Top 1356 Deep learning engineer Jobs in Cupertino, Ca

Deep Learning Product Research Engineer
NVIDIA —Santa Clara, CA
- $136,000 - $253,000 a year
- Full-time
- Computer Science
- 5 years
- Master's degree
7d
Deep Learning Product Research Engineer - Product Innovation
NVIDIA —Santa Clara, CA
- $136,000 - $253,000 a year
- Full-time
- Computer Science
- 5 years
- Master's degree
7d
Machine Learning Engineer
RADAR —Sunnyvale, CA
- $140,000 - $220,000 a year
- Hybrid work
- Computer science
- Computer Science
- Office
- Paid parental leave
- Health insurance
Quick Apply
Machine Learning Engineer
Apple —Sunnyvale, CA
- $150,400 - $277,600 a year
- Computer Science
- Bachelor of Science
- Mid-level
- Employee stock purchase plan
- Health insurance
Machine Learning Engineer
UnitX —Milpitas, CA
- $160,000 - $180,000 a year
- Full-time
- Computer Science
- Basic math
- Mid-level
- Health insurance
- Dental insurance
Deep Learning Engineer
Dyneti —San Mateo, CA
- Full-time
- Hybrid work
- Research
- Mid-level
- Doctor of Philosophy
Machine Learning Engineer
Amiri Recruiting —Santa Clara, CA
- $140,000 - $220,000 a year
- Full-time
- Mid-level
- Office
- Software development experience
Quick Apply
Senior Deep Learning Engineer
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 5 years
Senior Deep Learning Engineer - Perception
Imagry —San Jose, CA
- Full-time
- Computer Science
- English
- 3 years
Quick Apply
Senior Deep Learning Systems Engineer, Datacenters
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- System design
Senior Life Cycle Engineer, PyTorch - Deep Learning
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- Software troubleshooting
Senior Software Engineer, PyTorch - Deep Learning
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
Perception Machine Learning Engineer
Waymo —Mountain View, CA
- $170,000 - $216,000 a year
- Full-time
- Hybrid work
- Computer Science
- 3 years
- C++
Reinforcement learning engineer
Dexmate —Fremont, CA
- $120,000 - $300,000 a year
- Full-time
- Mid-level
Senior Deep Learning Software Engineer, TensorRT Performance
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Computer science
- Computer Science
- 3 years
Staff Software Engineer, Deep Learning Acceleration
Aurora Innovation —Mountain View, CA
- $189,000 - $274,000 a year
- Hybrid work
- Computer Science
- 5 years
- Bachelor of Science
Quick Apply
Machine Learning Engineer
Adobe —San Jose, CA
- $125,600 - $234,150 a year
- Full-time
- Computer Science
- Bachelor of Science
- Mid-level
Machine Learning Engineer, Emerging Product - USDS
TikTok USDS JV —San Jose, CA
- $136,800 - $359,720 a year
- Hybrid work
- Computer Science
- Mid-level
- Office
- Paid parental leave
- Paid holidays
Senior Software Engineer, Deep Learning Inference - Automotive Safety
NVIDIA —Santa Clara, CA
- $152,000 - $287,500 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
AI Compute Engineer - NVIS
NVIDIA —Santa Clara, CA
- $92,000 - $155,250 a year
- Full-time
- Computer science
- Computer Science
- System design

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Deep Learning Product Research Engineer

NVIDIA -
Santa Clara, CA

Apply Now

Job Details

Full-time
$136,000 - $253,000 a year
7 days ago

Qualifications

AI models
Software engineering
Content creation for technical audiences
Tooling
AI platforms (beyond public GPTs)
Computational framework
Machine intelligence
Software documentation
Machine learning libraries
Technical writing experience within technology
Machine learning frameworks
Developer tools
Generative AI

Full Job Description

NVIDIA is at the center of the AI revolution. Our deep learning platforms, models, frameworks, and accelerated computing technologies help developers, researchers, and enterprises build the next generation of intelligent applications!

The Deep Learning Product Research Engineering (PRE) team sits at the intersection of research, product engineering, and go-to-market. PRE exists to reduce uncertainty about what will make products succeed. Our primary outputs are working cutting-edge prototypes, product intelligence, and code-backed guidance that shape what NVIDIA builds and how customers embrace it. We are looking for a hands-on engineer and generative AI practitioner who can build prototypes, write high-quality code, evaluate emerging technologies, explain complex systems clearly, and turn research ideas into practical product capabilities. In this role, you will create prototypes, demos, white papers, benchmarks, blogs, sample applications, conference material, and other technical content. Work closely with research, engineering, product, marketing, field teams, customers, and the developer community to identify opportunities, surface feedback, and improve products across NVIDIA’s AI ecosystem!

What you'll be doing:

Lead product research for generative AI by evaluating emerging models, agent technology, reinforcement learning, and evaluation methods, then assessing what they mean for NVIDIA products.
Build proof-of-concept applications, benchmarks, and reference sample code that validate new capabilities and demonstrate product value.
Convert customer, developer, benchmark, usage, and field signals into structured product intelligence, including adoption trends, friction points, issue reproductions, and roadmap recommendations.
Develop enterprise-ready enablement assets such as reference architectures, integration playbooks, performance tuning recipes, and demo-to-production workflows for Nemotron, NeMo, NIM, and related NVIDIA AI software.
Partner with research, engineering, product management, technical marketing, field teams, and customers to turn insights into feature requests, launch inputs, positioning, and usability improvements.
Advance internal LLM expertise and tooling through reusable evaluation harnesses, profiling utilities, agentic workflows, and practical analysis of model behavior.
Distill hands-on research and engineering work into authoritative technical assets, including code examples, technical write-ups, white papers, demos, talks, and patents where appropriate.
Stay current with advances in model training, post-training, inference, agentic systems, evaluation, deployment, safety, and the broader AI developer ecosystem.

What we need to see:

Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent experience.
5+ years of proven experience in software engineering, machine learning engineering, AI engineering, solutions architecture, applied research, or a similar technical role.
Hands-on experience with machine learning, deep learning, or agentic AI, including building, training, fine-tuning, evaluating, deploying, or optimizing models and AI applications.
Practical experience with generative AI systems, including large language models, retrieval-augmented generation, agentic workflows, model evaluation, or AI application development.
Experience with Python and modern deep learning frameworks and libraries such as PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, TensorFlow, or similar tools.
Familiarity with modern AI-assisted development tools and coding agents such as Codex, Claude Code, Cursor, or similar systems.
Ability to create clear, accurate, technically rigorous, and compelling content for developers, including tutorials, blogs, sample code, white papers, benchmarks, or demos.
Strong communication and presentation skills, with the ability to explain complex technical topics to both expert and non-expert audiences..

Ways to stand out from the crowd:

PhD in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related field.
3+ years of hands-on experience with machine learning, deep learning, generative AI, large language models, multimodal models, reinforcement learning, model optimization, or agentic applications.
Experience designing or evaluating agentic AI systems, AI coding assistants, model evaluation harnesses, RAG pipelines, synthetic data workflows, or AI safety workflows.
Experience with NVIDIA AI software, models, or frameworks such as NeMo, NeMo Retriever, NeMo Guardrails, NeMo RL, NIM, TensorRT, Dynamo, CUDA, cuDNN, or Nemotron models.
Familiarity with the broader generative AI ecosystem, including open models, agent frameworks, vector databases, evaluation tools, deployment platforms, and emerging AI developer workflows.

With comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us and, due to unprecedented growth, our product management teams are growing fast. If you're a creative with a genuine passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 160,000 USD - 253,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 4, 2026.

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.

Apply Now

Refine Your Search

deep learning engineer jobs in cupertino, ca

Deep Learning Product Research Engineer

Deep Learning Product Research Engineer - Product Innovation

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Deep Learning Engineer

Machine Learning Engineer

Senior Deep Learning Engineer

Senior Deep Learning Engineer - Perception

Senior Deep Learning Systems Engineer, Datacenters

Senior Life Cycle Engineer, PyTorch - Deep Learning

Senior Software Engineer, PyTorch - Deep Learning

Perception Machine Learning Engineer

Reinforcement learning engineer

Senior Deep Learning Software Engineer, TensorRT Performance

Staff Software Engineer, Deep Learning Acceleration

Machine Learning Engineer

Machine Learning Engineer, Emerging Product - USDS

Senior Software Engineer, Deep Learning Inference - Automotive Safety

AI Compute Engineer - NVIS

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