Developer Relations Advocate – Cloud
About the Company Our client is a leading technology company specializing in AI-centric cloud infrastructure, which is reshaping the landscape of artificial intelligence. The company operates one of the most powerful commercially available supercomputers and provides scalable AI cloud infrastructure optimized for AI/ML workloads, leveraging thousands of NVIDIA GPUs, high-performance InfiniBand networking, and managed Kubernetes or Slurm orchestration. Company type: Publicly traded Preferred candidate location: Remote (US) The Mission Our client’s mission is to democratize access to advanced AI infrastructure, empowering researchers and innovators to advance machine learning capabilities. Their goal is to deliver an affordable, intuitive platform that speeds up AI development across sectors, while supporting developers and organizations with high-performance GPU compute resources and environmentally conscious data center solutions. The Opportunity As a Developer Relations Advocate – Cloud , you’ll be the technical voice and hands-on enabler for the AI and ML developer community, helping them unlock the full potential of VMs, GPU clusters, orchestration tools, and optimized ML infrastructure . This role is ideal for a passionate communicator who is eager to translate next-generation infrastructure into actionable insights, and shape the way developers interact with AI-focused cloud products. What You'll Do Create and share technical content showcasing real-world usage of VMs, GPU clusters, Kubernetes, SLURM, and platform orchestration for diverse AI/ML workloads Develop sample code, tutorials, demos, and best-practice reference architectures for cloud-native and ML engineering scenarios Represent our client as a speaker, presenter, and mentor at conferences, hackathons, and developer communities Engage actively across online platforms, social media, and community forums, guiding, supporting, and learning from the developer ecosystem Organize and lead workshops, webinars, and hands-on technical training on optimizing AI infrastructure. Author blog posts, deep dives, and video tutorials that help technical audiences get the most out of advanced AI-cloud capabilities Serve as a bridge between developers and internal product teams, collecting feedback, identifying pain points, and influencing platform improvements Contribute to documentation, onboarding, and knowledge base resources to accelerate user success What You Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience 3+ years of experience in a technical development, cloud engineering, or DevOps role. Demonstrated hands-on expertise with cloud platforms, infrastructure as code, and containerized environments Experience using and optimizing distributed compute resources, including virtual machines, Kubernetes, SLURM, and GPU clusters for machine learning Proficiency in Python; strong familiarity with the PyTorch ecosystem Solid grasp of networking, storage optimization, and resource management in cloud environments. Proven ability to explain complex technical topics through writing, presentations, or training Excellent communication with strong collaboration skills across product, engineering, and marketing teams Self-direction, adaptability, and comfort in a fast-changing, ambiguous environment Legal authorization to work in the U.S. on a full-time basis without visa sponsorship Bonus: Involvement in developer communities, open-source contributions, or public technical forums Key Success Drivers Passion for AI and cloud computing Strong network and ability to connect with the right audiences in the AI/ML ecosystem Confident and articulate communication Effective collaboration across different departments, cultures, and time zones High ethical standards with a commitment to responsible AI development Continuous learner: Stays on top of AI and cloud computing trends; seeks growth. Why Join? Competitive compensation: $175,000 - $250,000 OTE plus equity. Full health benefits: 100% company-paid medical, dental, and vision for employees and families. Wellness & financial support: 401(k) plan with 4% match, stock options, life/disability insurance, up to $85/month internet/mobile stipend. Work-life balance: Flexible remote work , generous parental leave (20 weeks primary/12 weeks secondary caregiver). State-of-the-art technology: Work with the latest NVIDIA GPUs (H100, L40S, upcoming H200/Blackwell), and contribute to operating one of the world’s most powerful commercial supercomputers. Sustainable mission: Actively participate in projects that utilize energy-efficient data centers and contribute to community-focused sustainability. Growth and innovation: Experience the culture and agility of a startup, with the backing and resources of an established enterprise. Learning environment: Collaborate with high-caliber engineers, AI researchers, and thought leaders at the forefront of cloud and ML infrastructure. Interviewing Process HR screening Level 1: Virtual interview with the Technical Recruitment Lead (Screening) Level 2: Virtual interview with the Hiring Manager (In-depth interview) Level 3: Technical Assessment (Final) Reference and Background Checks (upon successful interviews) Job Offer (to selected candidate) We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $175K - $250K Originally posted on Himalayas