Member of Technical Staff, GPU Infrastructure

🔥 3 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $270k - $335k / year

⏰ Full Time

🔴 Lead

🖥 Software Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 22%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• Deploy and operate GPU Kubernetes clusters across clouds • Bring up new hardware generations and providers • Work with cloud providers and hardware partners on reliability, performance, and cost • Address RDMA and high-speed interconnects • Automate node, GPU, and fabric fault detection and remediation • Improve fleet utilization and track cost • Reduce the time required to return faulty nodes to service • Troubleshoot production failures and performance problems • Improve system operability • Collaborate with AI researchers and ML engineers on stability, scalability, and observability • Participate in a compensated 24x7 on-call rotation

🎯 Requirements

• Experience running GPU Kubernetes clusters with thousands of GPUs for ML or HPC workloads • Experience debugging Linux, networking, and performance problems • Familiarity with RDMA, NCCL, or accelerator health is a plus • Software development experience in Python or Go • Experience extending solid open-source projects • Experience working with researchers, ML engineers, or teams with differing goals • Experience identifying bottlenecks, proposing fixes, and driving implementation in a fast-moving environment • Availability for a compensated 24x7 on-call rotation • Must be authorized to work in the country of current residence • Must indicate whether work sponsorship is required now or in the future

🏖️ Benefits

• A weekly lunch stipend of $75/£75 or equivalent in local currency • Full health and dental benefits • Separate mental health budget • RRSP matching • 401K • Pension Scheme • 100% parental leave top-up for up to 6 months, for either parent • Annual enrichment benefits for arts and culture, fitness/wellness, quality time, and workspace improvement • Education and learning stipend for conferences, courses, and coaching • 6 weeks of paid vacation (30 working days) • Budget for traveling to other offices if remote • Annual company offsite • Co-working benefit for employees not near an office • $500 home office stipend • Daily lunch program, snacks, and regular community and social events for office-based employees

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