
1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
🕒 March 17
🏄 California – Remote
💵 $167.2k - $209k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2011
☁️ SaaS
SaaS • Cloud Computing
DigitalOcean is a cloud infrastructure provider that offers a suite of products and services for developers to build, deploy, and scale applications. Their platform provides comprehensive tutorials, reference material, and support documentation to assist users in managing resources effectively using their API and CLI tools. With features like Droplets (virtual machines), managed databases, Kubernetes, and a marketplace for third-party applications, DigitalOcean focuses on simplicity and performance. They cater to both individual developers and larger organizations looking for cloud solutions that are easy to implement and manage.
• Lead the technical strategy for benchmarking and performance optimizations • Engineer solutions for complex performance issues • Implement cutting-edge optimization techniques • Act as the subject matter expert on modern GPU families • Lead by example through high-quality code and design reviews • Partner with Product Management and TPMs to translate theoretical limits into shippable product features • Maintain a strong presence in the GPU infrastructure and optimization communities
• 5+ years of experience in high-performance computing or AI infrastructure • Deep familiarity with the Gen AI (LLM, VLM, LMM) landscape • Hands-on experience with attention-layer optimizations • Comprehensive understanding of NVIDIA and AMD GPU architectures • Extensive experience integrating, building with, and contributing to open-source software projects • Excellent system design skills related to low-level GPU programming • Experience acting as a technical lead
• Competitive salary • Flexible working hours • Professional development opportunities • Employee Assistance Program • Equity compensation • Reimbursement for relevant conferences, training, and education • Access to LinkedIn Learning's 10,000+ courses
Apply Now🕒 March 17
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