SF
Director of Digital Assets Risk overseeing risk management for digital asset investment products. Defining frameworks and providing expertise across investment, trading, and compliance groups.
About the role
- Software Engineer building highly performant systems for AI research and deployment. Focus on sandboxed execution environments and distributed systems orchestration.
Responsibilities
- Build highly scalable, highly performant, software that facilitates arbitrary code execution with strong isolation guarantees.
- Design and build systems that allow our AI models to interface with machines in various modes, interactive terminal, GUI applications, etc.
- Provision and operate high density compute and storage nodes (NVMe, high IOPS SSDs, high bandwidth networks), and build software that performs efficient load balancing, and resource utilization across them.
- Instrument and optimize end to end performance including storage IO, network bandwidth, CPU, memory, and endurance constraints.
- Develop APIs, self service platforms, and automation and tools so researchers and engineers can deploy and monitor workloads at scale.
- Troubleshoot complex infrastructure issues across OS, drivers, hardware, storage systems (local NVMe, block storage, NFS), networking, namespace isolation, and cloud or hybrid environments.
- Produce clean, documented code and developer workflows, and collaborate with SRE and security teams to ensure safe, reliable, and self serviceable compute offerings.
Requirements
- Strong software engineering background (C, C++, Go, Rust, or similar systems languages).
- Experience designing or operating sandboxed or isolated execution environments (namespaces, cgroups, container runtime internals), or strong interest in this area.
- Experience building or operating distributed systems or parallel processing frameworks (scatter aggregate processing, worker pools, multi thread and multi process coordination, shared memory, atomics, merging strategies).
- Solid understanding of storage and IO subsystems (NVMe, SSD endurance, write amplification), network performance, CPU and memory resource constraints in high performance compute clusters.
- Comfortable working on low level systems (OS, threading, memory management, synchronization) as well as higher level orchestration or automation.
- Experience with cloud infrastructure (GCP, AWS, Azure, etc.) including IaC tools such as OpenTofu, Terraform, Pulumi, or CDK is a plus.
- Intellectual curiosity, strong ownership, and the ability to make tradeoffs in ambiguous environments such as latency versus throughput and isolation versus performance.
Benefits
- Significant equity component
- 401(k) with matching
- Comprehensive health, dental, and vision insurance
- Unlimited paid time off
- Visa sponsorship and relocation support
- Fast paced, mission driven environment focused on safely advancing AGI for humanity
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