High Performance Compute Engineer

Join Squarepoint Capital as a Quantitative Developer specializing in High Performance Computing with expertise in Python. In this pivotal role, you will contribute to the development and optimization of advanced quantitative models, leveraging your technical skills to enhance performance in a fast-paced environment. Your work will directly influence trading …

Join our dynamic Engineering team as a High-Performance Computing (HPC) Engineer. In this pivotal role, you will be responsible for designing, implementing, optimizing, and providing support for high-performance computing solutions that meet the diverse needs of our customers. We are looking for a candidate with robust technical expertise in HPC architectures, parallel computing, and cluster management, along with a strong enthusiasm for leveraging cutting-edge technologies to address complex challenges.Key Responsibilities:Architect, configure, and deploy HPC clusters and solutions, encompassing hardware, networking, storage, and software components.Continuously monitor and maintain the performance of HPC resources to ensure optimal functionality.Troubleshoot hardware, software, and network issues within HPC environments effectively.Optimize and fine-tune applications to enhance performance within HPC systems.Introduce and implement innovative technologies to boost computational efficiency.Manage security protocols, ensuring data integrity and confidentiality.

Role overview Harvard University is hiring a High Performance Computing Engineer based in Boston. This position centers on the design, construction, and enhancement of high-performance computing (HPC) systems and infrastructure. The engineer will work closely with researchers and faculty, providing technical expertise to meet advanced computational requirements for scientific research projects. Supporting innovation and research through reliable and efficient HPC resources is a key focus of this role. Key responsibilities Design and build high-performance computing systems Improve and maintain HPC infrastructure Collaborate with faculty and researchers to address computational challenges Location This position is based in Boston.

At IonQ, we are at the forefront of quantum computing, developing the world's most powerful full-stack quantum computer utilizing trapped-ion technology. Our mission goes beyond conventional computing; we aim to revolutionize industries including medicine, materials science, finance, artificial intelligence, and more. Join us as we unlock a new era of computing that holds the potential to enhance every aspect of human society.We are looking for a dynamic Senior Manager of High Performance Computing to lead our team focused on the hybrid HPC computational platform that supports our physics simulations, hardware verification, and the development of quantum algorithms. In this Player-Coach role, you will manage and mentor a team of engineers while actively engaging with advanced technologies. One day, you may be recruiting a new HPC engineer, and the next, you could be troubleshooting a race condition in a Slurm scheduler or optimizing a simulation kernel for GPU efficiency. You will bridge the gap between classical supercomputing and quantum simulations, crafting the hybrid infrastructure that enables us to transcend classical physics boundaries.

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.

Join Anduril Industries as a High-Performance Computing Engineer, where you'll leverage cutting-edge technology to enhance our defense systems. This role involves designing and optimizing HPC environments to support the development of advanced technologies that protect our nation. You will work closely with a team of talented engineers and scientists committed to innovation and excellence.

Position Overview:Role: High-Performance Computing (HPC) Support AnalystLocation: Moline, IL 61265Contract Duration: 12 Months (W2) Lead the development, implementation, and support of applications on Enterprise High-Performance Computing (HPC) systems.Administer and manage batch queuing software effectively.Configure and load FEA and CFD applications such as Abaqus, Ansys, StarCCM, Acusim, and others.Create job submission and cluster maintenance shell scripts for POSIX platforms.Conduct system-level job diagnostics and manage system operations.Monitor cluster utilization metrics, investigate issues, and document resolutions for application software.Collaborate with software vendors, engineering analysts, and the IPN infrastructure group to develop, test, and implement solutions for both new and existing applications on HPC systems.Experience with Linux or UNIX operating systems, proficiency in shell scripting (Bash, Perl, Python), and knowledge of IBM LSF and related products are essential.Familiarity with batch queuing software for cluster workloads is required.Experience in scripting FEA and CFD codes for job submissions.Strong teamwork and collaboration skills are essential.2-4 years of relevant experience in HPC support.This role requires working on-site.Typical working hours are from 7 AM to 4 PM, with some flexibility.On-call responsibilities will be required every third week, with potential for scheduling changes.Provide application development and support to partners in planning, delivering, and supporting business processes leveraging technology and business practices for strategic business units.The complexity of work ranges from low to medium, with associated risks being low to moderate.Interactions focus on tactical issues across departments and functional operations.Actively participate as a team member in various roles.Adhere to established processes for tasks with some oversight.Utilize discretion and judgment in managing personal work and schedules.Contribute to knowledge sharing within the team.Apply information analysis to aid in the effective implementation and integration of business processes.Engage in routine modifications and enhancements to existing processes.Identify, analyze, and apply technology and business practices to support operational efficiency.

About Periodic LabsPeriodic Labs is at the forefront of scientific innovation, leveraging artificial intelligence and advanced physical sciences to foster breakthroughs in materials, energy, and much more. As a rapidly growing company backed by leading investors, we operate with the urgency and agility required to tackle the challenges of tomorrow. Our team is characterized by deep expertise and an unrelenting commitment to pushing the boundaries of scientific achievement.About the RoleIn the role of HPC Engineer, you will be pivotal in designing, constructing, and managing high-performance computing infrastructures that drive our AI and scientific research initiatives. Our models necessitate extensive computational power — involving large GPU and CPU clusters, high-speed interconnects, low-latency parallel storage, and sophisticated workload schedulers to maximize efficiency. You will collaborate closely with researchers and infrastructure engineers to ensure that our computing environment is both fast and reliable, optimized for cutting-edge scientific discovery.This hands-on position will require you to architect and fine-tune systems, automate provisioning, troubleshoot performance bottlenecks, and design resilient solutions at scale. You will work alongside research and machine learning teams to understand their computational needs and create an HPC environment that enhances productivity and accelerates scientific progress.What You’ll DoDesign, deploy, and manage large-scale GPU and CPU clusters tailored for AI training, scientific simulation, and research workloadsOptimize high-speed interconnect fabrics (InfiniBand, RoCE) and parallel filesystems (Lustre, GPFS, WEKA, or similar) for peak performanceOversee workload scheduling and resource management using Slurm, Kubernetes, or comparable systems, focusing on throughput and fairnessImplement and maintain automated cluster provisioning and configuration management using tools like Ansible and TerraformMonitor cluster health and performance; develop dashboards and alerts to proactively address issuesCollaborate with research and ML teams to analyze workloads, resolve performance challenges, and optimize systemsCreate and manage backup, disaster recovery, and fault-tolerance strategies for critical research data and computational infrastructureAssess and integrate new hardware, including GPUs and accelerators, to enhance computational capabilities

Join our dynamic team at stemxpert1 as a Solutions Architect specializing in High-Performance Computing (HPC). In this role, you will leverage your expertise to design and implement cutting-edge HPC solutions that drive innovation and efficiency across various industries. You will collaborate with cross-functional teams to understand client requirements and develop tailored architectures that maximize performance and scalability.

Located in the heart of Silicon Valley, genbio is an innovative start-up where a dynamic team of scientists, engineers, and entrepreneurs is revolutionizing the fields of biology and medicine through the transformative capabilities of Generative AI. Our team is composed of trailblazers in AI and Biological Sciences, continually redefining the limits of what can be achieved. We envision a groundbreaking paradigm shift in biology and medicine.At genbio, our mission is to provide a comprehensive understanding of biology, paving the way for the next generation of life-altering solutions. As a pioneer in pan-modal Large Biological Models (LBM), we are leading a new chapter in biomedicine, with our LBM training facilitating extraordinary advancements and a reimagined approach to healthcare. Our robust R&D team and expertise in LLM and generative AI place us at the cutting edge of this transformative industry. With our headquarters in California and a branch office in Paris, we are set to make a significant global impact. Join us on our journey to reshape the future of biology and medicine through the revolutionary power of Generative AI.

About Us:At Xenon7, we are at the forefront of AI innovation, where passion, dedication, and expertise converge to shape the future.About Our Client:Our client is a renowned global leader in healthcare, based in Indianapolis, Indiana, specializing in the Cardiometabolic Research (CMR) Therapeutic Area. Their focus lies in pioneering biologic, small molecule, and genetic therapeutics aimed at addressing cardiometabolic diseases and their complications.The Cloud and Connectivity team is on the lookout for a talented HPC Platform Engineer. This position is crucial for driving analytical, statistical, and scientific computing capabilities within our high-performance computing infrastructure. Join us to propel the next wave of HPC innovation.Key Responsibilities:Lead the engineering and operational management of scalable HPC platforms.Facilitate the development of HPC infrastructure and user experiences.Collaborate closely with researchers and scientists to enhance performance and simplify workflows.Utilize automation tools for orchestration, resource scheduling, data access, and reproducibility.Manage and optimize both public cloud and on-premises environments to ensure high availability and performance for HPC workloads.Define and monitor key infrastructure metrics and resource utilization.Success Factors:Be Bold: Exhibit high learning agility and platform engineering skills to advance our technology strategy and uncover avenues to enhance our HPC capabilities.Be Fast: Propel initiatives that support critical business objectives.Be Proactive: Embrace agile methodologies and strive to become an expert in deploying HPC solutions.Be Your Best: Keep abreast of emerging technologies in the HPC domain.

Join our dynamic team as a Senior Software Engineer specializing in High Performance Computing. In this role, you will leverage your expertise to optimize and innovate our computing systems, ensuring they perform at the highest levels. You will collaborate with cross-functional teams to design, implement, and maintain high-performance computing solutions that meet the demands of our growing client base.

At Jump Trading Group, we are dedicated to pioneering research that transforms the financial landscape. We empower the brightest minds in Mathematics, Physics, and Computer Science to explore scientific frontiers and implement groundbreaking research in the global financial markets. Our unique culture fosters constant innovation, demanding fearlessness, creativity, intellectual integrity, and a fierce sense of competition. We believe in collective success and the power of collaboration to unlock individual potential. Research outcomes at Jump go beyond superior risk-adjusted returns; we design, develop, and deploy technologies that reshape our world, support startups across various industries, and collaborate with leading global research institutions to tackle complex challenges.Our global High Performance Computing Team is actively seeking a Production Engineer to join our Chicago office. The vast scale of our computing environments presents unique challenges in achieving optimal performance and reliability. Integrating various systems—including compute, scheduling, networking, and large-scale data storage—is essential to support our data pipelines and quantitative research initiatives. The ideal candidate will be a proactive, detail-oriented professional with extensive experience managing Linux environments and a robust software development background to maintain and enhance our uniquely tailored systems at scale.

Logic Technology, Inc. (LTI), recognized as the "Pro People" company, is a premier technology solutions provider dedicated to delivering exceptional services to organizations at local, national, and global levels. With over three decades of experience, our name has become synonymous with Leadership, Technology, and Integrity.We foster a workplace where motivated and confident employees can thrive, ensuring that our client relationships remain strong. LTI is committed to creating an engaging environment that attracts talented professionals through competitive benefits, stimulating work, and opportunities for personal growth.

At SpaceX, we believe in a future where humanity explores the stars and are actively developing technologies to make this a reality, with the ultimate goal of enabling human life on Mars.SOFTWARE ENGINEER - HIGH PERFORMANCE COMPUTING (STARLINK)Join us at SpaceX as we harness our expertise in rocket and spacecraft engineering to deploy Starlink, the most advanced broadband internet system in the world. Starlink represents the largest satellite constellation globally, providing fast and reliable internet access to millions of users. We design, construct, test, and operate every component of this system—including thousands of satellites, user terminals that connect within minutes of unboxing, and the software that unifies everything. We have just begun to tap into Starlink’s potential global impact and are seeking top-tier engineers to enhance its utility for communities and businesses around the world.As a Software Engineer on the Starlink program, you will tackle challenges aimed at optimizing our deployed hardware. Our mission is to deliver the best satellite internet experience, particularly to underserved communities, by providing affordable, transformative broadband access.Our software engineers oversee the entire software lifecycle, from development to testing and support. We encourage our engineers to bridge the gap between software design and real-world performance. In this role, your contributions will have a significant and measurable impact on the world.

Join SpaceX as a Software Engineer specializing in High Performance Computing (HPC) and contribute to pioneering advancements in space technology. Your expertise will play a crucial role in optimizing computational resources for our innovative satellite communications platform, Starlink.This position requires a collaborative mindset and a passion for problem-solving as you work alongside a talented team to enhance the efficiency and performance of our systems.

T-Rex Solutions is seeking a highly skilled and fully cleared Senior High Performance Computing (HPC) Software Engineer to join our team in Fort Meade, Maryland, dedicated to supporting the Intelligence Community.Key Responsibilities:Design, develop, test, deploy, document, maintain, and enhance diverse software solutions for HPC systems based on specified requirements. A strong mathematical or computer hardware background is essential to understand the complexities of the targeted HPC architecture and underlying mathematical principles.Engage in processing-intensive analytics, novel algorithm development, large data set manipulation, real-time systems, and systems involving data repositories and transport services.Collaborate effectively within a team or independently, ensuring adherence to design requirements through rigorous software testing and documentation of results.Utilize appropriate software development and design methodologies, provide input on system design regarding hardware/software trade-offs, and analyze requirements from system-level down to individual components.Possess working knowledge of Configuration Management (CM) tools and Web Services implementation.

All hired employees are expected to have experience with Microsoft Copilot and/or an approved equivalent AI solution.Description:Data Systems Analysts, Inc. (DSA) is on the lookout for a talented HPC Support Engineer, holding a TS/SCI clearance, to assist users in executing computational workloads within secure High Performance Computing (HPC) environments. This role involves direct collaboration with engineers, analysts, and researchers to facilitate job execution, troubleshoot workload failures, and enhance the performance and efficiency of compute workloads on HPC clusters.The HPC Support Engineer will aid users in developing, submitting, and troubleshooting scheduler job scripts for systems like Slurm or PBS, optimizing resource allocation for CPU, GPU, and distributed compute workloads, while promoting best practices for efficient HPC cluster utilization.This position demands a strong background in Linux, scripting skills, and familiarity with distributed computing environments tailored for scientific or engineering workloads. This role is based onsite in Charlottesville, VA.

Join SpaceX as a Senior Software Engineer specializing in High Performance Computing for our Starlink project. You will be at the forefront of developing software that enables our satellite constellation to provide high-speed internet across the globe. This role requires a blend of advanced programming skills, a solid understanding of computer architecture, and experience with parallel computing. You'll work in a fast-paced environment where innovation is key and collaboration drives success.