NVIDIA Corporation

Senior DevTech Compute Engineer, Compression and Data Processing

NVIDIA Corporation$184K — $356K *
US-AnywhereRemote in New York, NY
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Masters or PhD in Computer Science, Computer Engineering, Applied Math, or related computational field (or equivalent experience).
  • 5+ years of relevant experience with a history of complex projects and effective prioritization.
  • Hands-on expertise in low-level parallel programming (e.g., CUDA, OpenMP).
  • Fluency in C/C++, algorithms, and data structures.
  • Knowledge of CPU/GPU/NPU architectures and memory subsystems.
  • Domain expertise in data processing, compression techniques, and distributed databases.

Responsibilities

  • Prototype novel GPU-accelerated distributed data processing methods.
  • Analyze and optimize complex data workloads for performance.
  • Collaborate with cross-disciplinary teams to influence hardware and software design.
  • Engage with top-tier customers to integrate advanced solutions.
  • Promote open standards in data analytics and compression solutions.

Benefits

  • Hybrid work environment with flexible hours.
  • Opportunities for equity in the company.
  • Access to cutting-edge technology and resources for personal and professional development.
Full Job Description
In this role, you will prototype and integrate novel approaches to GPU-accelerated distributed data processing domains: dataframe analytics, high-throughput low-latency advanced lossless and lossy compression methods, transactional and vector databases.
  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current heterogeneous GPU/CPU architectures.
  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA.
  • Work directly with the NVIDIA largest customers and CSPs to integrate the solutions at Speed-Of-Light, and influence open standards in data analytics and compression


  • What we need to see:
    • Masters or PhD in Computer Science, Computer Engineering, Applied Math and/or related computationally focused science degree (or equivalent experience).
    • At least 5+ years of relevant work or research experience, with a track record in the state-of-the-art systems or complex projects, involving cross-team collaboration and solid prioritization skills.
    • Hands-on experience with low-level parallel programming across execution units (CPU/GPU/NPU/ASICs), e.g., CUDA, ROCm, Metal, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
    • Fluency in C/C++, algorithms and data structures
    • CPU/GPU/NPU accelerators architecture fundamentals, memory subsystem, caches, NICs and storage I/O
    • Domain expertise in data processing, compression and decompression, codecs or in high performance distributed databases, ETL and data analytics


    Ways to stand out from the crowd:
    • PhD or a recent project/publication in a relevant field.
    • Background in compression (lossless/lossy, ANS, Bitpack), video or image codecs (H.264, H.265, AV1, ProRes), low-latency data analysis, storage systems, networking, and distributed computer architectures.
    • Track of records in zero-to-one project or initiatives, spanning several stakeholders and resulting in substantial TCO gains or enabling new workflows.
    • Open-source contributions or committee participation in the related domain and fields.
    • Excellent interpersonal skills, problem solving, and the ability to communicate efficiently in sophisticated technical scenarios


    #LI-Hybrid

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

    You will also be eligible for equity and benefits.

    Applications for this job will be accepted at least until August 21, 2026.

    This posting is for an existing vacancy.

    NVIDIA uses AI tools in its recruiting processes.

    About NVIDIA Corporation

    Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

    About Nvidia

    A Pioneer in Technology and Innovation

    Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

    Job Opportunities

    Diverse Positions in a Dynamic Field

    Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

    Employment in Hardware and Graphics

    For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

    Growth in Machine Learning and AI

    Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

    Recruitment in Computer Science

    With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

    Internship Program

    Opening Doors to Future Innovators

    Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

    Benefits and Culture

    Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

    Opportunities for Students

    Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

    Pathways to Full-Time Employment

    Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

    Nvidia Careers: More Than Just a Job

    Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
    Learn more about NVIDIA Corporation
    Size
    22,473 employees
    Market Cap
    $350.4 billion
    Industry
    Net Income
    $4.3 billion
    Founded
    1993
    5 Year Trend
    +31.3%
    Revenue
    $16.6 billion
    NASDAQ

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