advanced Machine Learning expertise to leverage training/runtime frameworks or model efficiency tools to elevate system performance.Create innovative approaches to enhance training efficiency.Implement GPU kernels for custom architectures and optimized inference.Design and develop SDKs that empower customers and external developers to create autonomous workflows using machine learning.Leverage your expertise to uphold and enhance Skydio’s engineering standards.

Skydio stands as the preeminent drone company in the United States and a global leader in autonomous flight technology, which is vital for the future of drones and aerial mobility. Our team is comprised of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We aim to empower a diverse range of drone users, from utility inspectors to first responders and military personnel in various scenarios.About the Role:At the heart of our autonomy system is the ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of real-time deep learning networks, striving to enhance intelligent aerial robots capable of navigating unknown environments and delivering substantial operational value. If you are passionate about applying deep learning to real-world challenges in computer vision and autonomy, we encourage you to apply.As a Deep Learning Engineer, your primary responsibility will be to train and deploy optimized models for our products. You will tackle complex challenges including optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, and automated path planning.Your Impact:Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system.Utilize vast amounts of real-world video and sensor data for data mining, curation, labeling, training, and evaluation.Employ large-scale diverse synthetic data to enhance deep learning algorithms.Utilize state-of-the-art foundation models for knowledge distillation and efficient learning.Refine and optimize models for low-latency performance on embedded hardware.Develop evaluation benchmarks and metrics to assess the performance of autonomous systems.Contribute broadly to various aspects of the software as required.Your Qualifications:A Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.Proven hands-on experience in designing, training, and deploying deep learning models.Strong ability to produce high-quality, well-architected code (preferably in Python/PyTorch).

At Genesis Therapeutics, we are on a mission to revolutionize drug discovery by harnessing the power of machine learning, biophysical simulation, and computational chemistry. We are assembling a top-tier computational team and seek a passionate Infrastructure Engineer to contribute to the development of innovative medicines while playing a pivotal role in enhancing our AI platform.Your ResponsibilitiesCollaborate with the infrastructure team to sustain and expand our multi-cloud compute infrastructure that underpins ML model training, computational chemistry research, and ongoing drug discovery initiatives.Develop configuration and procedures for monitoring, resource allocation, and deployment automation to scale our autoscaling compute clusters for larger workloads.Enhance our orchestration scheduling framework to boost execution throughput, reliability, and compute utilization across diverse pipelines.Your QualificationsA minimum of 5 years of experience in building and maintaining large-scale cloud infrastructure, preferably in AWS or GCP.Strong proficiency in Python, Bash, Terraform, Ray, and Kubernetes.Experience in constructing and maintaining compute clusters for distributed ML training jobs utilizing 1,000+ GPUs is highly desirable.Hands-on experience with physical hardware and datacenter management is a plus.What We OfferAn opportunity to work on impactful infrastructure that accelerates the discovery of new medicines.Join a world-class, close-knit team of dedicated professionals across software, machine learning, computational chemistry, medicinal chemistry, and biology.Competitive salary and equity, along with comprehensive medical, dental, and vision insurance, and a 401(k) program.

Join Our Team at MaximaAt Maxima, we are pioneering an innovative AI platform designed to automate enterprise accounting processes. Our solution effectively manages vast amounts of financial data, intricate accounting workflows, and guarantees robust execution that is both precise and dependable.We are addressing some of the most challenging issues in enterprise automation, and we have attracted a stellar engineering team comprised of industry experts from renowned companies like Robinhood, Glean, Google, Netflix, and Meta. Backed by prestigious investors such as Kleiner Perkins and Redpoint Ventures, we are proud to serve leading clients like Scale AI and Rippling.Your RoleAs a Software Engineer specializing in Data Infrastructure, you will be instrumental in developing and scaling systems that efficiently ingest and process large financial datasets. This foundational platform supports all accounting workflows and the agentic system. Your responsibilities will include designing our data lakes, constructing multi-tenant relational databases, and exploring optimal search engine and vector database configurations to enhance various workflows.

Skydio stands at the forefront of the drone industry in the US, recognized globally as a leader in autonomous flight technology, which is pivotal for the future of aerial mobility. Our team is composed of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a strong dedication to customer satisfaction. We empower a diverse range of drone users, including utility inspectors, first responders, and military personnel, among others.About the Role:As an Autonomy Engineer, your primary focus will be the development and execution of the core planning and control systems for Skydio’s F10 tailsitter platform. This role presents unique challenges, as the F10 must operate reliably across various aerodynamic regimes while addressing the complexities of faster vehicle dynamics.Your Impact:Design, implement, simulate, and flight test innovative motion planning strategies.Create, refine, and evaluate new flight control systems.Analyze and enhance the aerodynamic and dynamic models of tailsitter aircraft using both simulated and actual flight data.Contribute to hardware design by defining sensor requirements and control authority through rigorous simulation and analysis.Step outside your comfort zone to assist in various areas of the engineering stack as needed.Your Qualifications:Proficient in C++ and Python, particularly in real-time applications.Experience in deploying software that controls physical hardware, such as aircraft, drones, and robotic systems.Solid understanding of aircraft and rotorcraft dynamics.Familiarity with non-linear optimization techniques.Knowledge of modern and classical control theories and practices.Strong foundations in software engineering with a commitment to producing clean, maintainable, and readable code.Experience working collaboratively within a larger codebase.Compensation:At Skydio, we offer competitive salary packages, stock options, and comprehensive benefits for our regular full-time employees. Salary will vary based on skill level, expertise, transferable knowledge, and experience. Relocation assistance may be available for eligible candidates.

Roblox Corporation seeks a Senior Software Engineer focused on Data Infrastructure and Safety in San Mateo, CA. This position plays a key part in maintaining the reliability and performance of the Roblox platform, with a strong focus on user protection and a secure environment. Role overview This engineer will design and build scalable data infrastructure to support Roblox’s continued growth. The work centers on improving data quality and reliability, ensuring the platform remains robust as user numbers increase. Collaboration with teams from various disciplines is essential to identify, investigate, and resolve safety-related issues. System architecture decisions made in this role will directly influence user safety and experience. Responsibilities Develop and implement scalable data infrastructure solutions for the Roblox platform Enhance data quality and reliability across systems Work with cross-functional teams to address and resolve safety issues Contribute to architectural decisions that impact user safety and overall experience Requirements Significant experience in software development, data management, and system architecture Proven ability to design solutions that scale with the platform’s growth Strong collaboration skills, especially for addressing safety concerns across teams This role directly influences the safety and experience of millions of Roblox users, supporting the company’s ongoing commitment to a secure and engaging platform.

About UsAt Verkada, we are revolutionizing the way organizations safeguard their people and property through an integrated, AI-powered platform. As a frontrunner in cloud physical security, Verkada empowers more than 30,000 organizations globally—including over 100 Fortune 500 companies—to enhance their safety and operational efficiency via a unified software platform that offers solutions for video surveillance, access management, air quality monitoring, alarms, intercoms, and visitor management.Founded in 2016, Verkada has experienced rapid growth, boasting 15 offices and a dedicated team of over 2,200 employees.The RoleJoin our innovative cloud infrastructure team, where you will play a crucial role in designing, building, and maintaining highly scalable, reliable systems that power Verkada’s services. You will have the chance to work on exciting projects such as scaling microservice clusters, automating serverless deployments, adopting a full service mesh, and enhancing system observability. Take charge of a subdomain and lead collaborative efforts across teams.This position requires your presence at our headquarters located in San Mateo, CA, as we are dedicated to fostering a vibrant in-office culture.

About Us:At Fireworks AI, we are at the forefront of creating next-generation generative AI infrastructure. Our cutting-edge platform is recognized for delivering the highest-quality models with unparalleled speed and scalability in inference. Independently benchmarked as a leader in LLM inference speed, we drive significant advancements through innovative projects, including our proprietary function calling and multimodal models. As a Series C company valued at $4 billion and backed by leading investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic, we are a dynamic team of builders, comprised of veterans from Meta PyTorch and Google Vertex AI.The Role:We are seeking a talented Software Engineer to join our AI Infrastructure team. In this pivotal role, you will contribute to designing and developing the foundational systems that power Fireworks AI’s generative AI platform. Your focus will be on building robust infrastructure and tools that guarantee the reliability, performance, quality, and availability of our AI systems.Our mission is to establish Fireworks AI as the most dependable and user-friendly generative AI platform globally. You will collaborate closely with our cloud infrastructure, product, and performance teams to create infrastructure solutions that connect our customers with the high-performance proprietary Fireworks inference engine.Key Responsibilities:Design and develop scalable backend infrastructure supporting distributed training, inference, and data pipelines.Build and maintain essential backend services, including LLM CI/CD pipelines, control planes, and model serving systems.Enhance performance optimization, cost efficiency, and reliability across compute, storage, and networking layers.Create frameworks and safeguards to ensure Fireworks AI maintains the highest model quality in the industry.Work alongside performance, training, and product teams to translate research and product requirements into effective infrastructure solutions.Engage in code reviews, technical discussions, and continuous integration and deployment processes.

About the RoleAt Generalist, we are at the forefront of training expansive robot foundation models, leveraging cutting-edge GPU hardware, primarily from Nvidia, to execute distributed training tasks and experimental research. Our operations demand exceptional storage solutions and optimized data loading processes, necessitating the full utilization of cloud infrastructure alongside custom-built solutions.In this role, you will take charge of our inference infrastructure. Our robotic systems rely on a dedicated fleet of on-premises GPUs designed for demanding real-time computations and latency-sensitive applications within resource-constrained environments.Your Responsibilities:Manage and optimize our GPU compute fleets.Facilitate user-friendly access to GPUs for researchers, ensuring optimal utilization.Enhance ML data loading, transport, and storage systems in extensively utilized distributed environments.Oversee the orchestration of our robot inference fleets.You May Excel in This Position If You:Have experience managing large GPU fleets for large-scale, distributed training or inference.Possess significant expertise in using Slurm or Kubernetes for ML workload orchestration.Have developed high-scale ML data loaders and preparation systems.Understand the intricacies of ML hardware, storage, and networking systems.Are familiar with the Nvidia GPU ecosystem.

Join Our Innovative TeamAt Genesis Therapeutics, we are a dynamic and passionate group of drug discovery experts, deep learning researchers, and software engineers dedicated to revolutionizing biochemistry through AI. Our mission is clear: to uncover and develop transformative therapies for patients with severe medical conditions.Our AI team is at the forefront of creating foundational models for small molecule drug discovery. We conduct cutting-edge research that bridges machine learning, physics, and computational chemistry, while building resilient software systems capable of executing large-scale simulations and training advanced generative and predictive AI models utilizing our powerful cluster of thousands of GPUs and tens of thousands of CPUs.Your RoleWe are on the lookout for skilled ML infrastructure engineers to propel our machine learning research initiatives, particularly in generative modeling of molecular systems, which is vital to our overarching goals.In this position, you will spearhead the rapid advancement of our AI platform and infrastructure, enhancing performance, efficiency, and scalability to unprecedented levels. You will construct expansive distributed training and inference pipelines, essential MLOps tools and frameworks, and fine-tune GPU operations to accelerate ML model performance.Genesis fosters a collaborative and interdisciplinary environment, allowing you to work closely with our talented engineers, researchers, and scientists.Your ResponsibilitiesDrive engineering initiatives aimed at the continuous enhancement of our AI platform, focusing on the rapid development of scalable and robust distributed infrastructures for ML training, inference, and evaluation.Facilitate model training and deployment across various clusters and cloud environments, optimizing for throughput and cost-effectiveness.Maximize the efficiency of ML models and other workloads in terms of latency, throughput, and memory usage, particularly through GPU performance engineering, pushing the boundaries of current hardware capabilities.Contribute to the long-term strategic vision for Genesis’ infrastructure platform.Your ProfileA strong engineering background with a focus on machine learning infrastructure.

Skydio stands as the premier drone company in the United States and a global leader in autonomous flight technology, which is pivotal for the future of drones and aerial mobility. Our team merges profound expertise in artificial intelligence with exceptional hardware and software product development, operational excellence, and an unwavering commitment to customer satisfaction. We empower a diverse range of drone users, from utility inspectors to first responders, and military personnel in various scenarios.About the Role:At the heart of our autonomy system is the ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of pushing the limits of real-time deep networks, driving advancements in intelligent mobile robotics.If you are passionate about tackling open-ended challenges in object detection and tracking, motion prediction, flow estimation, and comprehensive scene understanding, while utilizing extensive structured video data, we encourage you to apply.Your Impact:Develop and deploy deep learning solutions to address detection, tracking, segmentation, and optical flow estimation tasks in real-time on Skydio drones.Utilize cutting-edge methods in unsupervised learning, few-shot learning, and foundational models to enhance data-efficient machine learning.Curate and augment synthetic data that fuels our deep learning algorithms in conjunction with vast amounts of structured video data.Refine and optimize models for low-latency performance on embedded hardware.Evaluate and quantify the performance of vision systems.Engage in research and prototype innovative approaches.Act as a versatile contributor across various software domains as needed.Your Qualifications:Proven hands-on experience in creating and deploying deep learning models.Experience in curating both synthetic and real-world image datasets.Strong software engineering background with a dedication to writing clean, well-architected code (proficiency in Python or C++, ideally both).Demonstrated experience in prototyping, training, optimizing, and deploying deep neural networks.Ability to read and contextualize scientific research and literature in computer vision.Capacity to thrive in a fast-paced, collaborative small team environment.

Every day, millions of users engage with Roblox to dive into, create, and share immersive 3D digital experiences—all powered by our vibrant community of developers and creators.At Roblox, our mission is to empower creators by providing the tools and platform necessary to bring their imaginative experiences to life. Our vision is to revolutionize global connectivity, enabling people to connect and engage from anywhere, on any device. We strive to connect a billion individuals with positivity and civility, and we are on the lookout for exceptional talent to join us on this journey.Joining Roblox means being at the forefront of shaping the future of human interaction, tackling unique technical challenges at scale, and contributing to safer, more respectful shared experiences for all.As a Senior Software Engineer on the Engine DataModel team, you will play a pivotal role in innovating and maintaining the foundational elements that are essential to the Roblox platform. The DataModel within the Roblox Engine resembles a tree-like structure similar to a scenegraph found in other 3D engines. This position reports to the engineering manager and is based at our headquarters in San Mateo, CA, following a hybrid work model of three days in the office (Tuesday to Thursday).Our team is responsible for:The core structures and systems used to build and interact with the DataModel.The C++ reflection bindings that create the Engine’s Luau API surface, enabling creators to interact with the DataModel. We utilize custom code generation tooling to produce the C++ for these bindings and other related structures.DataModel serialization and much more!You will:Develop high-performance engine code for all user-generated games on the Roblox platform.Build the core systems and data structures utilized in the Roblox engine, collaborating with other teams to devise universal solutions.Take ownership of projects throughout their entire lifecycle.Execute code that operates efficiently across all devices supported by Roblox, from desktop clients to mobile and console clients.You have:Experience in developing robust systems-level C++ programming.H...