Senior Mixed Signal Design Engineer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, Artificial IntelligenceIndustries

Requirements

  • Hold a Master of Science in Electrical Engineering, Computer Engineering or related field with strong analog design background (or equivalent experience)
  • Minimum of 5 years analog design experience in industry
  • CMOS Analog / Mixed Signal Circuit Design Experience in deep sub-micron process (especially in FINFET)
  • Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like Spectre, HSpice, Finesim, XA)
  • Experience in crafting test bench environments for component and top level circuit verification
  • Behavioral modeling of analog and digital circuits
  • Strong debugging and analytical skills
  • Analog simulation for noise analysis, loop stability analysis, ac/dc/tran analysis, monte-carlo, etc
  • Strong interpersonal skills and ability & desire to work as a great teammate

Responsibilities

  • Develop and implement high speed interfaces and analog circuits
  • Hands on experience taking innovative integrated circuit designs at data rates of 25Gbps and higher from concept through silicon characterization
  • Define circuit requirements and complete design from schematic, layout, and verification to characterization
  • Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice or like
  • Take ownership for the architecture, transistor design and verification using industry standard EDA tools such as Cadence Virtuoso
  • Optimize circuit to meet the specifications for system performance
  • Work closely with layout engineers by providing detailed floorplan and guidance for matching and high-speed routings
  • Provide support for post-silicon bring-up and debugging

Skills

Mixed-Signal Design
High-Speed Interfaces
Analog Circuits
Deep-Submicron CMOS
Spectre
HSPICE
Cadence Virtuoso
Schematic Design
Transistor Design
Verification
Floorplanning
Layout Guidance
Post-Silicon Bring-Up
Debugging

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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