Senior Solutions Architect – Simulations, Clinical Sciences, Autonomous Lab

🕒 Maio 16

🏄 California, Massachusetts – Remoto

🏄 California – Remote 🍂 Massachusetts – Remote

💵 $184.000 - $356.500 / ano

⏰ Tempo Integral

🟠 Sênior

💻 Engenheiro de Soluções

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NVIDIA

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1993

🏥 Saúde

🏭 Manufatura

🤖 Inteligência Artificial

Healthcare • Manufacturing • Artificial Intelligence

A NVIDIA é uma empresa de tecnologia líder, especializada em computação acelerada e inteligência artificial. A companhia é pioneira em avanços em unidades de processamento gráfico (GPUs), computação em nuvem, data centers e realidade virtual, com foco nos setores de games, automotivo, saúde e robótica. As inovações da empresa, como o NVIDIA Omniverse, transformam processos digitais tradicionais ao viabilizar simulações de alta fidelidade e tarefas de renderização. Suas aplicações abrangem diversos setores, desde veículos autônomos com o NVIDIA DRIVE até soluções de saúde com o NVIDIA Clara, além de análises e fluxos de trabalho impulsionados por IA.

Descrição

• Guide customers through the end-to-end adoption of GPU-accelerated AI, from requirements gathering and proof-of-concept development to deployment, integration, and ongoing optimization. • Architect libraries such as GPU-accelerated solvers for quantitative systems pharmacology and CPU-to-GPU migration of scientific workloads. • Perform low-level CUDA optimization, including custom kernels to accelerate simulation and inference workloads in drug discovery. • Building physical AI and robotics solutions for autonomous labs and biomanufacturing such as sim-to-real VLA pipelines, real-time control layers, and integration of perception, control, and policy stacks on NVIDIA platforms. • Designing and deploying biomedical agentic AI systems, such as graph-based retrieval, multi-hop clinical reasoning, and persistent agent memory. • Keeping up to date on AI advancements in healthcare, including domain-specific models, robotics, and agentic frameworks. • Engaging with life science executives, IT leaders, data scientists, and developers to drive adoption of NVIDIA AI stack. • Sharing findings through training sessions, white papers, blog posts, and conference talks.

🎯 Requisitos

• MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational Chemistry, Robotics, or related fields with strong applied experience. • 8+ years of experience. • Proven track record in software development for AI/ML, scientific computing, GPU acceleration, or robotics applied to healthcare or life sciences. • Hands-on experience across at least two of the three focus areas: GPU-accelerated scientific simulation, sim-to-real robotics, and end-to-end agentic AI. • Proficiency in Python and AI/ML frameworks (PyTorch, LangChain, or custom). • Experience with C/C++ and CUDA strongly preferred. • Experience deploying and scaling GPU-accelerated solutions in cloud or HPC environments (OCI, AWS, Azure, or on-prem clusters). • Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. • Up to 20% travel may be required for on-site customer engagements.

🏖️ Benefícios

• Eligible for equity and benefits