Senior Solutions Architect – Simulations, Clinical Sciences, Autonomous Lab

🕒 il y a 21 jours

🏄 California, Massachusetts – Distant

🏄 California – Remote 🍂 Massachusetts – Remote

💵 $184 000 - $356 500 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

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NVIDIA

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1993

🤖 Intelligence artificielle

🎮 Jeux vidéo

Artificial Intelligence • Gaming • Automotive

NVIDIA est une entreprise technologique de premier plan, spécialisée dans le calcul accéléré et l’intelligence artificielle (IA). NVIDIA est à l’avant‑garde des avancées en GPU (processeurs graphiques), cloud computing, centres de données et réalité virtuelle, avec un accent particulier sur les secteurs du gaming, de l’automobile, de la santé et de la robotique. Ses innovations, telles que NVIDIA Omniverse, transforment les processus numériques traditionnels en permettant des simulations haute fidélité et des tâches de rendu de pointe. Ses applications couvrent de nombreux secteurs, des véhicules autonomes avec NVIDIA DRIVE aux solutions de santé avec NVIDIA Clara, ainsi que des analyses et workflows pilotés par l’IA.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• Eligible for equity and benefits