Jobs at DigitalOcean (Now Hiring) — 122 open — Page 4

Staff Engineer, Inference Optimizations

Denver, Colorado, United States · Remote OK

$191k–$239k/yr

Senior$2.7B raised

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, natura…

Skills: Triton, CUDA, ROCm, TensorRT, GPU Architecture

DigitalOcean

Staff Engineer, Inference Optimizations

Boston, Massachusetts, United States · Remote OK

$191k–$239k/yr

Senior$2.7B raised

Skills: Triton, CUDA, ROCm, TensorRT, GPU Architecture

DigitalOcean

Staff Engineer, Inference Optimizations

Austin, Texas, United States · Remote OK

$191k–$239k/yr

Senior$2.7B raised

Skills: Triton, CUDA, ROCm, TensorRT, GPU Architecture

DigitalOcean

Staff Engineer, Inference Optimizations

San Francisco, California, United States · Remote OK

$191k–$239k/yr

Senior$2.7B raised

Skills: Triton, CUDA, ROCm, TensorRT, GPU Architecture

DigitalOcean

Senior Engineer, Inference Data Plane

Seattle, Washington, United States · Hybrid

$139k–$174k/yr

Senior$2.7B raised

Skills: GoLang, Python, gRPC, vLLM, Kubernetes

DigitalOcean

Senior Software Engineer I - AI Inference Data Plane

Austin, Texas, United States · Remote OK

$139k–$174k/yr

Senior$2.7B raised

Skills: GoLang, Python, gRPC, vLLM, Kubernetes

DigitalOcean

Senior Engineer, Inference Data Plane

Denver, Colorado, United States · Remote OK

$139k–$174k/yr

Senior$2.7B raised

Skills: GoLang, Python, gRPC, vLLM, Kubernetes

DigitalOcean

Senior Engineer, Inference Data Plane

Boston, Massachusetts, United States · Remote OK

$139k–$174k/yr

Senior$2.7B raised

Skills: GoLang, Python, gRPC, vLLM, Kubernetes

DigitalOcean

Senior Software Engineer I - AI Inference Data Plane

San Francisco, California, United States · Remote OK

$139k–$174k/yr

Senior$2.7B raised

Skills: GoLang, Python, gRPC, vLLM, Kubernetes

DigitalOcean

Senior Data Center Engineer

Atlanta, Georgia, United States · On-site

$106k–$132k/yr

Senior$2.7B raised

Skills: Data Center Infrastructure, Racking and Stacking, Linux OS, Bash Scripting, GPU Hardware Troubleshooting

DigitalOcean

Senior Software Engineer II - Action Infrastructure - Action Runtime

Seattle, Washington, United States · Hybrid

$184k–$231k/yr

Senior$2.7B raised

Skills: Go, TypeScript, Python, AI Agent Tooling, MCP

DigitalOcean

Staff Product Manager

Seattle, Washington, United States · Hybrid

$186k–$233k/yr

Senior$2.7B raised

Skills: Product Management, Cloud-Native Data Platforms, Vector Databases, Knowledge Bases, RAG Workflows

DigitalOcean

Senior Director, Inference Products and Optimizations

Seattle, Washington, United States · Hybrid

$274k–$343k/yr

Senior+$2.7B raised

Skills: Distributed Systems Design, LLM Inference, Kubernetes, GPU Architecture, vLLM

DigitalOcean

Senior Director, Inference Products and Optimizations

San Francisco, California, United States · Remote OK

$274k–$343k/yr

Senior+$2.7B raised

Skills: Distributed Systems Design, LLM Inference, Kubernetes, GPU Architecture, Model Optimization

DigitalOcean

Senior Technical Account Manager, AI/ML

Seattle, Washington, United States · Remote OK

$141k–$176k/yr

Senior$2.7B raised

Skills: Cloud Infrastructure, Linux, Distributed Systems, Automation, Python

DigitalOcean

Strategic Technical Account Manager (TAM)

Singapore · Remote OK

Senior$2.7B raised

Skills: Strategic Relationship Management, Cloud Architecture, AI/ML Infrastructure, GPU Orchestration, Linux Systems

DigitalOcean

Principal Product Manager, Agentic AI Infrastructure

Seattle, Washington, United States · Hybrid

$215k–$269k/yr

Senior+$2.7B raised

Skills: Product Strategy, Cloud Infrastructure, Agentic AI, Developer Experience, API Design

DigitalOcean

Senior Engineering Manager, Security Products

Seattle, Washington, United States · Hybrid

$201k–$251k/yr

Senior+$2.7B raised

Skills: Engineering Management, Identity And Access Management, Go, JavaScript, Node.js

DigitalOcean

Senior Engineering Manager, Security Products

Boston, Massachusetts, United States · Remote OK

$201k–$251k/yr

Senior+$2.7B raised

Skills: Identity And Access Management, Go, JavaScript, Node.js, Kubernetes

DigitalOcean

Principal Product Manager, Inference Engine

Seattle, Washington, United States · Hybrid

$218k–$273k/yr

Senior+$2.7B raised

Skills: Product Strategy, Cloud Infrastructure, Agentic AI Systems, Developer Platforms, API Design

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.

Jobs at DigitalOcean (Now Hiring) — 122 open — Page 4

Staff Engineer, Inference Optimizations

Staff Engineer, Inference Optimizations

Staff Engineer, Inference Optimizations

Staff Engineer, Inference Optimizations

Senior Engineer, Inference Data Plane

Senior Software Engineer I - AI Inference Data Plane

Senior Engineer, Inference Data Plane

Senior Engineer, Inference Data Plane

Senior Software Engineer I - AI Inference Data Plane

Senior Data Center Engineer

Senior Software Engineer II - Action Infrastructure - Action Runtime

Staff Product Manager

Senior Director, Inference Products and Optimizations

Senior Director, Inference Products and Optimizations

Senior Technical Account Manager, AI/ML

Strategic Technical Account Manager (TAM)

Principal Product Manager, Agentic AI Infrastructure

Senior Engineering Manager, Security Products

Senior Engineering Manager, Security Products

Principal Product Manager, Inference Engine

Staff Engineer, Inference Optimizations

Tired of cold applications?

Responsibilities

Requirements

Full job description

What You’ll Do:

What You’ll Bring to DigitalOcean:

Compensation Range:

Why You’ll Like Working for DigitalOcean

Related keywords

About DigitalOcean

About DigitalOcean

Similar companies hiring

Tools

Explore

Platform

Clera

Tools

Explore

Platform

Clera