Hudson River Trading (HRT) is a leading quantitative trading and investment firm specializing in multi-asset class strategies. At the core of our success lies the power of our compute cluster, the foundation where all our trading strategies are conceived and refined.
We’re looking for innovative minds to enhance the data storage libraries and tools leveraged by our Algo team to generate cutting-edge strategies. As a Storage Developer, you’ll dive deep into C++ and advanced storage solutions, working at massive scale to enable groundbreaking research. Surrounded by a team of exceptional developers constantly pushing the boundaries of their expertise, you’ll be amazed at the impact you can achieve.
Profile
- You’re comfortable with implementing your own ideas, especially for a proof of concept
- You can describe software designs at a high level (the abstract interface), low level (step-by-step algorithm), or anywhere in between
- You like to work with people who challenge you and make you better at what you do
- In your spare time you: code, tinker, read, explore, break things, and have an insatiable curiosity for all things computer related... you'll find like-minded people here
Responsibilities
- Ensure HRT’s research cluster is the best among our competitors, with a focus on storage performance and user data workflows
- Maintain and improve storage solutions both homegrown and open source as we scale up compute resources
- Keep abreast of changes in the HPC landscape and bring storage technologies into HRT as appropriate
- Contribute individually and through leadership and coordination of the above
- Help set technical direction for the cluster and take ownership of the software infrastructure that supports Algo data usage, communicating frequently with Algo stakeholders
Qualifications
- 3-5+ years experience designing storage solutions in a large compute cluster
- Bachelor's degree in Computer Science, Engineering or a related field
- Skilled in software design, testing, deployment, and monitoring in a large distributed compute cluster
- Familiarity with the storage solution and protocols (ZFS, NFS, object store, S3, Google Cloud Storage, Lustre, databases, etc.)
- Solid communication and collaboration skills
- C++ experience is required, python experience helpful
- Knowledge of UNIX operating systems (we use Debian Linux), system/processor performance, and network communication
Annual base salary range of $175,000 to $250,000. Pay (base and bonus) may vary depending on job-related skills and experience. A sign-on and discretionary performance bonus may be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.