Solutions Architect – Drug Discovery

Job not on LinkedIn

🔥 0 minutes ago

🏄 California, Massachusetts – Remote

🏄 California – Remote 🍂 Massachusetts – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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

• Partner with business and account teams to understand customer goals, scientific workflows, technical needs, and platform adoption strategies • Architect and optimize AI/ML pipelines for training large biological foundation models, focusing on BioNeMo libraries and GPU-accelerated software • Build proof-of-concept demonstrations showing how NVIDIA software and hardware accelerate scientific discovery • Collaborate with subject matter experts, engineering, product, and field teams to deliver high-impact customer solutions • Document best practices and teach others through technical enablement, partner training, whitepapers, blogs, internal wiki articles, and hands-on customer workshops • Serve as a trusted technical advisor integrating NVIDIA technologies into advanced biopharma and diagnostics applications

🎯 Requirements

• MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, Computer Science, or a related technical field (or equivalent experience) • 5+ years of experience in software development for deep learning, GPU acceleration, or scientific computing applications • Hands-on experience applying ML to at least one of: genomics, quantum chemistry, biomaterials science, or structural biology • Experience profiling and optimizing training workflows for large AI models, including performance tuning, distributed training, data pipelines, and GPU utilization • Proficiency with Linux environments • Experience working in HPC or accelerated computing environments, including Slurm and/or Kubernetes-based clusters • Excellent communication skills for presenting highly technical material to scientists, engineers, executives, and customer stakeholders • Passion for working with forward-thinking customers, learning continuously, and staying at the forefront of AI for life sciences • Background with BioNeMo, NeMo, or related NVIDIA frameworks (standout) • Experience with Parabricks, RAPIDS-singlecell, ALCHEMI, cuEquivariance, cuEST, or related accelerated libraries (standout) • Experience working with pharmaceutical or biotech companies (standout) • Customer-facing technical leadership, including architecture reviews, executive briefings, technical workshops, or deployments at lighthouse accounts (standout)

🏖️ Benefits

• Equity • Benefits