资深工程师, 推理优化
Staff Engineer, Inference Optimizations
在DigitalOcean开启职业生涯中最出色的工作。与一支由顶尖人才组成的强大团队并肩前行，他们不断追求打造最简单可扩展的云服务。如果你拥有成长型思维，习惯于大胆思考，并且被真正行业颠覆者的快节奏环境所激励，你将在这里找到属于自己的位置。我们注重共同成功——在学习中、在乐趣中，为世界上的梦想家和建设者带来深远的影响。
DigitalOcean正在寻找一名**高级工程师2**，在**AI推理优化**团队中担任关键的技术角色。DigitalOcean旨在成为数字化原生公司的首选推理云，而你将帮助确保我们能够为推理服务提供行业领先的性能。你将负责制定架构决策，以最大化吞吐量并最小化延迟，针对世界上最先进的大型模型。作为一位技术领导者，你将成为工程组织的倍增器，解决内存带宽和计算利用率方面的最复杂瓶颈，同时指导我们高性能推理舰队的技术路线图。
### **你将负责：**
- **性能架构：** 领导推理引擎和GPU内核层的基准测试与性能优化技术策略，确保我们的基础设施从每个TFLOP中提取最大价值。
- **深入优化：** 工程解决复杂的性能问题，包括注意力层优化、内存与精度管理，以及跨多节点GPU集群的高级并行化。
- **技术创新：** 主动实施前沿的优化技术，使DigitalOcean保持在生成式AI领域的前沿。你可能参与的一些项目示例包括：
- 使用AMD的AITER库提升AMD MI355X的批量大小性能——识别并调整AITER的CK（可组合内核）或ASK（汇编）以优化FP8 / BF16
- 为GLM-5的不同Transformer块层（FlashAttention、RMS Norm）识别GLM-5内核的内核融合机会
- 为MoE模型如Qwen3-235B、DeepSeek V3、GLM-5等调优专家网关路由器内核
- **硬件与生态系统精通：** 成为现代GPU系列（NVIDIA/AMD）及其软件栈（CUDA、ROCm、TensorRT、OpenAI Triton）的专家，就硬件采购和软件集成提供建议。
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
DigitalOcean is seeking a **Senior Engineer 2** to play a key technical role in our **AI Inference Optimization** team. DigitalOcean aims to be the Inference Cloud of choice for digitally native companies and you will help ensure we can offer the industry-leading performance for our inference services. You will be responsible for the architectural decisions that maximize throughput and minimize latency for the world’s most advanced large models. As an IC leader, you will act as a force multiplier for the engineering organization, solving the most complex bottlenecks in memory bandwidth and compute utilization while guiding the technical roadmap for our high-performance inference fleet.
### **What You’ll Do:**
- **Performance Architecture:** Lead the technical strategy for benchmarking and performance optimizations at the inference engine and GPU kernel layers, ensuring our infrastructure extracts maximum value from every TFLOP.
- **Deep-Dive Optimization:** Engineer solutions for complex performance issues, including attention layer optimizations, memory and precision management, and advanced parallelization across multi-node GPU clusters.
- **Technological Innovation:** Proactively implement cutting-edge optimization techniques to keep DigitalOcean at the forefront of the Gen AI landscape. Some examples of projects you may work on:
- Improving batch size performance using AMD's AITER library for AMD MI355X - identify and tune AITER's CK (composable kernel) or ASK (assembly) to optimize FP8 / BF16
- Identify kernel fusion opportunities for GLM-5 kernels for different layers of the Transformer block (FlashAttention, RMS Norm)
- Tune expert gateway router kernels for MoE models like Qwen3-235B, DeepSeek V3, GLM-5 etc
- **Hardware & Ecosystem Mastery:** Act as the subject matter expert on modern GPU families (NVIDIA/AMD) and their software stacks (CUDA, ROCm, TensorRT, OpenAI Triton), advising on hardware procurement and software integration.
- **Precision Optimization:** Develop and deploy state-of-the-art quantization techniques (FP8, INT8, and experimental **FP4**) to double throughput without losing accuracy.
- **Technical Mentorship:** Lead by example through high-quality code and design reviews, elevating the technical bar for the team without the administrative overhead of direct management.
- **Strategic Collaboration:** Partner with Product Management and TPMs to translate "theoretical hardware limits" into "shippable product features," ensuring our platform is both powerful and developer-friendly.
- **Community Leadership:** Maintain a strong presence in the GPU infrastructure and model performance optimization communities, contributing to and integrating the best of open-source AI.
### **What You’ll Bring to DigitalOcean:**
- **Technical Depth:** 5+ years of experience in high-performance computing or AI infrastructure, with a proven track record of solving compute utilization and memory bandwidth bottlenecks.
- **Gen AI Literacy:** Deep familiarity with the Gen AI (LLM, VLM, LMM) landscape, including the specific quirks and architectural requirements of major model families.
- **Optimization Expert:** Hands-on experience with attention-layer optimizations and parallelization strategies across distributed GPU environments.
- **Hardware Fluency:** Comprehensive understanding of NVIDIA and AMD GPU architectures and their respective software ecosystems (CUDA, ROCm, etc.).
- **Open Source Mastery:** Extensive experience integrating, building with, and contributing to open-source software projects.
- **Systems Design:** Excellent system design skills, particularly related to low-level GPU programming - optimization, memory access patterns, and parallel execution.
- **Leadership through Influence:** Experience acting as a technical lead, driving design and delivery through cross-functional alignment and expert-level delegation.
- **Low-Level Mastery:** Deep understanding of GPU architectures (SMs, Warp scheduling, Tensor Cores).
- **The Toolkit:** Expert-level Triton or CUDA. If you’ve contributed to the Triton compiler or wrote custom CUDA kernels for a major LLM, we want you.
### **Compensation Range:**
- $191,200 - $239,000
*This is a remote role
JR: 2026-7625
_#LI-Remote_
### **Why You’ll Like Working for DigitalOcean**
- **We innovate with purpose.** You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- **We prioritize career development.** At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- **We care about your well-being.** Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- **We reward our employees.** The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- **DigitalOcean is an equal-opportunity employer.** We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
**Application Limit:** You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.