EDA Workflow Optimization Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment
Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on
Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments
Hands-on experience with EDA tools
Experienced in UNIX Systems programming and automation using Python and/or Shell
Authoritative level usage of UNIX and UNIX utilities
Excellent planning and communication skills
Experience in applying data analysis principles and influencing data-driven decisions
Flexibility/adaptability working in a dynamic environment with changing requirements
BS in Computer Science or equivalent experience; MS (preferred)
5+ yrs of relevant experience

Responsibilities

Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light
Participate in the full life-cycle of tool development, test, and deployment
Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments
Build metrics that are reliable and easy to use by hundreds of engineers around the world
Continuously improve our chip development process
Directly contribute to the overall quality and time to market for our next generation chips
Understand workflows covering the full chip design process from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production
Guide teams to improve, and sometimes re-invent those flows
Perform investigations to understand flaws and opportunities
Construct metrics to continuously measure performance of our flows and services, and other infrastructure
Work with your team of EDA and software experts to build new infrastructure in an agile, production software environment
Continuously innovate and enhance scalable, reliable, high performance systems and tools to enable the next generation of chips

Skills

Key technologies and capabilities for this role

EDAWorkflow OptimizationChip DesignVerificationEmulationLayoutPackagingAgile DevelopmentSoftware InfrastructurePerformance MetricsScalable Systems

Questions & Answers

Common questions about this position

What skills are required for the EDA Workflow Optimization Engineer role?

Required skills include strong experience investigating and debugging complex problems in a UNIX engineering environment, hands-on experience with architectural decisions in storage, networking, and compute, experience with ASIC, VLSI, CAD/EDA or mixed signal design workflows, hands-on experience with EDA tools, UNIX Systems programming and automation using Python and/or Shell, authoritative UNIX usage, excellent planning and communication skills, and experience in data analysis.

What is the compensation for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fueled by innovation and great people working in diverse teams.

What makes a strong candidate for this role?

A strong candidate will have hands-on experience with EDA tools, UNIX systems programming using Python or Shell, debugging complex problems in UNIX environments, and experience with chip design workflows like ASIC or VLSI, along with excellent communication and data analysis 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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