AI Optimization Engineer

免费注册后解锁"你的匹配分 vs 高分画像"与个人技能缺口。

AI Optimization Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Optimization Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an AI Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated impact on production AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. Six or more years of experience in performance engineering, ML systems, or HPC. Strong proficiency in Python and C++. Hands-on experience optimizing deep learning workloads on modern GPUs. Deep understanding of distributed training and inference techniques. Experience with profiling tools across CPU, GPU, and distributed systems. Familiarity with model compression techniques and their accuracy implications. Strong grasp of memory hierarchies, communication primitives, and parallelism strategies. Excellent measurement, debugging, and analytical reasoning skills. Strong communication and collaboration skills. Preferred Qualifications Experience optimizing LLM inference at production scale. Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects. Familiarity with custom kernel authoring in Triton or CUTLASS. Experience with FinOps for AI workloads. Publications or talks on AI systems performance. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Originally posted on Himalayas

AI优化工程师 – 远程

Bright Vision Technologies是一家技术咨询和软件开发公司，在美国各地提供云、AI、数据和企业解决方案。这是一个绝佳的机会，可以加入一家成熟且备受尊敬的组织，获得巨大的职业发展潜力。

职位名称：AI优化工程师
工作地点：100%远程（美国）
职位类型：全职，直接W2
薪资范围：年薪$100,000
经验要求：6年以上
签证担保：鼓励美国公民、绿卡持有者、EAD持有者和H-1B转移候选人申请。我们无法为此职位赞助新的H-1B签证申请。

职位概述

我们正在寻找一名AI优化工程师，专注于为大型神经网络系统的训练和推理工作负载提取最大吞吐量、最小化延迟并降低成本。该角色涵盖从底层内核优化到分布式系统调优的全栈工作，要求深入理解GPU架构、模型并行、内存管理和编译器级优化。理想的候选人应在生产AI工作负载上展现出显著影响力，并具备强大的 instrumentation 和测量纪律，从而能够做出严谨的、数据驱动的优化决策。

在该角色中，您将与跨职能合作伙伴——产品、设计、工程、运营和业务利益相关者——密切合作，将模糊的需求转化为精心设计的解决方案，并期望通过代码审查、设计审查和对初级工程师的指导来提升标准。成功的候选人应具备强大的工程纪律、清晰的沟通风格，以及在生产中经得起考验的有意义工作交付记录。

必备资格

计算机科学、计算机工程或相关领域的学士或硕士学位。
六年以上性能工程、ML系统或HPC经验。
精通Python和C++。
具有在现代GPU上优化深度学习工作负载的实践经验。
深入理解分布式训练和推理技术。
具有跨CPU、GPU和分布式系统的性能分析工具使用经验。
熟悉模型压缩技术及其对准确性的影响。
深入掌握内存层次结构、通信原语和并行策略。
出色的测量、调试和分析推理能力。
强大的沟通和协作能力。

优先资格

具有在生产规模下优化LLM推理的经验。
对vLLM、TensorRT-LLM、DeepSpeed或类似项目的贡献。
熟悉在Triton或CUTLASS中编写自定义内核。
具有AI工作负载FinOps经验。
在AI系统性能方面有发表论文或演讲。

如何申请

想了解更多关于此机会的信息吗？如需立即考虑，请将您的简历发送至[email address]。

Bright Vision Technologies是一家平等机会雇主。

平等就业机会（EEO）声明

Bright Vision Technologies（BV Teck）致力于为所有员工和申请人提供平等就业机会（EEO），不因种族、肤色、宗教、性别、性取向、性别认同或表达、国籍、年龄、遗传信息、残疾、退伍军人身份或适用联邦、州或地方法律定义的任何其他受保护身份而歧视。这一承诺延伸至就业的所有方面，包括招聘、雇用、培训、薪酬、晋升、调动、休假、解雇、裁员和召回。BV Teck明确禁止任何形式的职场骚扰或歧视。任何不当干扰员工履行工作职责的行为可能导致纪律处分，直至包括终止雇佣。

最初发布于Himalayas

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准