Research Scientist - Reinforcement Learning & Robotics

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 dedicated to developing the essential digital infrastructure that will empower intelligent operations in every vehicle and machine worldwide. Our innovative soluti…

We are seeking a dynamic and experienced Manager of Wi-Fi Performance and Simulation to join our team at dstaff. In this pivotal role, you will be responsible for leading our Wi-Fi performance and simulation initiatives, ensuring optimal network performance and customer satisfaction.

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 CeribellCeribell is a pioneering medical technology company dedicated to revolutionizing the diagnosis and management of patients suffering from severe neurological disorders. Our flagship product, the Ceribell System, is an innovative point-of-care electroencephalography (EEG) platform designed to meet the critical needs of patients in acute care settings. Our technology is currently utilized in numerous community hospitals, large academic institutions, and major integrated delivery networks across the nation. Our team shares a collective mission to enhance the critical care landscape through rapid seizure detection technology—join us in this transformative journey!Position Overview:We are seeking a skilled Data Scientist/Algorithm Engineer with a passion for biomedical applications, possessing a robust background in machine learning, pattern recognition, signal processing, and time-series analysis. The successful candidate will become a vital member of our data science team, tasked with the design and development of cutting-edge classification algorithms that will elevate EEG neurodiagnostics.Key Responsibilities:Utilize time-series analysis, statistical signal processing, and machine learning techniques to develop classification algorithms for various neurological conditions.Analyze datasets to identify trends and patterns, interpreting findings with a clear objective.Collaborate with clinical and business stakeholders to define project requirements and effectively communicate the results of the models and analytical solutions developed.Select and apply suitable evaluation metrics to assess algorithm and model performance, ensuring both technical accuracy and clinical significance.Document and validate models while performing statistical analyses to comply with regulatory standards for medical device algorithms.Mentor and guide junior data scientists and interns, fostering their professional development through technical direction and support.Independently manage multiple projects, prioritizing tasks effectively and aligning deliverables with key milestones to ensure timely, successful outcomes.Stay abreast of the latest advancements in machine learning and neurodiagnostics to maintain state-of-the-art algorithms.

Join Wayve Technologies as a Staff Machine Learning Performance Engineer, specializing in Training Efficiency. In this pivotal role, you will be responsible for enhancing the performance of our machine learning models and algorithms, ensuring they operate at peak efficiency. You will collaborate with cross-functional teams to develop innovative solutions that improve training processes, optimize model performance, and drive impactful results in autonomous vehicle technology.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI technology. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is constructing the digital framework essential for embedding intelligence in every moving machine globally. We cater to a diverse range of industries including automotive, defense, trucking, construction, mining, and agriculture, focusing on three primary domains: tools and infrastructure, operating systems, and autonomy. Our solutions are trusted by 18 of the top 20 global automakers, along with the United States military and its allies, to deliver unparalleled 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 value in-office collaboration, expecting our employees to primarily work from their Applied Intuition office five days a week. However, we also appreciate the importance of flexibility, allowing team members to responsibly manage their schedules. This may include occasional remote work, starting the day with morning meetings from home, or leaving early for family commitments.About the RoleWe are on the lookout for a Senior Sensor Rendering Software Engineer with robust expertise in modern real-time rendering systems, neural graphics (such as 3D Gaussian-based representations), and high-performance multi-threaded C++/CUDA pipelines. This pivotal role bridges classical graphics engines and neural rendering systems, emphasizing the optimization of performance across CPU and GPU for extensive real-time simulation tasks. At Applied Intuition, engineers are encouraged to take ownership of technically intricate systems, make architectural decisions, collaborate closely with internal and external stakeholders, and contribute to the evolution of both the product and our engineering culture.What You'll Do at Applied Intuition:Lead comprehensive initiatives to enhance runtime performance and scalability of the rendering and neural simulation stack across various products and sensor modalities.Design and optimize multi-threaded C++ systems for scene management, scheduling, and more.

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

About Applied IntuitionApplied Intuition, Inc. is at the forefront of advancing physical AI 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.

Join Our Innovative Team at the Institute of Foundation ModelsAt IFM, we are pioneers in developing, understanding, and managing foundation models. Our mission is to advance research, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-driven economy. As a member of our esteemed team, you will engage in the forefront of cutting-edge foundation model training, collaborating with top-tier researchers, data scientists, and engineers. Together, we will address the most significant and impactful challenges in AI development. You will play a crucial role in creating revolutionary AI solutions that have the potential to transform entire industries. Your strategic and innovative problem-solving abilities will be essential in establishing MBZUAI as a global leader in high-performance computing for deep learning, facilitating discoveries that will inspire future AI pioneers. The Role IFM is developing the foundational compute infrastructure that will drive future breakthroughs in AI and computational science. We are seeking a High Performance Computing Software Engineer to collaborate in designing, developing, and operating the software systems that manage our extensive AI workloads. In this position, you will work at the crossroads of high-performance computing and machine learning. You will be part of a dedicated team focused on creating the software stack that supports the training of advanced ML models using over 1000 GPUs, while ensuring our infrastructure remains robust, efficient, and user-friendly.

Role Overview Applied Intuition is hiring a Solutions Architect focused on Modeling & Simulation for Defense. This position is based in Sunnyvale, California. What You Will Do Design and implement simulation solutions that support defense operations. Work closely with teams across disciplines to define system specifications. Help integrate advanced technologies into defense simulation environments.

Cerebras Systems is at the forefront of AI technology, creating the world’s largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture combines the computational power of dozens of GPUs into a single chip while simplifying programming to the level of a single device. This unique approach enables Cerebras to offer unmatched training and inference speeds, allowing machine learning practitioners to seamlessly execute large-scale ML applications without the complexity of managing numerous GPUs or TPUs. Cerebras’ clientele includes prestigious model labs, global enterprises, and pioneering AI-native startups. OpenAI has recently forged a multi-year partnership with Cerebras, aiming to deploy 750 megawatts of scale and revolutionizing critical workloads through ultra-fast inference. Our groundbreaking wafer-scale architecture powers Cerebras Inference, which provides the fastest Generative AI inference solution available—over 10 times quicker than GPU-based hyperscale cloud inference services. This significant increase in speed is transforming the user experience of AI applications, enabling real-time iteration and enhancing intelligence through additional agentic computation.About the RoleWe are looking for a dynamic and skilled engineer to join our cutting-edge Training Platform team. This team is dedicated to swiftly deploying state-of-the-art open-source models (such as LLaMA, Qwen, etc.) and customer-specific proprietary models on our Cerebras CSX systems. To excel in this position, you should be a system-minded generalist who thrives in fast-paced environments and is comfortable working across the entire Cerebras software stack.Your contributions will be vital in achieving extraordinary levels of performance, efficiency, and scalability for AI applications.

Join our dynamic team as a Senior Site Reliability Engineer focused on AI/ML solutions. In this role, you will leverage your expertise to enhance the reliability, scalability, and performance of our cutting-edge AI-driven products. You will work collaboratively with cross-functional teams to design, implement, and maintain robust systems that support our mission to revolutionize surgical technology.

Join DoorDash's mission to revolutionize the way consumers connect with millions of merchants through our cutting-edge search platform. Our team is dedicated to building a robust, scalable, and high-performance system that enables seamless search indexing, retrieval, and ranking of billions of items. As part of the Core Consumer organization, you will play a pivotal role in enhancing the search experience across iOS, Android, and Web platforms. Collaborate with a team of talented engineers to explore innovative solutions in machine learning and improve search relevance, helping customers easily find what they want as we expand into new verticals like Grocery.

Join Cerebras Systems as an Engineering Manager specializing in Inference ML Runtime, where you will lead a dedicated team in developing groundbreaking machine learning solutions. Your expertise will guide the design and implementation of our inference runtime, ensuring efficiency and performance at scale.As a pivotal leader in our innovative environment, you will collaborate with cross-functional teams, driving the development of state-of-the-art algorithms and systems that push the boundaries of artificial intelligence.

Join Our Team as an Embedded AI Engineer at Applied Intuition!At Applied Intuition, we're at the forefront of advancing physical AI technology. Founded in 2017, our Silicon Valley-based company, valued at $15 billion, is developing the essential digital infrastructure to infuse intelligence into every moving machine worldwide. Our solutions serve diverse industries including automotive, defense, trucking, construction, mining, and agriculture across three main areas: tools and infrastructure, operating systems, and autonomy. Trusted by eighteen of the top twenty global automakers, as well as the United States military and allies, we are committed to delivering groundbreaking physical intelligence solutions. 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 work from the Applied Intuition office five days a week. However, we value flexibility and trust our employees to manage their schedules responsibly. This might include occasional remote work, starting the day with morning meetings from home, or leaving early to accommodate family commitments.About the RoleWe are developing cutting-edge on-device intelligence for a next-generation Android Automotive platform. In this role, you will oversee the complete lifecycle of embedded machine learning systems, ensuring that models operate reliably and safely in production environments while managing real-world constraints such as latency, thermal limits, and functional safety.Your ResponsibilitiesDeploy and manage production-quality ML inference and learning systems on Android Automotive (AAOS).Implement on-device multimodal large language models (LLMs), including schema design and safe integration with local vehicle APIs.Integrate models using frameworks like TensorFlow Lite, ONNX Runtime, or specialized vendor SDKs.Profile and optimize models to meet strict requirements for latency, memory usage, power consumption, and thermal management.

About Applied IntuitionApplied Intuition, Inc. is at the forefront of physical AI innovation. Established in 2017 and currently valued at $15 billion, this Silicon Valley powerhouse is dedicated to developing the digital infrastructure essential for infusing intelligence into every moving machine worldwide. Our solutions empower industries including automotive, defense, trucking, construction, mining, and agriculture across three key domains: tools and infrastructure, operating systems, and autonomy. Trusted by 18 of the top 20 global automakers, as well as the U.S. military and its allies, Applied Intuition is 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.As an in-office company, we expect our employees to work from the 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 earlier for family commitments.About the RoleAt Applied Intuition, we are pioneering advancements in autonomy and vehicle intelligence through cutting-edge AI research. In this exciting position, you will contribute to this initiative by developing machine learning tools, managing extensive datasets, and tackling challenges across the complete end-to-end (E2E) autonomy stack. Collaborate with our research and production teams to create the future of self-driving vehicles. We encourage our engineers to take ownership of technical and product decisions, actively engage with both internal and external users for feedback, and foster a collaborative, innovative team culture.Your Responsibilities Will Include:Developing tools and infrastructure to support large-scale E2E autonomy research led by Dr. Wei Zhan.Collaborating directly with AI research and development teams.

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

At 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.

Join Cerebras Systems as an R&D Engineer specializing in Advanced Technology, focusing on Artificial Intelligence (AI) and Machine Learning (ML) within High-Performance Computing (HPC). In this pivotal role, you will contribute to cutting-edge projects that drive innovation in AI and ML technologies.As part of our dynamic team, you will collaborate with top-tier engineers and researchers to develop revolutionary solutions that enhance computing capabilities. Your expertise will be instrumental in shaping the future of AI and HPC technologies.

About the Institute of Foundation ModelsWe are a pioneering research laboratory dedicated to the exploration, development, and responsible management of foundation models. Our mission is to propel research forward, cultivate the next wave of AI innovators, and foster transformative advancements in a knowledge-driven economy.Joining our team means engaging in groundbreaking foundation model training alongside leading researchers, data scientists, and engineers. You will confront significant challenges in AI development, working on innovative solutions that have the power to revolutionize entire industries. Your strategic and innovative problem-solving abilities will be vital in establishing MBZUAI as a premier global center for high-performance computing in deep learning, driving discoveries that inspire future AI trailblazers.The RoleAs a Research Scientist with a focus on Computer Vision, you will play a pivotal role in advancing state-of-the-art computer vision technologies and enhancing intelligent systems. Your responsibilities will include researching, developing, and implementing Computer Vision solutions, with particular emphasis on Python programming, machine learning techniques, and deep learning methodologies.