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Reliability Engineer Salary in California, USA

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Reliability Engineer Salary in California, USA

10 000 $ Average monthly salary

Average salary in the last 12 months: "Reliability Engineer in California"

Currency: USD Year: 2024
The bar chart shows the change in the level of average salary of the profession Reliability Engineer in California.

Distribution of vacancy "Reliability Engineer" by regions California

Currency: USD
As you can see on the diagramm in California the most numerous number of vacancies of Reliability Engineer Job are opened in Sunnyvale. In the second place is San Jose, In the third is Santa Clara.

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Senior Site Reliability Engineer - Internal AI Research Clusters
Nvidia Corporation, Santa Clara
NVIDIA is the leader in AI, machine learning and datacenter acceleration. NVIDIA is expanding that leadership into datacenter networking with ethernet switches, NICs and DPUs NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!As a member of the GPU AI/HPC Infrastructure team, you will provide leadership in the design and implementation of ground breaking GPU compute clusters that run demanding deep learning, high performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for our GPU Compute Clusters. As a Site Reliability Engineer, you will help us with the strategic challenges we encounter including: compute, networking, and storage design for large scale, high performance workloads, effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and growth planning across our global computing environment.What you'll be doing:In this role you will be building and improving our ecosystem around GPU-accelerated computing including developing large scale automation solutions. You will also be maintaining and building deep learning clusters at scale and supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows. In this role, you will design, implement and support operational and reliability aspects of large scale large scale distributed systems with focus on performance at scale, real time monitoring, logging and alerting. Additional responsibilities include:Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholdersFinding and fixing problems before they occurBuilding automation for Cluster bring up and scaled up operation.Improving Operational Excellence and Processes.Write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the worldWhat we need to see:Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience with a minimum 5 years of experience designing and operating large scale compute infrastructure.Experience analyzing and tuning performance for a variety of AI/HPC workloads including workflows that uses MPIWorking knowledge of cluster configuration management tools such as Ansible, Puppet, Salt and experienced with AI/HPC advanced job schedulers, and ideally familiarity with schedulers such as Slurm, K8s, RTDA or LSFIn depth understating of container technologies like Docker, Singularity, Shifter, CharliecloudExperience learning development languages (Python, C++, Rust, PHP/Hack, Go, Java)Experience configuring and running infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc.Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issuesWays to stand out from the crowd:Experience with NVIDIA GPUs, Cuda Programming, NCCL and MLPerf benchmarkingBackground with Machine Learning and Deep Learning concepts, algorithms, modelsFamiliarity with InfiniBand with IBoIP and RDMAUnderstanding of fast, distributed storage systems like Lustre and GPFS for AI/HPC workloadsFamiliarity with deep learning frameworks like PyTorch and TensorFlowNVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with 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.
Datacenter Site Reliability Engineer
Kforce Inc, Los Angeles
RESPONSIBILITIES:Kforce is immediately adding a full-time Datacenter Site Reliability Engineer in support of our industry leading technology development client in Los Angeles, CA. Our client is seeking candidates who are driven to make positive changes to the way people live and work by creating breakthrough technology solutions.Overview: Data monitoring and alerting, data quality assurance and anomaly detection Document team processes and policies, including methods of engagement and SLOs Analyze, design, and implement solutions at the system level to remove bottlenecks and improve edge service performance Implement monitoring and alerting to improve issue detection and response Work in a fast-paced environment; Participate in technical operations and rotations in response to performance and reliability issues Participate in on-call rotations, responsible for resolving or escalating incoming events Maintain and operate a Linux and Kubernetes environmentREQUIREMENTS: Bachelor's degree or above, majoring in Computer Science or related fields, with at least 2 years of related work experience 3+ years of experience working with Unix Linux systems from kernel to shell and beyond Experience working with system libraries, file systems, and client-server protocols Experience reading python scripts for platform operations Experience in networking technologies such TCP/IP, BGP, DNS, etc. in a carrier-grade environment Experience in developing and operating one or more of following systems: OpenStack, Kubernetes, Nginx, ipvs, ELK stack, Hadoop, etc. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Datacenter Site Reliability Engineer
Kforce Inc, Los Angeles
RESPONSIBILITIES:Kforce is immediately adding a full-time Datacenter Site Reliability Engineer in support of our industry leading technology development client in Los Angeles, CA. Our client is seeking candidates who are driven to make positive changes to the way people live and work by creating breakthrough technology solutions.Overview: Data monitoring and alerting, data quality assurance and anomaly detection Document team processes and policies, including methods of engagement and SLOs Analyze, design, and implement solutions at the system level to remove bottlenecks and improve edge service performance Implement monitoring and alerting to improve issue detection and response Work in a fast-paced environment; Participate in technical operations and rotations in response to performance and reliability issues Participate in on-call rotations, responsible for resolving or escalating incoming events Maintain and operate a Linux and Kubernetes environmentREQUIREMENTS: Bachelor's degree or above, majoring in Computer Science or related fields, with at least 2 years of related work experience 3+ years of experience working with Unix Linux systems from kernel to shell and beyond with experience working with system libraries, file systems, and client-server protocols 2+ years of experience coding python scripts for platform operations Experience in networking technologies such TCP/IP, BGP, DNS, etc. in a carrier-grade environment Experience in developing and operating one or more of following systems: OpenStack, Kubernetes, Nginx, ipvs, ELK stack, Hadoop, etc. The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.