Senior Cloud Solutions Engineer

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July 2

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Lambda

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Artificial Intelligence • SaaS • Hardware

Lambda is a company that provides cloud-based solutions and hardware for AI development. They offer on-demand GPU clusters for multi-node training and fine-tuning, as well as inference endpoints and APIs. Their products include the Lambda GPU Cloud, which features NVIDIA's latest generation of infrastructure for enterprise AI, and customizable GPU workstations and desktops designed for AI and deep learning. Lambda also offers a one-line installation and managed upgrade path for machine learning tools like PyTorch, TensorFlow, and NVIDIA CUDA. By focusing on enabling AI developers, Lambda provides both public and private cloud services with access to powerful NVIDIA Tensor Core GPUs.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🔧 Hardware

💰 $39.7M Venture Round on 2022-11

📋 Description

• Advocate for Lambda’s Products • Develop and maintain expertise in Lambda’s cloud products and services • Demonstrate Lambda’s software and solutions to customers, partners and staff • Create field enablement materials for technical audience, lead workshops and support product advocacy efforts • Provide technical feedback from customers to Lambda’s product and marketing teams • Own the technical side of Lambda’s sales process. • Partner with Lambda account executives to drive customer adoption and ensure successful delivery • Evaluate and assess customers needs to deeply understand pain-points, bottlenecks and expected outcomes • Recommend appropriate cloud services and configurations to design a cohesive solution that supports the customers applications and workflow • Document proposal and designs in formats including but not limited to presentations, white-papers, visuals, Bill of Materials and rack elevations • Demonstrate expertise on Lambda’s cloud infrastructure • Build structured and purposeful learning into your work routine • Develop and support internal Lambda community as a subject matter expert • Be an expert at deploying AI/ML workloads on Lambda cloud • Stay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resources • Develop high quality processes and documentation • Reinforce Lambda’s culture • Contribute positively throughout the organization • Maintain a high level of agility and responsiveness • Hyper-focused on customer satisfaction

🎯 Requirements

• Have 8+ years of experience designing, deploying and scaling cloud infrastructure • Have 4+ years of experience as a solutions architect or consultative capacity supporting cloud infrastructure and services • Have 3+ years of experience working with cloud-based AI/ML services • Have deep knowledge of the ML ecosystem, including common models, practical use cases, and supporting tools • Have experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible and Terraform • Have deep knowledge of cloud infrastructure, security, networking, and cost optimization techniques • Have experience coding in Python, C# or similar programming language • Have experience developing with NVIDIAs GPUs • Have led complex technical projects with diverse stakeholders • Have demonstrated impact at an organizational/multi-departmental level • Have experience leading complex cloud deals, influencing C-level stakeholders, and mentoring junior SEs or architects • Thrive in dynamic settings and embrace radical ownership of initiatives and outcomes

🏖️ Benefits

• Health, dental, and vision coverage for you and your dependents • Wellness and Commuter stipends for select roles • 401k Plan with 2% company match (USA employees) • Flexible Paid Time Off Plan that we all actually use