高级软件工程师，GPU基础设施（HPC）
Senior Software Engineer, GPU Infrastructure (HPC)
我们是谁？
Cohere 是一家以安全为首要任务的企业人工智能公司。我们构建前沿的基础人工智能模型和端到端产品，旨在解决现实世界中的业务问题。
我们正在为正在构建人工智能系统的公司训练和部署前沿模型。我们认为我们的工作对人工智能的广泛应用至关重要，我们正在寻找希望成为其中一员的人才。
我们对所构建的东西非常执着。我们每个人都负责提升模型的能力以及为客户创造的价值。Cohere 是一个由研究人员、工程师、设计师等组成的团队，大家都对自己的专业充满热情。
我们是一家总部位于多伦多的全球科技公司，在伦敦、纽约市、旧金山、蒙特利尔、巴黎、柏林和首尔设有主要办事处。加入我们吧！
为什么选择这个团队？
内部基础设施团队负责构建用于训练、评估和提供 Cohere 基础模型的世界级基础设施和工具。加入我们的团队，你将与人工智能研究人员紧密合作，支持他们在最前沿的 AI 工作负载需求，重点关注稳定性、可扩展性和可观测性。你将负责构建和运营跨多个云平台的超级集群。你的工作将直接加速推动 Cohere 平台 North 的行业领先 AI 模型的开发。
请注意：我们所有的基础设施岗位都需要参与 24x7 的值班轮班，你会因值班安排获得补偿。
作为高级软件工程师，你将：
- 构建和扩展面向机器学习的高性能计算（HPC）基础设施：在多个云平台上部署和管理基于 Kubernetes 的 GPU/TPU 超级集群，确保 AI 工作负载的高吞吐量和低延迟性能。
- 优化 AI/ML 训练：与云服务提供商合作，调整基础设施以实现成本效率、可靠性和性能，利用 RDMA、NCCL 和高速互连等技术。
- 解决复杂问题：主动识别并解决基础设施瓶颈、性能下降和系统故障，以确保 AI/ML 工作流的最小中断。
- 为研究人员提供自助工具：设计直观的界面和流程，使研究人员能够独立监控、调试和优化他们的训练任务。
- 推动机器学习基础设施的创新：与 AI 研究人员密切合作
查看英文原文
Who are we?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this team?
The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North.
Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.
As a Staff Software Engineer, you will:
- Build and scale ML-optimized HPC infrastructure: Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds, ensuring high throughput and low-latency performance for AI workloads.
- Optimize for AI/ML training: Collaborate with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance, leveraging technologies like RDMA, NCCL, and high-speed interconnects.
- Troubleshoot and resolve complex issues: Proactively identify and resolve infrastructure bottlenecks, performance degradation, and system failures to ensure minimal disruption to AI/ML workflows.
- Enable researchers with self-service tools: Design intuitive interfaces and workflows that allow researchers to monitor, debug, and optimize their training jobs independently.
- Drive innovation in ML infrastructure: Work closely with AI researchers to understand emerging needs (e.g., JAX, PyTorch, distributed training) and translate them into robust, scalable infrastructure solutions.
- Champion best practices: Advocate for observability, automation, and infrastructure-as-code (IaC) across the organization, ensuring systems are maintainable and resilient.
- Mentorship and collaboration: Share expertise through code reviews, documentation, and cross-team collaboration, fostering a culture of knowledge transfer and engineering excellence.
You may be a good fit if you have:
- Deep expertise in ML/HPC infrastructure: Experience with GPU/TPU clusters, distributed training frameworks (JAX, PyTorch, TensorFlow), and high-performance computing (HPC) environments.
- Kubernetes at scale: Proven ability to deploy, manage, and troubleshoot cloud-native Kubernetes clusters for AI workloads.
- Strong programming skills: Proficiency in Python (for ML tooling) and Go (for systems engineering), with a preference for open-source contributions over reinventing solutions.
- Low-level systems knowledge: Familiarity with Linux internals, RDMA networking, and performance optimization for ML workloads.
- Research collaboration experience: A track record of working closely with AI researchers or ML engineers to solve infrastructure challenges.
- Self-directed problem-solving: The ability to identify bottlenecks, propose solutions, and drive impact in a fast-paced environment.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.