Artificial Intelligence Scientist Jobs in Santa Clara, CA
Artificial Intelligence Scientist jobs in Santa Clara are in strong demand, concentrated in the central business corridor near Great America Parkway, the Lawrence Expressway tech corridor, and the Mission College area, across semiconductors, cloud infrastructure, and enterprise software. Top employers hiring right now include AMD, Amazon Web Services, and NVIDIA. Find a role that fits below and apply directly.
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Showing 5 of 167+ Artificial Intelligence Scientist jobs
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Job Details:
- Locations: San Jose, CA or Santa Clara, CA
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Spring/Summer Co-op: January 15, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
- We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
- We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
- We may assign you to one or more of the following project work -
- Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
- Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
- Fixing and addressing problems with deployed AI to improve user experience
- Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
- You are currently enrolled in a US based University in a Master’s degree program majoring in computer science, computer engineering, data science / analytics, or a related field
- If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
- Machine learning, data science, computer vision, statistics, and mathematics
- Programming in Python, C/C++
- Relational (SQL) and no-SQL databases
- Machine learning algorithms and frameworks
- Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
- Familiarity with cloud (e.g., AWS, GCP, Azure)
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
Job Details:
- Locations: San Jose, CA or Santa Clara, CA
- Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
- Spring/Summer Co-op: January 15, 2027 - August 13, 2027
- Summer Internship:
- Semester Students: May 24, 2027 - August 13, 2027
- Quarter Students: June 21, 2027 - September 10, 2027
- Summer/Fall Co-op:
- Semester Students: May 24, 2027 - December 10, 2027
- Quarter Students: June 21, 2027 - December 10, 2027
WHAT YOU WILL BE DOING:
- We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute
- We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
- We may assign you to one or more of the following project work -
- Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection
- Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
- Fixing and addressing problems with deployed AI to improve user experience
- Support AI software teams with roadmap planning, collateral development, and customer engagements
WHO WE ARE LOOKING FOR:
- You are currently enrolled in a US based University in a Master’s degree program majoring in computer science, computer engineering, data science / analytics, or a related field
- If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
- Machine learning, data science, computer vision, statistics, and mathematics
- Programming in Python, C/C++
- Relational (SQL) and no-SQL databases
- Machine learning algorithms and frameworks
- Deep learning / AI framework like Pytorch, Tensorflow, Caffe.
- Familiarity with cloud (e.g., AWS, GCP, Azure)
Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.
This role is not eligible for visa sponsorship.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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Who's Hiring
- AMD64
- Amazon Web Services64
- NVIDIA26
- Applied Materials13
Top Industries Hiring
- Distribution & Wholesale
- Technology & Software
Artificial Intelligence Scientist Jobs in Santa Clara: Frequently Asked Questions
How do I get a artificial intelligence scientist job in Santa Clara?
The strongest path into Santa Clara's market is targeting semiconductor companies, cloud platform teams, and enterprise software firms clustered along Great America Parkway and the Lawrence Expressway corridor. Candidates with hands-on experience in deep learning, computer vision, or natural language processing stand out most here. A portfolio of applied research, published work, or open-source contributions tailored to hardware-adjacent AI gives you a concrete edge with Santa Clara's dominant employer types.
Which companies hire artificial intelligence scientists in Santa Clara?
Employers hiring artificial intelligence scientists in Santa Clara right now include AMD, Amazon Web Services, and NVIDIA, based on current listings on Migrate Mate as of August 2026. Santa Clara's employer base skews heavily toward semiconductor manufacturers, cloud infrastructure providers, and large-scale enterprise software companies with dedicated AI research divisions.
Are there remote artificial intelligence scientist jobs in Santa Clara?
Yes, though primarily for roles focused on modeling, research, and data analysis rather than hardware integration or lab work. About 75% of artificial intelligence scientist openings tied to Santa Clara are remote or hybrid as of August 2026, with flexibility most common on pure software and research tracks. Roles tied to chip design or on-device AI at Santa Clara semiconductor firms typically require on-site presence.
How can I get a artificial intelligence scientist job in Santa Clara with little or no experience?
The most realistic entry path in Santa Clara is through associate research engineer or AI engineer roles at mid-size enterprise software or cloud infrastructure companies in the Mission College and Great America Parkway areas, which hire from graduate programs more consistently than the large semiconductor firms. A strong master's thesis or internship project with measurable results, combined with familiarity with PyTorch or TensorFlow, converts well with these employer types. Contributing to open-source AI projects that align with Santa Clara's hardware or cloud focus also draws attention from local recruiting teams.
Which industries hire the most artificial intelligence scientists in Santa Clara?
Most artificial intelligence scientist openings in Santa Clara sit in Distribution & Wholesale and Technology & Software, per current listings on Migrate Mate as of August 2026. Santa Clara's position as a global center for semiconductor design and cloud infrastructure means AI hiring here is disproportionately driven by companies building the underlying hardware and platforms that power AI systems at scale.
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