Remote Developer Relations Advocate – Cloud

Description:

• The Developer Relations Advocate – Cloud will serve as the technical voice and hands-on enabler for the AI and ML developer community.
• This role involves helping developers unlock the full potential of VMs, GPU clusters, orchestration tools, and optimized ML infrastructure.
• Responsibilities include creating and sharing technical content that showcases real-world usage of VMs, GPU clusters, Kubernetes, SLURM, and platform orchestration for diverse AI/ML workloads.
• The advocate will develop sample code, tutorials, demos, and best-practice reference architectures for cloud-native and ML engineering scenarios.
• The role requires representing the company as a speaker, presenter, and mentor at conferences, hackathons, and developer communities.
• Engaging actively across online platforms, social media, and community forums to guide and support the developer ecosystem is essential.
• Organizing and leading workshops, webinars, and hands-on technical training on optimizing AI infrastructure is part of the job.
• The advocate will author blog posts, deep dives, and video tutorials to help technical audiences maximize advanced AI-cloud capabilities.
• Serving as a bridge between developers and internal product teams to collect feedback, identify pain points, and influence platform improvements is crucial.
• Contributing to documentation, onboarding, and knowledge base resources to accelerate user success is also expected.

Requirements:

• A Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent practical experience is required.
• Candidates must have 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 is necessary.
• Experience using and optimizing distributed compute resources, including virtual machines, Kubernetes, SLURM, and GPU clusters for machine learning is required.
• Proficiency in Python and strong familiarity with the PyTorch ecosystem are essential.
• A solid grasp of networking, storage optimization, and resource management in cloud environments is needed.
• Proven ability to explain complex technical topics through writing, presentations, or training is a must.
• Excellent communication skills with strong collaboration abilities across product, engineering, and marketing teams are required.
• Candidates should demonstrate 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 is mandatory.
• Bonus points for involvement in developer communities, open-source contributions, or public technical forums.

Benefits:

• The position offers competitive compensation ranging from $175,000 to $250,000 OTE plus equity.
• Full health benefits are provided, including 100% company-paid medical, dental, and vision for employees and their families.
• Wellness and financial support includes a 401(k) plan with a 4% match, stock options, life/disability insurance, and an up to $85/month internet/mobile stipend.
• The company promotes work-life balance with flexible remote work options and generous parental leave (20 weeks for primary caregivers and 12 weeks for secondary caregivers).
• Employees will work with state-of-the-art technology, including the latest NVIDIA GPUs and contribute to operating one of the world’s most powerful commercial supercomputers.
• The company is committed to sustainability, allowing employees to participate in projects that utilize energy-efficient data centers.
• Employees will experience a culture of growth and innovation, akin to a startup, with the backing and resources of an established enterprise.
• The role provides a learning environment where employees can collaborate with high-caliber engineers, AI researchers, and thought leaders at the forefront of cloud and ML infrastructure.