Senior Silicon Power Engineer at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Artificial Intelligence, AutomotiveIndustries

Requirements

B. Tech or M. Tech in Electronics Engineering stream, with 4+ years related work experience
Excellent problem solving, collaborative, and interpersonal skills
Strong understanding of aspects related to silicon power and performance, technology node impacts, Hardware and Software interactions at system level
Hands-on experience with silicon bring up, validation and productization
Good knowledge in board and system design considerations, Power supply design
Very good problem solving and hardware debugging skills, very good data analysis and logical reasoning skills
Strong familiarity with HW lab environment and understanding of various lab equipment
Experience in working with Windows; Linux exposure is highly preferred
Working experience with scripting languages like Perl and/or Python is a plus
Must be a great teammate and ready to collaborate with global teams from diverse cultural backgrounds in a high energy environment
Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms
Background with power supply and substrate noise analysis and mitigation
Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications

Responsibilities

Perform test case execution, debug silicon issues related to correlation and functionality, generate high quality results and provide design feedback
Find creative solutions to sophisticated silicon and system level problems and be on the frontline to lead show-stopper bugs, to enable product shipment
Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, and operations in a dynamic & high-energy work environment to bring industry-defining products to market
Collaborate with cross-functional teams to craft essential next generation product features that are important for performance, power optimization, and power management
Collaborate to craft tools for post-silicon work, build post-silicon methodologies to characterize silicon power, correlate silicon behaviour with simulation
Work with various Arch & Design teams to come up with test plans of new features
Collaborate with other validation & bring up teams to bring up/characterize silicon power and power saving features
Work with design & estimation teams to correlate with pre-silicon expectation, work with HW and SW teams to do the vital tuning and optimization of silicon power
Develop power consumption models to be used in binning, productization and customer application notes, characterize and develop various power control mechanisms together with Arch/Design/SW teams

Skills

Key technologies and capabilities for this role

Silicon CharacterizationPower OptimizationSilicon DebuggingTest Case ExecutionATE TestingPost-Silicon ValidationPower ManagementHardware EngineeringFirmware EngineeringSystem Architecture

Questions & Answers

Common questions about this position

What education and experience are required for the Senior Silicon Power Engineer role?

A B. Tech or M. Tech in Electronics Engineering stream with 4+ years of related work experience is required.

What key skills are needed for this position?

Candidates need excellent problem solving, collaborative, and interpersonal skills, along with a strong understanding of silicon power and performance, technology node impacts, and hardware-software interactions at the system level. Hands-on experience with silicon bring up, validation, and productization is also essential.

What is the work environment like at NVIDIA's Silicon Solutions Group?

The team operates in a dynamic and fast-paced environment, working alongside system architects, chip and board designers, software/firmware engineers, and other cross-functional teams in a high-energy setting to bring products to market.

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

This information is not specified in the job description.

What is the salary or compensation 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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