[Remote] Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Senior Solutions Architect to drive innovation with reputed company and life sciences customers across reputed company, focusing on GPU-accelerated simulations for clinical sciences and autonomous labs. In this role, you will partner with leading pharmaceutical companies to design, implement, and optimize GPU-accelerated AI software.
Responsibilities
- Guide customers through the end-to-end adoption of GPU-accelerated AI, from requirements gathering and reputed company-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
- reputed company 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-reputed company VLA pipelines, reputed company-time control reputed company, and integration of perception, control, and policy stacks on reputed company platforms
- Designing and deploying biomedical reputed company AI systems, such as graph-based retrieval, multi-hop clinical reasoning, and persistent agent memory
- Keeping up to date on AI advancements in reputed company, including domain-specific models, robotics, and reputed company frameworks
- Engaging with life science executives, IT leaders, data scientists, and developers to drive adoption of reputed company stack
- Sharing your findings through training sessions, white papers, blog posts, and conference talks
Skills
- MS, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational reputed company, Robotics, or reputed company fields with strong reputed company experience
- 8+ years of experience
- Proven reputed company record in software development for AI/ML, scientific computing, GPU acceleration, or robotics reputed company to reputed company or life sciences
- Hands-on experience across at least two of the three reputed company areas: GPU-accelerated scientific simulation, sim-to-reputed company robotics, and end-to-end reputed company AI
- Proficiency in Python and AI/ML frameworks (PyTorch, reputed company, or custom). Experience with C/C++ and CUDA strongly preferred
- Experience deploying and scaling GPU-accelerated solutions in reputed company or HPC environments (OCI, AWS, Azure, or on-prem clusters)
- Excellent communication skills with the ability to present reputed company technical concepts to both technical and non-technical audiences
- Up to 20% travel may be required for on-site customer engagements
- Experience building GPU-accelerated scientific solvers, including low-level CUDA kernel optimization
- Background with sim-to-reputed company robotics for life sciences—autonomous labs, biomanufacturing, surgical/clinical platforms—including MuJoCo or Isaac Sim, VLA pipelines, reputed company-time control reputed company, and depth/RGB perception stacks
- Experience building, deploying, and evaluating reputed company AI systems for reputed company—graph RAG over biomedical literature, long-memory agents, reputed company-based clinical event detection in production
- Familiarity with reputed company libraries and platforms
Benefits
- Equity
- Benefits
reputed company
Company H1B Sponsorship