Senior HPC Specialist
Denver, CO · On-site
... e.g., Slurm, PBS, Grid Engine). • Monitor system health, troubleshoot issues, and resolve performance bottlenecks. • Ensure optimal configuration and high availability of HPC resources. • ...
Senior HPC Specialist
Denver, CO · On-site
... e.g., Slurm, PBS, Grid Engine). • Monitor system health, troubleshoot issues, and resolve performance bottlenecks. • Ensure optimal configuration and high availability of HPC resources. • ...
Machine Learning Engineer
Thornton, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Thornton, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Greeley, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Greeley, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Aurora, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Aurora, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Denver, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Denver, CO · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
PBSPro, SLURM) • Experience with Panasas/Vdura storage support • Proficiency in technical writing and documentation of solutions • Demonstrated ability to work seamlessly across organization ...
PBSPro, SLURM) • Experience with Panasas/Vdura storage support • Proficiency in technical writing and documentation of solutions • Demonstrated ability to work seamlessly across organization ...
Manage job scheduling and workload optimization using tools like SLURM. * Administer parallel file systems (such as ceph and IBM Spectrum Scale/GPFS) and storage solutions. Development * Design and ...
Manage job scheduling and workload optimization using tools like SLURM. * Administer parallel file systems (such as ceph and IBM Spectrum Scale/GPFS) and storage solutions. Development * Design and ...
Manage job scheduling and workload optimization using tools like SLURM. * Administer parallel file systems (such as ceph and IBM Spectrum Scale/GPFS) and storage solutions. Development * Design and ...
Manage job scheduling and workload optimization using tools like SLURM. * Administer parallel file systems (such as ceph and IBM Spectrum Scale/GPFS) and storage solutions. Development * Design and ...
Advanced Software Engineer - Hybrid Quantum-HPC Orchestration | 904
Broomfield, CO · On-site
$132K - $165K/yr
Develop robust interfaces between HPC job schedulers (e.g., Slurm) and quantum runtimes, optimizing data movement and job scheduling. * Work with QPU hardware control systems and SDKs to integrate ...
Advanced Software Engineer - Hybrid Quantum-HPC Orchestration | 904
Broomfield, CO · On-site
$132K - $165K/yr
Develop robust interfaces between HPC job schedulers (e.g., Slurm) and quantum runtimes, optimizing data movement and job scheduling. * Work with QPU hardware control systems and SDKs to integrate ...
Machine Learning Engineer
Centennial, CO · On-site
$154 - $195/hr
Multi-GPU and distributed training experience (PyTorch DDP or FSDP), including shared cluster resources (Slurm, Kubernetes, Run:ai) * Experience with experiment tracking and data/model versioning for ...
Machine Learning Engineer
Centennial, CO · On-site
$154 - $195/hr
Multi-GPU and distributed training experience (PyTorch DDP or FSDP), including shared cluster resources (Slurm, Kubernetes, Run:ai) * Experience with experiment tracking and data/model versioning for ...
High-performance computing (HPC) systems, supercomputing environments, or HPC job schedulers such as Slurm or PBS. * GPU or accelerator programming, including CUDA or similar programming models.
High-performance computing (HPC) systems, supercomputing environments, or HPC job schedulers such as Slurm or PBS. * GPU or accelerator programming, including CUDA or similar programming models.
Senior Embedded Software Engineer - High-Performance Computing Orchestration
Boulder, CO · On-site
$165K - $225K/yr
High-performance computing (HPC) systems, supercomputing environments, or HPC job schedulers such as Slurm or PBS. * GPU or accelerator programming, including CUDA or similar programming models.
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Senior Embedded Software Engineer - High-Performance Computing Orchestration
Boulder, CO · On-site
$165K - $225K/yr
High-performance computing (HPC) systems, supercomputing environments, or HPC job schedulers such as Slurm or PBS. * GPU or accelerator programming, including CUDA or similar programming models.
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Job description
Job Summary:
MDAEdge is seeking a highly skilled and experienced Senior HPC Specialist to design, implement, and maintain high-performance computing (HPC) systems and solutions. The ideal candidate will play a critical role in optimizing computational performance and ensuring the reliability of the infrastructure.
Responsibilities:
• Design and deploy HPC clusters, including compute, storage, and networking components.
• Evaluate and integrate new HPC technologies to enhance system performance and scalability.
• Manage Linux-based HPC systems using job schedulers (e.g., Slurm, PBS, Grid Engine).
• Monitor system health, troubleshoot issues, and resolve performance bottlenecks.
• Ensure optimal configuration and high availability of HPC resources.
• Profile and fine-tune applications and workloads for peak performance on HPC systems.
• Analyze job performance and provide recommendations to users for enhancements.
• Administer large-scale parallel file systems (e.g., Lustre, GPFS, BeeGFS).
• Implement data transfer and storage strategies for high-throughput workloads.
• Provide technical support and training to researchers and end users.
• Work with interdisciplinary teams to understand and meet computational requirements.
• Adhere to security best practices and compliance standards for HPC systems.
• Develop and manage backup and disaster recovery solutions.
Qualifications:
Required:
• Proven experience in HPC cluster design, deployment, and management (compute, storage, networking).
• Proficiency in administering Linux systems (RedHat, CentOS, Ubuntu).
• Hands-on experience with job schedulers like Slurm, PBS, or Grid Engine.
• Strong skills in profiling, benchmarking, and optimization techniques.
• Expertise in managing Lustre, GPFS, or BeeGFS.
• Advanced knowledge of scripting languages (Bash, Python, Perl).
• Ability to provide technical documentation, training, and collaboration.
• Knowledge of system hardening, backups, and disaster recovery processes.
Preferred:
• Experience working in interdisciplinary teams to meet diverse computational needs.
• Passion for exploring emerging HPC technologies to enhance capabilities.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.
MDAEdge is seeking a highly skilled and experienced Senior HPC Specialist to design, implement, and maintain high-performance computing (HPC) systems and solutions. The ideal candidate will play a critical role in optimizing computational performance and ensuring the reliability of the infrastructure.
Responsibilities:
• Design and deploy HPC clusters, including compute, storage, and networking components.
• Evaluate and integrate new HPC technologies to enhance system performance and scalability.
• Manage Linux-based HPC systems using job schedulers (e.g., Slurm, PBS, Grid Engine).
• Monitor system health, troubleshoot issues, and resolve performance bottlenecks.
• Ensure optimal configuration and high availability of HPC resources.
• Profile and fine-tune applications and workloads for peak performance on HPC systems.
• Analyze job performance and provide recommendations to users for enhancements.
• Administer large-scale parallel file systems (e.g., Lustre, GPFS, BeeGFS).
• Implement data transfer and storage strategies for high-throughput workloads.
• Provide technical support and training to researchers and end users.
• Work with interdisciplinary teams to understand and meet computational requirements.
• Adhere to security best practices and compliance standards for HPC systems.
• Develop and manage backup and disaster recovery solutions.
Qualifications:
Required:
• Proven experience in HPC cluster design, deployment, and management (compute, storage, networking).
• Proficiency in administering Linux systems (RedHat, CentOS, Ubuntu).
• Hands-on experience with job schedulers like Slurm, PBS, or Grid Engine.
• Strong skills in profiling, benchmarking, and optimization techniques.
• Expertise in managing Lustre, GPFS, or BeeGFS.
• Advanced knowledge of scripting languages (Bash, Python, Perl).
• Ability to provide technical documentation, training, and collaboration.
• Knowledge of system hardening, backups, and disaster recovery processes.
Preferred:
• Experience working in interdisciplinary teams to meet diverse computational needs.
• Passion for exploring emerging HPC technologies to enhance capabilities.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.
About MDA Edge
Sourced by ZipRecruiter
Industry
Custom software development services
Company size
51 - 200 Employees
Headquarters location
Los Altos, CA, US