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Clearpoint
Houston, TX, United States
TITLE: Senior Machine Learning Engineer LOCATION: Houston TYPE: Direct Hire SALARY: $125,000 - $140,000 SUMMARY: The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications. You will drive the deployment of state-of-the-art AI services and analytic applications that support the needs
Job Source: ClearpointClearpoint
Houston, TX, United States
TITLE: Senior Machine Learning Engineer LOCATION: Houston TYPE: Direct Hire SALARY: $125,000 - $140,000 SUMMARY: The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications. You will drive the deployment of state-of-the-art AI services and analytic applications that support the needs
Job Source: ClearpointSlack
, TX, United States
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help com
Job Source: SlackCornerstone OnDemand
Houston, TX, United States
The Software Engineer will be part of the Cloud Engineering (Infrastructure and DevOps) team responsible for all of Cornerstone’s production systems and services. The goal of the Cloud Engineering team is to achieve highest levels of efficiency and productivity using various tools, processes, and frameworks. You will collaborate with some of the be
Job Source: Cornerstone OnDemandCornerstone OnDemand
Houston, TX, United States
The **Software Engineer** will be part of the Cloud Engineering (Infrastructure and DevOps) team responsible for all of Cornerstones production systems and services. The goal of the Cloud Engineering team is to achieve highest levels of efficiency and productivity using various tools, processes, and frameworks. You will collaborate with some of the
Job Source: Cornerstone OnDemandAmazon
Houston
Description Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transform
Job Source: AmazonThe Friedkin Group
Houston, TX, United States
JOB SUMMARY As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. You will drive the development and deployment of state-of-the-art AI services and analytic applications that support the needs of our business. We are looking for a driven
Job Source: The Friedkin GroupIt1 Source LLC
, HI, United States
iT1, a leading national technology solution provider headquartered in Tempe, AZ, is looking for a motivated Systems Engineer II with a focus in Infrastructure to join our NOC team. iT1 has been recognized by the Phoenix Business Journal's "Best Places to Work" in Arizona for the past 11 years. This is a testament to the great team and culture we ha
Job Source: It1 Source LLC, TX, United States
NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of all facets of Deep Learning such as training and inferencing, one of today's most important workloads in the world. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution while helping deep learning users around the globe enjoy ever-higher training speeds.
What You'll Be Doing
Understand, analyze, profile, and optimize deep learning workloads on state-of-the-art hardware and software platforms.
Build tools to automate workload analysis, workload optimization, and other critical workflows.
Collaborate with cross-functional teams to analyze and optimize cloud application performance on diverse GPU architectures.
Identify bottlenecks and inefficiencies in application code and propose optimizations to enhance GPU utilization.
Drive end-to-end platform optimization from a hardware level to the application and service levels
Design and implement performance benchmarks and testing methodologies to evaluate application performance.
Provide guidance and recommendations on optimizing cloud-native applications for speed, scalability, and resource efficiency.
Share knowledge and best practices with domain expert teams as they transition applications to distributed environments.
What We Need To See
Masters in CS, EE or CSEE or equivalent experience
8+ years of experience in application performance engineering
Experience using large scale multi node GPU infrastructure on premise or in CSPs
Background in deep learning model architectures and experience with Pytorch and large scale distributed training
Experience with application profiling tools such as NVIDIA NSight, Intel VTune etc.
Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture. Experience with NVIDIA's Infrastructure and software stacks.
Proven experience analyzing, modeling and tuning DL application performance.
Proficiency in Python and C/C++ for analyzing and optimizing application code
Ways To Stand Out From The Crowd
Strong fundamentals in algorithms and GPU programming experience (CUDA or OpenCL)
Understanding of NVIDIA's server and software ecosystem
Hands-on experience in performance optimization and benchmarking on large-scale distributed systems
Hands-on experience with NVIDIA GPUs, HPC storage, networking, and cloud computing.
In-depth understanding storage systems, Linux file systems, RDMA networking
NVIDIA is 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. If you're creative and autonomous, we want to hear from you.
The base salary range is 180,000 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.
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Email Alert for Senior Deep Learning Systems Software Engineer - AI Infrastructure jobs in , TX, United States
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