CUDA Jobs in the San Francisco Bay Area
102 vacancies found, page 1 of 3
3 fresh vacancies found today
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- Intuitive
- Capital One
- Capital One
- Capital One
- Capital One
Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)
$229,900 - 262,400 / year
- Office · New York, San Francisco +2
- Lead & Manager
- Intuitive
- Samsung Semiconductor
- PsiQuantum
- Capital One
AI Engineer 4 (Gen AI Platform Services: Agentic Systems)
$197,300 - 225,100 / year
- Office · San Francisco, US +2
- Senior
- Capital One
AI Engineer 4 (MLX, Agentic AI, Gen AI workflows, GraphRAG)
$197,300 - 225,100 / year
- Office · New York, San Francisco +2
- Senior
- Capital One
- Gimlet Labs
- Capital One
AI Engineer 4 (Gen AI Platform Services: Agentic AI)
$197,300 - 225,100 / year
- Office · New York, San Francisco +2
- Senior
- General Motors
- Relace
- Rhoda AI
- Capital One
AI Engineer 4 (AI Foundations, VLM Customization)
$197,300 - 225,100 / year
- Office · San Jose, US +1
- Senior
- ASML
Director of Algorithms Engineering - Physics
$223,125 - 327,250 / year
- Hybrid · San Jose, US
- Lead & Manager
- Capital One
AI Engineer 4 (MLX, Agentic AI, Gen AI platform Services)
$197,300 - 225,100 / year
- Office · San Jose, San Francisco +2
- Senior
- Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$229,900 - 262,400 / year
- Office · San Jose, San Francisco +2
- Senior
- Preference Model
Member of Technical Staff - Research Engineer, RL Environments
$200,000 - 350,000 / year
- Office · San Francisco
- Senior
- Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$229,900 - 262,400 / year
- Office · US, San Francisco +2
- Senior
- Capital One
- Capital One
- Intuitive
- Capital One
AI Engineer 5 (Gen AI SDK: Agentic AI, Guardrails, Evaluation)
$229,900 - 262,400 / year
- Office · New York, San Francisco +2
- Senior
- Capital One
AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services)
$229,900 - 262,400 / year
- Office · San Jose, San Francisco +2
- Senior
- Capital One
- Inferact
- Wayve
- Capital One
- Capital One
- Wayve
- Wayve
- Waabi
Senior / Staff Research Engineer, Generative AI Deployment
$200,000 - 275,000 / year
- Hybrid · Toronto, San Francisco
- Senior
- Intuitive
Senior Systems Research Engineer – Embodied AI & Robotics
Salary by agreement
- Office · Sunnyvale
- Senior
- Capital One
AI Engineer 4 (Gen AI Platform Services)
$197,300 - 225,100 / year
- Office · San Francisco, US +2
- Senior
- Gallatin
- Capital One
AI Engineer 5 (FM Hosting, LLM Inference)
$229,900 - 262,400 / year
- Office · New York, San Francisco +2
- Senior
- Hedra
- ASML
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About CUDA Jobs in the San Francisco Bay Area
Tech roles that ask for CUDA, in every field and at every level, at tech companies in the US, UK, Canada, Australia and Europe. Every role on this page has an office in the San Francisco Bay Area. We find them on company career pages and in the closed places where hiring teams post first, often before they reach the big job boards.
Right now there are 102 open roles here, 15 of them added in the last 7 days. The skills asked for most: CUDA, Python, PyTorch and LLMs.
- open jobs
- 102
- new in the last 7 days
- 15
- typical yearly salary
- $211K to $249K
- with Direct Apply
- 1
How many CUDA Jobs in the San Francisco Bay Area are open right now?
There are 102 open roles here, 15 added in the last 7 days. The list updates as we find new vacancies and closes the ones that are filled.
How much do CUDA Jobs in the San Francisco Bay Area pay?
On the open roles here that state a salary, the middle half pays between $211K and $249K a year, converted to US dollars. Each vacancy shows its own range in its currency.
Are there remote CUDA Jobs in the San Francisco Bay Area?
Not right now: every open role here asks for some time in an office. Each vacancy says where the office is.
Can I message the hiring manager directly?
1 of these roles come with Direct Apply: a verified contact on the hiring side, so your message reaches a person instead of an ATS filter.
What does Early Window mean?
9 of these roles were found in the last 48 hours, before they spread to the big job boards. Applying early means fewer people in line ahead of you.