NVIDIA

Hardware Systems Architect

SANTA CLARA, CAPosted 18 days ago

Job summary

  • Job post source

    This job is directly from NVIDIA

  • Job overview

    The Hardware Systems Architect role at NVIDIA involves architecting and deploying GPU hardware and systems at scale, contributing to cutting-edge deep learning and AI technologies.

  • Responsibilities and impact

    The role includes designing hardware system and cluster architecture for hyperscale distributed workloads, collaborating across disciplines, defining requirements, conducting technical reviews, and improving processes for efficiency and quality.

  • Compensation and benefits

    The position offers a base salary range of $184,000 to $356,500, equity eligibility, and a comprehensive benefits package.

  • Experience and skills

    Candidates should have a BS, MS, or PhD in Electrical/Computer Engineering or equivalent, 10+ years of hardware and system architecture experience, familiarity with data center infrastructure, and strong communication and collaboration skills; experience with AI hardware at scale and data center cooling is a plus.

  • Career development

    The role offers career growth in the rapidly expanding field of deep learning and AI hardware systems within a leading technology company.

  • Work environment and culture

    NVIDIA promotes a diverse, supportive environment that inspires innovation and excellence among its employees.

  • Company information

    NVIDIA is a pioneering company in computer graphics, PC gaming, and accelerated computing with over 25 years of innovation, now focusing on AI and GPU-driven technologies for various advanced applications.

  • Team overview

    The candidate will join the Architecture organization working with sophisticated computing hardware and software, collaborating with enterprise and data center customers.

  • Application process

    Applications are accepted on an ongoing basis with no specific deadlines mentioned.

  • Unique job features

    The job involves working on cutting-edge GPU hardware and system architectures in a cloud-native environment, with opportunities to influence future technology breakthroughs.

Company overview

NVIDIA is a leading technology company known for designing and manufacturing graphics processing units (GPUs) for gaming, professional visualization, data centers, and automotive markets. They generate revenue primarily through the sale of GPUs and related software, as well as through their growing presence in AI and machine learning sectors. Founded in 1993, NVIDIA has a rich history of innovation, including the introduction of the CUDA platform, which revolutionized parallel computing. Their recent advancements in AI, autonomous vehicles, and high-performance computing continue to position them at the forefront of technological development.

How to land this job

  • Tailor your resume to emphasize your extensive experience in hardware and system architecture, particularly with GPU hardware and cluster deployments in production environments, aligning closely with NVIDIA's focus on deep learning and AI hardware systems.

  • Highlight your ability to design and implement hardware systems that balance requirements across architecture, hardware, verification, software, and application teams, showcasing collaboration skills and cross-disciplinary expertise.

  • Apply through multiple channels including NVIDIA's official careers page and LinkedIn to maximize your visibility and increase the chances of your application being noticed.

  • Connect on LinkedIn with professionals in NVIDIA's Architecture division or data center hardware teams; use ice breakers like commenting on recent NVIDIA AI hardware innovations or asking about their experience working on large-scale GPU cluster deployments.

  • Optimize your resume for ATS by incorporating keywords from the job description such as 'GPU hardware architecture,' 'cluster design,' 'hyperscale distributed workloads,' 'data center infrastructure,' and 'hardware/software co-design' to ensure it passes automated screenings.

  • Leverage Jennie Johnson's Power Apply feature to automate tailored applications across multiple platforms and identify LinkedIn contacts for networking, saving time and increasing your chances of landing the Hardware Systems Architect role at NVIDIA.

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