Santa Clara, California, United States · Remote OK
$272k–$431k/yr
Today, we’re harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing wh…
Skills: Storage architecture, People management, Production engineering, Distributed storage, Parallel file systems
San Francisco, California, United States · On-site
$230k–$286k/yr
Senior Lead AI Engineer (MLXT) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to cre…
Skills: Python, Go, Scala, Java, Machine Learning
San Jose, California, United States · Hybrid
$95/hr–$109/hr
Mercedes-Benz Research & Development North America, Inc. (MBRDNA) is seeking a Software Compliance Engineer (contract) to serve as a key technical advisor on the legal team to ensure that product and engineering developm…
Skills: Software compliance, Regulatory compliance, Technical advisory, Export compliance, Risk assessment
Irvine, California, United States · Hybrid
$115k–$213k/yr
Team Name: Global Insights Job Title:Senior Program Manager, Applied Science | Irvine, CA Requisition ID:R027870 Job Description: For more than three decades, Blizzard has embraced technological evolution - not for its o…
Skills: Program management, Applied science, Machine learning, Cross-functional planning, Technical requirements gathering
Los Angeles, California, United States · Hybrid
We are Farmers – where ambition meets opportunity. At Farmers, we’re not just known for unforgettable jingle – we’re a team with a passion for purpose and making a real difference in people’s lives. We deliver peace of m…
Skills: Data science, Machine learning, Predictive modeling, SQL, Python
California, United States · Remote OK
$200k–$268k/yr
Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice a…
Skills: Product Management, Software Engineering, AI, API Development, Product-Led Growth
Santa Monica, California, United States · On-site
$168k–$227k/yr
Come build the future of data streaming with the Amazon Managed Streaming for Kafka (MSK) team! We are seeking builders for our Amazon MSK service, a fully managed service that makes it easy for customers to build and ru…
Skills: Software development, Apache Kafka, Data streaming, System architecture, Cloud computing
Sunnyvale, California, United States · On-site
$172k–$222k/yr
We are seeking an Applied Scientist II to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and De…
Skills: Generative AI, Large Language Models, Diffusion Models, Machine Learning, Deep Learning
Irvine, California, United States · On-site
$144k–$194k/yr
Join a team building the next generation of GenAI-powered advertising experiences. Amazon Ads is innovating AI-driven advertising on Alexa, harnessing new technology to deliver actionable and relevant ad experiences to u…
Skills: Software Development, System Architecture, Distributed Systems, Ad Serving, Telemetry
Irvine, California, United States · On-site
$144k–$194k/yr
Build the technical foundation powering conversational advertising across Amazon Devices. Join Alexa Advertising to own critical infrastructure supporting conversational ads on Amazon devices. You'll build scalable syste…
Skills: Software development, Distributed systems, Cloud services, Backend technologies, Real-time streaming
Santa Monica, California, United States · On-site
$144k–$194k/yr
Come build the future of data streaming with the Amazon Managed Streaming for Kafka (MSK) team! We are seeking builders for our Amazon MSK service, a fully managed service that makes it easy for customers to build and ru…
Skills: Apache Kafka, Software development, System design, Cloud computing, Data streaming
South San Francisco, California, United States · Hybrid
$160k–$220k/yr
About AKASA At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and comm…
Skills: Technical program management, SDLC, Generative AI, Jira, Product management
Santa Clara, California, United States · Hybrid
$220k–$320k/yr
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.…
Skills: Program management, AI hardware, Software engineering, Systems engineering, Technical risk management
San Francisco, California, United States · Hybrid
$25/hr–$28/hr
Envoy protects the places the world relies on most by unifying people, spaces, and communications in one secure, integrated workplace management platform and ecosystem. More than 16,000 workplaces around the world trust …
Skills: Sales prospecting, Lead generation, Account research, Cold calling, Communication
San Francisco, California, United States · On-site
ABOUT SPHERE Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of …
Skills: Indirect taxation, Sales tax, VAT, GST, Tax research
Palo Alto, California, United States · Hybrid
$153k–$213k/yr
Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and com…
Skills: Full-stack development, TypeScript, Python, React, Node.js
Menlo Park, California, United States · Hybrid
$189k–$248k/yr
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just u…
Skills: Pre-sales, Solution engineering, Machine learning, Generative AI, SQL
San Francisco, California, United States · Hybrid
$167k–$170k/yr
Voice AI that resolves, not transfers. Most phone systems trap callers in menus and scripts. Vapi is the platform for deploying voice agents that know your business and can listen, adapt, and resolve in minutes. The numb…
Skills: Revenue operations, Sales operations, Pricing strategy, GTM engineering, Salesforce architecture
Santa Clara, California, United States · On-site
$210k–$314k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: ASIC design, SoC development, Photonic integrated circuits, Mixed-signal design, SERDES
San Francisco, California, United States · On-site
$125k–$234k/yr
The opportunity Adobe Design is looking for a Sr Product Designer to join the PDF Spaces incubation team within Document Cloud. You’ll work on one of the most ambitious new experiences in Acrobat reimagining how people i…
Skills: Product design, UX design, Visual design, Prototyping, Figma
Santa Clara, California, United States • Remote OK
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Lead and coach a team of Storage Production Engineers to design, deploy, and maintain large-scale, high-performance storage systems. Partner with engineering and AI/ML teams to optimize data pipelines, ensure system reliability, and drive operational excellence.
Requires a BS or MS in Computer Science or a related field with over 12 years of experience in large-scale storage architecture and operations. Candidates must have at least 6 years of leadership experience and hands-on expertise with parallel file systems, distributed storage, and infrastructure automation.
Today, we’re harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be surrounded by a diverse, encouraging atmosphere in which all individuals are motivated to perform at their highest level. Join our team and discover how you can build a lasting impact on the world.
At NVIDIA, our storage platforms support some of the most advanced AI and high performance computing work in the world. In this role, you will lead the team that keeps these systems fast, reliable, and ready to scale. You will work closely with engineering and AI teams, help shape how data moves through our platforms, and guide decisions on new storage technologies. This is a chance to grow people, improve systems, and see your work have clear impact.
Leading and coaching a team of Storage Production Engineers, creating a collaborative, inclusive, and learning focused environment.
Designing, deploying, and improving large scale storage systems, including distributed storage, parallel file systems, and object storage.
Using automation, monitoring, and analytics to make storage services more reliable, efficient, and easier to operate.
Owning capacity planning, data lifecycle management, cost awareness, and high availability and disaster recovery plans for storage.
Evaluating and adopting modern storage approaches such as NVMe over Fabrics, RDMA, high speed interconnects, and cloud based storage.
Guiding incident response and root cause analysis for storage issues, and putting in place changes that prevent repeat problems.
Partnering with engineering, DevOps, and AI/ML teams to improve data pipelines, access patterns, and workflow performance.
BS or MS in Computer Science, Storage Systems, or a related technical field, or equivalent experience.
12+ overall years of experience in large scale storage architecture, operations, production engineering, or infrastructure.
6+ years of people management or technical leadership experience with storage, infrastructure, or site reliability teams.
Direct experience managing infrastructure operations including on-call rotations, incident response, ongoing maintenance, troubleshooting, and optimization of production systems, managing SLOs and operational KPIs
Hands on experience with parallel file systems (such as Lustre or GPFS), distributed storage (such as Ceph or MinIO), and enterprise object or NAS platforms (such as S3 compatible systems, NetApp, or Pure Storage).
Strong knowledge of block, file, and object storage, including how to tune performance, protect data, and design for high availability.
Experience with storage networking and protocols like NFS, SMB, iSCSI, Fibre Channel, RDMA, and NVMe-oF.
Practical experience with automation and infrastructure as code using tools such as Terraform, Ansible, or Puppet.
Strong knowledge of monitoring and observability tools (for example Prometheus, InfluxDB, or Elastic stack), logging, and alerting used to operate and improve storage systems.
Experience managing and scaling SRE/Production Engineering teams in large scale, mission critical environments with focus on operational excellence, service availability, and performance
A track record of improving reliability, simplicity, and day to day operations for large, business critical storage systems.
Experience building or scaling storage for AI/ML or HPC workloads, including hybrid or multi cloud setups (for example AWS S3, Azure Blob, or Google Cloud Storage), as well as on-prem infrastructure
Experience with software defined storage, cloud native storage, and Kubernetes based storage orchestration.
A visible passion for mentoring, career development, and building a supportive, high performing team culture.
NVIDIA offers a comprehensive benefits package designed to support your physical, mental, and financial well‑being. This may include medical, dental, and vision coverage, mental health resources, retirement and 401(k) plans, an employee stock purchase plan, paid time off and holidays, family and caregiving leave, and a range of wellness and development programs. Specific benefits vary by location, but all are built to help you do your life’s work and grow your career at NVIDIA.
#LI-Remote
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
Based on 15057 listings with disclosed salaries, most software jobs in California pay between $125k–$275k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 18,288 open software positions in California listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Google, Apple, Amazon, NVIDIA, Qualcomm, among others. Browse the listings above to see every active employer.
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