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

Orchard

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will develop solutions for machine learning and computer vision ... NVIDIA Jetson. • Experience prototyping, evaluating, or deploying new ML/CV models on the edge.

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Nvidia Machine Learning information

See Fremont, CA salary details

$27.9K

$46.6K

$96.3K

How much do nvidia machine learning jobs pay per year?

As of Aug 12, 2026, the average yearly pay for nvidia machine learning in Fremont, CA is $46,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,600.00 and $50,400.00 per year, depending on experience, location, and employer.

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?

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.

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.

What are popular job titles related to Nvidia Machine Learning jobs in Fremont, CA? For Nvidia Machine Learning jobs in Fremont, CA, the most frequently searched job titles are:
What job categories do people searching Nvidia Machine Learning jobs in Fremont, CA look for? The top searched job categories for Nvidia Machine Learning jobs in Fremont, CA are:
Nvidia Machine Learning jobs near you
Infographic showing various Nvidia Machine Learning job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,615 per year, or $22.4 per hour.

Machine Learning Engineer, Foundation Model Services

Apple

Santa Clara, CA • On-site

Full-time

Re-posted 21 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren't afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, "we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people's face".
Foundation Model Services team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make a difference in life of people. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.
Description
* Work closely with product teams to build production grade solutions to launch models serving millions of customers in real time.
* Work along side Foundation Model Research team to prototype and develop inference for cutting edge model architectures.
* Build tools to understand bottlenecks in Inference for different hardwares and use cases.
Minimum Qualifications
5 year+ industry experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
Experience with high throughput services particularly at supercomputing scale.
Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
Proficient in building and maintaining systems written in modern languages (eg: Golang, python)
Bachelor's degree or higher in Computer Science or related technical field.
Preferred Qualifications
Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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