Staff Systems Software Engineer (Future Forward)

At Cerebras Systems, we are pioneering the future of artificial intelligence with the development of the world's largest AI chip, which is an astonishing 56 times larger than traditional GPUs. Our innovative wafer-scale architecture combines the computational power of numerous GPUs into a single chip, simplifying programming and enhancing efficiency. This unique approach enables us to achieve unparalleled training and inference speeds, empowering machine learning practitioners to run extensive ML applications seamlessly, without the complexities of juggling multiple GPUs or TPUs.Our clientele includes leading model labs, global corporations, and groundbreaking AI-focused startups. Notably, OpenAI has recently partnered with Cerebras to harness 750 megawatts of scale, revolutionizing critical workloads with ultra-fast inference capabilities.Thanks to our cutting-edge wafer-scale technology, Cerebras Inference delivers the fastest Generative AI inference solutions available, exceeding GPU-based hyperscale cloud services by over ten times. This significant leap in speed is revolutionizing user interactions with AI applications, facilitating real-time adjustments and enhancing intelligence through advanced computational capabilities.About The RoleAs the security lead for Cerebras's AI cluster product, you will be at the forefront of ensuring the security of our large-scale AI clusters, which consist of hundreds of wafer-scale accelerator systems, thousands of high-performance servers, and numerous networking ports, including switches. This will also involve managing network-attached storage within a vast data center.Your primary responsibility will be to implement security measures based on established best practices and first principles, ensuring the protection of Cerebras's extensive AI clusters. These clusters comprise intricate hardware components, networking systems, and a fully integrated cluster management software stack that ranges from bare-metal deployments to sophisticated management systems that enable multi-tenant training and inference services across these expansive clusters.You will focus on guaranteeing end-to-end security and privacy for various cluster applications, developing security engineering solutions incorporating robust network access controls, user access management, and an exceptional multi-tenancy framework.

Are you an innovative researcher who thrives on transforming concepts into real-world solutions? Are you passionate about tackling the most pressing challenges in distributed systems, including AI at the edge, cybersecurity, and software-defined networking for autonomous machines? If you envision yourself at the crossroads of product development and cutting-edge technology, this position is perfect for you! Joining our elite research team, recognized among the top 1% nationally for research commercialization success, you will take on the role of Distributed Systems Research Engineer. Your work will not languish in the lab; instead, you will be pivotal in enhancing our standing as the leader in software infrastructure, contributing to advancements in autonomous vehicles, medical robotics, and smart power systems. Engage in groundbreaking research within distributed systems, leveraging a robust, data-centric approach while addressing some of the most complex challenges from communication to decision-making in intelligent machines.

CoreWeave is the essential cloud for AI™, designed by pioneers for pioneers. We provide a powerful platform filled with technology, tools, and dedicated teams that empower innovators to build and scale AI solutions confidently. Trusted by top AI laboratories, startups, and global enterprises, our infrastructure delivers unparalleled performance combined with profound technical expertise to accelerate breakthroughs in AI. Since our inception in 2017, we have expanded our data center footprint across the United States and Europe, earning recognition as one of the TIME100 most influential companies in 2024.At CoreWeave, we thrive in a fast-paced and adaptive environment where resilience is key. Our culture fosters career-defining opportunities for those who excel in the face of change and challenges. If you are someone who enjoys tackling complex problems and is eager to make a substantial impact in the industry, we invite you to join our team and help solve some of the most exciting challenges in AI.CoreWeave is committed to powering the creation and delivery of intelligence that drives innovation.

About the Institute of Foundation ModelsThe Institute of Foundation Models (IFM) specializes in designing and operating large-scale GPU supercomputing systems aimed at training cutting-edge foundation models. Our philosophy places emphasis on the interdependence of performance, fault tolerance, and scalability across various components, including model architecture, communication systems, runtime, and hardware topology.This position is pivotal to our mission — enhancing communication performance, distributed reliability, and cross-layer optimization for extensive training workloads.The MissionWe seek a highly skilled engineer to collaboratively design and optimize the communication stack for large-scale distributed training, with a focus on hybrid parallelism and Mixture-of-Experts (MoE) workloads. This is a systems-level engineering role centered on performance enhancement, distributed debugging, and communication-runtime co-design.· Design and optimize expert-parallel and hybrid-parallel communication patterns· Drive high-performance hierarchical collectives for MoE workloads· Co-design runtime orchestration with communication topology awareness· Mitigate tail latency and enhance determinism across thousands of GPUs· Architect fault-tolerant distributed execution that withstands real-world cluster failuresCore Technical Scope· Communication-compute overlap and topology-aware collective optimization· In-depth debugging of NCCL, RDMA, and custom communication layers· Implementing hybrid expert parallel strategies in modern large-scale MoE systems· Developing elastic and resilient distributed job orchestration concepts· Conducting congestion analysis and routing optimization across InfiniBand/RoCE fabrics· Executing microbenchmarking and performance modeling for communication-intensive workloadsExpected Technical Depth· Expertise in hybrid expert parallel communication strategies

Cerebras Systems is at the forefront of AI technology, developing the largest AI chip in the world, which is 56 times the size of traditional GPUs. Our innovative wafer-scale architecture delivers the AI compute power equivalent to dozens of GPUs on a single chip, while maintaining the simplicity of programming a single device. This unique technology enables Cerebras to provide unparalleled training and inference speeds, allowing machine learning professionals to seamlessly execute large-scale ML applications without the complexity of managing numerous GPUs or TPUs. Our clientele includes leading model laboratories, multinational corporations, and pioneering AI-driven startups. Notably, OpenAI has recently partnered with Cerebras to leverage 750 megawatts of scale, revolutionizing critical workloads with ultra-fast inference capabilities. Thanks to our groundbreaking wafer-scale technology, Cerebras Inference offers the fastest Generative AI inference solution globally, outperforming GPU-based hyperscale cloud inference services by more than tenfold. This significant increase in speed enhances the user experience for AI applications, enabling real-time iterations and amplifying intelligence through enhanced computational capabilities.About The RoleIn this role as a Frontend Engineer on our AI cloud platform, you will be instrumental in developing our customer-facing inference, training, and administrative consoles as well as API experiences. You will design and implement responsive, user-friendly frontend interfaces that ensure an optimal experience for developers, efficiently managing high traffic and throughput.Your expertise in the latest web development frameworks and best practices, along with a strong focus on design and user experience, will be key to our team's success.

About the RoleCoreWeave operates some of the largest GPU clusters globally. The AI infrastructure behind these clusters plays a crucial role in determining workload placement, resource sharing, and system reliability under continuous pressure.As a Principal Engineer specializing in AI Infrastructure, you will spearhead the design and enhancement of cluster orchestration systems, including Slurm, Kubernetes, SUNK, and the control planes that facilitate AI training, inference, and model onboarding at scale.Your responsibilities will include defining long-term architecture, addressing complex scaling challenges, and establishing technical direction across various teams. Your contributions will significantly impact the speed at which customers can deploy models, the efficiency of GPU utilization, and the overall reliability of the platform at scale.

Are you an innovative researcher with a passion for transforming theoretical concepts into practical applications? Do you excel in tackling complex challenges within distributed systems, such as artificial intelligence at the edge, cybersecurity, and software-defined networking for autonomous machines? If you're a visionary thinker eager to collaborate at the crossroads of product development and cutting-edge technology, this opportunity is perfect for you! As a principal member of our distinguished research team, celebrated for its remarkable success in research commercialization, you'll play a pivotal role in ensuring our software infrastructure remains at the forefront of the industry. Your research will not just stay confined to the lab; rather, you will spearhead initiatives that will propel advancements in autonomous vehicles, medical robotics, and intelligent power systems. Engage in groundbreaking research on distributed systems that builds on a solid, data-driven foundation while tackling the most challenging problems across the technology stack—from communication protocols for intelligent machines to their decision-making processes in real-world scenarios.

Cerebras Systems is at the forefront of AI technology, manufacturing the world’s largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture delivers the AI computing power comparable to dozens of GPUs on a single chip, while maintaining the programming simplicity of a single device. This groundbreaking approach enables Cerebras to achieve unmatched training and inference speeds, allowing machine learning professionals to seamlessly deploy large-scale ML applications without the complexities of managing multiple GPUs or TPUs. Cerebras’ impressive client roster includes leading model labs, major global enterprises, and pioneering AI-driven startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aimed at harnessing 750 megawatts of scale to revolutionize key workloads through ultra high-speed inference. Leveraging our cutting-edge wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution globally, boasting speeds over 10 times faster than GPU-based hyperscale cloud inference services. This dramatic increase in speed is transforming the user experience for AI applications, facilitating real-time iteration and enhancing intelligence through advanced agentic computation. The Role Join our Embedded Software team to contribute to the critical software framework that empowers the Cerebras Wafer Scale technology. You will work on innovative projects that push the boundaries of AI and embedded systems development, collaborating with a talented group of engineers focused on delivering exceptional performance for our clients.

Join Wayve, a pioneering company at the forefront of robotic software development, as a Software Engineer specializing in System Performance. In this role, you will be instrumental in optimizing our advanced robotic systems to enhance their efficiency and reliability. Collaborate with a talented team to push the boundaries of what is possible in the field of robotics.

Onwards Together!Illumio stands at the forefront of ransomware and breach containment, revolutionizing how organizations manage cyber threats and establish operational resilience. Our innovative breach containment platform, powered by the Illumio AI Security Graph, effectively identifies and mitigates risks across hybrid multi-cloud environments, halting the escalation of attacks before they escalate into critical incidents.As a recognized leader in the Forrester Wave™ for Microsegmentation, we empower businesses to adopt a Zero Trust framework, enhancing their cyber resilience across infrastructures and systems that are vital to global operations.Work Environment:This position requires on-site presence five days a week at our Sunnyvale, CA headquarters.Our Team's Vision:Our engineering team embodies a culture fueled by visionary leadership, autonomy, and ownership, fostering a collaborative synergy that propels us forward in the dynamic field of cybersecurity.As a member of our team, you will contribute to the leader in Zero Trust Segmentation, working with a cutting-edge technology stack that encompasses operating systems, distributed applications, and advanced UI/visualization tools.Together, we are shaping the future of cybersecurity and developing world-class products, driven by diverse perspectives and a shared commitment to innovation during unprecedented times of cyber threats.Your Impact:Develop containerized microservices for a distributed, multi-tenant system that processes data, real-time events, and network telemetry from various public clouds to provide customers with actionable insights, visibility, and security recommendations to minimize cloud risks.Design your services, meticulously detail your architecture, advocate for your design decisions among peers, and deliver robust implementations.Mentor junior engineers, new graduates, and interns, fostering their development into productive team members.Primarily write code in Go and engage with data pipelines utilizing SQL or similar interfaces, leveraging Kubernetes for service infrastructure. We welcome candidates with diverse programming backgrounds and a strong desire to learn.Take ownership of key features and subsystems, managing the complete software development lifecycle from requirement clarification to successful deployment and utilization by customers.

Join Illumio as a Senior Software Engineer specializing in Cloud Security, where you will play a pivotal role in shaping our security solutions. In this position, you will leverage your expertise in designing and implementing robust cloud security frameworks, ensuring the integrity and confidentiality of our clients' data. You will work collaboratively with cross-functional teams to innovate and enhance our security products, addressing the evolving landscape of cyber threats.

Cerebras Systems has revolutionized the AI landscape by developing the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture allows for the unparalleled AI computational power equivalent to dozens of GPUs on a single chip, while maintaining the programming simplicity of a single device. This unique approach enables us to deliver exceptional training and inference speeds, empowering machine learning practitioners to efficiently execute large-scale ML applications without the complexity of managing numerous GPUs or TPUs.Our esteemed clientele includes leading model laboratories, major global enterprises, and pioneering AI-focused startups. Recently, OpenAI announced a multi-year partnership with Cerebras, aimed at deploying 750 megawatts of scale and transforming critical workloads with ultra-high-speed inference.With our groundbreaking wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, boasting speeds over ten times faster than GPU-based hyperscale cloud inference services. This monumental leap in speed significantly enhances the user experience of AI applications, facilitating real-time iteration and amplifying intelligence through advanced computation capabilities.Role Overview As a Software Automation Engineer at Cerebras Systems, you will be instrumental in designing and implementing innovative software solutions that enhance operational efficiency and streamline business processes. Your responsibilities will include developing automation frameworks, tools, and applications aimed at reducing manual tasks, boosting system reliability, and fostering scalable growth across the organization. In this position, you will work collaboratively with cross-functional teams—including engineers, analysts, and business stakeholders—to identify workflow challenges and explore opportunities for automation. Your contributions may involve building advanced process automation systems, developing real-time monitoring and alerting functionalities, integrating disparate systems, and crafting data-driven solutions to optimize overall performance. Your efforts will be pivotal in eliminating bottlenecks, lowering operational costs, and enabling teams to focus on innovative projects.

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.

About Applied IntuitionFounded in 2017, Applied Intuition, Inc. is at the forefront of revolutionizing physical AI. With a valuation of $15 billion, this Silicon Valley powerhouse is dedicated to constructing the digital backbone required to infuse intelligence into every moving machine globally. We serve a diverse range of industries including automotive, defense, trucking, construction, mining, and agriculture through three pivotal domains: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by eighteen of the top twenty global automakers and the United States military alongside its allies. 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 uphold a culture of in-office collaboration, expecting our employees to primarily work from our Applied Intuition offices five days a week. That said, we embrace flexibility, empowering our staff to responsibly manage their schedules, which may include occasional remote work or adjusting hours for family commitments.About the RoleJoin our NextGen OS team, where we are committed to developing Applied Intuition's operating system (OS) stack for future vehicles and innovative products. This is a singular opportunity to contribute to the creation and advancement of a next-generation full-stack operating system.As a Software Engineer on this team, you will be responsible for designing, developing, and implementing fundamental OS components such as the kernel, system services, runtime, application frameworks, BSPs, and hardware abstraction layers. As one of the first hires, your contributions will play a crucial role in shaping both architectural and implementation decisions, directly influencing the future of our OS.Your Responsibilities at Applied Intuition:Define the overall architecture and roadmap of the operating system.Collaborate closely with existing open-source projects, become a committer, and submit RFCs.Write and review critical, performance-oriented code across core OS components.Lead...

LinkedIn Corporation seeks a Staff Software Engineer specializing in Network Security and Automation for its Sunnyvale office. This role centers on improving network security and automating workflows to help keep systems secure and reliable. Key Responsibilities Develop and maintain network security protocols throughout LinkedIn's infrastructure. Automate important operational processes to support system reliability and efficiency. Apply technical knowledge to safeguard infrastructure and drive continuous improvements. Location This position is based in Sunnyvale.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of transforming physical AI. Since our inception in 2017, we have reached a valuation of $15 billion, establishing ourselves in Silicon Valley as a leader in developing the digital infrastructure required to infuse intelligence into every moving machine globally. We cater to various industries including automotive, defense, trucking, construction, mining, and agriculture through our three primary areas: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the world's top 20 automakers, as well as the United States military and its allies, ensuring the delivery of physical intelligence. We are headquartered 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 primarily in-office, expecting employees to work from the Applied Intuition office five days a week. However, we value flexibility and trust our team to manage their schedules responsibly. This may involve occasional remote work, beginning the day with morning meetings from home before heading into the office, or leaving early for family commitments.About the RoleWe are on the lookout for a dynamic Corporate Security Engineer to spearhead our efforts in safeguarding our personnel, endpoints, networks, collaboration platforms, and enterprise data. You will collaborate closely with the IT Infrastructure, Detection & Response, and GRC teams to ensure that our security measures are effective, scalable, and aligned with our business objectives. In this position, you will define the strategic roadmap, make architectural decisions, and represent Corporate Security throughout the organization.Key Responsibilities:Define the value proposition and service model for corporate security capabilities, encompassing network hardening, monitoring, infrastructure hardening, and data security posture.Oversee and optimize email security platforms to guard against phishing, malware, business email compromise, and advanced threats.

Join Us in Making the Digital World Safer!At Illumio, we stand at the forefront of ransomware and breach containment, transforming how organizations manage cyber threats while ensuring operational resilience. Our cutting-edge breach containment platform, powered by the Illumio AI Security Graph, is designed to identify and neutralize threats across diverse hybrid multi-cloud environments, effectively halting the escalation of attacks before they can cause significant harm.As a recognized leader in the Forrester Wave™ for Microsegmentation, Illumio empowers organizations to adopt a Zero Trust approach, enhancing cyber resilience for the infrastructure, systems, and entities that underpin the global economy.Location: 5 Days On-Site at Our Sunnyvale, CA Headquarters.Our Vision:Our Engineering team thrives on a culture of thought leadership, independence, and accountability. This dynamic empowers us to enhance digital safety collaboratively. Those who join our ranks will lead the charge in Zero Trust Segmentation, working with a technology stack that spans operating systems, distributed applications, UI, and visualization. Together, we will forge world-class products, driven by a diverse array of perspectives and a steadfast commitment to innovation amidst unprecedented cybersecurity challenges.Your Role:You will engineer containerized (micro) services for a distributed multi-tenant system, processing data, real-time events, and network telemetry from multiple public clouds to deliver insights, visibility, and security recommendations that help customers mitigate risks in the cloud.You will be responsible for designing services, meticulously detailing the architecture, defending your proposals before your peers, and delivering robust implementations.You will also play a key role in mentoring junior engineers, recent graduates, and interns, fostering their growth and productivity within the team.Your primary coding language will be Go, and you will work with data pipelines utilizing SQL or other interfaces. We embrace individuals with diverse language and technology backgrounds who are eager to learn.You will own significant features and subsystems, managing the entire software development lifecycle from requirements clarification to successful deployment and user engagement.You will engage with the operational aspects of the system, confronting the challenges of managing a complex system in real-time.

Primary Function of PositionAs a Senior Software Engineer specializing in Product Security, you will play a pivotal role in bolstering Intuitive's Product Cybersecurity organization. Your efforts will enhance the security posture of our products, infrastructure, and services throughout their lifecycle. This position requires you to design and implement innovative security features and mitigations while supporting the deployment of infrastructure, with a key focus on manufacturing and supply chain security. You will collaborate with various teams and product groups to ensure that our products are of the highest quality and comply with regulatory and organizational standards in a dynamic environment.Essential Job DutiesDesign, develop, and implement robust product security features, mitigations, and tools.Respond to infrastructure-related escalations, diagnose issues, and deploy effective solutions.Conduct comprehensive security reviews, including architecture reviews, code reviews, and vulnerability assessments.Develop and maintain comprehensive security policies, processes, procedures, and documentation such as requirements, test reports, risk analyses, and standard operating procedures.Collaborate with cross-functional teams and third-party vendors to address security concerns and ensure compliance with relevant security laws and regulations.Drive continuous improvement of security processes, policies, and risk mitigation strategies.Prepare and deliver real-time security status updates and reports to key stakeholders.Stay informed on evolving security threats, technologies, and best practices through both formal and self-directed learning.

Join LinkedIn as a Principal Staff Software Engineer specializing in Systems and Infrastructure. We are looking for a visionary leader who can drive the architecture and development of our core systems, ensuring scalability and efficiency. You will collaborate with cross-functional teams to innovate and enhance our infrastructure, making a significant impact on our global user base.