Acceler8 Talent
Distributed Systems Engineer (San Francisco)
Acceler8 Talent, San Francisco, California, United States, 94199
Distributed Systems Engineer - San Francisco, CA
A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Distributed Systems Engineer to join their team.
What Will I Be Doing:
Design and build distributed data and coordination systems that enable ultra-long-context model training and inference Develop high-performance storage and caching systems to support large-scale GPU workloads Work deep in the internals of modern deep learning frameworks in highly distributed environments Build automation for fault detection, recovery and high availability across GPU clusters Troubleshoot complex, cross-stack issues spanning GPUs, networking, storage, operating systems and cloud infrastructure
What Were Looking For:
Deep expertise in distributed systems design and public cloud platforms Proven experience designing and operating highly available, high-throughput data systems Strong knowledge of distributed databases, batch or stream processing systems, and/or distributed file systems Exceptional problem-solving ability across the full systems stack A hands-on mindset with the curiosity and grit to learn fast in a frontier technical environment
Whats In It for Me:
Salary of $225K$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors
Apply now for immediate consideration!
A company building frontier-scale AI models that automate software engineering and AI research, combining ultra-long context, domain-specific RL, and massive compute infrastructure are looking for a Distributed Systems Engineer to join their team.
What Will I Be Doing:
Design and build distributed data and coordination systems that enable ultra-long-context model training and inference Develop high-performance storage and caching systems to support large-scale GPU workloads Work deep in the internals of modern deep learning frameworks in highly distributed environments Build automation for fault detection, recovery and high availability across GPU clusters Troubleshoot complex, cross-stack issues spanning GPUs, networking, storage, operating systems and cloud infrastructure
What Were Looking For:
Deep expertise in distributed systems design and public cloud platforms Proven experience designing and operating highly available, high-throughput data systems Strong knowledge of distributed databases, batch or stream processing systems, and/or distributed file systems Exceptional problem-solving ability across the full systems stack A hands-on mindset with the curiosity and grit to learn fast in a frontier technical environment
Whats In It for Me:
Salary of $225K$550K dependent on experience + significant equity Great benefits inc. 401(k) with 6% company match, comprehensive health, unlimited PTO Visa sponsorship and SF relocation stipend available Well-funded ($465M+) with backing from top investors
Apply now for immediate consideration!