Senior Forward Deployed Engineer, Open Models

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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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 AI solutions from discovery and scoping through post-training, harness optimization, and deployment • Develop post-training and harness strategies with appropriate methods, data, evaluation, and success criteria • Design evaluations and build synthetic data pipelines • Perform post-training with LoRA and other parameter-efficient methods, supervised fine-tuning, and synchronous and asynchronous reinforcement learning • Make architecture and hyperparameter choices to improve results • Tune prompting, tool use, orchestration, and context management for domain-specific performance • Optimize inference for cost-effective production operation • Lead technical engagements by scoping work, shaping statements of work, and driving delivery with partner engineering teams and joint customers • Build reusable recipes, reference pipelines, and playbooks for partners • Connect NVIDIA model research to partner and customer use cases • Work with product, research, and engineering teams to bring field insights into Nemotron, Cosmos, and NVIDIA's software stack

🎯 Requirements

• Bachelor's, Master's, or PhD in Computer Science, Engineering, Machine Learning, or a related field, or equivalent experience • 8+ years in ML or software engineering, applied AI, FDE, or solutions architecture • 3+ years of hands-on LLM post-training and taking models to production • Solid fundamentals in deep learning and machine learning • Deep expertise in LoRA/PEFT, SFT, and reinforcement learning, including synchronous and asynchronous approaches • Strong grasp of model architectures and hyperparameters • Understanding of large-scale distributed training and inference performance optimization • Ability to configure and tune workloads for memory efficiency, throughput, latency, and scaling across multi-GPU and multi-node systems • Experience with synthetic data pipelines, dataset curation and filtering, and evaluation sets • Experience with harness engineering for LLM and agentic systems • Proficiency in PyTorch, Hugging Face Transformers, Python, and Linux • Proven ability to scope engagements, shape statements of work, and lead delivery with partners and customers • Excellent organizational skills and ability to drive complex decisions across teams and companies • Ability to communicate complex technical ideas to engineers and C-level executives • Strong problem-solving skills, intellectual curiosity, and commitment to partner and customer success

🏖️ Benefits

• Equity • Benefits

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