Senior Research Scientist - Autonomous Systems End-to-End Planning

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-…

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.

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.

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

About the Institute of Foundation ModelsWe are a pioneering research lab focused on the development, understanding, application, and risk management of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and make significant contributions to a knowledge-driven economy.Join our dynamic team and engage in the heart of innovative foundation model training, collaborating with top-tier researchers, data scientists, and engineers. Tackle groundbreaking challenges in AI development and contribute to transformative AI solutions that have the potential to revolutionize industries. Your strategic and innovative problem-solving skills will be vital in establishing MBZUAI as a global center for high-performance computing in deep learning, enabling impactful discoveries that inspire the future of AI innovation.Role OverviewDevelop and Enhance Distributed Pre-Training Frameworks· Implement DeepSpeed / FSDP / Megatron-LM on multi-node GPU clusters.· Design robust launch scripts, resilient checkpoints, and job monitoring systems (e.g., NCCL/GLOO/GPU).Transform Mathematical Concepts into High-Performance Production Code· Prototype novel optimizers or attention mechanisms using PyTorch/NumPy/JAX or similar frameworks.· Convert prototypes into efficient CUDA/Triton kernels with custom gradients and performance tests.Enhance Training Efficiency and Stability· Lead efforts in mixed-precision training, integrating bf16, fp8, etc., into regular workflows while assessing accuracy versus speed improvements and analyzing numerical stability.· Utilize kernel fusion, communication tuning, and memory optimization to achieve state-of-the-art throughput.Accelerate Research Progress· Develop logging and metrics systems, along with experiment-tracking tools, to facilitate rapid iteration.· Design ablation studies and statistical tests that validate or challenge new concepts.· Guide interns and junior engineers through clear asynchronous design documentation and code reviews.You will collaborate closely with researchers, deliver production code, and shape the landscape of large language models.

Role Overview Bosch Group is seeking a Research Engineer focused on End-to-End Autonomous Systems in Sunnyvale. This position centers on advancing the technology behind autonomous vehicles, with a strong emphasis on both research and practical implementation. What You Will Do Develop and implement advanced algorithms for autonomous systems Design system architectures that improve autonomous vehicle performance Contribute technical expertise to projects shaping the future of autonomous mobility Location This role is based in Sunnyvale.

About the Institute of Foundation ModelsWe are an innovative research laboratory focused on the creation, comprehension, application, and risk management of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy.Joining our team presents a unique opportunity to engage in the core of advanced foundation model training, collaborating with leading researchers, data scientists, and engineers as we address the most pivotal and influential challenges in AI advancement. Your work will involve the creation of groundbreaking AI solutions with the potential to revolutionize entire industries. Employing strategic and innovative problem-solving skills will be crucial in establishing MBZUAI as a premier global center for high-performance computing in deep learning, fostering remarkable discoveries that inspire future AI trailblazers.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and now valued at a remarkable $15 billion, our Silicon Valley-based company is dedicated to developing the digital infrastructure necessary to infuse intelligence into every moving machine across the globe. We cater to various 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 and the United States military along with its allies. Our headquarters is 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 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, or leaving early for family commitments.About the Role and TeamWe are seeking multiple enthusiastic Research Engineers to join our Research Group at Applied Intuition. The group's mission is to pioneer innovative technology that supports the next generation of physical AI, focusing particularly on the transformative applications of end-to-end autonomous driving and robotic generalist solutions. Our team comprises leading experts from top institutions and organizations, recognized for their outstanding academic and industry contributions, including eight Best Paper awards at prestigious conferences and journals such as CVPR and ICRA. To learn more, 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 cars and trucks.

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.

Join LTA Research and Exploration, an innovative aerospace start-up, as a Senior Software Engineer. In this role, you'll collaborate with a dynamic engineering and design team dedicated to creating groundbreaking ‘lighter than air’ flight vehicles. Your responsibilities will encompass the entire development cycle—planning, conceptualizing, prototyping, testing, and implementing cutting-edge solutions for the design, fabrication, and assembly of large experimental flight vehicles. At LTA, we thrive on fast-cycle development, embodying the philosophy of 'build a little, test a little, learn a lot.' This unique position grants you hands-on leadership throughout all phases of development, from conception to the flight of experimental aerospace vehicles. We are looking for a high-energy, passionate Senior Software Engineer to enhance the software for safety-critical systems and to actively test and validate rapidly developed software on our Airship.

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...

Join our innovative team as a Staff Systems Software Engineer at Intuitive Surgical, where we are at the forefront of transforming surgical experiences. In this role, you will leverage your expertise to design, develop, and refine cutting-edge software solutions that enhance robotic-assisted surgeries. Your contributions will directly impact patient outcomes and the overall quality of care.

Join our dynamic team at intuitive as a Systems Engineer in the Research and Development division. In this pivotal role, you will engage in the design and implementation of innovative systems that enhance our product offerings. Collaborate with cross-functional teams to drive technological advancements and deliver cutting-edge solutions.

Join intuitive as a Senior Systems Research Engineer, where you will play a pivotal role in advancing the fields of embodied AI and robotics. You will be responsible for designing and implementing innovative systems that integrate AI with robotic applications, contributing to groundbreaking projects that push the boundaries of technology.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing the future of physical AI. Established in 2017 and currently valued at $15 billion, this Silicon Valley-based company is developing the digital infrastructure essential for instilling intelligence into every moving machine globally. Applied Intuition provides innovative solutions to a spectrum of industries, including automotive, defense, trucking, construction, mining, and agriculture, focusing on tools and infrastructure, operating systems, and autonomy. Renowned by eighteen of the top twenty global automakers, as well as the U.S. military and its allies, our solutions are trusted to deliver unparalleled physical intelligence. Our headquarters is located in Sunnyvale, California, with additional offices spread across 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 adopt an in-office culture, expecting 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, which may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About the Role and TeamWe are seeking multiple enthusiastic Research Scientists to join our dynamic Research Group at Applied Intuition. Our mission is to innovate groundbreaking technologies that empower the next generation of physical AI, focusing on two pivotal applications that are transforming our daily lives: end-to-end autonomous driving and robotic general intelligence. Our team is composed of leading experts from prestigious institutions and companies, recognized for their outstanding contributions to academia and industry, including eight Best Paper awards from leading conferences and journals such as CVPR and ICRA. To learn more, visit appliedintuition.com/research.Backed by industry-leading tools and infrastructure, researchers have access to extensive datasets derived from large fleets and can deploy their developed methods across diverse autonomous and robotic systems, including self-driving cars and trucks.

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.