This role pays more than
99%
of similar roles. Most pay
$153,318–$223,750
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$189k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
980 open roles
on FindRole.
Listed pay typically runs
$168,000–$270,250
across 966 roles with salary data.
As a Senior Systems Software Engineer at NVIDIA’s Analytics and Data Intelligence (ADI) organization, you will play a pivotal role in developing GPU-accelerated data analytics systems by extending JIT and compiler-based execution support in cuDF and related frameworks. Your responsibilities include designing optimized GPU execution paths for SQL-like queries, investigating kernel fusion strategies to enhance performance, and building benchmarks to capture real-world workloads. You will collaborate closely with various teams to translate workload analysis into actionable plans and architecture decisions, leveraging your expertise in systems performance engineering, compiler/runtime design, and database optimization techniques. Proficiency in C++ or Python, experience with cuDF, CUDA, LLVM, and NVRTC, as well as familiarity with NVIDIA GPUs and benchmarking frameworks like TPC-H and Click-Bench, are essential for this role, which operates at the cutting edge of data analytics and machine learning technology.