Senior Software Manager - Data Center Performance at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High Performance ComputingIndustries

Requirements

BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience
12+ overall years in the area of system architecture and design
5+ years of managing a team
Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs
Background in data center/server workloads and performance analysis
Familiarity with SoC system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
Comfortable operating in highly matrixed organizations while holding a leadership position
Known for your strong interactive, verbal and written communications skills
Ways to stand out from the crowd:
Experience in the field of data center scale performance and efficiency (perf/W)
History of working with high-profile customers
Familiarity with benchmarks and workloads commonly assessed by CSPs & HPC customers

Responsibilities

Lead a team that focuses on performance for our data center platforms & products. From pathfinding, pre-silicon readiness, verification, post-silicon and through to production
Define processes and execution methodologies for the organization to deliver on performance goals
Work directly with major customers to understand their performance requirements, concerns, limitations and work to align their roadmap with NVIDIA’s roadmap
Deliver benchmarking & telemetry infrastructure required to effectively influence design choices
Collaborate with NVIDIA's Architecture, SW, Platform and HPC teams on product positioning, competitive analysis and go-to-market strategy for NVIDIA's data center products
Deliver executive level briefings on performance and perf/W; both internally & to key customers/partners
Mentor architects and engineering teams to grow them into future leaders

Skills

GPU

NVLink

InfiniBand

Grace CPU

HPC

Performance Optimization

Pre-Silicon Verification

Post-Silicon Validation

Team Management

Customer Roadmap Alignment

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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