Manager, Software TPM - Server Firmware and System Software 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, AI, HPCIndustries

Requirements

Bachelor of Science (or equivalent experience) or Master of Science degree in Computer Science, Electrical Engineering, or related field
10+ overall years of experience developing and leading complex low-level or system software projects
5+ years of experience in a people management role
Deep understanding of system architecture, such as server topologies, Out of band management, UEFI/BIOS, interconnects (e.g., PCIe, CXL), memory management, RAS architecture etc
Previous experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs
Strong interpersonal, verbal, and written communication skills with a capability to achieve objectives under fast-paced timelines
Proven ability to lead multiple projects with contending priorities
Strong people management and mentoring skills and consistent record to build cohesive teams
Ways to stand out
Prior Senior Manager experience leading either engineering or program management teams
Deep understanding of software engineering principles and large-scale enterprise system architecture
Previous experience coordinating activities between HW, Firmware, and SW application organizations

Responsibilities

Lead a team of TPMs driving the technical software and firmware execution for NVIDIA's NPI (New Product Introduction) and sustaining engineering teams
Drive the end-to-end SDLC for low-level server components, including firmware (BMC, UEFI/BIOS), drivers, and system management software, ensuring alignment with hardware schedules
Collaborate closely with NVIDIA product management and hardware engineering teams to define release plans and program objectives
Build a strong connection and feedback loop between sustaining and NPI engineering teams to improve product quality and development velocity
Lead process improvement initiatives and help propagate SDLC standards across multiple engineering and TPM organizations

Skills

Technical Program Management

Firmware

BMC

UEFI/BIOS

SDLC

System Software

NPI

Server Architecture

NVLink

InfiniBand

Grace CPU

PCIe

CXL

RAS

People Management

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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