AbbottSanta Clara, California, United States · On-site
$131k–$261k/yr
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnost…
Skills: AI/ML Engineering, MLOps, Cloud Infrastructure, CI/CD, GenAI
Santa Clara, California, United States · On-site
$104k–$156k/yr
Company:Qualcomm Atheros, Inc. Job Area:Engineering Group, Engineering Group > Systems Test Engineering General Summary: **This position is not eligible for Qualcomm immigration sponsorship.** ResponsibilitiesPerform Sys…
Skills: WLAN, Bluetooth, Python, TCP/IP, System testing
Santa Clara, California, United States · Remote OK
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology an…
Skills: Business strategy, Consulting, Cybersecurity, Financial analysis, ROI modeling
Santa Clara, California, United States · On-site
Postion Summary: In this role, you will be working as a SW engineer in the lab & field test team working in various wireless test programs. The work will involve RF test system design, test setup, test scripts developmen…
Skills: Python, RF Test System Design, Test Automation, Wireless Communication, Git
Santa Clara, California, United States · On-site
$148k–$288k/yr
We are now looking for a Technical Program Manager, Silicon Product Definition. The NVIDIA Program Operations group has an immediate opening for a top Technical Program Manager. This group is responsible for the product …
Skills: Semiconductor Development, Computer Architecture, Program Management, Product Lifecycle Management, Silicon-based Product Development
Santa Clara, California, United States · On-site
$212k–$292k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: IP Licensing, Contract Negotiation, Joint Development Agreements, IP Acquisitions, Legal Counseling
Santa Clara, California, United States · On-site
$140k–$210k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-g…
Skills: Asic Design, Verification, Validation, Integration, Rtl To Gds Flow
Santa Clara, California, United States · On-site
$116k–$190k/yr
NVIDIA's groundbreaking invention of the GPU in 1999 not only sparked the growth of the PC gaming market but also redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning…
Skills: Thermal engineering, Mechanical engineering, Electrical engineering, Board design, Automotive systems
Santa Clara, California, United States · On-site
$152k–$311k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Talent acquisition, Sourcing, Leadership, Data-driven strategy, Stakeholder management
Santa Clara, California, United States · On-site
$320k–$489k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Embedded firmware, System software, Engineering leadership, CPU architecture, SoC initialization
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Semiconductor manufacturing, Failure analysis, Technical documentation, Product support, FMECA
Santa Clara, California, United States · On-site
$136k–$276k/yr
NVIDIA has an incredible opportunity in our Global Logistics Execution team to build and lead our end-to-end logistics workflows across a rapidly scaling network! This role will play a critical part in developing our exp…
Skills: Logistics management, Program management, Supply chain management, Transportation management, SAP TMS
Santa Clara, California, United States · On-site
$212k–$292k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: IP Licensing, Contract Negotiation, Joint Development Agreements, IP Acquisitions, Legal Counseling
Santa Clara, California, United States · On-site
$224k–$357k/yr
NVIDIA is looking for a Machine Learning Engineer to join the GPU accelerated Apache Spark team. Apache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL, a…
Skills: Apache Spark, Machine Learning, GPU Acceleration, Python, Numpy
Santa Clara, California, United States · On-site
$320k–$489k/yr
The era of AI is here — and it's transforming how machines learn, reason, and interact with the world. Today, AI-powered autonomous vehicles can navigate rural roads at night, understand dynamic environments, and make re…
Skills: C++, C, CUDA, GPGPU, Linux
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Materials management, Supply chain management, Procurement, Strategic sourcing, Contract negotiation
Santa Clara, California, United States · On-site
$108k–$196k/yr
NVIDIA is looking for enthusiastic New College Graduates to join the Applied Systems Engineering team in a 12-month rotation program. ASE engages with the entire lifecycle of next-generation AI supercomputing pre-cluster…
Skills: Linux, Python, C, C++, Java
Santa Clara, California, United States · On-site
$131k–$196k/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: Python, Shell scripting, Automation, DSP, PHY
Folsom, California, United States · Hybrid
$156k–$220k/yr
Job Details: Job Description: About Us The Technology Development (TD) Quality and Reliability organization enables successful deployment of Intel's leading-edge process technologies through silicon-based quality, reliab…
Skills: Memory testing, SRAM, Register file, Fuse array, Silicon characterization
Santa Clara, California, United States · On-site
$136k–$219k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: EDA, ECAD, Cadence System Capture, SPB Allegro Layout, Cadence SKILL
Abbott
Santa Clara, California, United States • On-site
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The Senior Staff AI/ML Engineer will lead the architecture, scalability, and operational excellence of enterprise AI platforms for medical device initiatives. This role involves bridging advanced AI innovation with production-grade engineering while ensuring compliance with regulatory standards.
Candidates must have a Bachelor's degree in a technical field with at least 8 years of experience, or a Master's/PhD with equivalent professional experience. Proficiency in cloud-based ML infrastructure, MLOps, and regulatory environments like FDA or HIPAA is required.
Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.
At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:
Career development with an international company where you can grow the career you dream of.
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
An excellent retirement savings plan with high employer contribution
Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
This Senior Staff ML Ops Engineer position can work out of our Santa Clara, CA location.
Senior Staff ML Ops Engineer will provide technical leadership for Abbott's Medical Devices Digital (MDD) AI initiatives, driving the architecture, scalability, and operational excellence of enterprise AI platforms. This role bridges advanced AI innovation with production-grade engineering, defining technical strategy, establishing best practices for MLOps and AI governance, and leading the design and evolution of robust, scalable AI infrastructure. The Senior Staff ML Ops Engineer will partner closely with data scientists, algorithm developers, infrastructure teams, product leaders, and cross-functional stakeholders to accelerate the deployment of AI solutions, ensure reliability and compliance, and influence the long-term AI technology roadmap across the organization.
Architect a highly available, secure, scalable cloud/on-prem hybrid ML infrastructure that includes data ingestion, annotation, feature engineering, training, validation, deployment, and monitoring.
Engage directly with ML scientists and act as the team’s bridge/glue between science and engineering.
Implement robust CI/CD workflows for ML models, including testing, rollout, rollback strategies, and compliance governance.
Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as a Medical Device (SaMD) guidelines.
Drive alignment and adoption of architecture strategy with business leaders.
Mentor and guide ML engineers and SW engineers, establish coding standards, and conduct detailed design and architectural reviews.
Bachelors Degree in Computer Science, Engineering Mathematics, or related field.
Minimum 8+ years of experience, Master’s Degree with 6+ years of related experience, or Ph.D. with 4+ years of related experience.
Deep experience building ML infrastructure for experiment tracking, model training, data versioning, annotation tools, model serving, monitoring and observability.
Experience with GenAI and Agentic AI development infrastructure including grounding, RAG, MCP and prompt engineering.
Experience developing AI products on cloud computing platforms (e.g., AWS, Azure, Google Cloud), containerization technologies (e.g., Docker, Kubernetes), pipeline orchestration tools (e.g. Airflow), IaC (e,g., Terraform).
Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.
Strong understanding of database technologies (e.g., SQL, NoSQL) and data modeling principles.
Significant experience working with agile software development methods, such as scrum and Kanban and working within CI/CD pipelines.
Experience incorporating Security by Design principles into AI product development.
Experience of senior executive/leadership engagement.
Exposure to various aspects of architecture practices and frameworks: business, application, data, security, infrastructure and governance.
Experience with microservices architecture and distributed systems.
Experience in reviewing and selecting Technical and Applications Architectures solutions.
Certifications and specializations in AI/ML, LLMs and Cloud platforms.
Excellent oral, written and presentation communication skills.
Team leadership experience and demonstrated mentorship capabilities.
Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products).
Experience with FDA 510(k) submissions and clinical-grade ML product development.
Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy.
Publications, patents, or notable contributions to open-source projects.
Background in signal processing, computer vision, or multimodal learning.
Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning.
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal
#software
In specific locations, the pay range may vary from the range posted.
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEOEnglish.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEOSpanish.pdf
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and www.facebook.com/AbbottCareers, on Instagram @AbbottGlobal, and on X @AbbottNews. We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce. Terms of Use: https://www.abbott.com/social-media-terms-of-use.html Privacy Policy: https://abbo.tt/privacy
Offices: 100 Abbott Park Road, Abbott Park, Illinois 60064-3500, US
Based on 2734 listings with disclosed salaries, most technology jobs in Santa Clara, CA pay between $116k–$288k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,954 open technology positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, NVIDIA, ServiceNow, AMD, Qualcomm, among others. Browse the listings above to see every active employer.
Yes — 592 of the 2954 open technology positions offer remote or hybrid work (133 remote, 459 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
