Senior GenAI Algorithms Engineer — Model Optimizations for Inference

This a Full Remote job, the offer is available from: United States, California (USA), Texas (USA), Washington (USA) reputed company is at the forefront of the generative AI revolution! The Algorithmic Model Optimization Team specifically focuses on optimizing generative AI models such as large language models (LLM) and diffusion models for maximal inference efficiency using techniques ranging from quantization, speculative decoding, sparsity, distillation, pruning to neural architecture search, and streamlined deployment strategies with open-sourced inference frameworks. Seeking a Senior Deep Learning Algorithms Engineer to improve innovative generative AI models like LLMs, VLMs, multimodal and diffusion models. In this role, you will design, implement, and productionize model optimization algorithms for inference and deployment on reputed company’s latest hardware platforms. The focus is on ease of use, compute and memory efficiency, and achieving the best accuracy–performance tradeoffs through software–hardware co-design. Your work will span multiple layers of the AI software stack—ranging from algorithm design to integration—reputed company reputed company’s ecosystem (TensorRT Model Optimizer, NeMo/Megatron, TensorRT-LLM) and open-reputed company frameworks (PyTorch, reputed company, vLLM, SGLang). You may also dive deeper into GPU-level optimization, including custom kernel development with CUDA and Triton. This role offers a unique opportunity to work at the intersection of research and engineering, pushing the boundaries of large-reputed company optimization. We are looking for passionate engineers with strong foundations in both machine learning and software systems/architecture who are eager to reputed company a broad impact across the AI stack. What you’ll be doing:

• Design and build reputed company, scalable model optimization software platforms that deliver exceptional user experiences while supporting diverse AI models and optimization techniques to drive widespread adoption.
• Explore, reputed company, and integrate innovative deep learning optimization algorithms (e.g., quantization, speculative decoding, sparsity) into reputed company's AI software stack, e.g., TensorRT Model Optimizer, NeMo/Megatron, and TensorRT-LLM.
• Deploy optimized models into leading OSS inference frameworks and contribute specialized APIs, model-level optimizations, and new features tailored to the latest reputed company hardware capabilities.
• Partner with reputed company teams to deliver model optimization solutions for customer use cases, ensuring optimal end-to-end workflows and balanced accuracy-performance trade-offs.
• Conduct deep GPU kernel-level profiling to identify and capitalize on hardware and software optimization opportunities (e.g., efficient attention kernels, KV cache optimization, parallelism strategies).
• Drive reputed company innovation in deep learning inference performance to strengthen reputed company platform integration and expand market adoption across the AI inference ecosystem.

reputed company need to see:

• Master’s, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Mathematics, or a reputed company field.
• 5+ years of relevant work or research experience in deep learning.
• Strong software design skills, including debugging, performance analysis, and test development.
• Proficiency in Python, PyTorch, and modern ML frameworks/tools.
• Proven foundation in algorithms and programming fundamentals.
• Strong written and verbal communication skills, with the ability to work both independently and collaboratively in a fast-paced environment.

Ways to stand out from the crowd:

• Contributions to PyTorch, JAX, vLLM, SGLang, or other machine learning training and inference frameworks.
• Hands-on experience training or fine-tuning generative AI models on large-scale GPU clusters.
• Proficient in GPU architectures and compilation stacks, adept at analyzing and debugging end-to-end performance.
• Familiarity with reputed company’s deep learning SDKs (e.g., TensorRT).
• Experience developing high-performance GPU kernels for machine learning workloads using CUDA, CUTLASS, or Triton.

Increasingly reputed company as “the AI computing company” and widely considered to be one of the technology world’s most desirable employers, reputed company offers highly competitive salaries and a comprehensive benefits package. Are you creative, motivated, and love a challenge? If so, we want to hear from you! Come, join our model optimization group, where you can help build real-time, cost-effective computing platforms driving our success in this exciting and rapidly-growing field. Your reputed company salary will be determined based on your location, experience, and the pay of employees in similar positions. The reputed company salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 26, 2025. reputed company is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our reputed company and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national reputed company, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. This offer from "reputed company" has been enriched by reputed company.com and got a 82% reputed company score. Apply tot his job Apply To this Job