Senior Software Engineer, C++ and CUDA - Analytics...

NVIDIA Ltd.
Santa Clara, CA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$184,000.0 - $287,500.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis C++ (Programming Language) Nvidia CUDA Computer Programming Databases Data Centers Extract Transform Load (ETL) Software Debugging Data Intelligence OpenMP Software Engineering Supercomputing
+7 more
Data Processing Graphics Processing Unit (GPU) Apache Spark Parallel Computation Information Technology Free and Open-Source Software Presto

Job description

We’re looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate open-source software libraries for GPU data processing.

As part of NVIDIA’s Analytics and Data Intelligence (ADI) team, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. You will be building the computational core for dataframe and database accelerators-highly optimized C++ and CUDA libraries that leverage the parallel nature of GPUs to accelerate operations from data loading and parsing to joins, aggregations, and more. Come bring your creativity and problem-solving skills to our open-source software suite, and you can be our next major contributor!

What you’ll be doing:

  • Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows

  • Implementing solutions in C++ and CUDA

  • Contributing to open source projects, such as cuDF, Velox, Presto and Spark

  • Benchmarking, profiling, and optimizing code

  • Working closely with the world’s top experts in GPU hardware, software and workflows

Requirements

  • 5+ years of experience in Computer Science or Software Engineering

  • MS degree or PhD in computer science, engineering, or a related field (or equivalent experience)

  • Strong Modern C++ programming skills

  • Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc.

  • You care deeply about robust, readable, high-performance code

  • Excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems we have

Ways to stand out from the crowd:

  • Familiarity with RAPIDS cuDF (https://github.com/rapidsai/cudf)

  • Experience in data science workflow development and debugging

  • Passion for publishing your work in technical blogs and conferences.

Benefits & conditions

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry’s most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you’re a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

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 (https://www.nvidia.com/en-us/benefits/) .

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:37 min

Simplifying parallel programming with the CUDA ecosystem

Paul Graham Paul Graham · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:15 min

Introduction to CUDA and general-purpose GPU computing

Paul Graham Paul Graham · WWC Europe 2026

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · WWC 2022

1:37 min

Accelerating compute with focused developer tools

Julia Koch Julia Koch +1 · WWC Europe 2026

1:52 min

Evolution of distributed SQL database management systems

Akmal Chaudhri Akmal Chaudhri · LIVE

Videos

See all

Related articles

See all