Engineering Manager, AI at Coram AI | Sunnyvale

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.

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.

At Coram AI, we are revolutionizing video security for the contemporary landscape. Our innovative cloud-native platform leverages computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and accelerate operations, featuring real-time alerts, effortless clip sharing, and multi-site visibility.Joining our dynamic and agile team means becoming part of a culture that prioritizes clarity, quality, 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 seek an exceptionally skilled software engineer to develop high-performance, real-time software that operates on edge devices while adhering to stringent latency and memory limitations. This position emphasizes deterministic execution, distributed system architecture, and low-level performance enhancements. You will focus on constructing the infrastructure and runtime systems that enable real-time robotics applications.

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 developing essential digital frameworks to infuse intelligence into every moving machine worldwide. Our services cater to pivotal industries such as automotive, defense, trucking, construction, mining, and agriculture, focusing on three main areas: tools and infrastructure, operating systems, and autonomy. With a clientele that includes 18 of the top 20 global automakers, along with the U.S. military and allied forces, our solutions are trusted for their ability to deliver physical intelligence. Headquartered in Sunnyvale, California, we also have 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 are committed to an in-office work culture, expecting our employees to work primarily from the Applied Intuition office five days a week. We also understand the necessity for flexibility, empowering our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before coming to the office, or leaving early for family obligations.Join Our Vehicle OS Team!The Vehicle OS team is developing a versatile suite of products that assist vehicle manufacturers in creating, deploying, and updating comprehensive vehicle software and AI applications. Explore the innovative projects, culture, and excitement that make this team a standout at Applied Intuition.Role OverviewWe are seeking a dynamic Product Security Engineer to join our Purple Team. In this vital role, you will help safeguard the security and integrity of our products, with a specific focus on our Vehicle OS, Self-Driving Systems, and Over-The-Air (OTA) updates.

About the Role Meshy is looking for a Fullstack Engineer Intern in Sunnyvale. This internship offers practical experience building web applications and services alongside a collaborative team. Interns contribute to different stages of the development lifecycle, from planning to implementation. What You Will Do Develop and maintain web applications and backend services Work with team members across the development process Gain hands-on experience with modern technologies

Cerebras Systems is at the forefront of AI technology, developing the world's largest AI chip that is 56 times greater than conventional GPUs. Our innovative wafer-scale architecture delivers the computational capabilities of numerous GPUs on a single chip, simplifying programming to the level of a single device. This groundbreaking approach enables Cerebras to achieve unmatched training and inference speeds, allowing machine learning practitioners to seamlessly execute large-scale ML applications without the complexities of managing extensive GPU or TPU resources. Our clientele includes leading model laboratories, global corporations, and pioneering AI-centric startups. Notably, OpenAI has recently entered into a multi-year partnership with Cerebras, aiming to deploy 750 megawatts of capacity, revolutionizing key workloads with exceptionally rapid inference speeds. Thanks to our extraordinary wafer-scale architecture, Cerebras Inference provides the swiftest Generative AI inference solution available today, operating over ten times faster than GPU-based hyperscale cloud inference services. This significant boost in speed is reshaping the user experience in AI applications, facilitating real-time iterations and enhancing intelligence through advanced agentic computation. About The Role We are looking for an exceptionally talented Deployment Engineer to design and manage our state-of-the-art inference clusters. In this role, you will have the opportunity to work with the unparalleled Wafer-Scale Engine (WSE) and the systems that exploit its extraordinary capabilities.

Join Us in Shaping the Future!At Illumio, we are pioneers in ransomware and breach containment, transforming the way organizations tackle cyber threats and enhance operational resilience. Our innovative breach containment platform, fueled by the Illumio AI Security Graph, effectively identifies and mitigates threats across hybrid multi-cloud environments—preventing potential disasters before they escalate.As a recognized leader in the Forrester Wave™ for Microsegmentation, Illumio champions Zero Trust principles, bolstering cyber resilience for the critical infrastructure and systems that sustain global operations.Our Vision:Our Engineering team thrives on a culture of visionary leadership, autonomy, and ownership, fostering a collaborative environment that propels us forward in the rapidly evolving cybersecurity landscape.By joining our team, you will contribute to the leader in Zero Trust Segmentation, utilizing a cutting-edge technology stack that encompasses operating systems, distributed applications, and immersive UI/visualization tools.Together, we are shaping the future of cybersecurity, crafting world-class products led by diverse perspectives and a shared commitment to innovation amidst unprecedented cybersecurity challenges.Your Responsibilities:Architect cloud solutions that effectively address business challenges while balancing architectural integrity and business margins.Collaborate with cross-functional teams, including product managers, developers, and DevOps engineers, to comprehend business requirements and design scalable cloud architectures.Design, deploy, and manage cloud architectures adhering to industry best practices, with a focus on efficiency, scalability, availability, performance, and security.Assess and select suitable cloud technologies and platforms, including Kubernetes, to fulfill organizational needs and foster innovation.Enhance cloud-based systems for high availability, fault tolerance, and disaster recovery capabilities.Implement and oversee monitoring, logging, and alerting systems to ensure optimal health and performance of cloud infrastructure.Identify and rectify performance bottlenecks, security vulnerabilities, and operational challenges within the cloud environment.Stay abreast of the latest trends, technologies, and best practices in cloud computing, distributed systems, and cybersecurity.

Join our dynamic team as a Senior Staff AI Engineer, where you will lead cutting-edge AI modeling initiatives that drive innovation and excellence. In this pivotal role, you will collaborate with cross-functional teams to architect, design, and implement state-of-the-art AI solutions. Your expertise will guide the development of robust algorithms and models that enhance user experiences and optimize performance.

Join Applied Intuition as a Software Engineer specializing in AI Engineering, where you'll have the opportunity to work on cutting-edge technology and contribute to innovative projects that shape the future of artificial intelligence. As part of our dynamic team, you will collaborate with talented professionals to design, develop, and implement AI solutions that address real-world challenges.

Join our dynamic team as a Staff AI Engineer - AI Privacy Specialist, where you will play a crucial role in advancing our commitment to user privacy and data protection. You will leverage cutting-edge artificial intelligence technologies to create innovative solutions that enhance privacy measures across our platforms.Your expertise in AI and privacy will empower you to collaborate with cross-functional teams, ensuring that our products meet the highest standards of data integrity and user trust.

Cerebras Systems is at the forefront of AI innovation, manufacturing the largest AI chip in the world, which is 56 times bigger than conventional GPUs. Our cutting-edge wafer-scale architecture provides the computational power equivalent to dozens of GPUs on a single chip, simplifying programming to the level of a single device. This pioneering approach enables us to offer unmatched training and inference speeds, allowing machine learning practitioners to smoothly execute large-scale ML applications without the complexity of managing numerous GPUs or TPUs. Our clientele includes leading model laboratories, major global corporations, and innovative AI-native startups. Notably, OpenAI has recently partnered with Cerebras to leverage 750 megawatts of scale, revolutionizing critical workloads with ultra-high-speed inference. Our advanced wafer-scale architecture makes Cerebras Inference the fastest Generative AI inference solution available, outperforming GPU-based hyperscale cloud inference services by over tenfold. This remarkable speed enhancement is reshaping the user experience of AI applications, enabling real-time iterations and enhanced intelligence through additional agentic computation.In late 2024, we launched Cerebras Inference, setting a new standard for Generative AI inference speed. Since its launch, we have rapidly scaled our services to meet the rising demand from AI labs, enterprises, and a vibrant developer community.In October 2025, we celebrated our Series G funding round, successfully raising $1.1 billion USD to accelerate the growth of our product offerings and services to satisfy global AI demand.About the TeamThe Cerebras Inference team is dedicated to delivering the most efficient, secure, and reliable enterprise-grade AI service. We design and manage expansive distributed systems that facilitate AI inference with unparalleled speed and efficiency. Join us in scaling our inference capabilities to new heights!

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.

Join our dynamic team as a Perception Engineering Intern at Bosch Group in Sunnyvale, California! This exciting internship offers you the opportunity to work on cutting-edge projects in the field of perception engineering. You'll collaborate with experienced engineers and contribute to innovative solutions that shape the future of technology.

Join us at Meshy as a Machine Learning Systems Intern, where your passion for AI, graphics, and innovative product development will thrive in a collaborative environment.What We're Looking For:Commit to a full-time internship for a minimum of 12 weeks.Aiming to transition to a full-time role at Meshy post-graduation (ideal candidates graduating between September 2026 and September 2027 are preferred).Open to candidates pursuing undergraduate, master's, or PhD degrees.A solid foundation in technical skills, coupled with a drive for innovation and a willingness to tackle challenges.Your RoleAs a key contributor to our team, you will assist in developing the most extensive end-to-end 3D native machine learning systems. This role encompasses the entire ML framework, from pretraining to fine-tuning and inference. We seek individuals with robust hands-on engineering capabilities, a thirst for knowledge, and the ability to excel in a dynamic, ownership-driven setting.About UsAt Meshy, we envision a world where 3D creation knows no limits. Our mission is to unleash creativity by offering a comprehensive 3D content pipeline, which includes transforming text and images into 3D models, texturing, editing, and animation rigging. We have cultivated a thriving community for creators, providing a platform to share work, draw inspiration, and utilize assets across projects. Recognized as the leader in 3D generative AI (top-ranked in the 2024 A16Z Games survey), our technology is embraced by industry giants like Meta, Square Enix, and Deepmind, impacting sectors like gaming, film, 3D printing, and robotics.Your Next Challenge3D is at the forefront of Generative AI, presenting unique challenges in training and inference. Your journey with Meshy will involve a full stack of AI responsibilities, including debugging and monitoring hardware platforms, creating training frameworks, scaling high-throughput 3D data pipelines, and collaborating on innovative model architectures with our research team.

At Coram AI, we are revolutionizing video security for today's world. Our innovative cloud-native platform leverages advanced computer vision and artificial intelligence to empower businesses to enhance safety, make informed decisions, and improve operational efficiency. From real-time alerts to effortless clip sharing and comprehensive multi-site visibility, we are at the forefront of security technology.As part of our dynamic and agile team, you will find a culture that prioritizes clarity, craftsmanship, and meaningful impact. Every team member contributes their unique voice, delivers significant work, and plays a crucial role in shaping how AI can foster a safer, more connected world.We are seeking a technically adept Engineering Manager to oversee our Platform team. This team is responsible for developing the essential real-time infrastructure that supports distributed edge systems under stringent latency, memory, and reliability constraints.In this hands-on leadership position, you will manage a team of highly skilled engineers focused on low-level systems, high-performance networking, concurrency, and edge computing. While expertise in robotics is not a prerequisite, extensive experience in real-time or low-latency systems, along with a capability to dive deep into technical challenges when necessary, is essential.Your Responsibilities• Collaborate with product and leadership teams to outline the technical roadmap for the Platform team.• Spearhead architectural design for distributed edge systems that operate under strict latency and memory constraints.• Manage and prioritize multiple concurrent projects while addressing production challenges and adapting to evolving customer requirements.• Perform thorough design and code reviews to guarantee high reliability and performance of the systems.• Delve into C++ or low-level system code as needed to resolve critical issues.• Supervise the development of IPC, messaging, and real-time data pipelines.• Establish robust engineering processes focusing on observability, testing, and production stability.• Recruit, mentor, and cultivate a high-performing team of systems engineers.• Promote a culture of ownership, technical excellence, and disciplined execution.Qualifications We Seek• A minimum of several years managing engineers working on complex systems.• Strong foundation in computer science principles, including algorithms, data structures, operating systems, and networking.• A history of being a strong individual contributor earlier in your career.• Extensive experience in building or leading real-time or low-latency distributed systems.

At Coram AI, we are revolutionizing modern video security through our innovative cloud-native platform. Utilizing advanced computer vision and artificial intelligence, our solution empowers businesses to enhance safety, make informed decisions, and operate efficiently, featuring real-time alerts, effortless clip sharing, and comprehensive multi-site visibility.As a member of our dynamic and agile team, you will find an environment that prioritizes clarity, craftsmanship, and impactful contributions. Every voice matters here, and each individual plays a vital role in shaping how AI can foster a safer, more connected world.Your Role:As the Founding Customer Experience Engineer, you will be at the forefront of customer support, managing and resolving inquiries via Intercom and email. You will engage in troubleshooting across devices, networks, and backend systems, providing clear and thorough context to the engineering team when escalation is necessary.Your early success will be measured by your ability to effectively manage multiple active cases, meet service level agreement (SLA) targets, and ensure that no issues are overlooked.In addition to resolving tickets, you will be instrumental in enhancing and automating our support processes by contributing to documentation, workflows, and AI-powered tools. This role has the potential to evolve from operational management to leading the support function as we grow.

About Applied IntuitionApplied Intuition, Inc., established in 2017 and currently valued at $15 billion, is at the forefront of revolutionizing physical AI. Based in Silicon Valley, we are building the digital infrastructure necessary to infuse intelligence into every moving machine globally. We cater to industries such as automotive, defense, trucking, construction, mining, and agriculture through three core offerings: tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the world's top 20 automakers and the U.S. military alongside its allies, our solutions are pivotal in delivering physical intelligence. Our headquarters are 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 are an in-office organization, with the expectation that employees primarily 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, beginning the day with morning meetings from home, or leaving earlier to accommodate family obligations.About the RoleYour Responsibilities at Applied Intuition:Design, develop, and productionize scalable internal tools and AI workflows that facilitate system engineering and validation for autonomous vehicle initiatives.Integrate data across requirements management, modeling, and validation tools to ensure comprehensive traceability from system requirements to test outcomes.Build backend services and APIs to consolidate distributed engineering artifacts into a reliable, cohesive platform.Create dashboards and KPIs to evaluate requirement coverage, trace completeness, and validation progress.Take ownership of and enhance the core traceability data model, enabling bidirectional traceability, versioning, baselining, and change impact analysis.Refactor internal prototypes into production-grade, certifiable systems with robust reliability, access control, and auditability.

Cerebras Systems is at the forefront of AI technology, developing the world’s largest AI chip, which is 56 times larger than conventional GPUs. Our innovative wafer-scale architecture delivers AI compute power equivalent to dozens of GPUs, all integrated onto a single chip. This unparalleled design allows us to achieve industry-leading training and inference speeds, enabling machine learning practitioners to run extensive ML applications seamlessly without the complexities of managing multiple GPUs or TPUs.We proudly serve a diverse clientele, including leading model laboratories, global corporations, and pioneering AI startups. Notably, OpenAI has entered into a multi-year partnership with us to deploy 750 megawatts of our technology, revolutionizing key workloads with ultra-high-speed inference.Our wafer-scale architecture powers the fastest Generative AI inference solution available, boasting speeds over ten times faster than traditional GPU-based hyperscale cloud inference services. This significant increase in speed is set to enhance the user experience of AI applications, allowing for real-time adjustments and improved intelligence through advanced agentic computation.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technologies. Established in 2017 and currently valued at $15 billion, this dynamic Silicon Valley company is pioneering the digital infrastructure necessary to infuse intelligence into every moving machine globally. Applied Intuition serves an array of industries 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 eighteen of the top twenty global automakers, as well as the U.S. military and its allies, to deliver cutting-edge physical intelligence. 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 operate as an in-office company, with an expectation for employees to work from the Applied Intuition office five days a week. However, we value flexibility and trust our employees to responsibly manage their schedules, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About the Role:We are seeking enthusiastic Research Interns to join our Research Group at Applied Intuition. Our mission is to develop groundbreaking technologies that empower next-generation physical AI, focusing on the two most complex applications that are transforming our daily lives: end-to-end autonomous driving and robotic generalists. Our team consists of prominent experts from top institutions and companies, recognized for their outstanding contributions in both academia and industry, including eight prestigious Best Paper awards at leading conferences and journals such as CVPR and ICRA. For more information, visit appliedintuition.com/research.With access to industry-leading tools and infrastructure, our researchers can utilize millions of miles of data from extensive fleets and implement their developed methods into various autonomous and robotic systems, including self-driving vehicles, autonomous mining and construction machinery, humanoid robots, and dexterous hands. Additionally...

At Bee Genius, we are pioneering the future of work today with innovative AI solutions that transform industries.Job Overview: We are looking for a talented AI/Machine Learning Engineer to become a vital part of our dynamic team. In this role, you will leverage your expertise to develop and deploy cutting-edge machine learning models and algorithms aimed at addressing complex business challenges.Key Responsibilities:Design, build, and refine machine learning models and algorithms.Train and assess models using extensive datasets.Optimize models for enhanced performance and accuracy.Collaborate with data scientists and software engineers to integrate models into operational systems.Stay abreast of the latest trends in AI and machine learning technologies.Promote the ethical deployment of AI solutions.