模型优化工程师
Model Optimization Engineer
Bright Vision Technologies 是一家技术咨询和软件开发公司，为美国各地提供云计算、人工智能、数据和企业解决方案。
这是一个加入一家知名且备受尊敬的组织的绝佳机会，提供巨大的职业发展潜能。
职位名称：模型优化工程师
地点：100% 远程（美国）
职位类型：全职，直接 W2
薪资范围：每年 150,000–175,000 美元
所需经验：6 年以上
赞助：美国公民、绿卡持有者、EAD 持有者和 H-1B 转移候选人可申请。我们无法为该职位的新 H-1B 签证申请提供赞助。
职位简介：
我们正在寻找一名模型优化工程师，专注于从大型神经网络系统中提取最大吞吐量、最小化延迟并降低训练和推理工作负载的成本。该职位涵盖从底层内核优化到分布式系统调优的整个技术栈，要求对 GPU 架构、模型并行性、内存管理以及编译器级优化有深入理解。理想的候选人应有在生产环境中对 AI 工作负载产生实际影响的经验，具备强大的工具使用和测量能力，能够做出严谨的数据驱动优化决策。在此职位上，您将与跨职能团队——产品、设计、工程、运营和业务相关方密切合作，将模糊的需求转化为良好的工程解决方案，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。成功候选人应具备扎实的工程纪律、清晰的沟通风格，并有交付在生产环境中表现良好的工作的记录。
所需资格
· 计算机科学、计算机工程或相关领域的学士或硕士学位。
- 在性能工程、机器学习系统或高性能计算领域有六年或以上经验。
- 精通 Python 和 C++。
- 有在现代 GPU 上优化深度学习工作负载的实际经验。
- 深入了解分布式训练和推理技术。
- 有在 CPU、GPU 和分布式系统上使用分析工具的经验。
- 了解模型压缩技术及其对准确性的潜在影响。
- 对内存层次结构、通信原语和并行策略有扎实的理解。
- 优秀的测量、调试和分析推理能力。
- 强大的沟通能力。
查看英文原文
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: Model Optimization Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $150,000–$175,000 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 Model 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 or contact us at (908)676-4399. Learn more about Bright Vision Technologies at .
Bright 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