Staff Systems Software Engineer (Future Forward)

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 IntuitionApplied Intuition, Inc. is at the forefront of shaping the future of physical AI. Founded in 2017 and currently valued at $15 billion, this Silicon Valley-based company is pioneering the digital infrastructure necessary to embed intelligence into every moving machine worldwide. We serve the automotive, defense, trucking, construction, mining, and agriculture sectors across three primary domains: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by eighteen of the top twenty global automakers, as well as by the United States military and its allies. 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.As an in-office company, we expect our employees to primarily work from their Applied Intuition office five days a week. However, we understand the importance of flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family commitments.

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.

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.

Cerebras Systems is at the forefront of AI technology, creating the world's largest AI chip that is 56 times the size of traditional GPUs. Our innovative wafer-scale architecture combines the compute power of dozens of GPUs into a single chip, simplifying the programming experience. This unique design enables us to achieve unparalleled training and inference speeds, allowing machine learning practitioners to run extensive ML applications seamlessly without the complexities of managing numerous GPUs or TPUs.Our clientele includes premier model laboratories, multinational corporations, and pioneering AI-driven startups. Notably, OpenAI has recently formed a multi-year collaboration with Cerebras, aiming to harness 750 megawatts of computational scale to revolutionize key workloads through ultra-high-speed inference.Thanks to our cutting-edge wafer-scale architecture, Cerebras Inference delivers the fastest Generative AI inference solution globally, achieving speeds over ten times faster than GPU-based hyperscale cloud inference services, thus transforming the user experience of AI applications and enabling real-time iterations and enhanced intelligence through additional agentic computation.Responsibilities:Lead the design and implementation of advanced system-level debugging, validation, and observability platforms.Develop automated systems for collecting and analyzing numerical data and execution anomalies.Create visualization and analysis tools to facilitate efficient root-cause investigations.Build frameworks for failure classification, regression detection, and anomaly monitoring.Enhance compilers, runtimes, and programming interfaces to support sophisticated profiling and instrumentation.Improve workflows related to system bring-up, low-level debugging, and validation.Collaborate cross-functionally with teams in compiler, hardware, firmware, runtime, and infrastructure domains.Establish best practices to ensure debuggability, reliability, and operational excellence.Lead impactful initiatives and support incident response while driving long-term corrective solutions.

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...

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.

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 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.

At Wayve, we are dedicated to fostering a diverse, equitable, and inclusive culture that values each individual's unique skills and perspectives, irrespective of their sex, race, religion, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, pregnancy, or any other legally protected status.About UsFounded in 2017, Wayve is at the forefront of developing Embodied AI technology. Our cutting-edge AI software and foundation models empower vehicles to perceive, comprehend, and navigate complex environments, enhancing the safety and usability of automated driving systems.Our vision is to create autonomous solutions that move the world forward. Our intelligent, mapless, and hardware-agnostic AI products are tailored for automakers, driving the transition from assisted to fully automated driving. In our dynamic environment, we tackle significant challenges with enthusiasm, embracing complexity to unlock innovative solutions. We strive for excellence while remaining humble, consistently learning and evolving towards a smarter and safer future.At Wayve, your contributions are essential. We cherish diversity, welcome new insights, and promote an inclusive work atmosphere where we support one another to make a meaningful impact.Join Wayve and embark on a career-defining journey!The RoleAs a Software Engineer, you will engage with Wayve’s next-generation compute and sensor platform and contribute to all aspects of the software development lifecycle.As a key member of the Robot Software team, you will collaborate to develop software for edge devices that provide critical data and facilitate autonomy across a large fleet of vehicles. You will have a crucial role in ensuring that the software you develop operates reliably at scale, while also working closely with our Embodied AI and Science teams to provide them with the necessary data and interfaces for model training, experimentation, and performance feedback.

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.

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.

Join Crusoe Energy as a Senior Backend Tooling Software Engineer and play a pivotal role in enhancing our backend systems that support our innovative energy solutions. You will be responsible for designing, implementing, and maintaining scalable backend tooling solutions that cater to our growing infrastructure needs.Your expertise will help us streamline our operations, optimize workflows, and improve performance across our engineering teams. If you are passionate about backend engineering and enjoy tackling complex challenges, we invite you to apply and contribute to our mission of transforming energy use.

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 the Future of AI at Applied IntuitionAt Applied Intuition, we're driving the evolution of physical AI. Established in 2017 and currently valued at an impressive $15 billion, our Silicon Valley-based company is crafting the digital backbone essential for infusing intelligence into every moving machine worldwide. We cater to diverse sectors, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers as well as the U.S. military and its allies to provide unparalleled physical intelligence. Our headquarters is in Sunnyvale, California, with additional offices across the globe including Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Discover more about us at applied.co.We are an in-office company, expecting our employees to primarily work from their Applied Intuition office 5 days a week. However, we value flexibility and trust our employees to manage their schedules responsibly, which may include occasional remote work or adjustments to accommodate family commitments.Meet Our Systems Engineers!Our systems engineers define and shape the complexities of developing safe and reliable autonomous systems, engaging in every stage of the development process from concept to deployment. Hear from our engineers to discover their journey at Applied Intuition and what keeps them motivated.Role OverviewWe are seeking a skilled Systems Engineer with a robust background in robotics and software. This role entails creating and managing system and software requirements for a groundbreaking product at Applied Intuition. You will significantly influence the technical direction of this project, ensuring its success.

Who You AreWe are seeking talented Machine Learning Systems Engineers to contribute to the development of the world's largest end-to-end 3D native machine learning systems. You will collaborate on our comprehensive ML framework tailored for 3D applications, encompassing pretraining, fine-tuning, inference, and more. We value strong hands-on engineering skills, a passion for learning, and an ability to excel in a dynamic, high-responsibility environment.Who We AreAt Meshy, we envision a world where 3D creation is limitless and accessible to all. Our mission is clear: unleash creativity. We have developed a comprehensive pipeline for 3D content that spans text/image to 3D, texturing, texture editing, animation rigging, and beyond. Additionally, we foster a vibrant community for creators to share their work, draw inspiration from others, and utilize our platform as an asset marketplace for their games and prototypes. Recognized as the No.1 in popularity among 3D AI tools (according to the 2024 A16Z Games survey), Meshy delivers real value to enterprises such as Meta, Square Enix, and DeepMind, as well as millions of end-users. Our technology powers game and film production, 3D printing, industrial product design, user-generated content features, and even training simulations for robotics and physical AI.Your Next Challenge3D is the exciting new frontier of Generative AI, and your role at Meshy will present unique challenges in both training and inference. You will engage with the full stack of AI, from debugging and monitoring hardware platforms, building training frameworks, scaling high-throughput 3D data pipelines, collaborating with researchers on novel model architectures, to developing efficient inference engines for diffusion models and more. Here are some specific challenges on the training side:Collaborate closely with researchers to co-design the next frontier of 3D & Spatial AI.Develop and refine modern PyTorch solutions for maximum parallelism and efficiency, establishing a clean and intuitive training infrastructure for our foundational models.Identify bottlenecks and optimize for high throughput & efficient distributed model training across hundreds to thousands of GPUs.Implement and maintain 3D-specific custom operators in Triton or CUDA.Design and uphold novel data-loading frameworks and libraries.

About Our Team:At Taara, a visionary initiative from X, Google's Moonshot Factory, we are dedicated to connecting billions who currently lack reliable and affordable internet access. Our innovative approach harnesses the power of light to provide faster, more cost-effective, and dependable connectivity solutions. Join us in revolutionizing the future of wireless optical communication and photonics chip technology as we strive to bridge the digital divide for communities around the globe.Role Overview:We are in search of a talented Linux System Software Engineer to pioneer the development of the next-generation operating system for wireless broadband networks.The successful candidate will bring extensive experience in building system-level software within a Linux environment, adept in multi-threaded programming, state-machine and event-driven programming, and familiar with network monitoring protocols (such as gRPC, SNMP, OpenTelemetry). Proficiency in integrating with cloud-based back-end systems, along with strong skills in data structures, algorithms, and programming languages including Golang, Python, and C/C++ for development and unit/regression testing will be crucial for this role.Your Impact:Design and implement robust system-level software applications for IoT/network devices.Collaborate with cloud/backend engineers to develop visualization and troubleshooting tools.Stay informed about emerging IoT device trends and technologies.Work closely with engineers and operators to establish telemetry and monitoring solutions.Diagnose and resolve challenges encountered during large-scale field deployments.Qualifications:Bachelor's degree in Computer Science, Computer Networking, Electrical Engineering, or a related discipline.5+ years of experience in application development on Linux-based operating systems, particularly within telecommunications, ISP, or networking sectors.Proficiency in programming languages Golang, Python, and C/C++ for both development and testing.Familiarity with streaming and monitoring protocols and strategies for service provider networks (e.g., gRPC, OpenTelemetry, SNMP).Experience with multi-threaded programming techniques, state-machine design, and event-driven programming.

CoreWeave is The Essential Cloud for AI™. Designed by innovators for innovators, CoreWeave provides a robust platform of advanced technology and exceptional teams, empowering organizations to confidently build and scale AI solutions. As a trusted partner for leading AI labs, startups, and global enterprises, CoreWeave integrates unmatched infrastructure performance with extensive technical expertise, driving innovation and transforming compute capabilities into actionable results. Since its inception in 2017, CoreWeave has rapidly advanced, becoming a publicly traded company (Nasdaq: CRWV) in March 2025. Explore more at www.coreweave.com.What You’ll Do:Description of the TeamThe IT Business Systems (GTM) team at CoreWeave is responsible for the application stack that facilitates the entire customer journey—from lead generation to quoting and cash collection. This team designs and manages systems that underpin a rapidly growing AI cloud business, collaborating closely with Revenue Operations, Marketing Operations, Finance, Billing, and Customer Experience to deliver scalable, compliant, and automated workflows.About the role:As a Senior Salesforce Engineer, you will take on a pivotal role as a hands-on technical leader, tasked with designing, building, and operating Salesforce solutions across Sales Cloud, Revenue Cloud/CPQ, and GTM integrations. You will tackle high-impact projects including post-acquisition system integrations, the implementation of a new usage-based billing platform, and enhancements within quoting, forecasting, and revenue operations. This role demands deep expertise in CPQ workflows while also overseeing broader platform architecture and integrations with finance and GTM systems. You will work cross-functionally with GTM, Finance, and IT leadership to create scalable, dependable solutions that position CoreWeave for continued success.

About the TeamAt Taara, we are dedicated to transforming the world of connectivity. Originating from X, Google's Moonshot Factory, our mission is to bridge the digital divide by delivering high-speed, affordable internet through innovative light-based technologies. Join us in revolutionizing wireless optical communication and photonics chip technologies as we expand our reach globally.About the RoleWe are seeking a Systems Software Test Engineer to spearhead the automation and validation efforts for our comprehensive systems. This role is pivotal, as it involves not just testing APIs, but also architecting frameworks to ensure our software effectively controls high-precision hardware in real-time. You will play a crucial role in connecting software development with hardware reliability, ensuring that each code commit enhances our network's performance in real-world scenarios.Your Impact:Automated Framework Design: Develop and implement scalable automation frameworks to rigorously test embedded software and cloud integrations.Hardware-in-the-Loop Testing: Create and uphold HIL test benches, enabling real-time software interactions with physical hardware units under simulated field conditions.CI/CD Integration: Lead the incorporation of automated tests into the CI/CD pipeline, establishing quality gates for every software build.Comprehensive Data Path Validation: Collaborate with Cloud and Embedded teams to validate the data flow from the physical optical link to the backend monitoring dashboard.Performance Regression Testing: Develop automated regression suites to identify performance regressions impacting network throughput, latency, and stability.