This role pays more than
99%
of similar roles. Most pay
$158,600–$236,325
— the shaded band above.
At the midpoint, this role pays about
$404k
versus about
$197k
for comparable roles.
Based on 239 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
563 open roles
on FindRole.
Listed pay typically runs
$168,000–$264,500
across 556 roles with salary data.
As a Distinguished Engineer in NVIDIA’s Apache Spark Acceleration group, you will lead the architecture and design of GPU-accelerated Apache Spark solutions, working closely with distributed system engineers who are PMC members or committers to projects like Apache Spark and Hadoop. Your daily tasks include engaging open-source communities for technical discussions, collaborating with partners on public cloud deployments, presenting at industry events, and mentoring team members. You will also build and optimize CUDA/C++ libraries and develop automation tools for distributed systems. Ideal candidates have over 17 years of experience in software development, strong programming skills in C++, Java, or Scala, and extensive contributions to open-source big-data projects such as Apache Spark and Hadoop. Knowledge of distributed system schedulers like Kubernetes and YARN is essential, along with the ability to quickly adapt to new technologies and work effectively across global teams.