- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Distinguished Engineer, Apache Spark.
Urgent! Distinguished Engineer, Apache Spark Job Opening In Santa Clara – Now Hiring NVIDIA
Distinguished Engineer - Accelerated Apache Spark
NVIDIA is seeking a Distinguished Engineer for the Apache Spark Acceleration group.
Over the past five years GPU accelerated data processing has moved from proof of concept to production deployments.
Many enterprises are now recognizing the needs of accelerated computing for large scale data processing.
Multi-node GPU deployments will reduce cloud computing costs and lower latency of large scale data processing.
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.
You will serve as a hands-on architect of Nvidia Spark Acceleration Group.
You will work with a team of distributed system engineers including PMC and Committers of Apache Spark, Apache Hadoop, Apache Hive, and Apache Arrow.
You will engage in open source projects such as Apache Spark, RAPIDS, Apache Iceberg, Delta Lake, UCX and more.
What you'll be doing:
+ Lead the architecture, design and implementation of accelerated Apache Spark and related big-data frameworks
+ Engage open source communities (including Apache Spark, RAPIDS, Apache Iceberg, Delta Lake and UCX) for technical discussion and contribution, and engage new communities where we may not have a strong presence yet
+ Work with NVIDIA partners to deploy GPU enabled data analytics solutions in public cloud or on-premises clusters
+ Present technical solutions at industry conferences and meetups
+ Collaborate with distributed systems teams to define 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
+ Build automation and tools that will increase the productivity of teams developing distributed systems
+ Mentor members of the engineering team
What we need to see:
+ BS, MS, or PhD in Computer Science, Computer Engineering, or closely related field (or equivalent experience)
+ 17+ years of work or research experience in software development
+ Prior experience in delivering complex software projects as a lead architect
+ Outstanding technical skills in designing and implementing high-quality distributed systems
+ Excellent programming skills in C++, Java, and/or Scala
+ Highly motivated with strong interpersonal skills and communication skills
+ 5+ years working experience with key open source big-data projects as a contributor or committer to Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Hive, Apache Arrow, Delta Lake
+ Excellent knowledge about distributed system schedulers: Kubernetes, Hadoop YARN, Apache Spark
+ Able to delve into a new area and quickly come up to speed
+ Able to work with teams across boundaries and geographies
Ways to stand out from the crowd:
+ Working experience in designing and developing columnar query engines would be a huge plus
+ Committership at major open source projects (such as Apache Spark, Apache Hadoop, Apache Flink) is a big plus
+ Working experience with acceleration libraries (CUDA, RAPIDS, UCX) is helpful
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 308,000 USD - 471,500 USD.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) .
Applications for this job will be accepted at least until August 5, 2025.
NVIDIA is committed to fostering a diverse 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
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Distinguished Engineer Potential: Insight & Career Growth Guide
Real-time Distinguished Engineer Jobs Trends in Santa Clara, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Distinguished Engineer in Santa Clara, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 171339 jobs in United States and 2960 jobs in Santa Clara. This comprehensive analysis highlights market share and opportunities for professionals in Distinguished Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! NVIDIA is currently hiring and seeking a Distinguished Engineer, Apache Spark to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Distinguished Engineer, Apache Spark Jobs Santa Clara.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NVIDIA adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Distinguished Engineer, Apache Spark Jobs United States varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Distinguished Engineer, Apache Spark typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Distinguished Engineer, Apache Spark, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Distinguished Engineer, Apache Spark interview at NVIDIA, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NVIDIA's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Distinguished Engineer, Apache Spark is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!