Staff AI Security Engineer

Join Us in Our Mission!Illumio is a pioneering force in ransomware and breach containment, transforming the way organizations protect themselves against cyber threats and achieve operational resilience. Leveraging the Illumio AI Security Graph, our advanced breach containment platform effectively identifies and mitigates threats within hybrid multi-cloud env…

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is developing critical digital infrastructure aimed at integrating intelligence into every moving machine worldwide. Serving industries such as automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition excels in three primary areas: tools and infrastructure, operating systems, and autonomy. The company’s solutions are trusted by 18 of the top 20 global automakers, along with the United States military and its allies. With its headquarters in Sunnyvale, California, Applied Intuition has additional offices in key locations including Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We operate primarily in-office, with a standard expectation for employees to work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when necessary to accommodate family commitments.Role OverviewAs a key member of our cloud platform team, you will play a vital role in the development and improvement of our large-scale simulation infrastructure. Modern autonomous system development heavily relies on realistic, large-scale simulations to test ongoing software updates. Your focus will be on ensuring the efficiency and reliability of systems that manage these extensive workloads. The scale of our product workloads challenges the limits of conventional cluster deployments, and you will be instrumental in building and maintaining this infrastructure, while ensuring interoperability with various custom autonomy software used globally.You will collaborate closely with the entire engineering team to ensure operational success across our backend systems and various customer deployments at Applied Intuition.

Join Wayve as a Cloud Infrastructure Engineer and play a pivotal role in shaping the future of autonomous driving technology. In this dynamic position, you will design, implement, and maintain scalable cloud infrastructure solutions that support our innovative projects. You will collaborate with cross-functional teams to ensure high availability and performance of our cloud services.

About the TeamAt Taara, born from X, Google's Moonshot Factory, we are dedicated to connecting billions of individuals who currently lack access to affordable and reliable internet. Our innovative approach utilizes light to deliver faster and more economical connectivity solutions. Join us in our mission to bridge the digital divide and illuminate the future through groundbreaking wireless optical communication and photonics chip technologies.About the RoleAs a Senior Backend Software Engineer, Cloud & Infrastructure, you will serve as the architect of our global network's core operations. While our hardware establishes the connections, your software will oversee and optimize them. You will be responsible for designing and scaling distributed systems, APIs, and cloud-native infrastructures that monitor and control our wireless optical terminals deployed in the field.We are looking for a versatile candidate who excels in building dependable and scalable backend systems. You should be comfortable developing high-performance Go services, architecting extensive data pipelines for telemetry, and automating cloud infrastructures.Your Impact:Scale the Control Plane: Design and implement a cloud-native backend that manages thousands of optical terminals across the globe.Architect Telemetry Pipelines: Create robust data ingestion and processing systems to handle real-time performance metrics from our optical terminals.Bridge Edge and Cloud: Collaborate with hardware engineers to establish secure and efficient communication between our devices and the cloud.Automate Everything: Spearhead our Infrastructure as Code (IaC) strategy to ensure resilient and reproducible global deployments.Drive Observability: Develop monitoring tools and dashboards to empower our Network Operations Center (NOC) to troubleshoot complex optical links swiftly.

Join Coram AI, where we are redefining video security for a modern landscape. Our innovative, cloud-native platform harnesses computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid operational responses, ranging from real-time alerts to effortless clip sharing and comprehensive visibility across multiple sites.As a member of our dynamic and agile team, you will embrace clarity, craftsmanship, and impactful contributions. Every team member's voice matters, they deliver significant results, and collectively shape the future of AI in making the world safer and more interconnected.About the Role:At Coram AI, our infrastructure transcends the conventional cloud-based stack. Alongside our AWS and Kubernetes framework, we manage an extensive array of IoT devices remotely. We are seeking a skilled engineer to take charge of a substantial segment of our edge and cloud architecture that supports our IoT product line—responsible not only for infrastructure but also for developing and maintaining our proprietary in-house software.Joining our team means tackling intriguing challenges at the crossroads of user experience, machine learning, and infrastructure. It embodies a commitment to excellence, continuous learning, and delivering exceptional products to our clients in a high-energy startup environment.Key Responsibilities:Develop and maintain production-grade software for our custom edge infrastructure stack.Provision and manage resources within AWS.Oversee provisioning and management for hundreds of thousands of deployed connected IoT devices.Create CI/CD and automation pipelines for various components of the stack.Implement observability and telemetry across our cloud applications and edge devices.Assist in maintaining compliance with various security standards (e.g., SOC2, HIPAA).Enhance developer productivity by optimizing development workflows.This is an onsite role located in Sunnyvale.Qualifications:Minimum of 3 years of experience in developing production infrastructure on AWS using infrastructure as code tools like Pulumi or Terraform.Proficient in Docker and Kubernetes, especially EKS.At least 3 years of experience with programming languages such as Python, Go, or similar.

Join Meshy as an AI Infrastructure EngineerLocated in the heart of Silicon Valley, Meshy is a pioneering force in the realm of 3D generative AI. Our mission is to Unleash 3D Creativity, revolutionizing the content creation process. We empower both professional artists and enthusiastic hobbyists to effortlessly craft extraordinary 3D assets, converting text and images into breathtaking 3D models in mere minutes. What used to require weeks of effort and thousands of dollars now takes just 2 minutes and costs only $1.Our elite team comprises leading experts in computer graphics, AI, and artistry, featuring alumni from prestigious institutions such as MIT, Stanford, and Berkeley, alongside seasoned professionals from Nvidia and Microsoft. With a diverse workforce spread across North America, Asia, and Oceania, we cultivate a culture of innovation aimed at solving global 3D challenges. We are backed by top-tier venture capital firms including Sequoia and GGV, having successfully raised $52 Million in funding.Meshy stands as the market leader, acclaimed as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and leading in web traffic (as per SimilarWeb, with 3 Million monthly visits). Our platform supports over 5 Million users and has facilitated the generation of 40 Million models.Our Founder and CEO, Yuanming (Ethan) Hu, earned his Ph.D. in graphics and AI from MIT, where he created the highly regarded Taichi GPU programming language (27K stars on GitHub, utilized by over 300 institutes). His influential work includes an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and more than 2,700 research citations.Your RoleThis position merges platform engineering, site reliability, and applied ML systems. You will be responsible for ensuring the reliability, scalability, and operability of Meshy's AI model serving stack and core engineering infrastructure. The team manages a conventional production infrastructure (CI/CD, build systems, deployment, runtime environments) while developing a model-serving platform that links the models created by our Research Team to product-facing backend systems.This role is systems-heavy, focused on production, and dedicated to transforming experimental model artifacts into robust, observable, and cost-efficient services.Key ResponsibilitiesEnsure production reliability: manage availability, latency, error budgets, incident response, postmortems, and follow-ups.Develop and maintain observability frameworks: metrics, logs, traces, and alerting systems.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is building the essential digital infrastructure to infuse intelligence into every moving machine on Earth. Serving a diverse range of industries including automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition excels in three key domains: tools and infrastructure, operating systems, and autonomy. Eighteen of the world's top 20 automakers, along with the United States military and its partners, rely on our solutions to deliver physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, FL; Ann Arbor, MI; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.As an in-office company, we expect our employees to primarily work from their Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.Role and Team OverviewWe seek a dedicated Research Engineer (AI/RL Infrastructure) to join our Research Group at Applied Intuition. This position is perfect for engineers who design, build, and maintain large-scale machine learning systems and collaborate closely with researchers to innovate and enhance the foundational platform for next-generation physical AI systems.The Research Group's mission is to develop pioneering technologies that facilitate next-generation physical AI, focusing on two of the most challenging applications that are transforming our daily lives: end-to-end autonomous driving and robotic generalists. Our team comprises leading experts from prestigious institutions and organizations, recognized for their outstanding contributions in both academia and industry, including multiple Best Paper awards at top conferences and journals such as CVPR and ICRA. For further insights, visit appliedintuition.com/research.

Cerebras Systems is revolutionizing the AI industry by developing the world’s largest AI chip, 56 times the size of traditional GPUs. Our innovative wafer-scale architecture delivers the computational power of dozens of GPUs on a single chip, while simplifying programming to the ease of a single device. This unique approach enables Cerebras to achieve unmatched training and inference speeds, empowering machine learning professionals to seamlessly operate large-scale ML applications without the complexities of managing multiple GPUs or TPUs. Our esteemed clientele includes leading model labs, global corporations, and pioneering AI-native startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aiming to leverage 750 megawatts of scale to transform critical workloads through ultra high-speed inference. With our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, achieving speeds over 10 times faster than GPU-based hyperscale cloud inference services. This unprecedented speed enhances the user experience of AI applications, enabling real-time iterations and increased intelligence through advanced computation capabilities. About The RoleThe AI Infrastructure Operations Engineer (SiteOps) is an entry-level position focusing on the deployment, initialization, monitoring, and first-response troubleshooting of Cerebras AI infrastructure within data center settings. This role plays a critical part in supporting Cerebras systems, cluster server hardware, networking hardware, and monitoring tools.Your responsibilities will include ensuring the reliable operation and scalability of Cerebras AI clusters by executing established hardware initialization and validation protocols, monitoring telemetry data, performing initial troubleshooting, and escalating issues according to predefined workflows.

Cerebras Systems revolutionizes the AI landscape with the creation of the world’s largest AI chip, a remarkable 56 times larger than conventional GPUs. Our innovative wafer-scale architecture delivers the computational power of numerous GPUs on a single chip, simplifying programming efforts for users. This unique approach enables Cerebras to achieve unparalleled training and inference speeds, empowering machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing hundreds of GPUs or TPUs.Our clientele includes leading model laboratories, global enterprises, and pioneering AI-native startups. Notably, OpenAI recently announced a multi-year partnership with Cerebras to deploy 750 megawatts of scale, significantly enhancing key workloads with ultra-high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference provides the fastest Generative AI inference solution globally, exceeding the performance of GPU-based hyperscale cloud inference services by over ten times. This significant speed enhancement transforms the user experience of AI applications, facilitating real-time iterations and augmented intelligence through additional agentic computation.About The RoleWe are on the lookout for a highly skilled and experienced AI Infrastructure Operations Engineer to oversee and manage our state-of-the-art machine learning compute clusters. In this role, you will have the unique opportunity to work with the world’s largest computer chip, the Wafer-Scale Engine (WSE), and the systems that leverage its extraordinary power.You will play a pivotal role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our expanding AI initiatives. This position requires an in-depth understanding of Linux-based systems, expertise in containerization technologies, and experience in monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with a strong background in large-scale compute infrastructure who is reliable and committed to customer success.

At Coram AI, we are revolutionizing video security for today's world. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence technologies to empower businesses to enhance safety, make informed decisions, and accelerate their operations. From real-time alerts to effortless clip sharing and multi-site visibility, our solutions are designed for the modern enterprise.Joining our small yet dynamic team means becoming part of an environment that prioritizes clarity, craftsmanship, and impactful contributions. Every team member has a voice, delivers meaningful projects, and plays a crucial role in harnessing AI to create a safer and more interconnected world.The Role:We are looking for a Product Manager (PM) who will lead the development and success of Coram’s video security product line, which is our flagship offering.Your Responsibilities:Collaborate directly with the CEO to shape the product roadmap and AI strategy.Take ownership of the video security product line from conception to execution, aiming to establish it as the premier AI-driven video system available.Work closely with Engineering, Design, Sales, and customers to rapidly deliver high-quality features.Play a pivotal role in transforming an already well-received product into one that scales exponentially in both size and revenue.As the de-facto Product Manager replacing the CEO, you will encounter high expectations and invaluable learning opportunities, allowing you to directly influence the creation of a category-defining AI company.Key Responsibilities:Define and implement the strategic roadmap for the video security product line.Collaborate with engineering and design teams to deliver high-quality features promptly.Continuously assess the product, identify bugs, and proactively suggest enhancements.Work alongside Sales and customers to recognize product gaps and prioritize them effectively.Develop expertise in the competitive landscape, analyze deal outcomes, and enhance the product for consistent wins.Ensure the product maintains its status as the leading Physical AI system on the market.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is dedicated to building the essential digital framework required to integrate intelligence into every moving machine worldwide. Serving key sectors such as automotive, defense, trucking, construction, mining, and agriculture, Applied Intuition focuses on three main areas: tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the top 20 global automakers and the U.S. military along with its allies, our solutions are leading the charge in delivering physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Fort Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We prioritize in-office collaboration, with the expectation that employees work from our Applied Intuition office five days a week. We value flexibility and trust our team to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About the RoleWe are on the lookout for a dedicated Cloud Security Engineer who will be instrumental in defining our environmental architecture and deployment strategy. Collaborating closely with our Corporate Security & Infrastructure team, you will be pivotal in securing our infrastructure within diverse multi-cloud ecosystems (AWS, Azure, GCP, OCI), with a significant focus on Kubernetes cluster hardening. Your responsibilities will include establishing robust guardrails, enforcing Identity and Access Management policies, and upholding our Cloud Security Posture Management (CSPM) to avert insecure deployments and guarantee ongoing compliance.

Cerebras Systems is at the forefront of AI technology, having developed the world's largest AI chip, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture combines the computational power of numerous GPUs onto a single chip with the ease of programming akin to a single device. This unique design enables Cerebras to achieve unparalleled training and inference speeds, making it possible for machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing multiple GPUs or TPUs.Our esteemed clientele includes leading model labs, global enterprises, and pioneering AI-native startups. Notably, OpenAI has recently forged a multi-year partnership with Cerebras, committing to deploy 750 megawatts of scale, thereby revolutionizing critical workloads through ultra high-speed inference.Thanks to our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution available today, exceeding the speed of GPU-based hyperscale cloud inference services by more than tenfold. This significant speed enhancement is reshaping the AI application user experience, facilitating real-time iterations and amplifying intelligence through additional agentic computation.About The RoleThis Senior Technical Program Manager role is pivotal in overseeing site and data center operations programs that support Cerebras’ AI Cloud and customer deployments. This position is based at our Sunnyvale headquarters and involves close collaboration with Hardware Engineering, Inference Engineering, and Operations leadership to ensure that Cerebras systems are deployed, operated, and scaled reliably.This is a highly technical, execution-driven TPM role emphasizing operational readiness, cross-functional collaboration, and the establishment of metrics and KPIs.ResponsibilitiesLead end-to-end technical programs for data center and site operationsServe as the single-threaded owner across: Hardware & Systems EngineeringAI Cloud Infrastructure & Operations

CoreWeave is looking for a Senior Manager, Data Infrastructure Services to guide the development and operation of its data systems. This position is based in Sunnyvale, CA or Bellevue, WA. Role overview This role centers on leading data initiatives and shaping the company’s data infrastructure. The Senior Manager will focus on building and maintaining systems that support data accessibility and reliability across the organization. What you will do Oversee the design, implementation, and maintenance of CoreWeave’s data infrastructure Ensure data systems align with organizational needs and growth Drive improvements in data accessibility and usability Who thrives here This position suits a strategic thinker who enjoys building and enhancing data ecosystems. Leadership skills and a drive to support innovative data projects are important for success in this role.

About the Institute of Foundation ModelsWe are a pioneering research laboratory focused on the development, understanding, application, and risk management of foundational models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make substantial contributions to a knowledge-driven economy.Join us and collaborate with top-tier researchers, data scientists, and engineers on the forefront of foundational model training. Engage in solving critical challenges that can redefine entire sectors through advanced AI solutions. Your strategic and innovative problem-solving skills will play a vital role in positioning MBZUAI as an international leader in high-performance computing for deep learning, facilitating discoveries that will inspire future AI trailblazers.The Role We are seeking a skilled distributed ML infrastructure engineer to enhance and expand our training systems. You will collaborate closely with distinguished researchers and engineers to:• Develop and scale distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod)• Implement distributed optimizers based on mathematical specifications• Create robust configuration and launching systems across multi-node, multi-GPU clusters• Manage experiment tracking, metrics logging, and job monitoring for enhanced external visibility• Enhance the reliability, maintainability, and performance of training systems• While much of your work will support large-scale pre-training, prior pre-training experience is not mandatory; strong infrastructure and systems expertise are our primary focus.Key Responsibilities • Distributed Framework Ownership – Extend or adapt training frameworks (e.g., DeepSpeed, FSDP) to accommodate new applications and architectures.• Optimizer Implementation – Convert mathematical optimizer specifications into distributed implementations.• Launch Config & Debugging – Develop and troubleshoot multi-node launch scripts with adaptable batch sizes and parallelism strategies.

At Coram AI, we are transforming the landscape of video security in the digital age. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses with enhanced safety, smarter decision-making capabilities, and accelerated operational efficiency through features like real-time alerts, effortless clip sharing, and comprehensive multi-site visibility.Join our dynamic and agile team that prioritizes clarity, craftsmanship, and impactful contributions. Every team member plays a crucial role, delivering significant results and shaping the future of AI-driven security solutions.We are seeking an experienced Engineering Manager to lead our talented AI team at Coram. This team, although small, is exceptionally skilled and operates at the forefront of real-time systems, computer vision, and generative AI.In this hands-on leadership role, you will blend technical guidance, architectural oversight, recruitment, and team management. The ideal candidate will possess up-to-date knowledge of modern deep learning and generative AI, along with substantial experience in building and leading high-performance teams.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Since our inception in 2017, we have grown to a valuation of $15 billion, providing essential digital infrastructure that enhances intelligence across every moving machine worldwide. Our services cater to a variety of sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers, along with the U.S. military and allied forces. Our headquarters is located in Sunnyvale, California, with additional offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more at applied.co.We prioritize in-office collaboration, expecting employees to work from our offices five days a week while also valuing flexibility. Employees can manage their schedules to accommodate remote work as needed, such as starting the day with morning meetings from home or adjusting hours for family commitments.About the RoleWe are seeking a dedicated Senior Software Engineer to take ownership of our HD maps infrastructure. Our innovative product suite leverages HD maps to meet diverse customer needs, including localized information calculation, global data querying, and map visualization and inspection. This role offers an exciting opportunity to shape the future of our mapping solutions through collaboration with both engineering teams and customers.Your Responsibilities at Applied Intuition:Manage and enhance our maps infrastructure across all products.Define the map storage format to support additional features and facilitate the distribution of map data, focusing on user interfaces, data pipelines, and SDKs.

We are seeking an experienced Infrastructure Project Manager to lead and oversee critical infrastructure projects. You will be responsible for planning, executing, and finalizing projects according to strict deadlines and within budget. This involves coordinating with various stakeholders, managing project teams, and ensuring the highest quality of deliverables.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, facilitate informed decision-making, and accelerate operations. This includes features such as real-time alerts, effortless clip sharing, and comprehensive visibility across multiple locations.Joining our agile and dynamic team means being part of a collaborative environment that prioritizes clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer and more interconnected world.We are seeking engineers who thrive at the nexus of robotics, real-time systems, and deep learning. This position focuses on implementing high-performance vision and multimodal models on robotic platforms, where factors such as latency, reliability, and hardware limitations are paramount.

Role Overview Cerebras Systems is looking for a Staff Software Engineer focused on Inference Cloud. This position is based in Sunnyvale, CA. What You Will Do Design, develop, and optimize software for inference products Work closely with team members to improve performance and reliability Apply advanced AI and machine learning methods to real-world challenges Collaboration Work alongside experienced engineers on projects that shape the future of inference technology at Cerebras Systems.