Senior Manager, Hardware Engineering at NVIDIA

Ra'anana, M, Israel

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductor, NetworkingIndustries

Requirements

Bachelor's or Master's Degree in Electrical Engineering, Computer Engineering, or relevant related field (or equivalent experience)
12+ overall years of industry experience in architecture, design, and methodology of cutting-edge board design development
8+ years of technical design management experience
Proven experience in leading multi-disciplinary projects
Hands-on lab skills
Experience in leading multi-layer PCB design
Experience in high current power delivery design
Comprehensive understanding of RTL implementations (CPLD/FPGA)
Ability to provide insight and guidance on trade-offs between power, performance, and area to meet product requirements
Strong interpersonal and communication skills, ability to quickly build relationships and prioritize/align conflicting needs and teams
Significant hands-on experience managing systems from concept through production

Responsibilities

Build the best team to implement and execute high-performance systems
Serve as a key member of the team technical management team developing world-class switch designs
Lead pioneering switch system design from concept to mass production
Collaborate and integrate with all HW project disciplines: Board Design, Mechanics, Thermal, PCB Layout, Production, Software/Firmware, RTL, and more
Plan the work of your team on multiple simultaneous development projects with a broader leadership team
Manage direct reports, including goal setting, coaching, performance appraisals, career planning, and compensation recommendations
Schedule projects, make realistic estimates of outcomes, and work to make projects timely and successful for high volume manufacture
Be hands-on and drive engineering teams in: specification definitions, electrical schematics, component selection, layout guidance, hands-on testing in a lab environment, accompanying production and qualification processes, micro-architecture, verification, characterization, design for testability, cost, reliability, and more

Skills

Hardware Engineering

Switch Design

Board Design

PCB Layout

RTL

Firmware

Thermal

Electrical Schematics

Component Selection

Micro-architecture

Verification

Characterization

Design for Testability

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.

Land your dream remote job 3x faster with AI

Try Jobo Free