HPC Solutions Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with clients during technical discovery to establish their requirements and deliverables for various use cases, assisting them in effectively utilizing distributed GPU computing resources.

• Identify and suggest the most suitable tools for each client while developing boilerplate and reference implementations that can be reused for future clients.

• Oversee the management of GPU clusters and liaise with IT to ensure the optimal performance of NVIDIA GPUs, leveraging technologies like InfiniBand for high-speed networking.

• Supervise the deployment and upkeep of machine learning environments using virtual storage solutions and distributed computing (HPC) tools such as SLURM.

• Automate the provisioning and management of infrastructure using tools like Ansible and Terraform.

• Work in partnership with data scientists and engineers to facilitate the smooth integration of ML models into production settings.

• Conduct system performance tuning and optimization to enhance throughput and minimize latency.

• Remain informed about the latest trends in machine learning technologies and HPC to apply best practices in infrastructure configuration and model development.

• Create and maintain documentation for operational procedures and system configurations.

⛳️ Requirements

• Over 7 years of experience in high-performance computing, distributed machine learning, GPU computing, and/or system architecture.

• Proficient in managing NVIDIA GPU environments with knowledge of GPU computing frameworks and libraries.

• Extensive experience with high-speed networking technologies, particularly InfiniBand.

• Familiarity with HPC job schedulers, preferably SLURM.

• Expertise in automating environment setup and maintenance using Ansible and Terraform.

• Proven ability in deploying and managing virtual storage solutions.

• Strong programming skills in Python and familiarity with machine learning libraries and frameworks.

• Exceptional problem-solving, communication, and teamwork abilities.

🏝️ Benefits

• Engage with a wide range of hardware configurations and locations available in the industry, alongside cutting-edge GPU use cases.

• This position is fully remote, fostering a culture of high accountability and autonomy.

• Competitive salary, equity, and benefits package offered.

• Flexible PTO policy in place.