ASIC Design Engineer - Security Subsystem at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, AutomotiveIndustries

Requirements

BTech/MTech degree
Proven track record in crafting complex Units and CPU/micro-controller based Sub-systems
2+ years of design experience
Strong digital design and verification fundamentals
Knowledge of security standards, protocols and system security architectures of modern SOC's (significant plus)
Excellent influencing skills for collaboration with cross-cultural, multi-geography and matrixed teams
Good debugging, analytical and problem-solving skills
Great interpersonal skills and ability to work as an excellent teammate

Responsibilities

Understand system security concepts and features
Make architectural trade-offs based on feature/performance/power requirements
Analyze system implications
Develop micro-architecture
Implement RTL
Drive verification
Close timing
Support silicon validation
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
Partner with verification teams to verify the correctness of implemented features
Work with timing, VLSI and Physical design teams to ensure design meets timing, interface requirements and is routable

Skills

Key technologies and capabilities for this role

RTL DesignMicro-architectureDigital DesignVerificationSystem SecurityTiming ClosureVLSIPhysical DesignSilicon Validation

Questions & Answers

Common questions about this position

What is the salary for this ASIC Design Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BTech/MTech, 2+ years of design experience, strong digital design fundamentals, knowledge of security standards and protocols as a plus, excellent influencing, debugging, analytical, problem-solving, and interpersonal skills.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, with brilliant and talented people, emphasizing collaboration across cross-cultural, multi-geography, and matrixed teams.

What makes a strong candidate for this position?

A strong candidate has a BTech/MTech, a proven track record in complex units and CPU/micro-controller subsystems, 2+ years of design experience, passion for technology, creativity, independence, and excellent teamwork skills.

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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