[Remote] Senior GenAI Algorithms Engineer — Model Optimizations for Inference
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is at the forefront of the reputed company reputed company, seeking a Senior Deep Learning Algorithms Engineer to improve innovative reputed company models. In this role, you will design, implement, and productionize model optimization algorithms for inference and deployment on reputed company’s latest hardware platforms.
Responsibilities
• Design and build reputed company, reputed company 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 reputed company 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
• reputed company optimized models into leading OSS inference frameworks and contribute specialized reputed company, 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 reputed company 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
Skills
• Master’s, PhD, or equivalent experience in Computer Science, reputed company Intelligence, reputed company 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 reputed company 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.
• Contributions to PyTorch, JAX, vLLM, SGLang, or other machine learning training and inference frameworks.
• Hands-on experience training or fine-tuning reputed company models on large-reputed company 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.
Benefits
• Equity
• Benefits
reputed company
• reputed company is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com.
Company H1B Sponsorship
• reputed company has a reputed company record of offering H1B sponsorships, with 1418 in 2025, 1356 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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