Systems Engineer, Agents/Clusters/Supercomputers

About the Role

We are seeking exceptional systems engineers to develop and manage systems infrastructure, software, and networks for a New York–based drug discovery and computational biochemistry research company. Successful hires will be responsible for our compute clusters and software environment, including:

• Kubernetes-powered agentic workflows
• State-of-the-art GPU clusters with hundreds of GPUs
• High-performance RDMA fabrics and wide-area networks
• Linux clusters ranging from thousands to tens of thousands of CPU cores
• Tens of petabytes of storage
• Massively parallel custom supercomputers
• Making all of the above available to machine learning and drug discovery researchers and agents in a secure and convenient way

Ideal Candidate Profile

Ideal candidates will have strong fundamental knowledge of Linux concepts such as file systems, networking, and processes, in addition to practical experience administering Linux systems. Relevant areas of expertise might include:

• Large-installation systems administration
• HPC systems engineering
• Programming and scripting of distributed systems in Python
• High performance data-parallel computing
• Systems software and software development
• Kubernetes systems engineering

Specific knowledge of and level of experience in any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement. Candidates should have excellent communication skills, and we will consider candidates at all levels of experience. We are looking to add innovative contributors who share our commitment to fostering a stimulating, positive, and collaborative work environment.

About D. E. Shaw Research

D. E. Shaw Research (DESRES) develops and uses advanced computational technologies to understand the behavior of biologically and pharmaceutically significant molecules at an atomic level of detail, and to design precisely targeted, highly selective drugs for the treatment of various diseases. Among its core technologies is Anton, a proprietary special-purpose supercomputer that DESRES designed and constructed to vastly accelerate the process of molecular dynamics simulation. DESRES uses Anton machines and high-speed commodity hardware, together with machine learning methods and other computational techniques, in both internal and collaborative drug discovery programs. For more information, visit www.DEShawResearch.com.

Pay

The expected annual base salary for this position is $250,000–$800,000. Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses.

Benefits

• Generous benefits
• Relocation and immigration assistance

Schedule

We follow a hybrid work schedule, in which employees work from the office three days per week, and have the option of working from home the other two days per week.