About Arc Institute
The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.
While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:

• Funding: Arc will fully fund Core Investigator's (PI's) research groups, liberating scientists from the typical constraints of project-based external grants.
• Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.
• Support: Arc aims to provide first-class support-operationally, financially and scientifically-that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.
• Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.

Arc scaled to nearly 100 people in its first year. With $650M in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly to several hundred in the coming years.
About the position
We are seeking a HPC Infrastructure Engineer to join our Software Infrastructure team, working a hybrid on-site weekly schedule at our facility in Palo Alto. In this role, you will be responsible for administering and optimizing our High-Performance Computing (HPC) cluster orchestrated by Slurm. You will work closely with researchers, developers, and IT professionals to ensure the availability, reliability, and performance of our HPC infrastructure. Your work will fuel the development of biological foundation models (i.e. Evo; Arc's recently released DNA foundation model), the Virtual Cell Initiative, and other cutting-edge bioinformatic projects in the context of Institute-wide efforts.
About you

• You lead with empathy . You know that successful systems are more about the user than the tool. You enjoy building relationships and credibility with your colleagues.
• You enjoy solving problems. Any new project is an interesting puzzle. So is a tricky troubleshooting issue. You get satisfaction from helping someone get to resolution.
• You're curious. You like to keep track of the latest developments in your field, and to learn about the substance behind your employer's mission.

In this position you will

• Manage and maintain the Slurm-based HPC cluster, ensuring high availability and performance.
• Monitor system performance, identify bottlenecks, and implement optimizations.
• Develop and implement strategies for system automation and configuration management.
• Troubleshoot and resolve hardware, software, and network issues.
• Collaborate with researchers and developers to understand their computational needs and provide appropriate resources and support.
• Perform regular system updates, patches, and security enhancements.
• Manage user access, quotas, and job scheduling policies.
• Develop and maintain documentation for system configurations, procedures, and policies.
• Participate in on-call rotations to provide high-availability support for critical issues.
• Be based at our Palo Alto facility working a hybrid on-site schedule.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience in administering HPC clusters and managing Slurm workload managers or similar (Kubernetes, Grid Engine, Torque, etc.).
• Strong knowledge of Linux operating systems (CentOS, Ubuntu, etc.).
• Experience with configuration management tools such as Ansible, Puppet, or Chef.
• Proficiency in scripting languages like Python, Bash, or Perl.
• Familiarity with network protocols, storage systems, and high-speed interconnects (InfiniBand, Ethernet).
• Experience with monitoring tools like Nagios, Prometheus, or Grafana.
• Proficiency in software installation, configuration and development (make, bazel, gcc, gdb, conda, pip)
• Experience developing and maintaining software that interacts with Nvidia GPUs, including drivers and diagnostic tools (CUDA, nvcc, nccl, etc.).
• Understanding of security best practices and experience implementing security measures.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication and collaboration skills.
• Ability to work hybrid on-site at our facility in Palo Alto.

The base salary range for this position is $122,250 - $146,050. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.