20 Best Machine Learning Engineer jobs in San Jose, 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
Engineer, Generative AI
Vagaro —Pleasanton, CA
Conduct research, design, and develop generative AI-driven features and experiences customized to the unique preferences and behaviors of our users.
$160,000 - $190,000 a year
Quick Apply
Advanced Senior AI Research Scientist
Accenture —Mountain View, CA
Design, develop and implement advanced AI/ML models, especially LLM and other Gen AI models from scratch or existing foundation models via self-supervised…
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
2d
AI Software Engineer
Healthtap.AI —Palo Alto, CA
Bachelor's degree in Computer Science, Engineering, or a related field. Troubleshoot and resolve technical issues related to AI model deployment and backend…
$146,854 - $250,000 a year
Quick Apply
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
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
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
Sr. Fullstack Engineer Sitecore - Kohler Ventures
Kohler —Palo Alto, CA
Bachelor’s degree in Computer Science, Engineering, or related field. Solid understanding of REST API design and microservices architecture.
$124,450 - $158,550 a year
2d
Sr. Fullstack Engineer - Kohler Ventures
Kohler —Palo Alto, CA
Come join Kohler Ventures as Sr. Fullstack Engineer, as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning…
$114,500 - $145,450 a year
2d
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 Engineering (Remote-Eligible)
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…
1h
Computational Materials and Multiphysics Modeling Research at NASA Ames (PhD before start required)
NASA Ames Research Center —Mountain View, CA
Computational tools utilized include a combination of _ab initio_ methods, molecular dynamics simulations, machine learning, high throughput methods, mesoscale…
$75,000 - $140,000 a year
Quick Apply
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
4d
Senior Developer Technology Engineer
ARM —San Jose, CA
The team will work closely with external developers providing a bridge into our internal engineering team, and co-engineering with our ecosystem partners to…
From $156,187 a year
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
WeRide.ai —San Jose, CA
The ideal candidate should have extensive experience in algorithm development within the autonomous driving or related fields, along with strong skills in model…
$150,000 - $220,000 a year
Quick Apply
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 (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 - $174K a year
Quick Apply
10d
Machine Learning Engineer
Vagaro —Pleasanton, CA
Lead technical discussions and present complex ideas to non-technical stakeholders. The ideal candidate will have a strong background in machine learning, data…
$160,000 - $190,000 a year
Quick Apply

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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 San Jose, CA

Senior ASIC Timing Engineer

Engineer, Generative AI

Advanced Senior AI Research Scientist

Software Engineer Apprentice

AI Software Engineer

Senior GPU Supercomputer Scheduler Engineer

Optical Imaging Scientist / Engineer

ML/AI Principal Engineer

Sr. Fullstack Engineer Sitecore - Kohler Ventures

Sr. Fullstack Engineer - Kohler Ventures

Machine Learning Engineer

Senior Engineer - Generative AI Product Engineering (Remote-Eligible)

Computational Materials and Multiphysics Modeling Research at NASA Ames (PhD before start required)

Machine Learning Engineer

Senior Developer Technology Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Quality Engineer

Machine Learning Engineer (Hybrid)

Machine Learning Engineer

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