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 AI-HPC Storage Engineer
NVIDIA —Santa Clara, CA
Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience. As a member of the GPU AI/HPC Infrastructure team, you…
$180,000 - $339,250 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 Development Manager, AWS Neuron Machine Learning Distributed Training, Productivity Tooling
Annapurna Labs (U.S.) Inc. —Cupertino, CA
Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical…
From $166,400 a year
9d
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: $128K - $162K a year
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
Back-End / Machine-Learning Engineer
Protogon Research —Menlo Park, CA
ML Savvy: You bring hands-on experience with machine learning, familiar with both the theoretical aspects and practical implementation of ML algorithms.
Estimated: $132K - $167K a year
Quick Apply
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: $122K - $154K a year
Quick Apply
3d
Graduate 2024 Machine Learning Engineer I, San Francisco
Uber —Sunnyvale, CA
Completing a Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field, plus a 3-months total software engineering…
$140,000 a year
23h
Software Engineer, Machine Learning
Orby AI —Mountain View, CA
They also hired world-class engineering, research, and design talent from Google, Microsoft, Meta, and Stanford who have extensive experience building cutting…
Estimated: $155K - $196K a year
Quick Apply
8d
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
Senior Machine Learning Engineer
CARIAD —Mountain View, CA
Development of LLM and AI Models: Design and implement state-of-the-art Gen AI and machine learning models tailored for automotive applications, focusing on…
$126,800 - $193,500 a year
Quick Apply
1d
Machine Learning Engineer
Hireio —Santa Clara, CA
Strong design and coding capability, able to deliver high quality design and code. Develop and implement advanced algorithms for AI applications to drive…
$250,000 - $350,000 a year
Quick Apply
Senior Engineer - Generative AI Product Engineer
Capital One —San Jose, CA
Bachelor’s degree in Computer Science, Computer Engineering or a technical field. You will work with a team of world-class AI engineers and researchers to…
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
Computer Vision/Machine Learning Engineer
Apple —Sunnyvale, CA
Excellent background in theoretical physics, machine learning and experience on turning concepts into state of the art systems able to deal with the complexity…
$138,900 - $256,500 a year
13d
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
5h
Senior Engineer - Generative AI Product Engineering
Capital One —San Jose, CA
Bachelor’s degree in Computer Science, Computer Engineering or a technical field. You will work with a team of world-class AI engineers and researchers to…
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
AIML - Machine Learning Engineer, MIND
Apple —Cupertino, CA
Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field. Able to define metrics, evaluate ML models, and perform error…
$170,700 - $256,500 a year

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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 AI-HPC Storage Engineer

Senior GPU Supercomputer Scheduler Engineer

Software Development Manager, AWS Neuron Machine Learning Distributed Training, Productivity Tooling

Optical Imaging Scientist / Engineer

Machine Learning Engineer

Back-End / Machine-Learning Engineer

Machine Learning Engineer

Graduate 2024 Machine Learning Engineer I, San Francisco

Software Engineer, Machine Learning

Machine Learning Quality Engineer

Senior Machine Learning Engineer

Machine Learning Engineer

Senior Engineer - Generative AI Product Engineer

Senior System Software Architect, Servers

Computer Vision/Machine Learning Engineer

Machine Learning Engineer

Senior Engineer - Generative AI Product Engineering

Machine Learning Engineer

AIML - Machine Learning Engineer, MIND

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