Senior ASIC Design Engineer - NOC IP at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

BS / MS or equivalent experience
7+ years of design experience
Experience in RTL design of complex design units for at least two or three projects
Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB)
Deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug
Expertise in Verilog
Ways to stand out
Design experience in memory subsystem or network interconnect IP
Good debugging and problem solving skills
Scripting knowledge (Python/Perl/shell)
Leadership experience in leading small 2-3 member teams
Good interpersonal skills and ability & desire to work as a part of a team

Responsibilities

Own micro-architecture and RTL development of design modules
Micro-architect features to meet performance, power and area requirements
Work with HW architects to define critical features
Collaborate with verification teams to verify the correctness of implemented features
Co-operate with timing, VLSI and Physical design teams to ensure design meets timing, interface requirements and is routable
Interact with FPGA and S/W teams to prototype the design and ensure that S/W is tested
Work on post-silicon verification and debug

Skills

Key technologies and capabilities for this role

RTLMicro-architectureASIC DesignVCSDebussyGDBSynthesisTiming AnalysisVLSIPhysical DesignFPGAPost-Silicon VerificationNOC IP

Questions & Answers

Common questions about this position

What experience level is required for this Senior ASIC Design Engineer role?

A BS/MS or equivalent experience with 7+ years of design experience is required, including RTL design of complex design units for at least two or three projects.

What are the key responsibilities in this position?

You will own micro-architecture and RTL development, micro-architect features to meet performance, power and area requirements, collaborate with verification and other teams, and work on post-silicon verification and debug.

Is this a remote or hybrid position?

This is a hybrid position.

What skills will help me stand out as a candidate?

Design experience in memory subsystem or network interconnect IP, good debugging and problem-solving skills, scripting knowledge in Python/Perl/shell, leadership experience leading small teams, and good interpersonal skills.

What is the salary for this role?

This information is not specified in the job description.

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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