Senior Deep Learning Software Engineer, Inference

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections with real content. No job title heading. No metadata like Job ID. Remove boilerplate like EEO, equal opportunity, scam warning, application instructions, navigation, cookie, legal. Also remove duplicated lines. Must preserve all substantive info. Let's parse the posting: - Intro: "NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines." That's about the role. Could be "About the role" or maybe "Responsibilities". Then "What You'll Be Doing" bullet list: Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. Scale performance of DL models across different architectures and types of NVIDIA accelerators. Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions. Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions. That's responsibilities. Then "What We Need To See": Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI). 5+ years of relevant software development experience. You'll need excellent C/C++ programming and software design skills. SW Agile skills are helpful and Python experience is a plus. Prior experience with training, deploying or optimizing the inference of DL models in production is a plus. Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus. GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. That's qualifications/requirements. Then "Ways to Stand out from The Crowd": Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field. Experience with Multi GPU Communications (NCCL, NVSHMEM). That's maybe "Skills" or "Preferred qualifications". Then "With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits." That's Pay and Benefits. Also mention equity. Then "Applications for this job will be accepted at least until August 31, 2026." That's application instruction; we should remove. Then "This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law." That's EEO boilerplate; remove. Then ", , JR2003655" maybe job ID; remove. Thus sections: - About the role: intro paragraph(s) describing role. - Responsibilities: bullet list from "What You'll Be Doing". - Requirements: maybe "What We Need To See" (mandatory). Could split into Requirements and Qualifications? The instruction says use headings like Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to decide which sections to include based on content. We have mandatory qualifications: Masters/PhD or equivalent, 5+ years experience, excellent C/C++ programming and software design skills. Those are requirements. Then plus items: SW Agile helpful, Python experience a plus, prior experience with training/deploying/optimizing inference of DL models in production is a plus, prior background with performance modeling, profiling, debug, code optimization or architectural knowledge of CPU and GPU is a plus, GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. Those could be "Preferred Qualifications" or "Skills". We could put them under "Skills" or "Qualifications". Since we have both Requirements and Qualifications headings allowed, we could put mandatory under Requirements, plus under Qualifications. Then "Ways to stand out" could be Skills or maybe also Qualifications. Could treat as Skills. Then Benefits: mention comprehensive benefits package, equity. Pay: salary ranges. Schedule: not mentioned; we should not create Schedule section because no content. Thus output HTML with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay. We need to use

for each section heading. Use

• for any list of duties/requirements/benefits. Use

  for prose. We must not repeat job title as heading. No Job ID. We must preserve all substantive information; do not invent or summarize away detail. So we need to keep all details: mention specific tools, frameworks, etc. Let's craft. About the role: combine intro paragraphs into maybe two paragraphs? Could be one

  containing all. Ensure we keep all details: NVIDIA seeks Senior Software Engineer specializing in Deep Learning Inference... etc. We'll include all sentences. Responsibilities: bullet list from "What You'll Be Doing". Items: - Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI. - Scale performance of DL models across different architectures and types of NVIDIA accelerators. - Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions. - Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions. We need to keep exact phrasing? The posting: "Performance optimization, analysis, and tuning of DL models in various domains like LLM, Multimodal and Generative AI.Scale performance of DL models across different architectures and types of NVIDIA accelerators.Contribute features and code to NVIDIA’s inference libraries, vLLM and SGLang, FlashInfer and LLM software solutions.Work with cross-collaborative teams across frameworks, NVIDIA libraries and inference optimization innovative solutions." There are missing spaces after periods; but we should preserve content; we can add spaces for readability but not change meaning. Probably okay to format nicely. Requirements: mandatory: - Masters or PhD or equivalent experience in relevant field (Computer Engineering, Computer Science, EECS, AI). - 5+ years of relevant software development experience. - Excellent C/C++ programming and software design skills. We could also include "SW Agile skills are helpful and Python experience is a plus." but that's plus; maybe put under Qualifications. Qualifications (preferred): - SW Agile skills are helpful and Python experience is a plus. - Prior experience with training, deploying or optimizing the inference of DL models in production is a plus. - Prior background with performance modeling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU is a plus. - GPU programming experience (CUDA, OAI TRITON or CUTLASS) is a plus. Skills (ways to stand out): - Contribute to deep learning software projects, such as PyTorch, vLLM, and SGLang to drive advancements in the field. - Experience with Multi GPU Communications (NCCL, NVSHMEM). Benefits: mention comprehensive benefits package, equity. Also maybe mention "highly competitive salaries" but that's Pay. Benefits: "With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers." Also "You will also be eligible for equity and benefits." So we can combine: comprehensive benefits package, equity. Pay: salary ranges: base salary range 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. Also mention base salary determined based on location, experience, and pay of employees in similar positions. Also equity. We should not include application deadline. Now produce HTML. Structure:

  About the role

  ...

  Responsibilities

  • ...
  ...

  Requirements

  • ...
  ...

  Qualifications

  • ...
  ...

  Skills

  • ...
  ...

  Benefits

  ...

  Pay

  ...

  Make sure no extra sections. Check for any repeated content: ensure we didn't miss any substantive info like "You'll bring to bear open-source tools and plugins—including CUTLASS, OAI Triton, NCCL, and CUDA kernels—to implement and optimize model serving pipelines." That's part of About the role; we should include that. Also "You'll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks." Include. Also "Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs." Include. Also "Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference." Include. Also "You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models." Include. Also "As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications." Include. Thus About the role paragraph should contain all those sentences. Let's craft About the role paragraph: NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that powers today’s most sophisticated AI applications. Our team is responsible for developing and maintaining high-performance open-source frameworks, which are at the forefront of efficient large-scale model serving and inference. You will play a central role in improving these platforms, facilitating smooth deployment and serving of groundbreaking language models. You’ll work closely with the deep learning community to implement the latest algorithms for public release in inference frameworks. Your work will focus on identifying and driving performance improvements for state-of-the-art LLM and Generative AI models across NVIDIA accelerators, from datacenter GPUs to edge SoCs. You'll