20 Best machine learning engineer jobs in Cupertino, CA (Hiring Now!)

Senior ASIC Timing Engineer
NVIDIA —Santa Clara, CA
Familiarity with logic synthesis, equivalence checking, DFT, Floorplanning, Place & Route, and ECO implementation methodology and tools.
$128,000 - $304,750 a year
Senior GPU Supercomputer Scheduler Engineer
NVIDIA —Santa Clara, CA
This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with…
$148,000 - $419,750 a year
Software Engineer Apprentice
Multiverse (Apprenticeships) —Sunnyvale, CA
As a Multiverse apprentice you'll have access to awesome social events, extra training from great companies and your own personal coach who will support and…
$70,000 a year
4d
ML/AI Principal Engineer
Kid Company —Palo Alto, CA
Research and implement state-of-the-art machine learning and AI models to achieve industry-leading performance. Must be in *CA* area.
$120,000 - $130,000 a year
Quick Apply
Optical Imaging Scientist / Engineer
ASML —San Jose, CA
ASML/Brion brings together the most creative minds in science and technology to develop computational lithography software to enable customers on the best…
Estimated: $127K - $161K a year
Senior System Software Architect, Servers
NVIDIA —Santa Clara, CA
Our software architects excel at pushing the state of the art, while making the best engineering trade-offs. A deep knowledge of OS/driver software stacks, e.g.…
$220,000 - $419,750 a year
Machine Learning Engineer
Zoom —San Jose, CA
Research, experiment, and evaluate statistical and machine learning techniques to develop ML models with instincts that satisfy our requirements and security…
$150,000 a year
12h
Machine Learning Engineer (Hybrid)
Anetac, Inc. —Los Altos, CA
As our Senior ML Engineer, you will conceive, code, and deploy data science models at scale using the latest industry tools. Reports To: Head of Engineering.
Estimated: $137K - $173K a year
Quick Apply
11d
Computer Vision and Machine Learning Engineer
Apple —Cupertino, CA
Strong programming, debugging, and design skills. 3+ years industry experience developing deep learning models for computer vision.
$138,900 - $256,500 a year
6d
Machine Learning Quality Engineer
ServiceNow —Santa Clara, CA
Ability to use tools (such as IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) to assist with…
$121,600 - $188,400 a year
Quick Apply
Machine Learning Engineer
Amiri Recruiting —Santa Clara, CA
Experience training and iterating on large production neural networks in any domain (self-driving, language models, etc.) is a strong plus.
$140,000 - $220,000 a year
Quick Apply
Machine Learning Engineer
ProIT Inc. —Cupertino, CA
Advise design reviews, operational reviews, and the deployment of highly available infrastructure. Influence, design and create new architectures, standards and…
$110,392.43 - $140,827.44 a year
Quick Apply
Java - Senior Lead Software Engineer
JPMorgan Chase & Co —Palo Alto, CA
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
$171,000 - $260,000 a year
AIML - ML Engineer, Machine Learning Platform & Infrastructure
Apple —Cupertino, CA
Experience with machine learning algorithms and tools. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as…
$138,900 - $256,500 a year
1d
AIML - Machine Learning Engineer, Siri Information Intelligence
Apple —Cupertino, CA
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and…
$170,700 - $300,200 a year
16h
Machine Learning Engineer
Roche —Santa Clara, CA
We are looking for a signal processing engineer to develop innovative signal processing, machine learning and deep learning algorithms for real-time primary…
Estimated: $117K - $148K a year
5d
Deep Learning Compiler Engineer for Ryzen AI NPU
Advanced Micro Devices, Inc —San Jose, CA
Develop back-end optimization passes to convert high-level representation into driver calls. Strong understanding of compiler design principles (front-end,…
Estimated: $124K - $157K a year
Machine Learning Engineer
Karwell Technologiies Inc —San Jose, CA
A Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field. Solid knowledge of software engineering best practices, including…
$115,198.06 - $138,733.16 a year
Quick Apply
5d
Machine Learning Engineer
TOP RPO LLC —Palo Alto, CA
A technical Bachelor's degree or equivalent practical experience developing software. Work directly with ex-Google execs to develop and execute on cutting-edge…
Estimated: $124K - $157K a year
Quick Apply
8d
Senior Lead Software Engineer- Data Engineer (CRDB)
JPMorgan Chase & Co —Palo Alto, CA
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors. Hands on experience in AWS Cloud.
$171,000 - $260,000 a year
8d

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Senior ASIC Timing Engineer

NVIDIA - Santa Clara, CA

Apply Now

Job Details

Full-time $128,000 - $304,750 a year

Qualifications

Bachelor of Science
Analysis skills
SoC
Bachelor's degree
Perl
Scripting
AI
2 years
Communication skills
Python
Debugging

Full Job Description

We are now looking for a motivated ASIC Timing Engineer to join our dynamic and growing team. If you are looking for a challenging and exciting role in raising frequency of NVIDIA's designs and if you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today!

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

What you'll be doing:

Develop and execute timing closure plans for NVIDIA's next generation of CPU, GPU or SOC designs.
Owning STA of large subsystems and full chip designs or at block-level with additional responsibilities for block level synthesis/optimization
You will be responsible for all aspects of timing including, timing analysis and closure, timing environment, setting up constraints and defining the timing methodology for the next generation of designs.
Finding the right tradeoffs and balance between frequency and power/area/congestions/yield/etc.

What we need to see:

BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years experience or MS (or equivalent experience) with 2+ years experience in ASIC Design and Timing
Great understanding of timing and physical design fundamentals
Hands-on experience in ASIC timing closure at full chip or subsystem level with a good understanding of RTL/logic design skills as well as physical design/circuit skills for timing closure.
Excellent problem solving and debugging skills for timing issues, timing constraints and clocking.
Expertise in STA tools and methodologies for timing closure with a good understanding of deep sub-micron process effects.
Strong background and experience in timing constraints generation, analysis and debug including SDCs.
Knowledge of timing corners/modes, process variations and signal integrity related issues and modeling.
Familiarity with logic synthesis, equivalence checking, DFT, Floorplanning, Place & Route, and ECO implementation methodology and tools
Proficiency in programming and scripting languages, such as, Perl, Tcl, Python, etc. and ability to understand and improve existing flows and methodologies.
Strong interpersonal and communication skills and ability to collaborate with cross-functional teams.

Ways to stand out from the crowd:

Deep understanding of CPU, GPU, SOC architecture and designs as well as ability to plan and craft timing critical paths.
Background and expertise in high frequency design closure at the full chip or major subsystem level..
Ability to develop new methodologies/flows as well as workflows to aid timing convergence.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.

The base salary range is 128,000 USD - 304,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and

benefits

. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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

machine learning engineer jobs in Cupertino, CA

Senior ASIC Timing Engineer

Senior GPU Supercomputer Scheduler Engineer

Software Engineer Apprentice

ML/AI Principal Engineer

Optical Imaging Scientist / Engineer

Senior System Software Architect, Servers

Machine Learning Engineer

Machine Learning Engineer (Hybrid)

Computer Vision and Machine Learning Engineer

Machine Learning Quality Engineer

Machine Learning Engineer

Machine Learning Engineer

Java - Senior Lead Software Engineer

AIML - ML Engineer, Machine Learning Platform & Infrastructure

AIML - Machine Learning Engineer, Siri Information Intelligence

Machine Learning Engineer

Deep Learning Compiler Engineer for Ryzen AI NPU

Machine Learning Engineer

Machine Learning Engineer

Senior Lead Software Engineer- Data Engineer (CRDB)

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