NVIDIA Corporation

Senior Systems Software Engineer, Performance Architecture - Analytics and Data Intelligence

NVIDIA Corporation$224K — $356K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent experience.
  • 12+ years of validated experience in systems performance engineering or performance-focused architecture.
  • Proven skills in profiling, instrumentation, and optimization for CPU and GPU systems.
  • Experience with compiler, JIT, code generation, query execution, or runtime optimization techniques.
  • Familiarity with analytics database engines and/or query runtimes.
  • Proficient in C++ and/or Python for performance-critical code analysis.
  • Experience with cuDF, RAPIDS, CUDA, and other JIT/codegen systems.

Responsibilities

  • Extend JIT and compiler-based execution support in cuDF and related systems.
  • Design approaches for optimizing GPU execution paths from query fragments.
  • Investigate kernel fusion strategies to enhance performance and reduce latency.
  • Analyze analytics workloads to identify and resolve performance bottlenecks.
  • Build benchmarks and regression tests for dataframes and SQL-like workloads.
  • Collaborate across teams to turn workload analysis into implementation plans.
  • Prototype execution strategies inspired by high-performance database engines.

Benefits

  • Eligible for equity and benefits package.
  • Opportunity to work on high-impact projects in GPU computing.
  • Engagement with top teams in the field of machine learning and data analytics.
Full Job Description
We are seeking a Senior Systems Software Engineer focused on performance architecture for GPU-accelerated structured data processing. This is a high-impact individual contributor role for someone passionate about developing coordinated SQL and user-friendly interfaces across diverse CPU and GPU query engines. It involves improving performance, reliability, and workload optimization.

The ideal candidate has deep experience in systems performance, compiler/runtime design, and database or dataframe execution engines. This role will focus on compiler and JIT-based execution techniques for cuDF and related analytics runtimes.

What you'll be doing:
  • Extend JIT and compiler-based execution support in cuDF and related
  • GPU-accelerated structured data processing systems.
  • Design approaches for lowering expressions, ASTs, or query fragments into optimized GPU execution paths.
  • Investigate kernel fusion strategies across cuDF operations to reduce materialization, memory traffic, launch overhead, and end-to-end query latency.
  • Analyze structured analytics workloads to identify performance bottlenecks in expression evaluation, joins, aggregations, scans, data movement, and memory management.
  • Build benchmarks and regression tests that capture real dataframe and SQL-like workloads, from micro-benchmarks to end-to-end pipelines.
  • Collaborate with cuDF, CUDA, compiler/runtime, and query engine teams to translate workload analysis into implementation plans and architecture decisions.
  • Prototype and evaluate execution strategies inspired by high-performance database engines, including fused operators, code generation, vectorized execution, and adaptive planning.


What we need to see:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent hands-on experience.
  • 12+ years of validated experience in systems performance engineering or performance-focused architecture.
  • Proven skills in profiling, instrumentation, and optimization for CPU and GPU systems, applying tools like tracing, counters, flame graphs, and kernel-level profiling.
  • Experience with compiler, JIT, code generation, query execution, or runtime optimization techniques.
  • Experience optimizing analytic database engines and/or query runtimes, including vectorized execution, join strategies, and columnar formats like Arrow and Parquet.
  • Proficient in C++ and/or Python, with a strong ability to analyze performance-critical code and implement effective solutions.
  • Experience with cuDF, RAPIDS, CUDA, Numba, LLVM, MLIR, NVRTC, or other JIT/codegen systems.
  • Experience with benchmarking frameworks, performance dashboards, and CI/CD regression gating, along with a proven grasp of modern analytics and machine learning workflows.


Ways to stand out from the crowd:
  • Deep familiarity with NVIDIA GPUs and GPU programming (CUDA), including memory hierarchy, concurrency, and profiling toolchains such as Nsight Systems.
  • Experience with TPC-style benchmarking (TPC-H, TPC-DS, or analogous), Click-Bench-like workloads, and building credible, repeatable performance narratives.
  • Prior work on database execution engines, especially operator fusion, query compilation, vectorized execution, or adaptive execution.
  • Demonstrated open-source contributions to performance-critical systems, including libraries, runtimes, databases, and ML or data tooling.


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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 16, 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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