Storage Engineer Salary in Santa Clara, CA

We're looking for hands-on engineers with expertise and passion in solving difficult problems in distributed systems, virtualized infrastructure, and highly available storage services. If this is you, at Oracle you can design and build innovative new systems from the ground up. These are exciting times in our space - we are growing fast, still at an early stage, and working on ambitious new initiatives. An engineer at any level can have significant technical and business impact. Cloud Engineering Infrastructure Development.Location: Santa Clara. Must be able to work in the office 3 days or more a week. As a Senior Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Storage Infrastructure. You should be both a rock solid coder and a distributed systems generalist, able to dive deep into any part of the stack and low level systems, as well as design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.Minimum Qualifications:• 6+ years of working in Cloud Storage• Experience building multi-tenant, virtualized storage infrastructure using modern C++.• 6+ years experience delivering and operating large scale, highly available distributed systems.• Strong knowledge of C++ and experience with scripting languages such as Python, etc.• Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.• Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures.• Strong understanding of block or object storage systems, NoSQL systems, data management, and distributed persistence technologies.• Strong troubleshooting and performance tuning skills.As part of Oracle's employment process candidates will be required to complete a pre-employment screening process, after a conditional offer has been extended.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

After gaining the world's attention by enabling AI and high-performance computing advancements, NVIDIA is at a transitional moment in its history to become a leading data center and cloud company. As NVIDIA helps build the next-generation data center with our GPUs, with the increased focus on accelerating IO throughout the data center, NVIDIA brings many thoroughly tested, scalable, and packaged products to improve the customer's experience. We seek a Technical Marketing Engineer to promote NVIDIA's Networking portfolio. As a Technical Marketing Engineer, you will translate the "how" to the "why" of engineering features and solutions.This is a key technical marketing role working across various teams within NVIDIA, including - Core Engineering, Product Management, and Product Marketing. You will also work with the NVIDIA Enterprise Data Center business units. The successful candidate will help build compelling assets to drive NVIDIA Networking solutions into data center portfolio integration and other NVIDIA solutions such as data analytics, machine learning, and AI use cases across all major industry verticals. You will help develop the technical marketing roadmap of the product/technology and design and build compelling demonstrations, videos, white papers, and targeted content for an innovative collection of NVIDIA Networking technologies. Your work is vital to NVIDIA's continued success in providing end-to-end accelerated data center solutions.What You'll Be Doing:Engage with customers and field teams to thoroughly understand the benefits and use cases of the NVIDIA GPU and Networking portfolio, including Bluefied3 DPU, NVAIE products, etc.Craft compelling technical marketing content such as white papers, presentations, blogs, competitive positioning, and customer success stories to communicate the value of NVIDIA GPU + Networking portfolioDesign and build demos that showcase innovative end-to-end use casesRoleplay as "customer 0" and providing feedback and solutions whenever necessaryCollaborate with cross-functional partners on go-to-market planning and executionEngage with product management and engineering to drive and track the impacts of NVIDIA's complete portfolio on crucial application performance benchmarksCoordinate with internal PR resources and external outlets on the publication and promotion of technical marketing contentWhat We Need To See:BS/MS Degree in Computer Science or Engineering or equivalent experience in a Technical Marketing role with 5+ years of overall experience and 3+ years of technical marketing or customer co-innovation experience working on data center networking productsExperience in Kubernetes, Docker, OpenStackExpert with algorithms, data structures, complexity analysis, software design, and maintaining large-scale Linux-based systemsExperience in using observability and tracing-related tools like InfluxDB, Prometheus, and elastic and one or more of the following: C/C++, Golang, Python AI/ML frameworks and methodologiesPublic cloud and hybrid cloud experience in the Enterprise context, as well as knowledge about deploying and automated network infrastructure in public/private clouds and experience in Ansible/Terraform, a big plusAssist in the design, implementation, and support of large-scale storage clusters, including monitoring, logging, and alerting as well as work with AI/ML workloads to capture and correlate behavior in large clusters and workflows, which are otherwise hard to understandExperience in coding - C, Golang, PythonExcellent written and verbal interpersonal skills, including the ability to author original content (both written and presentations)Lead and influence and work with an elite team of hardware and software engineersStrong leadership skills and a creative and collaborative attitude and must be a self-motivated individual who can work through a problem from start to finish and proven ability to think creatively and be innovative, you have an aptitude to thrive in a high-energy, dynamic environmentWays To Stand Out From The Crowd:Hands-on Technical marketing experience with large-scale networking solutions targeted at public/private cloudKnowledge about RAG (Retrieval Augmented Generation) Vector DB, NVIDIA's LLM services.Experienced in creating compelling collateral, writing blogs on, and speaking publicly about data center networking innovationsConducted performance benchmark or bakeoff plus background with container-centric application deployments and lifecycle managementNVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Our GPUs are being used in many of the largest HPC projects around the world, solving real-world problems. In 2020, NVIDIA acquired Mellanox Technologies as well as Cumulus Networks, creating a network infrastructure powerhouse NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you.The base salary range is 124,000 USD - 195,500 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.

DESCRIPTIONAmazon Web Services (AWS) internships are for 12 consecutive weeks during summer. By applying to this position, your application will be considered for all locations we hire for in the United States.Amazon Redshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift.About the teamDistributed data management is at the heart of Amazon Redshift data analytics services and is responsible for delivering ultra-fast and highly scalable performance. We are building and operating large scale, distributed, fault-tolerant data and transaction management solutions using specialized data structures, distributed consensus algorithms and many other advanced technologies. We are working with AWS platform teams in shaping requirements and solutions for next generation platforms to run database/analytics applications.Our team consists of industry leading innovators, with multitudes of patents and research publications in this space. We are a fun-loving team, that is passionate about ideating, designing, delivering and operating data analytics services to delight customers with extreme performance and scalability. We are distributed across many locations in US, Germany, and are expanding in other geographies.If you are interested to contribute to the next generation hyper-scale data analytics services and architecture, are curious and get things done, we would like you to consider our team.Key job responsibilities• Design, implement and deliver state-of-the-art distributed, high-performance data and transaction management processing algorithms and solutions.• Deploy and monitor new features in a highly available and fault tolerant system running in the cloud.This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact. If this sounds exciting to you - come build the future with us!We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS• Pursuing bachelor's degree or higher in Computer Science or related field with graduation conferral date after December 2024• Programming experience with C or C++• Internship, project, or academic experience in at least one of the areas: internals, kernel, OS/storage systems, job scheduling, resource management, file systems, search, or performance engineeringPREFERRED QUALIFICATIONS• Pursuing Master's or PhD Degree with focus on Systems / Information Theory, Databases, Computer Science, Computer Engineering, or related• Strong knowledge of Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis• Strong software development skillsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $42.50/hr in our lowest geographic market up to $96.15/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONAWS has the largest network in the world, and we hold the network information for it. If this does not provide the engineering marvel and excite you enough, think of the problems of scale to solve as a software engineer (storage, search, performance, freshness), the under the hood view of the largest network for Cloud Infrastructure, and the opportunities of data analytics hidden in the network data we hold, and therefore the future systems that can be built to power AWS Network Management Systems. As a Software Development Engineer at AWS, you are driving a wave of innovation and bringing sweeping changes to the way we manage our networks. You are developing software that allows us to build the most reliable, available and self healing network in the world. Virtualization, incredible scale, hardware commoditization, and automation are revolutionizing networking and network software. In AWS Networking, we leverage big data technologies and analytics software to run one of the largest networks in the world. We push the boundaries of robustness, fault-tolerance and smart adaptive algorithms that can react intelligently to real-world events. And with large language models (LLMs) gripping the industry by storm, this is your time to make history by building large-scale intelligent, distributed software systems.The AWS network is composed of millions of heterogeneous network devices, all of which need to be managed in a consistent manner, abstracted away from platform-specific differences, and reduced in complexity for our customers. The Network Data Management Systems have an exciting charter to provide scalable platform services for building authoritative data services for the Amazon Network. We are the network datastore for All network devices and our team offers a set of services and APIs which work in tandem to share this authoritative view with the core services needed to run the AWS network.Come build the future of networking at AWS.Key job responsibilitiesAs a Software Development Engineer, you’ll have a unique opportunity to shape the development of the world’s largest and most complex networks. In addition, you will:• Work closely with fiber engineering customers, AWS software teams and stakeholders to build geospatial data solutions. • Write high quality distributed system software.• Enjoy seeing the impact the work has on customers.About the teamAWS Global Connectivity and Network Availability (GCNA) is the backbone that connects the global AWS network. Focused on controlling the internet traffic that allows users to access their information and applications regardless of where they are in the world. GCNA is responsible for building and designing a complex backbone network that allows internet traffic to flow efficiently between data centers and customers.Come join us and enjoy the satisfaction that comes from successfully building software to scale and providing insights about one of the world’s biggest networks.Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Our inclusive culture empowers Amazonians to deliver the best results for our customers. We not only celebrate the diversity of our workforce, we celebrate the diverse ways we work. If you would like to request an accommodation for the interview or onboarding process, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting https://www.amazon.jobs/en/disability/us Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Working at AWS on the GCNA Team • Meet Robert, VP: https://youtu.be/8v5i42FL02wWe are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USA | Seattle, WA, USABASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $134,500/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.

NVIDIA is hiring senior distributed systems engineers to develop and scale its AI and deep learning platforms. Together, we will build the software 2.0 cloud platform for one of the most exciting problems of our time: autonomous vehicles! This role is software engineering to support our autonomous vehicles program MLOps platform team by working with the large volumes of data that flows from vehicles into the data center to be used by ML engineers for training and analysis.What you'll be doing:Design and build scalable and distributed services that handle data flowing through the ML data pipeline.Develop infrastructure and microservices that index, mine, transform, and compose PB sized deep learning datasets.Supporting partner teams by developing data as a service solutions to allow them to find and leverage data and datasets.Be a technical leader on various projects across the platform, and be a hands-on major contributor of the entire platform's architecture.Develop APIs and interfaces for users to efficiently access their data.What we need to see:Bachelors or equivalent experience in Computer Science, Electrical Engineering or related field.5+ years of experience in a similar or related role.Strong programming background that incorporates methodologies like data structures, design patterns, OOP, and test driven development.Solid technical foundation and a deep understanding of cloud technologies, distributed compute systems, and distributed systems and microservices architecture.Advanced programming skills to build distributed storage and compute systems, backend services, microservices, and web technologies.Strong programming skills with hands-on coding expertise.A specialist programmer in Go and Python.Ability to craft technical design requirements and architecture in an agile environment.Experience delivering production grade systems at PB scale.Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate across organization boundaries and geographies.Ways to stand out from the crowd:Advanced programming expertise in Scala or Python.Experience with search and vector database systems as well as experience with Kubernetes and Docker.Interest in collaborating and supporting development infrastructure like CI/CD and DevOps.Curiosity to understand new technologies, different approaches, and learning from the organization.Displays of systematically developing trust with customers and coworkers.The base salary range is 148,000 USD - 276,000 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.#deeplearning

Job Title: Optical Engineer Location: Santa Clara, CA Project Details: Our Client is a leading cloud networking company. This team is the Electrical Design Validation Testing team, responsible for ensuring functionality of electrical components of the client's products. This role will be responsible for writing software scripts that automate the testing of products, and supports the Design Verification team with testing: 60% of time spent testing, other 40% programming/writing scripts. Must Have Skills: 2-5+ years experience in hardware/electrical validation Networking background - Cisco/Juniper; Electronics/Devices/Storage/etc.) SMBus/PCIE knowledge (protocol device on the system that communicates with different peripherals, this is related to Electrical Engineering) Experience working with PCBs-printed circuit boards Hardware experience required example: Debugging FRUs (optics, DAC, power supplies, etc.), lab experience with electrical test equipment (Keysight DCA, Chroma power meters) Strong experience configuring systems with optics tuning and analyzing signal integrity using an oscilloscope Experience working with 4-5 projects at the same time Experience working in Linux environments (Unix/Windows ok) Strong hardware testing experience (understands test plans, test scripts, process, etc.) Experience writing automation scripts (Python preferred; Shell/TCL/Except ok) Need to have proven experience creating scripts from scratch that connect various servers/devices together, not just modifying single lines of code Fundamental knowledge of OOP and data analytics libraries (Pandas, Numpy, Matplotlib) Python is used to automate hardware testing Excellent knowledge of complex system level debugging and root cause analysis (i.e. understanding interrelated components working together in hardware and finding the issue that is causing an error) Ability to carry and move 15-30 pounds (for transporting/handling large systems/hardware) B.S. Electrical Engineering or Computer Science Nice to have skills: Experience in Telnet/SSH - a way to connect to computers/servers remotely Experience with PCB schematics and board layout Additional details:EDVT Team is 10 other engineers of both hardware/software expertise.Day to day responsibilities: Perform Electrical Design Verification Tests (EDVT) Travel to lab and configure electrical test equipment. Analyze signal integrity and configure with optics tuning. Develop and execute system and component level test plans Develop and execute Python test scripts to perform EDVT Support sustaining qualification Perform optics tuning-test the signal integrity of cables Find and resolve EDVT issues early in the development cycle by actively working with the diagnostic and hardware design teams Closely interface/engage with cross functional product teams (HW, SW, NPIE, MFG, PM) to address any EDVT dependencies to meet the project milestones TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Get job alerts by email. Sign up now!

Job Title: Validation Engineer Project Details: Our client is a leading cloud networking company. This team is the Electrical Design Validation Testing team, responsible for ensuring functionality of electrical components of the client's products. This role will be responsible for writing software scripts that automate the testing of products, and supports the Design Verification team with testing:60% of time spent testing, other 40% programming/writing scripts. Must Have Skills: 3-5+ years experience in hardware/electrical validation Networking background - Cisco/Juniper; Electronics/Devices/Storage/etc.) SMBus/PCIE knowledge (protocol device on the system that communicates with different peripherals, this is related to Electrical Engineering) Experience working with PCBs-printed circuit boards Hardware experience required example: debugging issues with optics or loopbacks (like cables/optics/etc). Experience working in Linux environments (Unix/Windows ok) Strong hardware testing experience (understands test plans, test scripts, process, etc.) Experience writing automation scripts (Python preferred; Shell/TCL/Except ok) Need to have proven experience creating scripts from scratch that connect various servers/devices together, not just modifying single lines of code Python is used to automate hardware testing Excellent knowledge of complex system level debugging and root cause analysis (i.e. understanding interrelated components working together in hardware and finding the issue that is causing an error) Ability to carry and move 15-30 pounds (for transporting/handling large systems/hardware) Experience managing 3-4 projects at the same time. B.S. Electrical Engineering or Computer Science Nice to have skills: Understanding of signal integrity and long cable testing-used for optical testing Experience in Telnet/SSH - a way to connect to computers/servers remotely Additional details:EDVT Team is 10 other engineers of both hardware/software expertise.Day to day responsibilities: Perform Electrical Design Verification Tests (EDVT) Develop and execute system and component level test plans Develop and execute Python test scripts to perform EDVT Support sustaining qualification Perform optics tuning-test the signal integrity of cables Find and resolve EDVT issues early in the development cycle by actively working with the diagnostic and hardware design teams Closely interface/engage with cross functional product teams (HW, SW, NPIE, MFG, PM) to address any EDVT dependencies to meet the project milestones Remote Info: Working on-site in Santa Clara 95054 TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Get job alerts by email. Sign up now!

The NVIDIA GPU Cloud (NGC) organization is looking for passionate software support engineers to partner closely with our internal customers to support them on our internal platforms. This partnership requires you to gain a deep understanding of the customer needs, how their application(s) work, assist them in troubleshooting issues, and create documentation to make it easier for users to troubleshoot issues themselves. The support you provide will help our users have a better experience and help shape our platform. We expect you to have knowledge of supporting cloud-based deployments across compute, storage and networking environments.What will you be doing:Partner with multiple internal teams to provide Tier 1 support for complex cloud platformsTriage/investigate root cause of customer issues and escalate as neededFile bugs and report issues while working closely with the Site Reliability teamBuild tooling to improve customer support process and visibilityDocument best practices, solutions, knowledge base articles, how to's, and blog postsDeeply understand user workloads and use casesPartner with multiple internal teams to give feedback to engineering teams and develop solutions to aid in their successBe part of an on call rotation to support production systemsWhat we need to see:BS/MS degree in Computer science or related areas (or equivalent experience)2+ yrs of experience with supporting distributed software systems2+ yrs of experience supporting end user software platforms2+ yrs of experience with LinuxExperience with KubernetesExperience with AWS, Azure, OCI, and GCPBackground of Infrastructure, Networking, Storage, DevOps scripting/tooling, Customer Service/SupportUnderstanding of data storage technologies (databases, file, block, blob)Willingness to work up and down the stack as well as across multiple teamsWays to stand out from the crowd:Willingness to become an expert in DGX CloudKubernetes Admin ExperienceA strong drive to work with internal customers and make them successfulA drive to improve process with strong organizational skillsNVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing 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 looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.The base salary range is 76,000 USD - 166,750 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.

Joining NVIDIA's AI Efficiency Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of ML workloads, as well as developing scalable AI infrastructure tools and services. Our objective is to deliver a resilient and scalable environment for NVIDIA's AI researchers, providing them with the necessary resources and scale to foster innovation.As a Technical Program Manager (TPM) on this team, you'll confront and oversee the unique challenges of building and maintaining the AI and data infrastructure necessary for training flagship models at an unprecedented scale. Your focus will be on increasing researcher productivity, as well improving system stability, availability and performance.What you'll be doing:Understand the challenges of training foundational models: Delve into the specific workflows and resource requirements of training innovative LLMs and Generative AI models. Identify the problems, scaling limitations, and failure points that researchers encounter.Engineer Scalable and Resilient Solutions: Design, implement, and continuously refine highly scalable AI/ML infrastructure. Prioritize fault tolerance, automated recovery mechanisms, and proactive monitoring to minimize disruptions to critical research projects.Increase Researcher Velocity: Develop streamlined processes for resource allocation, model deployment, and experimentation tracking. Collaborate closely with researchers to ensure the infrastructure seamlessly supports their rapidly evolving needs.Lead Complex Technical Projects: Own the planning, execution, and delivery of complex infrastructure projects in a dynamic, fast-paced research environment. Balance agility with meticulous attention to detail, risk assessment, and long-term maintainability.Collaborate for Success: Partner with diverse teams across engineering, research, and operations to drive solutions that address the complexities of large-scale AI development.Resource Matching and Optimization: Collaborate with researchers to understand their computational needs (compute, memory, networking bandwidth, storage performance) and ensure optimal resource utilization.Data Access and Pipelines: Design high-throughput data pipelines and storage solutions that seamlessly integrate with researcher workflows, enabling efficient access to massive datasets.What We Need To See:BS or MS Degree or equivalent experience 8+ years of Program management experience within same or similar industries Technical Expertise: Deep understanding of cloud infrastructure, distributed systems, large-scale ML/HPC workloads, Kubernetes, Slurm, and AWS services. Experience in handling petabyte-scale data and extreme-scale systems with 10s of thousands of compute nodes is a plus.Experience managing projects with one of the following workloads: ML (e.g., training and deploying large machine learning models) or HPC (e.g., deploying Hardware and Software needed to run large batch compute jobs).Experience within Cloud Infrastructure, particularly with compute, networking, and storage.Software Development Background: Familiarity with AI/ML frameworks Project Management Mastery: Demonstrated Ability to manage numerous projects, prioritize in a high-pressure setting, identify and mitigate risks, and ensure on-time delivery.Researcher-Centric Focus: Demonstrated ability to empathize with researchers, understand their problems, and translate their needs into technical requirements and map them to the abilities of AI infrastructure engineers and teams. Excellent communication and collaboration skills are essential.Understanding of data pipeline requirements for large-scale ML training. This includes awareness of data throughput needs, data preprocessing steps, and potential bottlenecks. Familiarity with tools like Apache Spark or Ray is a plus.Background in evaluating and selecting data storage solutions (HDFS, object storage, distributed file systems, such as Lustre) based on cost, performance, and research requirements.The base salary range is 124,000 USD - 247,250 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.

Backend Engineer - Contract - Santa Clara, CA - $70-$100/HRThe final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.Applicants must be legally authorized to work in the United States. Visa sponsorship not available.Our client is seeking a Backend Engineer in Santa Clara, CA.Role DescriptionYou will design, implement, and maintain services that power MLOps capabilities, using your skills to help Data Scientists, Data Engineers and multiple Technology Service departments manage the end-to-end ML lifecycle. Functional Conceive and develop the backend systems & services Collaborate as a backend developer to optimize our systems and platforms. Build and implement backend servers, REST APIs, data pipelines, etc. Drive architectural decisions and work with data science teams to fine-tune machine-learning algorithms. Take ownership of complete delivery from ideation and defining requirements to go-live. Collaborate with backend engineers, frontend engineers, designers and product managers to deliver delightful customer experiences. Collaborate, coach, and mentor colleagues in an energetic, growing team. Manage stakeholders and drive larger business goals. Keep abreast of the latest technology trends. Coach, mentor and advise junior engineers. Document and track project workflows & best practices. Skills and attributes for success The yardsticks of your success would include cost savings, number of successful projects, number of new and existing solutions & processes optimized, and customer NPS.To qualify for the role, you must have Bachelor of Computer Science, Computer Engineering, Software Engineering, or related field 3+ years plus industry experience Knowledge and experience of the Kubernetes ecosystem, Docker and Docker Compose High level experience with backend application frameworks such as Spring, Flask, Fastapi, Hasura, Swagger, SonarQube, CI/CD, Hibernates, etc.Knowledge of Cloud platforms: AWS, Azure, GCP Knowledge of Server Technologies: event-pipeline, pub/sub, data streaming, distributed caching, computing and storage, ESB, ELK Benefits/Other Compensation:Medical, Dental, Life Insurance, 401K.Why Hays?You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.Nervous about an upcoming interview? Unsure how to write a new resume?Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing.' We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.Drug testing may be required; please contact a recruiter for more information.