Senior System Software Engineer Platform - Server Embedded Firmware at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, SemiconductorsIndustries

Requirements

  • Bachelor of Science Degree (or higher) in Electrical Engineering or Computer Science or equivalent experience
  • 5+ years of experience in low level microcontroller Firmware development on embedded microcontrollers using Zephyr or FreeRTOS
  • Demonstrated experience in developing BMC and/or microcontroller firmware for managing CPU, GPU, Network and Storage Devices
  • Experience with the following embedded interfaces - USB and I3C
  • Sound experience working with ARM Integrated Development Environments (IDE), debuggers, logic and protocol analyzers, and oscilloscopes
  • A deep understanding of interrupt schemes, multi-threading, DMA, memory management, and working in resource restricted embedded environments
  • Strong embedded programming and scripting skills using C/C++, Bash, Python, Go, etc
  • Experience reviewing and using hardware schematics, reference manuals, and datasheets for embedded development
  • Expertise working with server manageability protocols such as MCTP, PLDM, SPDM, SMBUS, and OCP recovery
  • Solid understanding of Linux fundamentals, various distributions, packages, upgrade mechanisms, and image building/deployment

Responsibilities

  • Design and implement Microcontroller Firmware for GPU Server platforms, focusing on but not limited to ARM M-class microcontrollers
  • Develop C/C++ server manageability features in an RTOS embedded-optimized environment
  • Perform hands-on work with microcontroller firmware bring-up, debugging, performance analysis, and coding manageability features for NVIDIA’s Server platforms
  • Develop embedded management software to enable reporting and connectivity between server management devices
  • Implement register-based communication and DMTF standard messaging protocols for seamless interaction between BMC, GPUs, switches, memory, I/O expanders, sensors, and local microcontroller peripherals
  • Design a highly portable microcontroller framework that will be implemented across a wide variety of server management subsystems
  • Develop and review code, write and review design documents, and collaborate with team members to meet product requirements
  • Instrument code for maximum coverage, automate unit tests, maintain detailed test case reports, and provide software quality reports based on static analysis, code coverage, and microcontroller load
  • Collaborate with security and hardware teams to ensure code aligns with security goals and influence hardware design and architecture review
  • Develop performance-optimized active monitoring BMC solutions using DMTF Standards such as MCTP, Redfish, SPDM, and PLDM specifications

Skills

C++
C
ARM Microcontrollers
RTOS
Embedded Firmware
Microcontroller Firmware
BMC
DMTF Protocols
Debugging
Performance Analysis
Unit Testing
Static Analysis
Code Coverage

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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