Staff Scientific HPC Engineer

2 months ago


Cambridge, Cambridgeshire, United Kingdom Altos Labs Full time

Our Mission

We are dedicated to revolutionizing cell health and resilience through cutting-edge cell rejuvenation technologies, aiming to reverse disease, injury, and disabilities that can occur throughout life.

Our Value

Our core value is Everyone Owns Achieving Our Inspiring Mission, driving us to excel in scientific innovation and inquiry.

Diversity at Altos

We believe that diverse perspectives are essential to scientific breakthroughs and innovation, and we strive to create an inclusive environment where exceptional scientists and industry leaders from around the world collaborate to advance our shared mission.

We are committed to building a company where all employees feel valued for their unique perspectives and are empowered to contribute to our mission.

At Altos, we are accountable for sustaining a diverse and inclusive environment, where everyone can thrive and make a meaningful impact.

What You Will Contribute To Altos

The Altos Labs team is seeking a highly skilled Systems Engineer and Administrator specializing in high-performance (HPC) and GPU-accelerated computing to work closely with the Scalable Modeling team and help manage the scientific compute infrastructure of our organization.

This role will lead the design, implementation, and support of our high-performance computing systems, with a focus on GPU-accelerated computation and high-performance storage.

Candidates for this role will work closely with our research and engineering teams to operate infrastructure and platforms for large-scale AI/ML model training and inference, ensuring efficient and reliable operation of our HPC infrastructure.

Responsibilities

  • Design, implement, and manage high-performance computing systems infrastructure, focusing on GPU compute capabilities
  • Configure and maintain high-performance networking and storage infrastructure to support low latency, high throughput distributed computation
  • Collaborate with ML research and engineering teams to understand and meet their accelerated computation needs, ensuring next-generation infrastructure support for emerging trends in AI/ML, including foundation models and LLMs
  • Monitor system performance, troubleshoot and address issues to ensure high availability and optimal performance
  • Develop and maintain system documentation, including hardware/software configurations, troubleshooting guides, and operational procedures
  • Conduct training sessions or workshops to educate users on the proper use of scientific computation infrastructure
  • Stay up to date with the latest trends and advancements in HPC and GPU technologies and advise senior leadership on procurement strategies for next-generation hardware and solutions

Who You Are

Required Qualifications

  • Bachelor's degree in computer science, Information Technology, or a related quantitative field
  • Relevant experience in HPC
  • Extensive experience building and optimizing high-performance computing systems
  • Experience with networking and interconnect architectures commonly found in distributed systems (e.g. Infiniband, Mellanox, 100GbE)
  • Experience managing high-performance storage systems (e.g. Ceph, Gluster, Lustre, etc.)
  • Knowledge of HPC system tools and software stacks, such as job schedulers (e.g. Slurm), performance monitoring, and system management
  • Excellent problem-solving skills and the ability to troubleshoot complex system issues
  • Strong communication skills and the ability to work collaboratively with both technical and non-technical team members

Preferred Skills

  • Strong understanding of modern GPU architectures and programming frameworks like CUDA or OpenCL
  • Experience working with NVIDIA Data Center-class GPUs (A100, H100, etc)
  • Experience with deep learning frameworks like TensorFlow or PyTorch is a plus
  • Familiarity with foundation models and their computational requirements
  • Familiarity with NVIDIA Enterprise AI software platform

Compensation

The salary range for this role is £105,400 - £133,300, with exact compensation may vary based on skills, experience, and location.



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