Solutions Architect – Data Science

🔥 1 minute ago

🇦🇺 Australia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

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

• Drive technical engagement with enterprise customers and partners across industries • Connect customer workloads to NVIDIA’s hardware and software ecosystem • Serve as a trusted technical advisor and support adoption and scaling of NVIDIA platforms • Manage technical partnerships and enablement with a strong presales focus • Help customers reimagine enterprise processes using Agentic AI on the NVIDIA platform • Provide technical engagement, enablement, proof-of-concept demonstrations, and executive relationship support • Engage developers, scientific researchers, data scientists, IT managers, and senior leaders • Enable developers to adopt NVIDIA NeMo and NIM for generative AI offerings, platforms, and client services • Co-design scalable architectures with enterprise customers and partners, including technical direction, integration milestones, and deployment plans • Partner with Solutions Architects, engineering, product, and business teams to build full-stack generative AI solutions • Lead technical engagements, troubleshoot complex issues, and advocate for customer technical needs • Create and run proofs of concept and demonstrations, including Python data pipelines, AI/deep-learning model training, and container-based deployment • Build training for partners and Solutions Architects and write whitepapers, blogs, and wiki articles • Partner with APAC regional and headquarters engineering, product, and sales teams to develop solutions • Run NVIDIA Deep Learning Institute and Skills Transfer sessions for customers, OEMs, and partners

🎯 Requirements

• Professional, long-term experience as a Data Scientist focused on AI/DL/ML developing or supporting customer-facing projects • Experience with computer vision, conversational AI, or data analytics technologies • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, another Engineering or related field, or equivalent experience • Strong customer-facing, presales, consulting, and technical experience with AI/ML/Big Data frameworks • 5+ years of work-related experience in deep learning, data science, or software development • Knowledge of parallel computing with GPUs • Strong development experience with RAG and workflows for Agentic AI applications • Experience with LangChain and LangGraph orchestrating LLMs • Working experience with Kubernetes and data-centre compute, storage, and networking • Clear written and oral communication skills • Ability to collaborate with management and engineering and share knowledge with clients, partners, and co-workers • Ability to work remotely and plan effectively while partnering with a small team • Experience leading technical teams with partners or customers, or consulting/advisor experience in AI is advantageous • AI/Data Science project management and stakeholder coordination experience is advantageous • Experience with NVIDIA SDK platform, NeMo, NIM, ML/DL frameworks, and MLOps tools is advantageous • Experience with cloud-based solution design, APIs, microservices, orchestration platforms, storage solutions, and data migration techniques is advantageous

🏖️ Benefits

• Equal opportunity employer committed to fostering a diverse work environment • Professional growth and continuous learning opportunities • Knowledge sharing across the team • Remote work arrangement