Senior Software R&D Engineer, VLSI Physical Design at NVIDIA

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

BS, MS, PhD or equivalent experience in Electrical Engineering or Computer Science
10+ years in VLSI algorithms development using C++
Strong understanding of VLSI timing optimization and related concepts, including cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, congestion, etc
Familiarity with design implementation tools such as ICC2, Innovus, PrimeTime, Tempus, and StarRC and typical design flows written in Perl, Tcl, and Python
Strong communication and interpersonal skills

Responsibilities

Invent new optimization engines that fuse traditionally independent engines (e.g., co-optimization of legalization and sizing) with the objective of increasing chip frequency while minimizing power consumption across a suite of internal optimization tools
Improve algorithms (in C++) for gate-level sizing, buffering, useful clock skew, cell legalization, power minimization, ECO routing, and incremental parasitic extraction
Own the whole process from discovery and invention of new optimization opportunities, to developing solutions and working directly inside design teams to facilitate deployment

Skills

Key technologies and capabilities for this role

C++VLSI Physical DesignGate SizingBufferingCTSCell LegalizationIncremental Place and RouteECO RoutingParasitic ExtractionMachine LearningParallel ComputingEDA Tools

Questions & Answers

Common questions about this position

What experience level is required for this Senior Software R&D Engineer role?

The role requires 10+ years in VLSI algorithms development using C++.

What are the key technical skills needed for this position?

Candidates need a strong understanding of VLSI timing optimization concepts like cell libraries, interconnect models, crosstalk, glitches, IR drop, timing constraints, corners, and congestion, plus familiarity with tools such as ICC2, Innovus, PrimeTime, Tempus, StarRC, and scripting in Perl, Tcl, Python.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with C++14 or newer experience like lambdas and concurrency, and a detailed understanding of how multiple Physical Design steps interact for fusing into hybrid engines that improve PPA.

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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