ApplySarthi

Principal Systems Software Engineer

Nvidia

Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Skills named in this job

Read from the description itself, not inferred.

This role on the market

15,358 open software roles across 1,216 companies are on ApplySarthi right now, most of them in Bengaluru (915), Hyderabad (311), Pune (182).

What software roles keep asking for: Python (37%), Java (30%), AWS (29%), System design (26%), C++ (26%), CI/CD (23%), Observability (22%), Kubernetes (20%) — counted across their open postings here.

Remote Systems Software Engineer jobs · AWS jobs · C++ jobs · Databricks jobs · ETL jobs

Nvidia has 3,855 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for software roles keep coming back to Python, Java, AWS, System design. Practise those questions before you sit with Nvidia.

Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Spark? Tell me one thing you learned the hard way.
  3. What do you do when a production issue happens on your code?
  4. Walk me through a system you built. How was it designed, and what would you change now?
  5. Tell me about a hard bug you tracked down. How did you find the cause?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Principal Systems Software Engineer at Nvidia interview free →

NVIDIA is seeking a Sr. Principal Systems Software Engineer for the Apache Spark Acceleration group. GPU accelerated data processing has moved from proof of concept to production deployments. Enterprises now recognize the need for accelerated computing to handle large data processing needs. Multi-node GPU deployments will reduce cloud computing costs and lower latency batch ETL workloads. At NVIDIA, we have been invested in accelerating Apache Spark, providing an open source plugin for Apache Spark. Apache Spark is the most popular data processing engine in data centers. We strive to accelerate Spark applications on GPUs without any code changes. Our OSS RAPIDS Spark library is integrated with on-premise and cloud services such as AWS EMR, Databricks, Google Dataproc, Oracle Cloud Data Flow, Bytedance Volcengine, Tencent Cloud and Cloudera. We are passionate about working on hard problems that have an impact. You will need to have strong programming skills, a deep understanding of software development related. You will work with a team that is using open source libraries like cuDF to accelerate reading, writing and batch data operations in Spark. What you'll be doing: Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common file formats such as Parquet, ORC and JSON Enable interoperability with table formats such as Apache Iceberg and Delta Lake, and metastores such as Unity Catalog Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions Collaborate with distributed systems teams to craft solutions to distributed processing problems challenges at large scale Provide recommendations and feedback to teams regarding decisions surrounding topics such as infrastructure, continuous integration and testing strategy Build, test and optimize CUDA/C++ libraries across different platforms What we need to see: BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience) 15+ years of work experience in software development Outstanding technical skills in designing and implementing high-quality distributed systems Excellent programming skills in C++, Java, and/or Scala Ability to work with teams across organizational boundaries and geographies Familiarity with the open source data platform ecosystem (Apache Spark, Velox, Presto, Apache Arrow, Apache DataFusion, etc.). Meaningful contributions to the OSS community a plus. Highly motivated with strong interpersonal skills Database query optimization is a strong plus 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.