开发者技术经理
Manager, Developer Technology
NVIDIA的开发者技术工程团队是一个由世界级专家组成的全球网络，正在推动加速计算的边界！我们为开发者提供突破性的解决方案，同时推动创新，助力NVIDIA在这一变革性领域保持领先地位。NVIDIA的加速计算平台正在改变各行各业。为了抓住这一爆炸性增长的机会，我们正在扩大团队，并寻找一位有远见的领导者来推动我们的持续成功。
你将负责：
这个职位提供了领导一支技能娴熟的性能工程师团队的独特机会，他们直接与开发者社区合作，挖掘NVIDIA开创性CPU和GPU的全部潜力！NVIDIA平台以其在深度学习训练和推理中的AI主导地位而闻名。然而，现代数据中心今天有数亿台CPU用于运行关键任务工作负载，例如数据库、数据预处理、压缩、视频转码、Web服务器等。通过研究和开发实现方案，帮助现代化数据中心，利用先进的NVIDIA平台节省成本和能耗。核心职责包括：
- 驱动创新：这包括研究、分析和开发创新技术，以优化跨云和本地环境的复杂工作负载性能。这些工作负载难以并行化，重大性能提升需要发明新算法，并与架构师紧密合作以影响硬件设计。
- 技术领导力：通过领导软件设计决策、影响架构路线图，并向多功能团队有效传达技术解决方案，推动技术卓越。优先并领导推动NVIDIA硬件和软件平台性能和采用的关键项目。
- 培养和指导你的团队：建立一个分布式的世界级性能工程师团队。在你的团队中培养领域、硬件和软件专业知识，以加强对外部开发者的参与。营造协作和创新的文化，鼓励想法分享，赋能团队成员，并提供职业发展的机会。
- 协作与沟通：与公司管理层、研究团队和跨职能合作伙伴密切协作，推动战略决策、项目管理和成功实施。倡导下一代硬件的开发
查看英文原文
NVIDIA's Developer Technology Engineering team is a global network of world-class experts pushing the boundaries of accelerated computing! We empower developers with groundbreaking solutions while driving innovation that fuels NVIDIA's leadership in this transformative field. NVIDIA's accelerated computing platform is revolutionizing industries. To capitalize on this explosive growth, we're growing our team and seeking a visionary leader to drive our continued success.
What you’ll be doing:
This role offers a unique opportunity to lead a team of skilled performance engineers collaborating directly with the developer community to unlock the full potential of NVIDIA's groundbreaking CPUs and GPUs! NVIDIA platform is known for its AI dominance in deep learning training and inference. Nonetheless, modern data centers have hundreds of millions of CPUs that are used today to run mission critical workloads such as database, data preprocessing, compression, video transcoding, web servers, and many others. Help modernize today’s data centers by researching and developing implementations to help save cost and power using the advanced NVIDIA platform. Core responsibilities include:
- Driving Innovation: This involves researching, analyzing, and developing innovative techniques to optimize performance of complex workloads across cloud and on-premise environments. These workloads are difficult to parallelize and major performance speed-ups require inventing new algorithms and working side-by-side with architects to influence hardware.
- Technical Leadership: Drive technical excellence by leading software design decisions, influencing architecture roadmap, and effectively communicating technical solutions to multi-functional teams. Prioritize and lead key initiatives that advance the performance and adoption of NVIDIA’s hardware and software platforms.
- Growing and Mentoring Your Team: Build a distributed world-class team of performance engineers. Grow domain, hardware and software expertise within your team to strengthen external developer engagements. Foster a collaborative and innovative culture that encourages idea sharing, empowers team members, and provides opportunities for professional growth.
- Collaboration and Communication: Collaborate closely with company leadership, research teams, and cross-functional partners to drive strategic decision-making, program management, and successful initiative implementation. Advocate for next-generation hardware and software products that address the evolving needs of the developer community.
What we need to see:
- An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science degree (or equivalent experience).
- 7+ overall years of relevant experience with 4+ years in a technical role and 3+ years of experience in an engineering leadership role.
- Outstanding leadership, strong cross-functional collaboration, and impactful project execution.
- Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- In-depth expertise with CPU and GPU architecture fundamentals.
- Strong algorithmic skills and proven experience implementing low-level optimizations for enterprise applications.
- A track record of building high-performing teams by attracting and hiring top engineering talent.
- Excellent communication and presentation skills.
- Demonstrated ability to successfully plan, lead, and execute high-impact initiatives.
Ways to stand out from the crowd:
- A PhD in a relevant field is highly valued.
- Experience leading engineering teams to design performance-first prototypes.
- Strong background in distributed high-performance data analytics including SQL or vector databases.
- Expertise in modern data center network and storage technologies.
NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us. Come join our team of brilliant minds leading the way in accelerated computing. Are you a creative and independent computer scientist with a passion for parallel computing? If so, we invite you to apply.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 USD for Level 4.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 21, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Originally posted on Himalayas