Solutions Architect – AI for Drug Discovery

🕒 May 7

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Support Business Development and Sales teams as part of a Team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers’ ecosystem success. • Work directly with developers and customers in a customer-facing setting • Guide customers in implementing production grade inference deployments, model training, reinforcement learning (RL), and post-training algorithms by helping them adopt NVIDIA AI SDKs and APIs. • Analyze application architectures and find opportunities for acceleration. • Document what you know and teach others e.g. by building targeted trainings for partners and other Solutions Architects, delivering hackathons and technical demonstrations on NVIDIA solutions and platforms, writing whitepapers or blogs, or simply working through hard problems with a customer on a whiteboard. • Explore the latest advancements in foundation model training and customization, agentic LLM applications and physical AI applications in biopharma. • Provide feedback and collaborate with engineering, product and research teams.

🎯 Requirements

• MS or PhD (or equivalent experience) in Computer Science, Computational Biology, Computational Chemistry or Biomedical Engineering with strong applied experience in these domains. • 5+ years of experience in software development related to AI/ML in healthcare or life sciences. • Background with accelerating scientific algorithms using parallel programming (e.g., using CUDA), or experience with distributed programming models for supercomputing applications, AI deployment/inference technologies (e.g. TensorRT) or optimization frameworks (e.g. cuOpt), is a plus. • Proficiency in Python and AI/ML frameworks (PyTorch, Langchain, or building custom framework). • Experience developing, training and customizing Transformer models for healthcare and life sciences applications, especially using libraries like Transformer Engine or Megatron-LM. • Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. • Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain

🏖️ Benefits

• NVIDIA is committed to fostering a diverse work environment • Proud to be an equal opportunity employer