ZipRecruiter

Log In

1

Nvidia Machine Learning Jobs in Berkeley, CA (NOW HIRING)

Hedra

Senior Backend Engineer

San Francisco, CA · On-site

$175K - $275K/yr

Experience with k8s, docker, especially in the context of deploying machine learning models on nvidia hardware Benefits: * Competitive compensation and equity * 401k * Healthcare (Silver PPO Medical ...

Hedra

Senior Backend Engineer

San Francisco, CA · On-site

... machine learning models on nvidia hardware Company : Hedra is a content creation platform that uses AI to enables users to generate videos, images, and audio. Founded in 2023, the company is ...

BrainCo

Early Career AI/ML Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Keep abreast of the latest developments in machine learning and AI. Participate in code reviews ...

Hive

Data Center Technician

San Francisco, CA · On-site

$70K - $120K/yr

Our Hive machine learning systems run on our own data centers with hybrid emphases on high ... Experience with NVIDIA GPU linux software stack * Configuration Management - Chef * Version Control ...

Hive

Data Center Technician

San Francisco, CA · On-site

$70K - $120K/yr

Our Hive machine learning systems run on our own data centers with hybrid emphases on high ... Experience with NVIDIA GPU linux software stack * Configuration Management - Chef * Version Control ...

David AI

Head of Engineering

San Francisco, CA · On-site

$250K - $300K/yr

We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify ... We're a tight-knit team of product engineers, infrastructure specialists, and machine learning ...

Collate

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... Strong background in machine learning, NLP, or related fields, with publications or equivalent ...

Collate

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... Strong background in machine learning, NLP, or related fields, with publications or equivalent ...

Collate

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon ... Strong background in machine learning, NLP, or related fields, with publications or equivalent ...

next page

Showing results 1-20

All JobsNvidia Machine Learning JobsNvidia Machine Learning Jobs in Berkeley, CA

Nvidia Machine Learning information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

How much do nvidia machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for nvidia machine learning in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 per year, depending on experience, location, and employer.

How much do NVIDIA machine learning engineers make?

NVIDIA machine learning engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized expertise in deep learning and GPU programming can earn higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in competitive tech environments.

What is a Nvidia Machine Learning job?

A Nvidia Machine Learning job involves developing and optimizing AI models, deep learning frameworks, and GPU-accelerated applications. Engineers in this role work on cutting-edge research, building scalable ML solutions, and improving performance on Nvidia hardware like GPUs and AI accelerators. They collaborate with software and hardware teams to enhance AI capabilities across industries such as gaming, healthcare, and autonomous systems. Strong coding skills in Python, C++, and experience with ML frameworks like TensorFlow or PyTorch are often required.

What are the key skills and qualifications needed to thrive in the Nvidia Machine Learning position, and why are they important?

To thrive in an Nvidia Machine Learning role, a deep understanding of machine learning algorithms, proficiency in programming languages like Python or C++, and a solid background in mathematics or computer science are essential. Experience with Nvidia's CUDA, TensorRT, cuDNN, and familiarity with modern deep learning frameworks such as TensorFlow or PyTorch are highly valued, as are relevant certifications in AI or data science. Strong problem-solving skills, teamwork, and effective communication distinguish top candidates in collaborative, fast-paced environments. These skills are crucial for developing and optimizing AI solutions that leverage Nvidia’s advanced hardware and software platforms.

Does NVIDIA do machine learning?

Nvidia offers extensive tools and platforms for machine learning, including GPUs optimized for training and deploying models. Many machine learning engineers and researchers use Nvidia hardware and software frameworks like CUDA and cuDNN to accelerate AI development. The company also provides training resources and certifications related to AI and deep learning.

What are some common challenges faced by professionals in Nvidia Machine Learning roles?

One common challenge in Nvidia Machine Learning roles is optimizing models to fully leverage GPU architectures for both performance and efficiency, which requires continuous learning as the technology rapidly evolves. Team members often work on complex, large-scale projects that demand close collaboration across software, hardware, and research divisions. Navigating the fast pace of innovation and contributing effectively to cross-functional teams is essential for success. However, these challenges also make the role exciting and offer excellent opportunities for professional growth and hands-on experience with state-of-the-art AI solutions.

Is ML a high paying job?

Machine Learning roles, including positions like Nvidia Machine Learning engineers, tend to offer high salaries due to the specialized skills required, such as programming, data analysis, and knowledge of AI frameworks. Compensation varies based on experience, location, and industry, but generally ranks above average compared to many other tech roles.

How difficult is it to get hired at NVIDIA?

Getting hired for a machine learning role at NVIDIA can be competitive, often requiring strong technical skills in deep learning, programming (such as Python and CUDA), and relevant experience or advanced degrees. The hiring process typically involves multiple interviews, technical assessments, and a review of project work or research contributions.
What job categories do people searching Nvidia Machine Learning jobs in Berkeley, CA look for? The top searched job categories for Nvidia Machine Learning jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Nvidia Machine Learning jobs? Cities near Berkeley, CA with the most Nvidia Machine Learning job openings:
Nvidia Machine Learning jobs near you
Infographic showing various Nvidia Machine Learning job openings in Berkeley, CA as of June 2026, with employment types broken down into 50% Full Time, 31% Part Time, 15% Contract, and 4% Nights. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $52,141 per year, or $25.1 per hour.

Senior Backend Engineer

Hedra

San Francisco, CA • On-site

$175K - $275K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Summary:
As a Senior Backend Engineer, you will design, build, and deploy the backend services that power our creative brainstorming and creation products. You will work with web and video standards to power our suite of web-based image and video creation / editing tools.
You will also work on building and deploying backend services and APIs to our AWS infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with Postgres, Redis, S3, and DynamoDB to implement event streaming/processing logic.
You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. We're looking for full-time hires in our San Francisco office.
Required Experience:
  • Experience developing scalable services using Python, using frameworks such as FastAPI and Pydantic
  • Experience building and scaling cloud-based infrastructure leveraging Kubernetes and EKS
  • Experience working with relational databases
  • At least 5 years of professional experience building backend services

Nice to have:
  • Experience building high availability services using CI/CD, full ranges of test validation approaches, monitoring and alerting
  • Familiarity with authentication / authorization, utilizing standards such as oauth2, OIDC, and JWT
  • Experience writing unit and integration tests and working with CI/CD and dev-containers
  • Familiarity with AWS IAM, ALB/NLB, route53, S3, Cloudflare
  • Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka
  • Experience architecting and implementing REST APIs for distributed systems
  • Experience with k8s, docker, especially in the context of deploying machine learning models on nvidia hardware

Benefits:
  • Competitive compensation and equity
  • 401k
  • Healthcare (Silver PPO Medical, Vision, Dental)
  • Lunch and snacks at the office

Apply