Nvidia

Nvidia

Principal Architect, Accelerated Computing

US, CA, Santa Clara · Principal

Sponsorship not specifiedDetected 1 day ago
PythonC++Node.jsData StructuresAlgorithmsLinuxMachine LearningIntellectual PropertyElectrical EngineeringHardware DesignResearchCommunicationProblem SolvingTime ManagementPublic Speaking

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42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 843 green-card filings in this occupation, 97% were for a worker who already held the job.

Green-card follow-through: 95%

Of 584 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This position offers you the opportunity to make a meaningful impact in a fast-moving, technology focused company.
  • What you'll be doing: Performing in-depth analysis and optimization to ensure the best possible performance on current and/or next-generation NVIDIA GPUs.
  • Creating and optimizing core parallel algorithms, data structures, and reference codes to provide the best possible solutions for NVIDIA GPUs.

Responsibilities

  • Actively leading and collaborating with the hardware design, software engineering, product, and research teams to guide the direction of accelerated computing.
  • Diving into accelerated computing applications to facilitate software-hardware co-design.
  • Strong knowledge of C and C++ with solid understanding of software design, programming techniques, and algorithms.

Requirements

  • Hands-on experience with the massively parallel GPU programming model, e.g. CUDA or OpenCL.

Nice to have

  • Familiarity with APIs for multi-node communication, like MPI or OpenSHMEM/NVSHMEM, is a plus.
  • Familiarity with threading APIs for multicore CPUs and Unix-style Inter-process Communication (IPC) APIs is a plus.
  • Familiarity with Python is a plus.

Compensation

  • If so, we want to hear from you. #ArchitectYourFuture Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • The base salary range is 272,000 USD - 431,250 USD.

Benefits

  • NVIDIA is developing software and system architectures for accelerated high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing.

Company info

  • We are now looking for a Principal Accelerated Computing Architect!

Equal opportunity

  • NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.