Senior Analog and Mixed Signal Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

BSEE or equivalent experience (MS preferred)
6+ years of industry experience in deep-submicron CMOS technologies
Analytical and intuitive understanding of transistor level analog design, layout, and simulation
Hands-on design experience in performance analog and hybrid Phase Locked Loops (PLLs)
Hands-on design experience in analog-to-digital (ADC) and digital-to-analog (DAC) data converters
Experience in analog subcells such as VCO, LDO, bandgap, charge-pump, op-amps, interpolator circuits
Experience in deep sub-micron processes
Experience with simulation tools such as Spectre, HSPICE, AFS, MATLAB, SystemVerilog, Python
Proficiency with Cadence custom circuit design tools like ADE-L and ADE-XL
Understanding and experience in running Monte-Carlo, noise simulations, and stability analysis
Capable of understanding DRC and LVS results with verification tools (Calibre, ICV, or similar)
Proficiency in scripting languages like Perl, Python, MATLAB (plus)
Experience with digital PLL, TDC, DSP, and control theory related to digital PLLs (plus)
Ability to work effectively in a team, with good interpersonal skills, enthusiasm, and positive energy

Responsibilities

Design and implement high-speed interfaces and complex mixed-signal circuits using state-of-the-art sub-micron CMOS technologies and various EDA tools
Design high-speed analog and hybrid Phase Locked Loops (PLLs) and associated subblocks including VCO, charge-pump, dividers, state machines, LDO, bandgap, TDC, interpolator circuits, high-speed buffers
Design data converters (analog-to-digital and digital-to-analog converters)
Contribute to architecture development and transistor-level circuit design of associated blocks like comparators, digital state machines, high-performance op-amps
Work closely with mask design engineers to deliver the physical design
Work with characterization groups for silicon evaluation
Help support technology transfer to product development teams
Perform architecture studies, circuit designs & simulations, floor-planning
Instruct mask designers, perform reliability verifications, and silicon bring-up

Skills

CMOS

Analog Design

Mixed-Signal

Phase Locked Loops

VCO

Charge-Pump

Dividers

LDO

Bandgap

TDC

Interpolator Circuits

High Speed Buffers

Data Converters

ADC

DAC

Comparators

Op-Amps

EDA Tools

Floor-Planning

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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