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Applied Intuition
Mountain View, CA, United States
About Applied Intuition Applied Intuition is a Tier 1 vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition delivers the definitive ADAS/AD toolchain and a world-class vehicle platform to help customers shorten time to market, build industry-leading products, and crea
Job Source: Applied IntuitionNVIDIA
Santa Clara, CA, United States
NVIDIA has been transforming computer graphics, animation, gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. NVIDIA Maxine is a powerful, GPU accelerated platform with state-of-the-art AI features for developers to build virtual collaboration and conten
Job Source: NVIDIANVIDIA
Santa Clara, CA, United States
We are seeking experienced System Software Engineers adept at Apache Spark to join our team to help drive innovation for accelerated data processing on GPUs. As Nvidia is leading the world in accelerated computing, we are building the next generation data processing ecosystem. Data scientists spend a considerable amount of time exploring data and i
Job Source: NVIDIASambaNova
Palo Alto, CA, United States
SambaNova Systems employs some of the greatest minds and talent in AI and machine learning. If you’d like to help lead the next generation of AI computing, we want to hear from you. SambaNova Systems is proud to be an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment wit
Job Source: SambaNovaNVIDIA
Santa Clara, CA, United States
NVIDIA is searching for a creative and highly motivated engineer with expertise in system software to join the GPU Software team. You will design key aspects of our production GPU kernel drivers and embedded SW with a focus on enabling GPUs in the data center. Bringing GPU scale and power to the data center enables transformational new applications
Job Source: NVIDIANVIDIA
Santa Clara, CA, United States
We are now hiring a Senior System Software Engineer to join the NVIDIA's System Software group focusing on Data Center Server Platform Diagnostics. You will join a dynamic crew that builds and maintains software for complex heterogeneous computing systems that power sophisticated server products used in ground breaking of diverse AI, HPC, and accel
Job Source: NVIDIANVIDIA
Santa Clara, CA, United States
We are the NVIDIA-Metropolis TAO (Train-Adapt-Optimize) team and are looking for a Senior Engineer to join our algorithms architecture team and develop our Generative AI and Foundational model solutions. NVIDIA has been redefining accelerated computing and powering the engines of artificial intelligence. We are developing a host of solutions includ
Job Source: NVIDIAGenomeWeb LLC
Menlo Park, CA, United States
Senior Software Engineer, C++ / HPC System Job Description At Pacific Biosciences, our R&D team is committed to developing innovative products that enable scientists to excel in a wide variety of life science research fields, including human biomedical, plant and animal sciences, and microbiology and infectious disease. Our unique Single Molecul
Job Source: GenomeWeb LLCSanta Clara, CA, United States
We are seeking experienced System Software Engineers adept at Apache Spark to join our team to help drive innovation for accelerated data processing on GPUs. As Nvidia is leading the world in accelerated computing, we are building the next generation data processing ecosystem. Data scientists spend a considerable amount of time exploring data and iterating over machine learning (ML) experiments. Every hour of compute required to sort through datasets, extract features and fit ML algorithms impedes an efficient business workflow. Nvidia believes that data science workflows can benefit tremendously from being accelerated, to enable data scientists to explore many more and larger datasets to drive towards their business goals, faster and more efficiently.
At NVIDIA, we are passionate about working on hard problems that have an impact. You will need to have previous experience working with Apache Spark applications, implementing big data applications for a variety of customers, programming skills, and familiarity with open source big data processing frameworks. You will work with an engineering team accelerating Apache Spark with GPUs using CUDA and open source libraries. This is a strategic investment for Nvidia. The code is being adopted by multiple cloud service providers and Apache Spark distributions. As Nvidia leads the way in providing the data center of the future with a CPU-GPU superchip platform, accelerating data processing will be a need for all enterprises.
What you'll be doing:
Scale Apache Spark acceleration for high-end GPUs and with the new Grace Hopper superchip platform
Work with select customers and partners to make Apache Spark applications accelerated with GPUs across on-prem and cloud environments
Benchmark and optimize Apache Spark workloads on GPUs for accelerated performance
Build tools to analyze data processing workloads to identify opportunities for acceleration and cost savings
Help define a reference architecture for next-generation computing cloud
Work with major cloud service providers and Spark vendors globally to enable accelerated computing for data processing use cases
What we need to see:
8+ years of of experience in software development, with the majority in data processing
3+ years hands on experience with Apache Spark application design and development
BS/MS/PhD in computer science or a related field
Familiarity with the modern data open source ecosystem (Apache Hadoop, Flink, Presto, Hive, Kafka, TensorFlow, PyTorch etc)
Deep understanding of performance optimization in low-level environments
Experience in writing performant distributed software at scale
Experience working on public and private cloud platforms
Prior experience supporting enterprise customers
Knowledge of SQL, Python and Scala/Java
Excellence at communicating, presenting and explaining technical topics
Ways to stand out from the crowd:
Familiarity with RAPIDS and UCX
Experience with performance optimizations in CSPs for big data use cases
Understanding and expertise in hardware configuration options as it pertains to performance and cost
Experience with working with and developing on GPUs
We are widely considered to be one of the technology world’s most desirable employers, and as a result have some of the most forward-thinking and hardworking people in the world working for us. If you're passionate, creative, and driven, we'd love to have you join the team. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
The base salary range is 220,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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.
Email Alert for Senior Systems Software Engineer jobs in Santa Clara, CA, United States
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