出海雷达

High-Performance Computing Engineer

开发工程职能支持限定地区(需当地身份)
公司Bright Vision Technologies
薪资$130,000 - $150,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

光视觉技术是一家提供云,人工智能,数据和企业解决方案的科技咨询和软件开发公司。这是一个非常好的机会加入一家既定且受尊敬的组织,提供巨大的职业增长潜力。工作标题:高性能计算工程师位置:100%远程 (美国)职位类型:全日制,直接 W2工资范围:130,000美元~150,000美元年经验要求:6年以上赞助:美国公民,绿卡持有人,EAD 持有人和 H-1B 转让候选人鼓励申请。我们无法赞助新的 H-1B 签证申请此职位。工作总结:我们正在寻找一个具有 CUDA 编程,GPU 架构和高性能计算的高级计算机工程师,以设计和优化现代加速器硬件上的计算密集工作负载。这个角色专注于从 GPU 平台中提取 AI 培训,推理,科学计算和高吞吐量数据处理工作负载的最大性能。理想候选人结合低级系统掌握与强大的软件工程实践,并拥有生产 GPU 系统的可测量的绩效改进记录。在这个角色中,你将与跨职业合作伙伴 产品,设计,工程,运营和商业利益相关者 密切合作,将模糊的要求转化为精心设计的解决方案,并预计通过代码审查,设计审查和更多年轻工程师的导师来提高标准。成功的候选人带来强大的工程学科,清晰的沟通风格以及在生产中保持良好意义的工作记录。所需资质 ·计算机科学,计算机工程或相关领域的本科或士学位。· GPU 编程和性能工程六年以上经验。· 熟悉 C/C++和 GPU 编程模型。· 了解现代 GPU 架构,内存层次结构和执行模式的强大程度。· 在生产中亲身地进行 GPU 工作负载配置和优化经验。·熟悉 NCCL,MPI 和高性能互联技术。· 专业化核心集成到 ML 框架中的经验。• 具有强大的 C++技能和对现代系统编程实践的熟悉性。· 有线代数和数字方法的坚实的基础。· 强有力的交流。

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: High Performance Computing Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $130,000–$150,000 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 a High Performance Computing Engineer with deep expertise in CUDA programming, GPU architecture, and high-performance computing to design and optimize compute-intensive workloads on modern accelerator hardware. This role focuses on extracting maximum performance from GPU platforms for AI training, inference, scientific computing, and high-throughput data processing workloads. The ideal candidate combines low-level systems mastery with strong software engineering practices, and has a track record of delivering measurable performance improvements on production GPU systems. 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 GPU programming and performance engineering.
  • Deep expertise in CUDA C/C++ and GPU programming models.
  • Strong understanding of modern GPU architectures, memory hierarchies, and execution models.
  • Hands-on experience profiling and optimizing GPU workloads in production.
  • Familiarity with NCCL, MPI, and high-performance interconnect technologies.
  • Experience integrating custom kernels into ML frameworks.
  • Strong C++ skills and familiarity with modern systems programming practices.
  • Solid grounding in linear algebra and numerical methods.
  • Strong communication and collaboration skills with research and engineering teams.

Preferred Qualifications
· Experience with Triton, CUTLASS, or other GPU kernel authoring frameworks.

  • Familiarity with TensorRT, FasterTransformer, or vLLM internals.
  • Exposure to compiler infrastructure such as LLVM or MLIR.
  • Open-source contributions to GPU or ML performance libraries.
  • Experience with large-scale distributed training infrastructure.

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 EmployerEqual 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

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