Applied Machine Learning Engineer - VLSI Design jobs in United States
cer-icon
Apply on Employer Site
company-logo

NVIDIA · 7 hours ago

Applied Machine Learning Engineer - VLSI Design

NVIDIA is a pioneer in bringing groundbreaking technology to new markets, and they are seeking an Applied Machine Learning Engineer specializing in VLSI Design. The role involves working on hardware design projects, translating requirements into data science problems, and optimizing machine learning models.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
check
Growth Opportunities
check
H1B Sponsor Likelynote
Hiring Manager
Christian Bada
linkedin

Responsibilities

Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data, Circuit Optimization and Spice correlation
Work on projects with applications ranging from analysis of silicon data, manufacturing process variation analysis, VLSI circuit design and timing etc
Responsible for translating the requirements into a data science problem, architect and build solutions
Test and release of models that integrate with existing machine learning and visualization tools within the organization
Responsible for analyzing the datasets, raise and validate hypotheses, extract relevant features and build models on top of them
Optimize the models and algorithms until they reach the desired QOR

Qualification

VLSI DesignCircuit DesignPythonMachine LearningTensorFlowC++Effective CommunicationTeam CollaborationContinuous Learning

Required

MS/PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics (or equivalent experience)
5+ years experience in circuit design, VLSI, ASIC, EDA, Silicon analysis is required
Prior experience in Applied Math/ML/Software programming with proven ability in writing code in Python, C++
Experience with ML/DL algorithms with frameworks such as TensorFlow, PyTorch, Spark is a definite plus

Preferred

Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
Effective verbal/written communication, and technical presentation skills
Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

leader-logo
Jensen Huang
Founder and CEO
linkedin
leader-logo
Michael Kagan
Chief Technology Officer
linkedin
Company data provided by crunchbase