Infrastructure 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.

NVIDIA's Cumulus Linux Release Engineering team is seeking a Senior Linux Systems Software Engineer with extensive experience in DevOps, and software configuration management. You will play a critical role in developing and implementing software tools for improving developer productivity, organizational efficiency and improving the software build and release infrastructure.This highly visible Engineering Organization is responsible for building the Network Operating System software that powers data centers that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high performance computing.What you'll be doing:Managing, monitoring, and enhancing software image builds and configuration to drive troubleshooting and resolutions.Maintaining and enhancing existing Debian based build system, making files and buildomg scripts and package repositories.Running code scans, static and dynamic analysis tools, and publishing results.Collaborating with other teams to support new configurations of Cumulus Linux images.Building and managing the Continuous Integration pipeline for different image configurations.Scaling Engineering Infrastructure to support growth.What we need to see:B.S. degree or equivalent experience in Engineering/Computer Science related field.5+ years of proven experience in Software Tools Engineering or Systems Engineering.Good understanding of Debian Linux systems, system boot process, software installers, and .deb or .rpm packaging.Solid knowledge of build automation systems, and Software Configuration Management and Continuous Integration systems like Jenkins, GNU Make, Jira, Git.Strong programming knowledge using Python, Bash, etc. and familiarity with virtualization tools like Docker and QEMUStrong communication and interpersonal skills along with ability to work in a dynamic and global team.A desire to constantly grow and learn new things.NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us to provide capabilities to the life sciences industry which could not be imagined even a few years ago. If you're creative and love building the next generation of technologies that will be used throughout the world and have a real passion for technology, we want to hear from you.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.

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.

DESCRIPTIONCome join the Backbone of Amazon SageMaker. Be part of the team that powers Amazon SageMaker's continued innovation and helps build the future of machine learning!As part of Shared Services, you will build and operate the mission-critical platform services that enable Amazon SageMaker to deliver a seamless machine learning experience at scale.Our services handle billions of requests each day to support key functions like authentication, authorization, traffic management, billing, compliance, and more for SageMaker components.We are a customer obsessed team dedicated to providing reliable, scalable, and cost-effective infrastructure to accelerate delivery of new capabilities. This is a unique opportunity to develop foundational platforms that will shape the future of an industry-leading product. You will employ the latest technologies like containers, serverless, and modern databases to solve complex problems.Our tight-knit team values ownership, creativity, and working collaboratively with partners. We move fast, learn quickly, and release often to delight our customers. As part of Shared Services, you will:* Architect and operate core platform services at massive scale* Employ cutting-edge technologies like DynamoDB, Kinesis, Lambda, EC2, etc.* Measure and improve key metrics like reliability, performance, security* Automate manual processes to improve efficiency * Collaborate closely with product and engineering teams* Promote best practices in security, compliance, and operational excellenceIf you are passionate about building robust and innovative platforms that amplify productivity, we want you on our team!We are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ 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 $115,000/year in our lowest geographic market up to $223,600/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.

DESCRIPTIONThe role will provide the opportunity to define solutions to cutting edge problems, design scalable systems, and implement them using state-of-the-art big data and machine learning/deep learning services and frameworks.Our ideal candidate thinks like a business owner, has an entrepreneurial outlook and loves to pitch in anywhere to get the job done. They have a team first mentality and care deeply about the team’s culture and success. They thrive in ambiguity, build trust, move fast, and have a persistent desire to improve how things are done. They lead by example and influence the team with their engineering expertise and decision-making abilities. They can communicate effectively (verbal, written, and listening) with a wide variety of audiences and are comfortable pitching new ideas.We use a serverless stack built on top of services like Amazon API Gateway, AWS Lambda, Amazon DynamoDB, Amazon SageMaker, AWS Glue, AWS Step Functions etc. and frameworks like Apache Spark, PyTorch etc. We deploy our services to multiple AWS regions with infrastructure developed using AWS CDK. We are flexible on choosing programming languages and, as of now, primarily use Kotlin, Python and Typescript.We believe that investing in employee growth to develop capable future leaders is essential for the continued long-term success of both our product and Amazon. We strive to provide ample resources and opportunities to help develop future leaders so Amazon can continue to succeedWe are open to hiring candidates to work out of one of the following locations:Santa Clara, CA, USABASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ 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 $115,000/year in our lowest geographic market up to $223,600/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.

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

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.

NVIDIA is hiring engineers to scale up its AI Infrastructure. We expect you to have a strong programming background, a deep understanding of distributed systems, familiarity with software testing and deployment, and excellent communication and planning abilities. We also welcome out-of-the-box thinkers who can provide new ideas with strong at execution bias. Expect to be constantly challenged, improving, and evolving for the better. You and other engineers in this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science. What are you waiting for if you're creative, passionate about what you do, and love having fun apply today!For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning.What you will be doing:We are designing and architecting a comprehensive platform that automates GPU asset provisioning, configuration, and lifecycle management across cloud providers.Implementing monitoring and health management capabilities that enable industry leading reliability, availability, and scalability of GPU assets. You will be harnessing multiple data streams, ranging from GPU hardware diagnostics to cluster and network telemetry, we can predict system failures in order to optimize workload success rates.Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.What we need to see:Highly motivated with strong communication skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.10+ years of software engineering experience on large-scale production systems.You possess a BS in Computer Science/Engineering/Physics/Mathematics or other comparable Degree or equivalent experience.Expert level knowledge of a systems programming language (Go, Python) and a solid understanding of Data Structure and Algorithms.Understanding of performance, security and reliability in complex distributed systems. Familiarity with system level architecture, data synchronization, fault tolerance and state management.Ways to stand out from the crowd:Proficiency in architecting and managing large-scale distributed systems, independent of cloud providersAdvanced hands-on experience and deep understanding of cluster management systems (kubernetes, Slurm, Bright Cluster Manager)Proven operational excellence in designing and maintaining AI infrastructureNVIDIA 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 on the planet working for us. If you are 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.

About MarvellMarvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, and carrier architectures, our innovative technology is enabling new possibilities.At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.Your Team, Your ImpactCentral Engineering AMS-IP team provides leading-edge SerDes PHY solutions and other Analog Mixed-Signal IPs to support all Marvell products.What You Can ExpectASIC design engineer responsible for planning and coordinating the design, verification, and evaluation of analog mixed-signal circuits in high-speed data communication ICs. The candidate will work closely with digital design, design verification, firmware, and analog design engineers to ensure that projects are completed on time and in high quality.The responsibilities include but are not limited toCollaborate with Analog/DSP/DV/FW/AE teams to coordinate the delivery of competitive SerDes IP solutions for all the Marvell product lines.Understand and improve the unique in-house design methodology and flow.Provide support to the product teams for both pre and post silicon.Lead the development and execution of analog mixed-signal developmentWork with cross-functional teams to define requirements, create schedules and budgets, manage risks, and communicate with stakeholders.Develop and maintain relationships with key stakeholders.Identify and mitigate risks to project success.Track and report on analog mixed-signal IP development progressContinuously improve project execution processesWhat We're Looking ForBachelor's degree in Computer Science, Electrical Engineering or related fields and 5-15 years of related professional experience.Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5-10 years of experience.Good personal communication skills and team working spirit.Hardworking and motivated to be part of a highly competent design team.Must Be Proficient In The Following SkillsFundamental concepts in high-speed analog mixed-signal SerDes designFundamental concepts in digital design, design verification, and timing closureConcepts in physical and layout designExcellent cross-discipline communication and interpersonal skillsAbility to work independently and as part of a teamStrong problem-solving and decision-making skillsHighly Desirable SkillsExperience with design flow and methodologyExperience with silicon validation supportExperience with power analysis and optimizationExpected Base Pay Range (USD)136,880 - 205,000, $ per annumThe successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.Additional Compensation And Benefit ElementsAt Marvell, we offer a total compensation package with a base, bonus and equity.Health and financial wellbeing are part of the package. That means flexible time off, 401k, plus a year-end shutdown, floating holidays, paid time off to volunteer. Have a question about our benefits packages - health or financial? Ask your recruiter during the interview process.This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at [email protected].