Senior Machine Learning Infrastructure Engineer
1 week ago
About Us:
Optiver is a global market maker with a presence in multiple continents. Founded in 1986, we are a leading liquidity provider with a strong commitment to improving the market through competitive pricing, execution, and risk management.
We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products. Our Shanghai office, established in 2012, is a rapidly growing participant in the Chinese markets, trading exchange-listed futures, options, and equities.
Key Responsibilities:
- Design and develop the infrastructure and compute platform for large-scale machine learning workloads.
- Focus on compute platform stability and efficiency on both CPU and GPU clusters, making the platform observable and scalable.
- Utilize cluster monitoring and profiling tools to identify bottlenecks and optimize both infrastructure and software.
- Troubleshoot and resolve issues related to OS, storage, network, and GPUs.
Requirements:
- Solid experience in running production machine learning infrastructure at a large scale.
- Experience in designing, deploying, profiling, and troubleshooting in Linux-based computing environments.
- Proficiency in GPU, containerization, parallel computing, and cluster management tools.
- Experience with storage solutions for large-scale, cluster-based data-intensive workloads.
- Experience with Infrastructure as Code tools (Ansible, Terraform, etc.).
Bonus Qualifications:
- Experience supporting machine learning engineers or data scientists for production workloads.
- Familiarity with RDMA networking for storage and GPU systems.
- Experience working with AWS or other cloud service providers.
What We Offer:
In return for your expertise, you will be offered a competitive salary package and access to a range of Optiver perks. Our flat organization empowers individuals and creates diverse teams that thrive. We are passionate about diversity and inclusion, and we welcome applications from candidates from any background.
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